Artykuły w czasopismach na temat „Agglomeration”
Kliknij ten link, aby zobaczyć inne rodzaje publikacji na ten temat: Agglomeration.
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Sprawdź 50 najlepszych artykułów w czasopismach naukowych na temat „Agglomeration”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Przeglądaj artykuły w czasopismach z różnych dziedzin i twórz odpowiednie bibliografie.
1
Zhang, Xiang Rong, i Lian Ze Wang. "The Effect of an External AC or DC Electric Field on Collision and Agglomeration in an Electrostatic Agglomerator". Applied Mechanics and Materials 152-154 (styczeń 2012): 997–1005. http://dx.doi.org/10.4028/www.scientific.net/amm.152-154.997.
Pełny tekst źródłaStreszczenie:
This article simulated the collision and agglomeration between bipolarly charged particles in an electrostatic agglomerator. The EHD turbulent flow was solved and the flow parameters were extracted a priori. The particle initial charge was obtained by tracking particles with a certain diameter in the charging zone. When simulating collision and agglomeration in the agglomerating zone, the initial charge on a particle was sampled from the charge distribution by statistical analysis. The classical stochastic model for calculating collision between neutral particles was extended to calculate collision between charged particles, and the effect of particle charge on collision and agglomeration was embodied in the agglomeration criteria. The effect of an external DC and AC electric field on the collision and agglomeration was investigated.
2
Ding, Yi. "The impact of agricultural industrial agglomeration on farmers’ income: An influence mechanism test based on a spatial panel model". PLOS ONE 18, nr 9 (8.09.2023): e0291188. http://dx.doi.org/10.1371/journal.pone.0291188.
Pełny tekst źródłaStreszczenie:
Recently, China has exerted great efforts to develop agro-industrial agglomerations and optimize the agricultural industry’s regional distribution to increase farmers’ income. This study posits that agro-industrial agglomeration should be “dual body,” provides a theoretical framework for agro-industrial agglomeration’s effects on farmer income, and uses a spatial panel model to prove its influence on farmers’ income and the spatial spillover effect. The results show that agro-industrial agglomeration in a specific region significantly impacts farmers’ income and also has a spillover effect on income in adjacent regions. Further research shows that, contrary to traditional agglomeration theory, agricultural industry agglomeration has little impact on farmers’ agricultural production but primarily promotes the establishment and development of agricultural organizations, thus improving farmers’ income. Finally, the paper discusses the positive and negative effects of agro-industrial agglomeration on the Global Sustainable Development Goals(SDGs), and proposes some useful suggestions.
3
Chen, Le, Leshui Yu, Jiangbin Yin i Meijun Xi. "Impact of Population Density on Spatial Differences in the Economic Growth of Urban Agglomerations: The Case of Guanzhong Plain Urban Agglomeration, China". Sustainability 15, nr 19 (9.10.2023): 14601. http://dx.doi.org/10.3390/su151914601.
Pełny tekst źródłaStreszczenie:
In the new period of ups and downs in the international environment, it is necessary to seek a new endogenous impetus for the economic growth of urban agglomerations. Population agglomeration provides a new idea to explain the spatial differences in the economic growth of urban agglomerations. Thus, we ask the question, does population agglomeration affect the spatial differences in the economic growth of urban agglomerations, and how? This study first measured the spatial differences in district- and county-scale economic growth in China’s Guanzhong Plain urban agglomeration from 2005 to 2020 and then constructed an empirical formula to calculate the impact of population density on the urban agglomeration’s economic growth, taking into account the roles of both intra- and inter-district and county interactions. Thus, based on the population density data extracted from nighttime lighting data, we analyzed the impact of population density on economic growth within urban agglomerations, as well as the extent of the impact of population density on economic growth when incorporating spillover effects from neighboring districts and counties. The results indicate that, firstly, the Guanzhong Plain urban agglomeration in China has formed a “core-periphery” development pattern, with the main urban areas of Xi’an–Xianyang and Baoji as the core and the core area gradually spreading out to the neighboring districts and counties of their cities. Secondly, population density can significantly and steadily promote the economic growth of the districts and counties within the urban agglomeration, and the population agglomeration of districts and counties with railway stations can have a stronger effect on the economic growth of these districts and counties. Third, the agglomeration of economic and demographic factors in neighboring counties has a positive spillover effect on the local economy, while the positive impact of population density on economic growth remains unchanged when it is integrated into the spillover effect of neighboring counties. This study not only provides a theoretical basis for systematically exploring the influence of population density on the economic growth of urban agglomerations but also provides a reference for local governments to formulate policies related to regional economic development and spatial territorial planning. According to the research conclusion, this study suggests that local governments can continue to promote the regional development policy of spatial agglomeration and intensive land planning, strengthen the construction of the industrial chain and road network within the urban agglomeration, and deepen the network connection between districts and counties.
4
Xu, Jianing, i Weidong Li. "High-Speed Rail and Industrial Agglomeration: Evidence from China’s Urban Agglomerations". Land 12, nr 8 (8.08.2023): 1570. http://dx.doi.org/10.3390/land12081570.
Pełny tekst źródłaStreszczenie:
This paper explores the relationship between high-speed rail (HSR) and industrial agglomeration within urban agglomerations. The paper selects the data of the Beijing–Tianjin–Hebei Urban Agglomeration (BJHUA) and Central Plains Urban Agglomeration (CPUA) from 2002 to 2016 as the research object. The time-varying difference-in-difference (TVDID) model is innovatively applied to analyze the impact of HSR on the agglomeration of secondary and tertiary industries in urban agglomerations, and the industrial agglomeration effects of the two urban agglomerations are compared. The results show that the influence of high-speed railways on the industrial agglomeration of urban agglomerations is heterogeneous. In the BJHUA, the impact of HSR on the agglomeration of secondary and tertiary industries is not particularly significant. On the other hand, in the CPUA, HSR does not have a significant impact on the agglomeration of secondary industry. However, it does have a significant negative effect on the agglomeration of tertiary industry. In addition, further analysis reveals significant variations in the impact of HSR on the agglomeration of industries within urban agglomerations after excluding the central cities. It is important to note that the impact of HSR on regional industries can be complex and multifaceted. The findings enrich the theoretical understanding of the relationship between HSR and industrial agglomeration.
5
Rastvortseva, S. N. "An Overview of Investigations Concerning Agglomerations in Regional Economy". Economy of Region 18, nr 2 (2022): 324–37. http://dx.doi.org/10.17059/ekon.reg.2022-2-2.
Pełny tekst źródłaStreszczenie:
The concentration of organisations in a city or region allows companies to receive benefits without additional costs and increase their productivity. It has been empirically proven that urbanisation and localisation effects of agglomerations contribute to economic growth and development, and therefore should be taken into account in regional and urban policies. The article considers the factors of agglomeration formation, their specific development and impact on the economy of regions and cities. The paper examines studies on the territorial distribution of companies and the population, including creative capital, showing the connection with innovative systems and knowledge capital. The research demonstrates how international trade, market competition, the transport system development and many other factors affect agglomerations. The study of agglomeration processes intersects with other fields of science, such as evolutionary economics, cluster organisation, specialisation and diversification, demography of firms. To cover the topic, works in the field of agglomeration processes were systematised by using time-domain, terminological and geographical analysis, as well by studying definitions and typology, based on data obtained from Google Scholar and Web of Science for 1959–2018. It is revealed that agglomerations are considered in such scientific fields as economics, geography, regional urban planning, urban studies, management and regional studies. The key terms are agglomeration economy (economics), localisation, urbanisation, agglomeration forces, agglomerative and deglomerative factors. These works are geographically distributed, and most of them are conducted in the USA (mainly at the University of California), Great Britain (London School of Economics and Law) and China (Chinese Academy of Sciences and Peking University). The presented research review will serve as a starting point for a more in-depth study of agglomeration processes in various fields of economics.
6
Shi, Qiufang, Xiaoyong Yan, Bin Jia i Ziyou Gao. "Freight Data-Driven Research on Evaluation Indexes for Urban Agglomeration Development Degree". Sustainability 12, nr 11 (4.06.2020): 4589. http://dx.doi.org/10.3390/su12114589.
Pełny tekst źródłaStreszczenie:
A reasonable comprehensive evaluation of the degree of urban agglomeration development is of great significance for its sustainable development. Although there are some studies on the evaluation of urban agglomeration development degree from the overall development level, only a few studies consider internal development equilibrium and internal interaction intensity. This work uses freight trip data as the main empirical data to establish three alternative evaluation indexes named the overall freight intensity, the internal freight intensity equilibrium level, and the internal freight interaction relative intensity to reflect the urban agglomeration’s overall development level, internal equilibrium level, and internal interaction level, respectively. Then, this work weights the above three alternative indexes to comprehensively evaluate the comprehensive development degree of 14 Chinese urban agglomerations. Finally, this work classifies these urban agglomerations into three stages according to the comprehensive evaluation values. The research results could help us to reasonably evaluate the degree of comprehensive development of urban agglomeration.
7
Gladkyj, A. "The peculiarities of delimitation of the territory of Lviv industrial agglomerations". Visnyk of the Lviv University. Series Geography, nr 36 (15.05.2009): 73–80. http://dx.doi.org/10.30970/vgg.2009.36.2962.
Pełny tekst źródłaStreszczenie:
The methodical approaches to delimitation of monocentric industrial agglomerations based on investigation of agglomeration effect of the territory are disclosed. The borders of Lviv industrial agglomeration using above-mentioned model are defined. Key words: delimitation of monocentric industrial agglomerations, agglomeration effect of the terri- tory, Lviv industrial agglomeration.
8
Antonov, E. V., i A. G. Makhrova. "Largest urban agglomerations and super-agglomerations in Russia". Izvestiya Rossiiskoi akademii nauk. Seriya geograficheskaya, nr 4 (28.08.2019): 31–45. http://dx.doi.org/10.31857/s2587-55662019431-45.
Pełny tekst źródłaStreszczenie:
The paper attempts to analyze trends in development of the largest Russian urban agglomerations, which took place after the latest population census during 2010-2018. Research methodology is based on a functional approach engaging transport accessibility isochrones for delimitation of agglomeration cores. Core delimitation along with an analysis of population sizes and development index dynamics was carried out for 36 major agglomerations. The results of these calculations are presented for 4 alternatives: from “minimum” up to “maximum” indicators corresponding with the microzoning network developed by E.E. Leyzerovich. As no changes in number of agglomerations by development classes were unveiled the number of developed agglomerations still remains low. Tendencies of continued population concentration in major agglomerations and their cores are observed. Monocentric attribute of most of the largest agglomerations is shown based on a case study of the Moscow capital agglomeration. The study of the Central Russian megalopolis, which is a higher-level agglomerative structure under the process of formation, revealed its fragmentation and underdevelopment of lower-level agglomerations within.
9
Li, Jiao, Yongsheng Qian, Junwei Zeng, Fan Yin, Leipeng Zhu i Xiaoping Guang. "Research on the Influence of a High-Speed Railway on the Spatial Structure of the Western Urban Agglomeration Based on Fractal Theory—Taking the Chengdu–Chongqing Urban Agglomeration as an Example". Sustainability 12, nr 18 (13.09.2020): 7550. http://dx.doi.org/10.3390/su12187550.
Pełny tekst źródłaStreszczenie:
By shortening the transportation time between cities, high-speed rail shortens the spatial distance between cities and exerts a far-reaching influence on urban agglomerations’ spatial structures. In order to explore the influence of high-speed rail on the spatial reconstruction of an urban agglomeration in western China, this paper employs fractal theory to compare and analyze the spatial structure evolution of the Chengdu–Chongqing urban agglomeration in western China before and after the opening of a high-speed railway. The results show that after the completion of the high-speed railway, the intercity accessibility is improved. The Chengdu–Chongqing urban agglomeration’s spatial distribution shows a decreasing density from the central city to the surrounding areas. Furthermore, the urban system presents a trend of an agglomeration distribution. Therefore, strengthening the construction of high-speed rail channels between primary and medium-sized cities, as well as accelerating the construction of intercity railway networks and rapid transportation systems based on high-speed rail cities, would help develop urban agglomerations in western China.
10
Han, Jing, Ming Gao i Yawen Sun. "Research on the Measurement and Path of Urban Agglomeration Growth Effect". Sustainability 11, nr 19 (21.09.2019): 5179. http://dx.doi.org/10.3390/su11195179.
Pełny tekst źródłaStreszczenie:
This paper employed dynamic generalized method of moment methods to measure the growth effect of 202 prefecture-level cities covered by 14 national urban agglomerations in China from 2007 to 2016. Based on this, this paper further explored the main factors affecting the growth of urban agglomeration and the path to achieving sustainable growth from the aspects of system, technology, structure, and influencing factors, and used the dynamic panel data (DPD) model and threshold panel data to empirically test the growth effect of urban agglomerations. The empirical results showed the following. (1) From the perspective of influencing factors, the improvement of technology and the increase in technology expenditure had a good growth effect on urban agglomeration, and this growth effect became more and more significant as the economic development level within the urban agglomeration narrowed; moreover, the increase of the agglomeration degree could alleviate the negative externality caused by the expansion of the urban scale and produce the dispersion effect to relieve the pressure of urban agglomeration. (2) From the results of the growth effect of urban agglomerations, the growth effect of multi-core urban agglomerations was more significant than that of single-core and dual-core urban agglomerations, and technology, agglomeration degree, foreign direct investment and human capital all significantly promoted the growth of urban agglomerations. Compared with trans-provincial urban agglomerations, provincial urban agglomerations have less resistance due to administrative jurisdiction, and the growth effect was obvious. (3) From the perspective of regional differences, the growth momentum of urban agglomerations in the eastern region was significantly stronger than that in the central and western regions, and the growth effect of agglomeration degree, technology, and human capital on urban agglomeration were all stronger than that in the central and western regions. Considering that the spatial distance between the edge cities and the central cities of the urban agglomeration will have an important impact on the overall growth of the urban agglomeration, this paper then used the panel threshold method to deeply discuss the influence mechanism and path dependence of the agglomeration degree on the growth of urban agglomerations. The results showed that within a certain spatial scale, a higher agglomeration degree of an urban agglomeration creates a stronger radiation effect of the core city and more obvious growth momentum of the urban agglomeration. In the future development of urban agglomerations, it is necessary to clarify the functions of the core city, vigorously develop new technologies, strengthen the construction of the core city as well as maximize its radiation and driving effect on the surrounding cities. Meanwhile, the government should improve transportation, increase the construction of urban expressways and railways, strengthen the connection between cities, strengthen regional integration and cooperation, and give play to the role of human capital in promoting growth to achieve the stable and continuous growth of urban agglomerations.
11
Avarskii, Nabi D., i Anton V. Alpatov. "Fundamentals of the formation and management of agglomerations in rural areas of Russia". Economy of agricultural and processing enterprises, nr 3 (2024): 10–18. http://dx.doi.org/10.31442/0235-2494-2024-0-3-10-18.
Pełny tekst źródłaStreszczenie:
The article focuses on the basics of the formation and management of agglomerations in rural areas of Russia. The author’s formulation of the concept of «agglomeration in rural areas» is given. Criteria have been identified for the purpose of determining agglomerations in rural areas, the main of which include the population, the presence of a center or core of the agglomeration, the infrastructural community of municipalities in the agglomeration, the presence of agricultural production in the agglomeration, the presence of sufficiently dense buildings. Based on the criteria presented, the classification of agglomerations in rural areas is given. A model of the mechanism for managing the functioning and development of agglomerations in rural areas is presented. The main aspects of the implementation of the mechanism for managing the functioning and development of agglomerations in rural areas are substantiated, and a logical and graphical model of the phased implementation of the agglomeration management system in rural areas is presented.
12
Харитонов, Алексей Викторович, Николай Сергеевич Бондарев i Галина Сергеевна Бондарева. "RESEARCH OF AGGLOMERATION PROCESSES IN RURAL AREAS". Вестник Тверского государственного университета. Серия: Экономика и управление, nr 2(54) (25.06.2021): 37–48. http://dx.doi.org/10.26456/2219-1453/2021.2.037-048.
Pełny tekst źródłaStreszczenie:
Современная интенсивная трансформация в обществе требует пристального внимания к изучению процессов функционирования экономики и социальной сферы к сельским территориям, включая сельские агломерации. Тема городских агломераций является достаточно традиционной, тогда как исследований по тематике сельских агломераций в научной литературе сравнительно мало. Целью статьи является исследование процессов агломерирования и возникающих при этом изменений в экономике и социальной сфере. В задачи исследования входило: оценить степень значимости для формирования Ленинск-Кузнецкой сельской агломерации различных условий и особенностей экономики и социальной сферы, выявить, какие из условий способствуют усилению агломерационных связей; определить интенсивность различных видов связей между муниципальными образованиями, входящими в состав сельской агломерации; выяснить степень влияния различных барьеров, препятствующих процессам агломерирования; определить важность формирования агломерации для развития экономики и социальной сферы сельской территории; выявить возможные формы управления сельской агломерацией; оценить последствия процессов агломерирования для муниципальных образований, входящих в состав сельской агломерации. Вместе с тем существующие наработки требуют адаптации к условиям и специфике конкретного региона - Кемеровской области-Кузбасса. Modern intensive transformation in society requires close attention in the study of the processes of functioning of the economy and social sphere of rural areas, including rural agglomerations. The topic of urban agglomerations is quite traditional, while there are relatively few studies on the topic of rural agglomerations in the scientific literature. The purpose of this article is to study the processes of agglomeration and the resulting changes in the economy and social sphere. Objectives of the study are: to assess the degree of importance for the formation of Leninsk-Kuznetsky rural agglomeration of various conditions and characteristics of the economy and social sphere, to identify which of these conditions contributed to the increasing sintering relations; to determine the intensity of different types of relations between the municipalities forming part of a rural agglomerations; find out the degree of influence of different barriers to the process of agglomerating; to determine the importance of agglomeration for the development of the economy and social sphere of rural areas; to identify possible forms of management of rural agglomeration; to assess the consequences of agglomeration processes for municipalities that are part of the rural agglomeration. At the same time, the existing developments require adaptation to the conditions and specifics of a particular region - the Kemerovo region-Kuzbass.
13
Garnov, Andrey, V. Himochka, I. Goloschapova i D. Robec. "Methodology for Estimation and Calculation of the Level of Development of Urban Agglomerations (on Materials of Barnaul Agglomeration)". Scientific Research and Development. Economics of the Firm 9, nr 2 (25.06.2020): 51–58. http://dx.doi.org/10.12737/2306-627x-2020-51-58.
Pełny tekst źródłaStreszczenie:
Purpose: Development of a methodology for assessing the development of urban agglomerations and calculating the level of their development.
Discussion: The article presents the theoretical, methodological and practical aspects of the diagnosis of the regional economic area, explores the existing methodological and methodological approaches to assess the development of urban agglomerations. The development of the territory is assessed by indicators of the population settlement system and transport accessibility of the satellite zone to the core of the agglomeration. But since the object of our study is agglomeration formed in a territory with a diverse economic structure and a complex spatial and demographic characteristic, the above set of indicators for assessing the level of development is not enough.
Results: A technique is proposed that determines the sequence of actions in the formation of urban agglomerations. The level of development of the urban agglomeration is analyzed. Indicators are proposed for assessing the level of agglomeration development, which were applied on the materials of the Barnaul agglomeration. In the subregion we are considering, the urbanized type of territorial and economic structure dominates. However, the inclusion of rural municipalities in the agglomeration changes the type of urban agglomeration to industrial-agriculture agglomeration.
14
Antonyuk, Valentina S., i Daria S. Benz. "The Largest Urban Agglomerations of the Ural Federal District: Comparative Analysis". Bulletin of Chelyabinsk State University 482, nr 12 (14.02.2024): 31–43. http://dx.doi.org/10.47475/1994-2796-2023-482-12-31-43.
Pełny tekst źródłaStreszczenie:
The article is devoted to the study of urban agglomeration processes in the territory of the Ural Federal District. The purpose of the article is to assess the development of the largest urban agglomerations of the Ural Federal District. The authors included in the sample three urban agglomerations, the core of which are the capital centers of the constituent entities of the Russian Federation located in the Urals: Yekaterinburg, Chelyabinsk and Tyumen urban agglomerations. The research methods are fundamental research methods (abstraction and generalization, systematic approach, structural and functional method, comparative analysis method, etc.), as well as technical analysis methods (classical analysis, indicator method, etc.). The authors rely on statistics provided by Rosstat, official sites of the administrations of the regions and cities under study, as well as Yandex maps. The most developed from an agglomeration point of view is the Yekaterinburg urban agglomeration, followed by the Chelyabinsk agglomeration, and, finally, the Tyumen agglomeration is in third place. In general, the analysis of urban agglomeration processes demonstrated that the latter are very unevenly developed in the territory of the Ural Federal District, which indicates an insufficient connection between the space adjacent to the border between Europe and Asia. The calculation of indicators showed a «problem field» of agglomeration processes characteristic of the Ural Federal District space: for the Yekaterinburg agglomeration there is a significant spread in the population of a large city and small settlements in terms of population, which indicates uneven resettlement; in the Chelyabinsk region — a decrease in population growth of the entire agglomeration; in the Tyumen agglomeration — a low value of the centralization coefficient of the «core» of the agglomeration, the agglomeration coefficient, the agglomeration index, the population development index. The authors made recommendations for the authorities of the macroregion aimed at strengthening the space occupying a middle position on the Eurasian continent.
15
Lisina, Natal'ya, Aleksandra Ushakova i Viacheslav Baev. "Legislative Basis for the Development of Agglomerations in the Kemerovo Region (Kuzbass)". Bulletin of Kemerovo State University. Series: Humanities and Social Sciences 2023, nr 2 (4.07.2023): 214–23. http://dx.doi.org/10.21603/2542-1840-2023-7-2-214-223.
Pełny tekst źródłaStreszczenie:
The article describes the legal foundations behind the development of agglomerations in Kuzbass based on the local law and the best practices in other regions. A balanced socio-economic and ecological development of agglomerations depends on the legal status of agglomeration and the legal actions necessary to obtain this status. An effective management of agglomeration processes requires special management bodies. The Kemerovo Region is relatively new to agglomeration development. The success of agglomeration processes largely depends on the quality of the regional regulatory laws since no proper legal regulation exists at the federal level. According to the regional Law on the Development of Agglomerations in the Kemerovo Region, urban agglomerations are a new type of special territorial units with special management goals and objectives. The best practice analysis resulted in a number of proposals aimed at improving the legal regulation of agglomeration processes in the Kemerovo Region. The regional law needs strategies and concepts of urban development, inter-municipal cooperation agreements, and a Coordinating Council to unify documentation on territorial planning and urban zoning.
16
Yusupova, Irina, i Lyudmila Golitsyna. "The Development of Agglomerations is a Key Direction of the Social and Economic Development Strategy of the Republic of Tatarstan". Regionalnaya ekonomika. Yug Rossii, nr 2 (sierpień 2021): 50–57. http://dx.doi.org/10.15688/re.volsu.2021.2.6.
Pełny tekst źródłaStreszczenie:
The current economic situation makes the issue of the urban agglomerations appearance and development crucial. Global experience shows that urban agglomeration is a rational form of territorial use. Through this process the creation of a unified social, economic and investment space takes place. The goal of agglomeration in the 21st century is to establish the basis for the development of large cities as the best form of people settlement. The development of a locality within an urban agglomeration should give it significant advantages. In most cases, the agglomeration process can produce a significant social and economic effect, as well as provide an opportunity to improve the quality and standard of living of the population. In world practice, agglomeration processes have an extensive system of support from the state, and currently there are trends towards the consolidation of individual agglomerations into superagglomerations or megacities. A distinctive feature of agglomeration is the presence of economic interaction between its system-forming elements, characterized by their interconnectedness and features, such as the presence of a large city, which is the center of agglomeration (center of attraction), intensive travel within the agglomeration, as well as industrial and technological cooperation within the agglomeration. In the Republic of Tatarstan the importance of agglomeration development is well understood: the key direction of the implementation of the Strategy of social and economic development of the Republic of Tatarstan up to 2030, approved in 2015, is the development of agglomerations (Kazan, Kama and Almetyevsk). The lack of unified approaches to the management of agglomeration processes is a limiting factor in the integrated development of territories, which leads to an imbalance in plans for housing construction, job supply and provision of transport and social infrastructure facilities. The purpose of this article is to identify these approaches.
17
Gnatyuk, G. A., Z. F. Degteva i V. Y. Кuzin. "More on formation of the Yakutsk urban agglomeration". Vestnik of North-Eastern Federal University Series "Earth Sciences", nr 3 (21.09.2023): 65–72. http://dx.doi.org/10.25587/svfu.2023.31.3.008.
Pełny tekst źródłaStreszczenie:
The 20th century urbanization development processes led to the transition from local urban forms to area formations or agglomerations. They became the prime engine of social and economic development. This is also true for Russia: throughout its history, cities have been the centres of its spatial organization. The transition to market economy has actualized the problems of agglomerations research in Russia: they are the basis for the formation of regional and national competitiveness. At this time, a number of agglomerations has been studied in bits and pieces or scarcely researched. One of such agglomerations is the city of Yakutsk, forming the largest agglomeration in the north-east of the country. The study of agglomeration development of Yakutsk is relevant for a number of reasons: as the center of the largest region, it is inextricably linked with it in its development, forming both opportunities and problems, and at the same time it is located in difficult natural and climatic conditions on the territory of perennially frozen rocks. This article is dedicated to history of the agglomeration formation, its specific and essential features. The theoretical and methodological background of the urban agglomeration formation and functioning as a specific spatial structure including the main factors of growth and development of agglomeration firstly were considered. The article noted that a range of issues about the Yakutsk agglomeration have not yet been studied despite their expressed relevance: the agglomeration structuring, allocation of different functional zones; processes of formation and development of the city structure; positive and negative sides of the urban agglomeration development; the issue of boundary delineation and selection of methods for this operation.
18
Azhaman, Iryna, Olha Kambur, Anastasiia Pandas, Nataliia Petryshchenko i Nataliia Serohina. "Features of urban agglomerations formation in the system of the Black Sea region". SHS Web of Conferences 92 (2021): 07005. http://dx.doi.org/10.1051/shsconf/20219207005.
Pełny tekst źródłaStreszczenie:
Research background: The structure of the urban agglomeration is quite dynamic and requires comprehensive consideration and research. Despite the initial stage - formation, urban agglomerations in the system of the Black Sea region have the characteristics of developed systems. The paper evaluates the starting position of urban agglomerations of the Black Sea region, based on the coefficient of development, coefficient and index of agglomeration. Emphasis is placed on the consideration of urban agglomerations in the context of the recreational component. The vector of development changes from the central areas to the suburban area with the active transformation of the spatial structure. A system of integrated territorial development of urban agglomerations is needed, taking into account their specific spatial components. Purpose of the article: Research of modern processes that form urban agglomerations. Study of positive and negative effects of agglomeration. Identification of the main factors influencing the agglomeration process of the Black Sea region. Methods: The following methods were used to solve the problems: analysis, synthesis, systematization, comparison, rating. Findings & Value added: Development of urban agglomerations of the Black Sea region is planning and coordination of further sustainable development of agglomeration space, including development of plan for construction, planning and coordination of infrastructure construction, search for funding sources. This will intensified investment, give impetus to the development infrastructure, economic environment and recreational component.
19
Zhang, Mingdou, Weilu Li, Rui Zhang i Xia Yang. "How do manufacturing and producer service agglomerations affect urban innovation differently? Empirical evidence from China". PLOS ONE 17, nr 10 (12.10.2022): e0275616. http://dx.doi.org/10.1371/journal.pone.0275616.
Pełny tekst źródłaStreszczenie:
Despite the growing body of literature on the influence of industrial agglomeration on urban innovation, no consensus has been reached on the mechanism of the spillover effect. This empirical study exploits heterogeneity in spillover effects between manufacturing and producer service agglomerations on urban innovation based on a sample of 262 prefecture-level cities in China. We find some intriguing and new findings: (1) The threshold effect can be identified for the spillover effect of manufacturing agglomeration but not for that of producer service agglomeration. (2) Manufacturing and producer service agglomerations have opposite decomposition indirect effect. (3) The spatial spillover effect of industrial agglomeration can be restrained by absorptive capacity of nearby cities. This study not only provides empirical evidence for the reconciliation of the debate on the effect of manufacturing and producer service agglomeration, but also has important policy implication for reconsidering the role of industrial agglomeration in urban innovation.
20
Su, Zhaoxian, Yang Yang, Yun Wang, Pan Zhang i Xin Luo. "Study on Spatiotemporal Evolution Features and Affecting Factors of Collaborative Governance of Pollution Reduction and Carbon Abatement in Urban Agglomerations of the Yellow River Basin". International Journal of Environmental Research and Public Health 20, nr 5 (23.02.2023): 3994. http://dx.doi.org/10.3390/ijerph20053994.
Pełny tekst źródłaStreszczenie:
Exploring spatiotemporal evolution features and factors affecting pollution reduction and carbon abatement on the urban agglomeration scale is helpful to better understand the interaction between ecological environment and economic development in urban agglomerations. In this study, we constructed an evaluation index system for collaborative governance of pollution reduction and carbon abatement in urban agglomerations. In addition, we employed the correlation coefficient matrix, the composite system synergy model, the Gini coefficient, and the Theil index to evaluate the level of and regional differences in collaborative governance of pollution reduction and carbon abatement in seven urban agglomerations in the Yellow River Basin from 2006 to 2020. Moreover, we explored the factors affecting collaborative governance of pollution reduction and carbon abatement in urban agglomerations in the basin. The following findings were obtained: (1) the order degree of collaborative governance of pollution reduction and carbon abatement in the seven urban agglomerations exhibited a significant growing trend, representing a spatial evolution feature of “high in the west and low in the east”; (2) the internal differences in collaborative governance synergy of pollution reduction and carbon abatement decreased in Lanzhou–Xining Urban Agglomeration, Hohhot–Baotou–Ordos–Yulin Urban Agglomeration, Central Shanxi Urban Agglomeration, Zhongyuan Urban Agglomeration, and Shandong Peninsula Urban Agglomeration, while the internal differences basically remained stable in Guanzhong Urban Agglomeration and the Urban Agglomeration along the Yellow River in Ningxia; (3) the variances in environmental regulation and industrial structure among urban agglomerations had a significant positive effect on collaborative governance of pollution reduction and carbon abatement in urban agglomerations in the basin, and the variances in economic growth had a significant inhibitory effect. In addition, the variances in energy consumption, greening construction, and opening-up had an inhibitory impact on collaborative governance of pollution reduction, but the impact was not significant. Finally, this study proposes various recommendations to improve collaborative governance for pollution reduction and carbon abatement in urban agglomerations in the basin in terms of promoting industrial structure upgrading, strengthening regional cooperation, and reducing regional differences. This paper represents an empirical reference for formulating differentiated collaborative governance strategies for pollution reduction and carbon abatement, comprehensive green and low-carbon economic and social transformation programs, and high-quality green development paths in urban agglomerations, which is of certain theoretical and practical significance.
21
Zhang, Bin, Jian Yin, Hongtao Jiang i Yuanhong Qiu. "Application of Social Network Analysis in the Economic Connection of Urban Agglomerations Based on Nighttime Lights Remote Sensing: A Case Study in the New Western Land-Sea Corridor, China". ISPRS International Journal of Geo-Information 11, nr 10 (17.10.2022): 522. http://dx.doi.org/10.3390/ijgi11100522.
Pełny tekst źródłaStreszczenie:
Nighttime lights remote sensing has a significant advantage in exploring the economic development of cities. Based on nighttime lighting data, this study employed spatial direction analysis, exploratory spatial data analysis, and social network analysis to explore the spatial characteristics of economic development and analyzed the economic connection network structures within urban agglomerations in the New Western Land-sea Corridor (NWLSC) in western China. The results show that the spatial pattern of the Tianshan North slope urban agglomeration, Guanzhong Plain urban agglomeration, and Lanzhou–Xining urban agglomeration shrank, while other urban agglomerations expanded. The city economy of the Chengdu–Chongqing urban agglomeration (CCUA) and the Beibu Gulf urban agglomeration varied dramatically according to a LISA space-time transition analysis, which indicates a strong spatial dependence between cities in the local space. Within urban agglomerations, the economic connection between cities increased significantly, and central cities were at the core of the network and significantly influenced other cities. Among the urban agglomerations, economic connections among neighboring urban agglomerations in geographic space increased during the study period. The CCUA gradually developed into the center of the economic network in the NWLSC. Network density positively influenced economic connections. The degree centrality, closeness centrality, and betweenness centrality significantly enhanced the economic connections between city agglomerations. The study’s conclusions and methods can serve as the policy support for the cooperative development of urban agglomerations in NWLSC serve as a guideline for the development of other economically underdeveloped regions in the world.
22
Lin, Xiaoyan, Peng Wang i Min Liu. "Micro-pathways to Technology Spillover in Industrial Agglomerations: Evidence from Manufacturing Enterprises in Guangdong Province". China: An International Journal 22, nr 1 (luty 2024): 111–37. http://dx.doi.org/10.56159/chn.2024.a920960.
Pełny tekst źródłaStreszczenie:
Abstract: Under the "new normal" economy, the driving force of industrial agglomeration has gradually shifted from factor- and investment-driven to innovation-driven economic growth. This article uses the local and global industrial clustering indices based on the density accumulation function to measure overall industrial agglomeration. The authors then adopt the system GMM (generalised method of moments) model to analyse the technology spillover effect of industrial agglomeration. Findings have identified three pathways of technology spillover: spatial agglomeration, specialisation spillover and technological networks. Enterprises at the centre of industrial agglomerations have stronger technological innovation capabilities. Specialisation agglomeration has a significantly positive impact on technological innovation. Technology cooperation networks have a significantly positive impact on improving technological innovation and thus form an important pathway for technology spillover in industrial agglomerations.
23
Rakhimbaev, Akmal. "ASSESSMENT OF IMPACT OF INDUSTRIAL AGGLOMERATIONS ON LOCAL ECONOMIC GROWTH". Economics and education 24, nr 4 (5.09.2023): 389–94. http://dx.doi.org/10.55439/eced/vol24_iss4/a63.
Pełny tekst źródłaStreszczenie:
The article examines the scientific theories on the assessment of the impact of industrial agglomeration on the socio-economic development of regions, as well as the mechanisms of formation and development of industrial agglomerations. Based on the Cobb-Douglas production function, a method for assessing the impact of industrial agglomeration on regional economic growth is proposed. Based on the proposed method, the impact of industrial agglomerations on regional development in the regions of the Republic of Uzbekistan was determined based on the static agglomeration index. According to the results, it was determined that the development of industrial agglomerations has different positive and negative effects on economic growth in regions.
24
Kozhevnikov, Sergei A. "Agglomeration Processes in the European North of Russia: Experience of the Vologda Region". REGIONOLOGY 26, nr 4 (28.12.2018): 718–41. http://dx.doi.org/10.15507/2413-1407.105.026.201804.718-741.
Pełny tekst źródłaStreszczenie:
Introduction. The processes of urbanization are a global trend and lead to the formation and further development of agglomerations as new forms of effective organization of urban and rural areas connected with each other by long-standing links. The specifics of the modern stage are the development of agglomeration processes in the territories the cores of which are large and medium-sized cities. However, the features of the integration processes in such agglomerations have not been studied fully, which makes this study relevant. The purpose of the paper is to analyze the peculiarities of the development of agglomerations in the regions of the European North of Russia, the cores of which are large cities, and to make the case for a range of activities for managing these processes. Materials and Methods. The object of the research was the emerging monocentric Vologda agglomeration. To study the features, problems and prospects of its formation, an analysis of key trends and patterns of the development of these territories was performed; sociological research was conducted among residents and the heads of municipalities regarding the features, problems and prospects for the formation of integration links. Results. It has been proved that the Vologda agglomeration belongs to the category of monocentric, least developed and emerging ones, but it meets all the criteria for delimitation of agglomerations. The presence of close industrial, cooperative, cultural, recreational and other links of intra-agglomeration territories was revealed. The hypothesis has been confirmed that the strength of agglomeration processes directly depends on the size of the core; large and medium-sized cities do not have such agglomeration potential as million-plus cities. A range of activities for the management of these agglomeration processes has been substantiated. Discussion and Conclusion. Although the agglomeration processes in the Vologda Region are objective, the identified links are still developing. Further research may focus on the development of the strategy and program for the development of the Vologda agglomeration.
25
Zhong, Yanfen, Yuqi Chen i Jiawei Qiu. "Study on the Spatial Structure of the Complex Network of Population Migration in the Poyang Lake Urban Agglomeration". Sustainability 15, nr 20 (12.10.2023): 14789. http://dx.doi.org/10.3390/su152014789.
Pełny tekst źródłaStreszczenie:
Population constitutes the foundational element of cities, and population migration drives the transfer of production factors among urban areas. The population migration network serves as an objective representation of intercity interactions, bearing great significance for the analysis of urban network spatial structure. This study focuses on the 10 core cities within the Poyang Lake urban agglomeration. It utilizes population migration data from Tencent’s location-based big data spanning from 2015 to 2018. Employing the point-axis theory from spatial network theory and the directed weighted network theory within the complex network, the study establishes a comprehensive set of network indices and a network model for spatial structure. It investigates the dynamics of population migration networks within the urban agglomeration and considers strategies for enhancing, regulating, or guiding urban agglomeration development to strengthen its overall vitality. The findings indicate that the urban agglomeration displays distinct characteristics of an urban hierarchical sequence and demonstrates gradual improvement in its spatial network development. While network density remains relatively stable across various threshold intervals over an extended period, network connectivity remains weak. Moreover, the urban agglomeration exhibits the lowest degree of centralization, the highest network structure entropy, and limited network connectivity. Migration along the primary power axis within the urban agglomeration remains relatively stable, while the internal network of the urban agglomeration is interconnected through a “core-non-core” network, reflecting near-geographical connection characteristics. Variations in spatial structure are observed, with the spatial network structure following two modes: “weak core city + edge city” and “node city + outer network city”. The trend in network connections diversifies, resulting in both “core-edge” connections and cross-regional connections. In conclusion, the network characteristics of the urban agglomeration surrounding Poyang Lake are consolidated to aid in formulating an optimization plan for the urban agglomeration’s spatial structure. Additionally, these findings serve as a reference for studying the evolution of spatial structures in the other two urban agglomerations within the city agglomeration in the middle reaches of the Yangtze River.
26
Zhabynets, Olha Yo, i Oleh O. Sukhyi. "The Industrial Parks of the Lviv Agglomeration: Status, Experience, Prospects". Business Inform 5, nr 556 (2024): 97–103. http://dx.doi.org/10.32983/2222-4459-2024-5-97-103.
Pełny tekst źródłaStreszczenie:
The article is devoted to the study of the status and prospects for the development of industrial parks in the Lviv agglomeration, as well as the analysis of foreign experience in the functioning of industrial parks in agglomerations. The relevance of measures to implement the State Strategy for Regional Development for 2021–2027 regarding the support of territories such as agglomerations is argued, this is evidenced by the institutional arrangement of the Lviv agglomeration even in times of war. It is noted that when creating a modern model of reindustrialization in Ukraine with a focus on exports and in general an innovative ecosystem of agglomerations, the creation and development of industrial parks as modern concentrators of the industrial, investment and research potential of the agglomeration will be of paramount importance. Emphasis is placed on the advantages of the functioning of industrial parks within the agglomeration, in particular through: achieving synergy for the growth of economic development of the agglomeration; direct impact on the provision of humanitarian, environmental, security and spatial organization of the agglomeration; creation of the effect of increasing returns due to the effective combination of production and infrastructure, high technologies, research and development sphere. It is proved that the industrial parks of the Lviv agglomeration today are the least developed form of the innovation ecosystem of the agglomeration, the potential of which, unlike clusters or export enterprises of the agglomeration, has not yet been used at all. It is concluded that the institutional component of the development of industrial parks in Ukraine, and in particular within the Lviv agglomeration, should become a priority in the implementation of the State regional policy and strategies for the development of individual territorial communities in the near future. After all, foreign experience proves the close interweaving of urban agglomeration and its industrial parks, whose activities in Ukraine, even with the current institutional design, open up a promising environmentally oriented direction for them.
27
Li, Shichao, i Deyou Meng. "Characteristics of the Evolution of China’s Regional Economic Differences Based on the Perspective of Urban Agglomerations". Research in Economics and Management 8, nr 3 (16.09.2023): p130. http://dx.doi.org/10.22158/rem.v8n3p130.
Pełny tekst źródłaStreszczenie:
Urban agglomerations are becoming an important spatial carrier for China’s industrialisation and new-type urbanisation, and an important engine to drive the national economic development, and regional economic differences based on urban agglomerations have also become a new feature of China’s regional differences in the new period. Based on the urban agglomeration perspective, we quantitatively measure China’s regional economic differences from 2001 to 2020 through the two-stage nested decomposition method of the Theil Index, and analyse the evolutionary characteristics of the economic differences within the 19 urban agglomerations in the country by decomposing them into four major regions: East, Central, West and Northeast, and the differences between the urban agglomerations within the regions and the economic differences within the urban agglomerations. The study found that: (1) Overall the overall differences of the region with urban agglomerations as the core were gradually shrinking. In terms of the trend of changes in the differences at all levels, the economic differences between regions and within urban agglomerations were significantly reduced, and the changes in the economic differences between urban agglomerations were not obvious. In terms of contribution rate, the contribution rate of intra-urban agglomeration differences had always remained at a high level, reaching about half of the overall economic differences in the country, and was the primary contributing factor to the overall economic differences. (2) In terms of absolute differences, the economic differences among urban agglomerations in the four regions showed a clear pattern of “East > West > Central ≈ Northeast”. (3) The intra-cluster economic differences of each urban agglomeration in 20 years were at different levels and showed a differentiated trend of evolution, and the areas with relatively more prominent intra-cluster economic differences were the Pearl River Delta urban agglomeration in the east, and the Lan-xi urban agglomeration and the North Slope of Tianshan Mountain urban agglomeration in the northwestern region. The economic differences of urban agglomerations are the result of a variety of factors, and the reasons for the formation of regional economic differences are analysed from the factors of economic location, national regional development policies, human resource factors and high-speed traffic differences within the urban agglomerations.
28
SUN, Xuan. "Multi-indicator Evaluation and Analysis of Coordinated Industrial Development of Urban Agglomerations". Chinese Journal of Urban and Environmental Studies 05, nr 01 (marzec 2017): 1750006. http://dx.doi.org/10.1142/s2345748117500063.
Pełny tekst źródłaStreszczenie:
The level of coordinated industrial development in a region is considered as an important factor of measuring the construction of urban agglomerations. As the economic development patterns and stages vary in regions, a single-standard evaluation system is generally insufficient in evaluating and analyzing the coordinated industrial development of urban agglomerations. This paper, with multivariate values and diversified development demands considered, quantitatively describes the industrial development of urban agglomerations from four dimensions: economics, specialization, balance, and friendliness. On this basis, it synthesizes the indicator parameters effectively and proposes a multi-indicator evaluation model. Through the model, the paper comparatively analyzes the present status and development course of coordinated industrial development of typical urban agglomerations (Beijing–Tianjin–Hebei urban agglomeration, the Yangtze River Delta urban agglomeration, and the Pearl River Delta urban agglomeration) in China. The results show that Beijing–Tianjin–Hebei urban agglomeration has the clearest division of industries, but its industrial spillover effect is limited, the industrial structure of small and medium cities is too simple, and the economic gap among cities narrows at a very slow rate. The core cities in the Yangtze River Delta urban agglomeration exert certain driving effect upon the economy of their surrounding areas. However, they hardly give full play to their comparative advantages due to a low level of regional integration and high industrial similarity among cities. Compared with the above two urban agglomerations, the Pearl River Delta urban agglomeration enjoys more reasonable division of industries among cities, significant driving effect of core cities, and higher level of coordinated industrial development as driven by the market economy.
29
ShvetsI, Yu. "SPATIAL-TIME REGULARITIES OF AGLOMERATION DEVELOPMENT". Construction economic and environmental management 77, nr 4 (2021): 107–16. http://dx.doi.org/10.37279/2519-4453-2020-4-107-116.
Pełny tekst źródłaStreszczenie:
Urban development, agglomeration development is a complex, multidimensional process characterized by the diversity of the nature of the study. The development of urban agglomerations arising as a result of the urbanization process is accompanied by stratification in the system of settlements between the center and the periphery of the region. The article analyzes the cause-and-effect relationships of spatio-temporal changes in agglomeration, analyzes the main directions of development, structural changes in agglomeration. The growth of agglomeration development over the past decades has shown that it is important to use a scientific approach for strategic planned sustainable development, effective management and rational planning of urban agglomerations. Today the urban agglomeration is becoming the basis for the socio-economic development of a number of regions. The effectiveness of territorial management is determined by the measure of analysis, the use of patterns of spatial development of settlement systems.
30
Huang, Yan, Xiaoxia Wu i Yong’e Li. "Spatial Pattern Evolution and Influencing Factors on Industrial Agglomeration: Evidence from Pearl River Delta Urban Agglomeration". Journal of Environmental and Public Health 2022 (20.06.2022): 1–16. http://dx.doi.org/10.1155/2022/6477495.
Pełny tekst źródłaStreszczenie:
In order to clarify the spatial pattern and influencing factors on industrial agglomeration in urban agglomerations, based on the data of prefecture-level cities from 2006 to 2018, this paper uses spatial standard deviation ellipse to analyze the spatial pattern evolution of manufacturing, producer services, consumer services, and foreign-invested industries and takes a dynamic spatial Durbin model to empirically test the influencing factors of industrial agglomeration in Pearl River Delta (PRD) urban agglomeration. The main conclusions are as follows: 1) the degree of industrial agglomeration is at a low level and the difference in the industrial agglomeration level between cities is mainly manifested in the service industries; 2) manufacturing and foreign-invested industries have entered the stage of industrial diffusion, and all types of industries show an east (by south)-to-west (by north) pattern, with a trend of expansion to the south and north; 3) the agglomeration level of service industries and foreign-invested industries on the east bank of the Pearl River is higher than that on the west; and 4) from the empirical results, there is a general inertia effect in the industrial agglomeration and a siphon effect in the manufacturing agglomeration. Economic scale, transportation infrastructure, government intervention, opening up, and urban environment can all positively influence the agglomeration in some industries, with the apparent spatial spillover effects of each influencing factor. In addition, from the long-term factors of industrial agglomeration, the coordinated development of urban agglomeration is beneficial to the agglomeration of manufacturing and producer services. The research significance of this paper is that it can practically provide a more comprehensive reference for the impact mechanism of industrial agglomeration in urban agglomerations of China.
31
G. K. Suyendikova, M. О. Ryspekova, R. A. Baizholova i Sh. Niyazbekova. "THE MAIN STAGES OF FORMATION AND DEVELOPMENT OF URBAN AGGLOMERATIONS IN KAZAKHSTAN". Bulletin of Toraighyrov University. Economics series, nr 1,2024 (29.03.2024): 187–99. http://dx.doi.org/10.48081/frrz9540.
Pełny tekst źródłaStreszczenie:
The article studies the main stages of formation and development of urban agglomerations in Kazakhstan. The general scientific dialectical method of cognition allowed to determine the stages of formation of urban agglomerations in general and the factors affecting their economic development. The system approach allowed to consider urban agglomerations as a set of interconnected and interdependent territories with a certain centre, i.e. as systems. The comparative approach enabled identifying common components of urban agglomerations’ development stages. Studies have shown that urban agglomerations are a product of human activity. Urban agglomeration development varies according to the stage of development of a state, territory, national characteristics and other factors. It is a complex process influenced by a variety of factors, including economic, political, social, technological, innovative, cultural, environmental and other factors. Three stages of urban agglomeration development can be distinguished in Kazakhstan. These stages reflect the various regulatory and economic transformations that Kazakhstan’s urban agglomerations have undergone. Keywords: urban agglomeration, specific territory, core, districts, formation, development, urbanization.
32
Wang, Jiahan, Jiaqi Chen, Xiangmei Liu, Wei Wang i Shengnan Min. "Exploring the Spatial and Temporal Characteristics of China’s Four Major Urban Agglomerations in the Luminous Remote Sensing Perspective". Remote Sensing 15, nr 10 (12.05.2023): 2546. http://dx.doi.org/10.3390/rs15102546.
Pełny tekst źródłaStreszczenie:
This study addresses the knowledge gap regarding the spatiotemporal evolution of Chinese urban agglomerations using long time series of luminescence remote sensing data. The evolution of urban agglomerations is of great significance for the future development and planning of cities. Nighttime light data provide a window for observing urban agglomerations’ characteristics on a large spatial scale, but they are affected by temporal discontinuity. To solve this problem, this study proposes a ridge-sampling regression-based Hadamard matrix correction method and constructs consistent long-term nighttime light sequences for China’s four major urban agglomerations from 1992 to 2018. Using the Getis-Ord Gi* hot-cold spot, standard deviation ellipse method, and Baidu search index, we comprehensively analyze the directional evolution of urban agglomerations and the correlations between cities. The results show that, after correction, the correlation coefficient between nighttime light intensity and gross domestic product increased from 0.30 to 0.43. Furthermore, this study identifies unique features of each urban agglomeration. The Yangtze River Delta urban agglomeration achieved balanced development by shifting from coastal to inland areas. The Guangdong-Hong Kong-Macao urban agglomeration developed earlier and grew more slowly in the north due to topographical barriers. The Beijing-Tianjin-Hebei urban agglomeration in the north has Beijing and Tianjin as its core, and the southeastern region has developed rapidly, showing an obvious imbalance in development. The Chengdu-Chongqing urban agglomeration in the inland area has Chengdu and Chongqing as its dual core, and its development has been significantly slower than that of the other three agglomerations due to the influence of topography, but it has great potential. Overall, this study provides a research framework for urban agglomerations based on four major urban agglomerations to explore their spatiotemporal characteristics and offers insights for government urban planning.
33
Zhang, Mingdou, Qingbang Wu, Weilu Li, Dongqi Sun i Fei Huang. "Intensifier of urban economic resilience: Specialized or diversified agglomeration?" PLOS ONE 16, nr 11 (29.11.2021): e0260214. http://dx.doi.org/10.1371/journal.pone.0260214.
Pełny tekst źródłaStreszczenie:
With increased uncertainty and instability worldwide, how to enhance the urban economy resilience effectively has become one main issue for urban economic development. Based on the measurement of the economic resilience of 241 cities at the prefecture level and above in China using the sensitive index method, we scrutinize the impact of industrial specialization agglomeration and diversification agglomeration on urban economic resilience. Results indicate that, during the impact resistance period, industrial diversification agglomeration, especially related industrial diversification agglomeration, can enhance urban economic resilience, whereas industrial specialization agglomeration has no positive effect. In contrast, during the period of recovery and adjustment, industrial specialization agglomeration can improve urban economic resilience, and industrial diversification agglomeration, especially related industrial diversification agglomeration, has no positive effect. Further analysis indicates that, under the interaction of specialization and diversification agglomerations, the effect of industrial agglomeration on urban economic resilience depends on the type of dual industrial agglomeration, showing remarkable heterogeneity. This study may provide useful references for policy makers concerned with urban resilience.
34
Luan, Xinyu, Pengcheng Xiang i Fuyuan Jia. "The Interconnectivity and Spatio-Temporal Evolution of Rail Transit Network Based on Multi-Element Flows: A Case Study of Beijing-Tianjin-Hebei Urban Agglomeration, China". Land 13, nr 2 (18.02.2024): 249. http://dx.doi.org/10.3390/land13020249.
Pełny tekst źródłaStreszczenie:
For intercity transportation within urban agglomerations, rail transit interconnectivity not only stimulates city-to-city interactions but also facilitates the networking of urban spaces. Crucially, comprehending the spatial network of urban agglomerations needs a focus on rail transit interconnectivity. Drawing on the space of flows theory, this study establishes a framework to evaluate rail transit interconnectivity and the spatial structure of urban agglomerations, utilizing the Beijing-Tianjin-Hebei urban agglomeration as a case study. The objective of this study is to explore the impact of rail transit interconnectivity on the spatial structure in the urban agglomeration. Firstly, it establishes a coupled concept of urban quality and line quality to elucidate the interaction between rail transits and urban development. Secondly, it employs the AHP-CRITIC-TOPSIS and modified gravity model to evaluate the interconnectivity degree of rail transits and visualize the network. Thirdly, based on the multi-element flows facilitated by rail transit interconnectivity, the evolution of the spatial structure within the urban agglomeration is quantified using social network analysis. The study findings are as follows: (1) From 2010 to 2021, the interconnectivity degree of rail transit in the Beijing-Tianjin-Hebei urban agglomeration experienced substantial growth, emphasizing the correlation between interconnectivity and the city hierarchy within the urban agglomeration. (2) The interconnectivity degree of the Beijing-Tianjin-Hebei urban agglomeration shows an uneven pattern of “three cores and numerous weak links,” characterized by spatial polarization. (3) Rail transit interconnectivity contributes to shaping the spatial structure of urban agglomerations in terms of interconnectivity, polycentricity, and integration, although the enhancement of polycentricity is limited. The framework developed in this study can be extensively employed to investigate the interplay between rail transit interconnectivity and the spatial structure of urban agglomerations, thereby promoting the sustainability of regional planning.
35
Zhang, Zhongwu, i Yuanfang Liu. "Spatial Expansion and Correlation of Urban Agglomeration in the Yellow River Basin Based on Multi-Source Nighttime Light Data". Sustainability 14, nr 15 (30.07.2022): 9359. http://dx.doi.org/10.3390/su14159359.
Pełny tekst źródłaStreszczenie:
The Chinese government proposed a major national strategy for ecological protection and high-quality development in the Yellow River Basin. The Framework of the Plan for Ecological Protection and High-Quality Development of the Yellow River Basin proposes building a dynamic development pattern characterized by “one axis, two regions and five poles” in the Yellow River Basin with high-quality and high-standard urban agglomerations along the Yellow River. The urban agglomeration is the economic growth pole of the Yellow River Basin and the main carrier of the population and productivity. This study integrates DMSP/OLS (Defense Meteorological Satellite Program/Operational Linescan System) and NPP/VIIRS (Suomi National Polar-Orbiting Partnership/Visible Infrared Imaging Radiometer Suite) night light remote sensing data from 2000 to 2020 and uses methods such as spatial expansion measurement, the center of gravity offset, urban primacy, and the gravity model to study the spatial expansion and correlation characteristics of five urban agglomerations. The results show that: (1) From 2000 to 2020, urban agglomeration in the Yellow River Basin continued to expand, and the area increased by 6.4 times. The total amount of nighttime lights in the city presents a spatial distribution pattern that is high in the east and low in the west. (2) The expansion centers of the five major urban agglomerations all shifted. The centers of gravity of the Shandong Peninsula urban agglomeration, the Jiziwan urban agglomeration of the Yellow River, the Guanzhong Plain urban agglomeration, and the Lanzhou–Xining urban agglomeration all shifted westward, while the center of gravity of the Central Plains urban agglomeration shifted to the southeast. (3) Qingdao, Zhengzhou, Xi’an and Lanzhou are the primate cities of the four urban agglomerations of the Shandong Peninsula, Central Plains, Guanzhong Plain, and Lanzhou–Xining, respectively. The primate city in the Jiziwan urban agglomeration of the Yellow River was changed from Taiyuan to Yinchuan and then to Yulin. (4) The density of the gravitational network of the urban agglomeration in the Yellow River Basin and the distribution of the maximum gravitational line show the spatial differentiation characteristics of being dense in the east and sparse in the west.
36
Zheng, Xueyan, Minghui Zhu, Yan Shi, Hui Pei, Wenbin Nie, Xinge Nan, Xinyi Zhu, Guofu Yang i Zhiyi Bao. "Equity Analysis of the Green Space Allocation in China’s Eight Urban Agglomerations Based on the Theil Index and GeoDetector". Land 12, nr 4 (31.03.2023): 795. http://dx.doi.org/10.3390/land12040795.
Pełny tekst źródłaStreszczenie:
An urban agglomeration is a highly developed spatial area formed by integrated cities. While previous studies have analyzed green space allocation at the provincial and city scales, there is insufficient information on green space allocation in urban agglomerations. For this research, a database of green spaces in eight urban agglomerations (133 cities) in China from 2002 to 2019 was constructed to better understand the equity of green space distribution among land resources. A green space equity index (GEI) was established based on the Theil index and combined with GeoDetector to analyze the differences in urban agglomeration green spaces. The main conclusions are as follows: The sum of the GEI of China’s urban agglomerations has increased significantly, rising from 3.74 in 2002 to 6.34 in 2019. The GEI value for each of the eight urban agglomerations was kept under 0.01. Polarized development has occurred within urban agglomeration cities, and the allocation of green space in megacities is relatively weak, especially in the more economically developed Yangtze River Delta and Guanzhong urban agglomerations. The average temperature, humidity, and precipitation have dominant influences in determining the GEI values. This paper provides a new perspective on the management and allocation of urban agglomeration green spaces.
37
Peng, Huang, Elahi i Wei. "Ecological Environment Vulnerability and Driving Force of Yangtze River Urban Agglomeration". Sustainability 11, nr 23 (23.11.2019): 6623. http://dx.doi.org/10.3390/su11236623.
Pełny tekst źródłaStreszczenie:
The vulnerability of ecological environment threatens social and economic development. Recent studies failed to reveal the driving mechanism behind it, and there is little analysis on the spatial clustering characteristics of the vulnerability of urban agglomerations. Therefore, this article estimates ecological environment vulnerability in 2005, 2011, and 2017, determines Moran Index (MI) with spatial autocorrelation model, analyzes the spatial-temporal difference characteristics of ecological environment vulnerability of Yangtze River Urban Agglomeration and the spatial aggregation effect, and discusses its driving factors. The study results estimate that the overall vulnerability index of the Yangtze River Urban Agglomeration is in a mild fragile state. However, most fragile and slightly fragile cities are developing in the direction of moderate to severe vulnerability. The spatial agglomeration effect of the ecological environment vulnerability of the Yangtze River Urban Agglomeration is not obvious, and the effect of mutual ecological environment influence among cities is not obvious. Moreover, the driving factors of ecological environment vulnerability of Yangtze River city group changed from natural factors to social economic factors and then to policy factors. It is necessary to develop an ecological economy, coordinate the spatial agglomeration of urban agglomerations, and make balance the internal differences of urban agglomerations.
38
Xue, Bowen. "Research on the Coordinated Economic Development of Beijing-Tianjin-Hebei Urban Agglomeration Based on the Measurement of Compactness". Journal of Education, Humanities and Social Sciences 11 (20.04.2023): 407–16. http://dx.doi.org/10.54097/ehss.v11i.7747.
Pełny tekst źródłaStreszczenie:
Urban agglomeration is an important growth pole for China's future economic development. In recent years, the national high level has paid more and more attention to supporting the development of various urban agglomerations in China. As the third-largest urban agglomeration in China, the Beijing-Tianjin-Hebei urban agglomeration is led by Beijing and Tianjin and develops together with 11 prefecture-level cities in Hebei Province. However, the gap between the top two Yangtze River Delta and Pearl River Delta urban agglomerations is still not small. Meanwhile, the gap between different cities within the Beijing-Tianjin-Hebei urban agglomeration has always been considerable, and the coordinated development of each city is less effective than that of the other two urban agglomerations. This paper first calculates the compactness index to obtain the changes in the compactness of the Beijing-Tianjin-Hebei region from 2013 to 2019 and analyzes the development trend of the region in recent years. Among them, the compactness of space is growing rapidly, and the growth rate of industrial compactness and traffic compactness is relatively slow. It is based on identifying the core area of the urban agglomeration based on population density. We put forward ideas on achieving better coordinated regional developments and accelerating integrations.
39
Gataullin, Rinat Fazltdinovich, Aysylu Garifullovna Ataeva i Alsu Garifullovna Ulyaeva. "The prospects of formation of transboundary agglomeration (On the example of Almetyevsk – Oktyabrsky agglomeration)". Урбанистика, nr 3 (marzec 2020): 111–26. http://dx.doi.org/10.7256/2310-8673.2020.3.34015.
Pełny tekst źródłaStreszczenie:
The goal of this article consists in assessment of possibility of existence of transregional agglomeration between the Republic of Tatarstan and the Republic of Bashkortostan based on evaluation of the criteria of composition of agglomeration. The subject of this research is the composition of the oilfield service polycentric small urban agglomeration Oktyabrsky – Tuymazy located on the territory of the Republic of Bashkortostan, as well as the composition of the Almetyevsk polycentric agglomeration located on the territory of the Republic of Tatarstan, which provisionally includes both indicated agglomerations along with other potential zoned of influence of the largest cities of agglomeration – Almetyevsk and Oktyabrsky. The criteria for delimitation contained economic, integration and geographical. The object of this research is the municipal formation of city district level and municipal districts (8 municipal formations on the part of the Republic of Bashkortostan, and 12 municipal formations on the part of the Republic of Tatarstan). The research covers the period from 2014 to 2018. The conclusion is made that the oilfield service polycentric small urban agglomeration Oktyabrsky – Tuymazy and Almetyevsk polycentric agglomeration, which are formalized to one or another degree, do not correspond with the classical approaches towards assessment of agglomerativity, as they do not have a balance between functional roles of the core and the periphery of agglomeration. At the same time the strength of economic gravitation of the municipal formations between the Republic of Tatarstan and the Republic of Bashkortostan leads to the establishment of Almetyevsk – Oktyabrsky polycentric transregional agglomeration, which provisionally includes both of the indicated agglomerations, and which in accordance with the classical parameters for assessing delimitation and agglomeration level can be considered a more developed agglomeration than the initial ones.
40
Pribyshin, Taras K., i Robert A. Gres. "MASTER PLANS FOR AGGLOMERATIONS IN MODERN PRACTICE OF STRATEGIC PLANNING IN RUSSIA". Economy of the North-West: problems and prospects of development 4, nr 71 (grudzień 2022): 76–86. http://dx.doi.org/10.52897/2411-4588-2022-4-76-86.
Pełny tekst źródłaStreszczenie:
Agglomeration master planning is used in many foreign countries: for example, Antananarivo-Toamasina conurbation master plan in Madagascar (the TaToM project). The purpose of the study is to describe the practice of master planning for agglomerations in the Russian Federation, to reveal its geography and key development trends. It has been established that as of June 2022, two agglomeration master plans have been developed in Russia, eight are under development and three more are under discussion. The existence of seven strategies / concepts of (spatial) development was also noted. The period of active development of master plans and changes in naming begins in 2018: more and more often the master plan appears in the titles of documents. The geography of master planning for agglomerations in Russia differs from the geography of large and the largest agglomerations of the country: there are examples of master planning for agglomerations in Kamchatka, Sakhalin, Khanty-Mansiysk Autonomous District and Komi. Master planning of cities and agglomerations in Russia is difficult due to the presence of a number of legal problems, the multivariance of terminology and the lack of clear characteristics of the content of such documents. Master plans may have alternatives in the form of an agglomeration socio-economic development strategy and an agglomeration territorial planning scheme, which are also being developed in different agglomerations of Russia. The format of master planning for agglomerations in Russia has a chance of being widely used in planning practice.
41
Zhang, Shuai, i Hua Wei. "Identification of Urban Agglomeration Spatial Range Based on Social and Remote-Sensing Data—For Evaluating Development Level of Urban Agglomeration". ISPRS International Journal of Geo-Information 11, nr 8 (21.08.2022): 456. http://dx.doi.org/10.3390/ijgi11080456.
Pełny tekst źródłaStreszczenie:
The accurate identification of urban agglomeration spatial area is helpful in understanding the internal spatial relationship under urban expansion and in evaluating the development level of urban agglomeration. Previous studies on the identification of spatial areas often ignore the functional distribution and development of urban agglomerations by only using nighttime light data (NTL). In this study, a new method is firstly proposed to identify the accurate spatial area of urban agglomerations by fusing night light data (NTL) and point of interest data (POI); then an object-oriented method is used by this study to identify the spatial area, finally the identification results obtained by different data are verified. The results show that the accuracy identified by NTL data is 82.90% with the Kappa coefficient of 0.6563, the accuracy identified by POI data is 81.90% with the Kappa coefficient of 0.6441, and the accuracy after data fusion is 90.70%, with the Kappa coefficient of 0.8123. The fusion of these two kinds of data has higher accuracy in identifying the spatial area of urban agglomeration, which can play a more important role in evaluating the development level of urban agglomeration; this study proposes a feasible method and path for urban agglomeration spatial area identification, which is not only helpful to optimize the spatial structure of urban agglomeration, but also to formulate the spatial development policy of urban agglomeration.
42
Ryndina, Alexandra O., i Victoria A. Svishcheva. "Financial aspects of the Saratov agglomeration development". Izvestiya of Saratov University. Economics. Management. Law 23, nr 1 (21.02.2023): 42–47. http://dx.doi.org/10.18500/1994-2540-2023-23-1-42-47.
Pełny tekst źródłaStreszczenie:
Introduction. The issue of financial support for the development of urban agglomerations is one of the most relevant, since the timeliness and completeness of the integration processes financing largely determine the success in achieving the goals of creating agglomerations. Of particular importance is the budgetary and tax integration of local territories included in the single agglomeration space, since the current legislation establishes significant independence of local authorities in the formation of local budgets. Theoretical analysis. The article analyzes the approaches and processes used to include new rural areas in the already established system of urban agglomeration management using the example of the creation of “Greater Saratov” as part of the Saratov urban agglomeration. Legal and economic factors hindering the development of the agglomeration are identified. The features of the unified city budget formation and the budgetary powers of rural administrations as part of the agglomeration are studied. The problems of local taxation differentiation, taking into account the differences between rural and urban areas, are considered. Discussion of results. The study of the rural and urban areas integration features into a single socio-economic system revealed the advantages and problems of creating a unified budgetary and tax system in the agglomeration. The analysis carried out made it possible to substantiate measures for the urban agglomeration development, in terms of improving taxation and the budgetary process on its territory.
43
Siryk, Zinoviy, i Volodymyr Zasadnii. "Theoretical principles of the study of agglomeration factors of the investment attractiveness of communities". Ukrainian Journal of Applied Economics and Technology 9, nr 1 (31.01.2024): 302–9. http://dx.doi.org/10.36887/2415-8453-2024-1-51.
Pełny tekst źródłaStreszczenie:
Understanding the specifics of agglomeration factors is not just an academic exercise, but a crucial step towards forming an attractive investment climate in communities. In the face of globalization and intensified interregional competition, this understanding is paramount. Theoretical comprehension of these processes is not a mere intellectual pursuit, but a necessary tool to identify and analyze the mechanisms through which agglomeration influences investment activity and the economic efficiency of communities. This, in turn, will provide practical recommendations for optimizing management decisions at the local and regional levels of government. The importance of this research is further underscored by the need for local communities to adapt to changing external conditions, identify potential growth points, and form development strategies based on internal innovative resources and agglomeration advantages. The aim of this article is to analyze the theoretical foundations of studying the agglomeration factors of the investment attractiveness of territorial communities, with a clear focus on its practical implications. The article analyzes the theoretical aspects of the interaction between agglomeration phenomena and investment activity, considering the impact of scale, level of concentration, and specialization of production processes on regional economic development. Theoretical approaches to analyzing agglomeration factors are proposed, investigating their impact on economic development and the ability to mobilize investment resources within a specific territorial unit. The development of infrastructure capabilities, initiation of innovative clusters, and support for entrepreneurial activities serve as the main directions for enhancing the investment attractiveness of agglomerations. However, it's important to note that the process of creating urban agglomerations is not a simple task. It's a long-term endeavor that provokes debates and represents a significant level of complexity. It is determined that thanks to the agglomeration effect, regional development becomes more logical, focusing on a variety of economic activities in territories optimal for their implementation. Analyzing the level of development of urban agglomerations allows for a more targeted approach to planning their further development strategies, but it's a task that requires a deep understanding of the complex dynamics at play. Keywords: investment attractiveness, socio-economic development, agglomerations, agglomeration factors, territorial communities.
44
Liu, Guiwen, Kehao Chen, Juan Huang i Xun Deng. "Analysis of the Spatiotemporal Heterogeneity of Housing Prices’ Association in China: An Urban Agglomeration Perspective". Buildings 12, nr 7 (8.07.2022): 972. http://dx.doi.org/10.3390/buildings12070972.
Pełny tekst źródłaStreszczenie:
With the rise of urban agglomerations, regional divergence of China’s real estate market has gradually intensified. City-specialized policies have become the main emphasis for promoting the healthy development of the regional real estate market. By adopting a gravity model, social net-work analysis, and impulse response analysis, this paper examines the spatial-temporal heterogeneity of housing prices’ association in the Beijing-Tianjin-Hebei Urban Agglomeration (BTH-UA), the Yangtze River Delta Urban Agglomeration (YRDUA), and the Pearl River Delta Urban Agglomeration (PRDUA), which are the most developed urban agglomerations in China. Meanwhile, the formation mechanism of the housing prices’ association network and spillover effect in urban agglomeration were theoretically analyzed. This paper found that (1) significant aggregation phenomena of housing prices were observed in the urban agglomerations; (2) characteristics of overall and individual networks were dynamically heterogeneous. In the BTHUA and the PRDUA, the associations of housing prices were polarized and sparse, while they were more linked and complex in the YRDUA; (3) polycentric network structure has been demonstrated in the urban agglomerations and the spillover effects of central cities varied in intensity and breadth on responding cities and persisted during the lag period. Accordingly, several policy recommendations have been made.
45
He, Xiong, Xiaodie Yuan, Dahao Zhang, Rongrong Zhang, Ming Li i Chunshan Zhou. "Delineation of Urban Agglomeration Boundary Based on Multisource Big Data Fusion—A Case Study of Guangdong–Hong Kong–Macao Greater Bay Area (GBA)". Remote Sensing 13, nr 9 (5.05.2021): 1801. http://dx.doi.org/10.3390/rs13091801.
Pełny tekst źródłaStreszczenie:
The accurate delineation of urban agglomeration boundary is conductive to not only the better understanding of the development relationship between cities in urban agglomeration but also to the guidance of regional functions as well as the formulation of regional management policies. At the same time, the fusion of land relations and urban internal relations can greatly improve the accuracy of the delineation of urban agglomeration boundary. Still, for all that, previous studies delineated the boundary only from the perspective of land relations. In this study, firstly, wavelet transform is used to fuse Night-time Light data (NTL), POI (Point of Interest) data and Tencent Migration data, respectively. Then, the image is segmented by multiresolution segmentation to delineate the urban agglomeration boundary of GBA. Finally, the results are verified. The results show that the accuracy of urban agglomeration boundary delineated by NTL data is 85.57%, with the Kappa value as 0.6256, respectively. While, after fusing POI data, the accuracy is 88.97%, with the Kappa value as 0.7011, respectively. What is more, the accuracy of delineating urban agglomeration boundary by continuous fusion of population movement data reaches 93.60%, and that of Kappa value as 0.8155. Therefore, it can be concluded that compared with delineating the boundary of urban agglomeration only based on land relations, the fusion of population movement data of urban agglomerations by wavelet transform strengthens the interconnection between cities in urban agglomeration and contributes to the accurate division of urban agglomeration boundaries. What is more, such accurate delineation not only has important practical value for optimizing the spatial structure of urban agglomerations, but also assists in the formulation of regional management and development planning policies.
46
Wang, Yuming. "Goal orientation and action path of eco city cluster construction". Eco Cities 1, nr 1 (11.03.2020): 16. http://dx.doi.org/10.54517/ec.v1i1.1821.
Pełny tekst źródłaStreszczenie:
<p>Eco urban agglomeration is a highly harmonious compound ecosystem between man and nature, and a highly cooperative regional environmental community among environmental actors. The goal of eco city cluster construction is to optimize the overall function of regional ecosystem, improve the service quality of ecosystem, and form a highly unified urban aggregate of ecological space, ecological environment, ecological economy and ecological society. The action path of eco urban agglomeration construction is to innovate the system and mechanism of regional environmental governance, realize the cooperative governance of urban agglomeration environment, realize the coordination and connection of policy planning, regional environmental legislation cooperation and environmental supervision and management cooperation. Coordinate the management of the ecosystem of urban agglomerations, promote the construction of ecological functional areas of urban agglomerations, optimize the ecological spatial structure of urban agglomerations, and adhere to the ecological red line of urban agglomerations. By planning ecological cities and developing ecological economy, multiple subjects jointly promote the construction of ecological cities in urban agglomerations.</p>
47
Opanasiuk, Yu. "METHODOLOGICAL FUNDAMENTALS OF INVESTMENT EVALUATION ATTRACTIVENESS OF THE CITY RECREATIONAL COMPLEX AGGLOMERATION". Vìsnik Sumsʹkogo deržavnogo unìversitetu, nr 1 (2020): 16–24. http://dx.doi.org/10.21272/1817-9215.2020.1-2.
Pełny tekst źródłaStreszczenie:
The article is devoted to the concept of " investment appeal". The evaluation of attractiveness of recreational facilities in urban areas for investors is considered. The author gives an author's interpretation of the investment appeal of the recreational sector. The investment appeal of the recreational sector is an integral characteristic of the individual objects of recreation and market infrastructure, conditions of activity and risks, which will lead to the achievement of the goals of the investor. The basic methods of estimation of investment appeal are considered in the article. The author concluded that none of them adapted to measure the investment appeal of the recreational areas. In the article the method of evaluating the attractiveness agglomerations for investors by analyzing recreation facilities. The author proposes to evaluate on five general indicators: the level of economic development of the agglomeration, level of investment infrastructure agglomeration, demographic characteristics of agglomeration, level of recreational infrastructure agglomeration, the level of criminogenic, environmental and other risks. Аuthor proposed general indicators calculated on the basis of standardized individual indicators. The algorithm of such evaluation is developed in the article. In the article the analysis of Sumy, Kharkiv, Kyiv, Lviv and Odessa agglomeration was carried out. The author identifies the main factors of attracting investors to agglomerations. Odessa agglomeration has positive factors for the investor: natural resource potential, large tourist flow, the large number of recreational facilities, highly developed financial infrastructure and transport systems, the level of overall agglomeration development. Monitoring the rating of investment will identify factors that impede the development of recreation. It helps us to propose measures increase the investment appeal of the recreational areas. It also allows us to develop programs for socio-economic development of urban agglomerations. Such evaluation may be performed by analysis of the implementation recreational development programs effectiveness.
48
Li, Zhuofan, Xiangmin Zhang, Xiaoyong Liu i Bin Yu. "PM2.5 Pollution in Six Major Chinese Urban Agglomerations: Spatiotemporal Variations, Health Impacts, and the Relationships with Meteorological Conditions". Atmosphere 13, nr 10 (16.10.2022): 1696. http://dx.doi.org/10.3390/atmos13101696.
Pełny tekst źródłaStreszczenie:
To investigate the spatiotemporal patterns of fine particulate matter (PM2.5) under years of control measures in China, a comprehensive analysis including statistical analysis, geographical analysis, and health impact assessment was conducted on millions of hourly PM2.5 concentrations data during the period of 2017–2020 in six typical major urban agglomerations. During the period of 2017–2020, PM2.5 concentrations in the Beijing–Tianjin–Hebei urban agglomeration (BTH-UA), Central Plains urban agglomeration (CP-UA), Yangtze River Delta urban agglomeration (YRD-UA), Triangle of Central China urban agglomeration (TC-UA), Chengdu–Chongqing urban agglomeration (CY-UA), and Pearl River Delta urban agglomeration (PRD-UA) decreased at a rate of 6.69, 5.57, 5.45, 3.85, 4.66, and 4.1 µg/m3/year, respectively. PM2.5 concentration in BTH-UA decreased by 30.5% over four years, with an annual average of 44.6 µg/m3 in 2020. CP-UA showed the lowest reduction ratio (22.1%) among the six regions, making it the most polluted urban agglomeration. In southern BTH-UA, northeastern CP-UA, and northwestern TC-UA, PM2.5 concentrations with high levels formed a high–high agglomeration, indicating pollution caused by source emission in these areas was high and hard to control. Atmospheric temperature, pressure, and wind speed have important influences on PM2.5 concentrations. RH has a positive correlation with PM2.5 concentration in north China but a negative correlation in south China. We estimated that meteorological conditions can explain 16.7–63.9% of the PM2.5 changes in 129 cities, with an average of 33.4%, indicating other factors including anthropogenic emissions dominated the PM2.5 changes. Among the six urban agglomerations, PM2.5 concentrations in the CP-UA were most influenced by the meteorological change. Benefiting from the reduction in PM2.5 concentration, the total respiratory premature mortalities in six regions decreased by 73.1%, from 2017 to 2020. The CP-UA had the highest respiratory premature mortality in six urban agglomerations. We suggested that the CP-UA needs more attention and stricter pollution control measures.
49
Viatkin, K., i A. Kolodeznyi. "FORMATION OF FACTORS INFLUENCING THE DEVELOPMENT OF AGGLOMERATIONS IN THE TERRITORIAL PLANNING SYSTEM: WORLD EXPERIENCE". Municipal economy of cities 6, nr 180 (4.12.2023): 79–83. http://dx.doi.org/10.33042/2522-1809-2023-6-180-79-83.
Pełny tekst źródłaStreszczenie:
The problem of urban construction and development of agglomeration associations is urgent and rapidly growing in the modern world, as cities are becoming key centres of economic, social, and ecological development. Understanding the factors that influence this process is important for sustainable urban planning and development. This study aims to analyse and study the formation of factors influencing the development of agglomeration associations in the system of territorial planning, in particular by researching world experience and analysing relevant literature. The object of the study is the process of development of agglomeration associations, and the subject of the study is the factors that influence this process in the territorial planning system. The methods of literary analysis, statistical data analysis, and comparative analysis were used in this study. The literary analysis made it possible to collect and analyse domestic and foreign sources related to the problem of the development of agglomeration associations. The analysis of statistical data provided an opportunity to confirm and emphasise certain trends in the development of agglomerations. The comparative analysis made it possible to identify differences and common features of the development of agglomerations in different countries. In the course of the study, scientific sources on agglomeration growth and territorial planning were carefully analysed and systematised. A comparative analysis of agglomeration growth in France, Germany, Japan, China, India, and Brazil was conducted, which made it possible to identify common trends and differences. Based on the conducted research, it was established that the development of agglomeration associations is a complex process with various consequences. For the practical implementation of the research results, it is recommended to develop individual approaches to territorial planning and urban development, taking into account the specific factors of each country. It is also important to actively involve the local population in the decision-making process and ensure effective monitoring and control of the sustainable development of agglomeration associations. Keywords: urban construction, territorial planning, town planning, urbanism, development of agglomerations.
50
Liu, Chengliang, Tao Wang i Qingbin Guo. "Factors Aggregating Ability and the Regional Differences among China’s Urban Agglomerations". Sustainability 10, nr 11 (13.11.2018): 4179. http://dx.doi.org/10.3390/su10114179.
Pełny tekst źródłaStreszczenie:
Continuous aggregation of socioeconomic factors is the key issue of sustainable development in urban agglomerations. To date, more attention has been paid to single urban agglomeration than to multiple agglomerations. In this paper, China’s 19 urban agglomerations were selected as the case study and their spatial differences in factors aggregating ability were portrayed comparatively. Firstly, the spatial pattern of urban factors aggregating ability is relatively well distributed in all China’s cases, most noticeably in the Yangtze River Delta urban agglomeration, closely followed by the Beijing-Tianjin-Hebei and the Pearl River Delta urban agglomerations. However, more significant differences on factors aggregating ability are noticeably seen between cities than among urban agglomerations. Meanwhile, the rank-size structure distribution of factors aggregating ability in China’s 19 cases is in line with the Zipf’s law of their urban systems, and divided into three types: Optimized, balanced, and discrete. Furthermore, the urban factors aggregation ability in one urban agglomeration is roughly negatively correlated with its primacy ratio of factors aggregating ability distribution. Lastly, urban agglomerations with higher average values of factors aggregating ability are concentrated on the three major urban agglomerations: The Yangtze River Delta, the Beijing-Tianjin-Hebei and the Pearl River Delta. Otherwise, high-high clusters in the three urban agglomerations are distinctly observed as well.