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Artykuły w czasopismach na temat "Agglomeration"

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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.

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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.
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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.

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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.
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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.

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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.
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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.

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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.
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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.

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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.
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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.

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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.
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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.

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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.
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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.

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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.
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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.

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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.
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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.

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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.
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Rozprawy doktorskie na temat "Agglomeration"

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Forrest, S. "Agglomeration and flow transitions". Thesis, University of Cambridge, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.599122.

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In agglomeration using liquid binders, powders are agitated in the presence of liquid to form structured products but the detailed flow fields during processing have not been investigated. Systematic experiments have been performed in a mechanical mixer (diameter 250mm) with ploughshare impellers to examine the effect of processing variables on the velocity fields and torque during agglomeration. Liquid to powder ratio, impeller rotation speed and initial powder volume fill were varied and agglomerate properties were measured. Coincident transitions of the mechanism of agglomeration and type of flow were induced by varying the impeller speed. At around 4Hz the mode of the agglomerate size distribution increased rapidly together with an increase in tap bulk density, a weakening of the agglomerates, and a change in the relationship between torque and time. Tracers were used to show that there was an associated change in the size enlargement mechanism from crushing and layering to coalescence. Detailed velocity information, obtained using a positron camera, showed that at around 4Hz the particle angular velocity increased rapidly while mean axial velocity and the axial dispersion coefficient were greatest. Some particles left the bed as the transition from gravity-dominated to centrifuging flow occurred. For all conditions around 90% of the agglomerates were moving at less than 30% of the impeller tip speed and it is likely that the impeller Froude number (Fr) is not the appropriate criterion to designate the transition from gravity-dominated to centrifuging flow. For instance at 4Hz (Fr=8), around 5% of the agglomerates and none of the sand had a particle Froude number (Frp) greater than 1. At 6Hz (Fr=18), 20% of the agglomerates and 5% of the sand had Frp>l. Hence the particle Froude number is a better criterion to determine the onset of centrifuging flow. Taken together, the agglomerate properties and velocity distributions were consistent with the current binary collision model for agglomeration. In order to further improve knowledge of agglomeration it is essential to conduct integrated studies of agglomerate properties and flow fields using well-defined systems together with physically-based approaches to modelling.
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Wu, Xiqing. "Modelling carbon-gold-oil agglomeration". Thesis, Imperial College London, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.289917.

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Grafeneder-Weissteiner, Theresa. "Demographic change, growth and agglomeration". Department of Economics, WU Vienna University of Economics and Business, 2010. http://epub.wu.ac.at/902/1/document.pdf.

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This article presents a framework within which the effects of demographic change on both agglomeration and growth of economic activities can be analyzed. I introduce an overlapping generation structure into a New Economic Geography model with endogenous growth due to learning spillovers and focus on the effects of demographic structures on long-run equilibrium outcomes and stability properties. First, life-time uncertainty is shown to decrease long-run economic growth perspectives. In doing so, it also mitigates the pro-growth effects of agglomeration resulting from the localized nature of learning externalities. Second, the turnover of generations acts as a dispersion force whose anti-agglomerative effects are, however, dampened by the growth-linked circular causality being present as long as interregional knowledge spillovers are not perfect. Finally, lifetime uncertainty also reduces the possibility that agglomeration is the result of a self-fulfilling prophecy. (author's abstract)
Series: Department of Economics Working Paper Series
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Fu, Shihe. "Essays on urban agglomeration economies". Thesis, Boston College, 2005. http://hdl.handle.net/2345/349.

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Thesis advisor: Richard Arnott
Thesis advisor: Marvin Kraus
Thesis advisor: Stephen Ross
This dissertation comprises three self-contained essays on urban agglomeration economies. The first essay studies the optimal population agglomeration in a city in dynamic contexts. The second essay tests the local labor market agglomeration economies in the Boston metropolitan area, focusing on the effects of social interactions at workplaces on individual earnings. The third essay tests the effects of social interactions at residential locations on housing values
Thesis (PhD) — Boston College, 2005
Submitted to: Boston College. Graduate School of Arts and Sciences
Discipline: Economics
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Grafeneder-Weissteiner, Theresa, i Klaus Prettner. "Agglomeration processes in aging societies". Department of Economics, WU Vienna University of Economics and Business, 2010. http://epub.wu.ac.at/1620/1/document.pdf.

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This article investigates agglomeration processes in aging societies by introducing an overlapping generation structure into a New Economic Geography model. Whether higher economic integration leads to spatial concentration of economic activity crucially hinges on the economies' demographic properties. While population aging as represented by declining birth rates strengthens agglomeration processes, declining mortality rates weaken them. This is due to the fact that we allow for nonconstant population size. In particular, we show that population growth acts as an important dispersion force that augments the distributional effects on agglomeration processes resulting from the turnover of generations. (author's abstract)
Series: Department of Economics Working Paper Series
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Smith, Sarah Ann. "Methods of Improving Oil Agglomeration". Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/76989.

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A simple thermodynamic analysis suggests that oil can spontaneously displace water from coal's surface if the coal particle has a water contact angle greater than 90°. However, the clean coal products obtained from laboratory-scale dewatering-by-displacement (DbD) test work assayed moistures substantially higher than expected. These high moisture contents were attributed to the formation of water-in-oil emulsions stabilized by coal particles. Four different approaches were taken to overcome this problem and obtain low-moisture agglomeration products. These included separating the water droplets by screening, breaking emulsions with ultrasonic energy, breaking agglomerates with ultrasonic energy, and breaking agglomerates using vibrating mesh plates. On the basis of the laboratory test work, a semi-continuous test circuit was built and tested using an ultrasonic vibrator to break the water-in-oil emulsions. The most promising results were obtained agglomerates were broken using the ultrasonic probe and the vibrating mesh plates. Tests conducted on flotation feed from the Kingston coal preparation plant gave a clean coal product containing 1% by weigh of moisture with a 94% combustible recovery. The separation efficiency of 93% is substantially higher than results achievable using froth flotation. When agglomerates formed from thermal coal from the Bailey coal preparation plant were broken using either ultrasonic energy or vibrating mesh plates, the obtained results were very similar: clean coal products assayed less than 5% moisture with separation efficiencies of 86% in average.
Master of Science
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Lindqvist, Göran. "Disentangling clusters : agglomeration and proximity effects". Doctoral thesis, Handelshögskolan i Stockholm, Institute of International Business (IIB), 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hhs:diva-426.

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Clusters are spatial agglomerations of firms in related industries. Although industry clusters have existed for centuries, the cluster concept has only recently been formulated in economic terms and has begun to attract considerable interest from scholars and policymakers over the last 20 years. A vast literature has examined all kinds of clusters and how clustering relates to innovation, growth, and other forms of economic performance of firms and regions. The cluster concept has provided a framework for thousands of national, regional, and local initiatives around the world. Yet, both research and policy efforts have yielded varying and sometimes contradictory results. This dissertation revisits some of the most basic questions about clusters. Using an approach that treats agglomeration and proximity effects as separate but related phenomena, it examines three fundamental aspects of clusters. First, it proposes a way to measure agglomeration more accurately and presents more detailed data on clusters in Europe than have previously been available. Second, it analyses the benefits of clusters for new firms and for regions. Third, it examines how clusters are “organised” through cluster initiatives. The results presented here carry implications for the study of clusters in economic geography, strategic management, and cluster policy research. They also contribute to our knowledge of cluster organisations and are of interest to both policymakers and cluster practitioners. Göran Lindqvist is a researcher at the Center for Strategy and Competitiveness at the Stockholm School of Economics. He has published books and articles about clusters and cluster policy, and he has conducted numerous cluster-related projects for international and national public agencies in Europe and the USA. www.sse.edu/csc

Diss. Stockholm : Handelshögskolan, 2009 Sammanfattning jämte 7 uppsatser

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Hanson, Gordon H. (Gordon Howard). "Industry agglomeration and trade in Mexico". Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/13177.

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Fang, Wanli Ph D. Massachusetts Institute of Technology. "Dispersion of agglomeration through transport infrastructure". Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81637.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 191-199).
My dissertation aims to assess transport infrastructure's influence on the productivity, scale and distribution of urban economic activities through changing intercity accessibility. Standard project-level cost-benefit analysis fails to capture the economy-wide impacts in justifying investments in the transport sector. I propose a research framework that: (1) synthesizes the spatial emphasis of the New Economic Geography theories with the temporal perspective of the growth theories; (2) extends the scope of agglomeration effects by highlighting a city's access to external resources as a partial substitute for its own endowment; and (3) bridges the spatial discontinuity between regional and urban studies by introducing intercity accessibility as a determinant of intra-city land uses. I apply the proposed framework to study the spatial economic impacts of China's high-speed rail system at network, corridor, and node (city) levels. The GIS-based spatial analyses of the network accessibility measured by three alternative indicators consistently illustrate that, the extensive transport investments during 2001-2010 have reduced the disparities in accessibility among cities in China, with the coefficient of variation dropping by nearly 50%. Differently, estimations from the panel data models shed light on the complexity in the relationship between accessibility and economic activities, which consists of both generative and redistributive components and simultaneously leads to convergent and divergent economic outcomes. Yet, empirical evidence denies the saturation effects of accessibility. Extended estimations using different instrument variables (IV) partially relieve the concerns on endogeneity issues. Further analyses of a particular transport corridor reveal that, with HSR, the regional urban hierarchy is evolving towards a more interwoven structure, with major cities reaching for overlapped hinterlands. HSR's short-run influences on the location choice of economic activities vary in terms of spatial coverage and are not necessarily restricted to cities with direct HSR access. The city-level comparative case studies indicate that HSR stations introduce external demand for urbanization, leading to new development once matching land supply exists. A cluster analysis of ten demand-supply-related factors generates three prototypes of station-area development. For each type, public and private sectors have adopted different institutional arrangements, yet common challenges exist in preventing speculative investments and matching the development portfolio with the composition of actual needs. The findings lead to important policy implications for decision-makers in China. First, China has not exhausted the agglomeration benefits dispersing through transport infrastructure given the remarkable regional disparities. From an economic development perspective, HSR lines connecting coastal megacities with lagging inland cities are effective in reducing disparities in accessibility and should be encouraged. Second, for the appraisal of major transport projects including HSR, it is reasonable to extend the standard CBA to include the generative benefits; to evaluate the impacts on regional disparities based on redistributive effects; and to avoid overbuilding through identification of saturation effects. Third, HSR has the potential to reshape the path of urbanization. The evolution of the urban hierarchy towards a more interwoven structure may eventually raise the need for adapting administrative arrangements to fit the actual economic interaction. As to urban configuration, HSR stations may catalyze compact urbanization around transit facilities. However, local governments should avoid using HSR stations as a vehicle for excessive generation of land concession revenues.
by Wanli Fang.
Ph.D.
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Fong, William Shan-chen. "Plasticity and agglomeration in coal pyrolysis". Thesis, Massachusetts Institute of Technology, 1986. http://hdl.handle.net/1721.1/74963.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1986.
MICROFICHE COPY AVAILABLE IN ARCHIVES AND SCIENCE.
Bibliography: leaves 202-205.
by William Shan-chen Fong.
Ph.D.
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Książki na temat "Agglomeration"

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Fischli, Peter. Siedlungen, Agglomeration. Zürich: Edition Patrick Frey, 1993.

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Hall, Robert Ernest. Temporal agglomeration. Cambridge, MA: National Bureau of Economic Research, 1989.

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1967-, Glaeser Edward L., red. Agglomeration economics. Chicago: The University of Chicago Press, 2010.

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Bizhanov, Aitber, i Valentina Chizhikova. Agglomeration in Metallurgy. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-26025-5.

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author, Kerr William R., i Harvard Business School, red. Agglomeration and innovation. Boston]: Harvard Business School, 2014.

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Martin, Philippe. Growth and agglomeration. London: Centre for Economic Policy Research, 1996.

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Fujita, Masahisa. Economics of agglomeration. London: Centre for Economic Policy Research, 1996.

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Christa, Kamleithner, red. Ästhetik der Agglomeration. Wuppertal: Verlag Müller + Busmann, 2006.

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Ishiguro, Yasuko. Endogeneous capital agglomeration. Kobe: Institute for Economic and Business Administration Research, University of Hyogo, 2004.

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Sandtner, Martin. Städtische Agglomerationen als Erholungsraum: Ein vernachlässigtes Potential : Fallbeispiel trinationale Agglomeration Basel. Basel: Wepf & Co., 2004.

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Części książek na temat "Agglomeration"

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Gooch, Jan W. "Agglomeration". W Encyclopedic Dictionary of Polymers, 22. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_323.

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Papageorgiou, Yorgos Y., i David Pines. "Agglomeration". W Advances in Urban and Regional Economics, 205–33. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4947-5_9.

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Beckmann, Martin J. "Agglomeration". W Lectures on Location Theory, 107–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03762-1_9.

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Luque, Jaime. "Agglomeration Spillovers". W Urban Land Economics, 33–37. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15320-9_6.

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Strange, William C. "Urban Agglomeration". W The New Palgrave Dictionary of Economics, 14118–22. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_2838.

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Gurwitz, Aaron. "Catastrophic Agglomeration". W Atlantic Metropolis, 135–47. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13352-8_4.

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Seto, Takafumi, Kikuo Okuyama i Ko Higashitani. "Agglomeration (Coagulation)". W Powder Technology Handbook, 129–38. Fourth edition. | Boca Raton, FL : Taylor & Francis Group, LLC, 2020.: CRC Press, 2019. http://dx.doi.org/10.1201/b22268-18.

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Strange, William C. "Urban Agglomeration". W The New Palgrave Dictionary of Economics, 1–5. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/978-1-349-95121-5_2838-1.

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Jones, Colin. "Spatial agglomeration". W Urban Economy, 18–27. London: Routledge, 2021. http://dx.doi.org/10.1201/9781003027515-4.

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Otter, Chris. "Planetary Agglomeration". W Environment, Agency, and Technology in Urban Life since c.1750, 23–43. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-46954-1_2.

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Streszczenia konferencji na temat "Agglomeration"

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Huihui, Nan, Lu Qing i Zhao Qian. "Comparative analysis of Beijing-Tianjin-Hebei urban agglomeration, Yangtze river delta urban agglomeration, Guangdong, Hong Hong and Macau Bay area based on gravity model". W 55th ISOCARP World Planning Congress, Beyond Metropolis, Jakarta-Bogor, Indonesia. ISOCARP, 2019. http://dx.doi.org/10.47472/nxmq2189.

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Beijing-Tianjin-Hebei urban agglomeration, Yangtze River Delta urban agglomeration and the Guangdong, Hong Kong, Macau Greater Bay Area are China's three major urban agglomerations, including China's political, economic, financial and technological centers, which are important engines of the Chinese economy. The purpose of this study is to compare these three urban agglomerations from the economy, government management and spatial interactions. The major methodology of the study is gravity model. Since there are no clear official regulations for the scope of the three major urban agglomerations, we should define the scope and core areas at first, making them at a comparable level. First of all, the economy of the three major urban agglomerations in the wide area range are similar, while the core area of Beijing-Tianjin-Hebei urban agglomeration is the weakest in per capita GDP. In the perspective of government management, the Beijing-Tianjin-Hebei urban agglomeration is policy-oriented and pays more attention to regional balanced development. The Yangtze River Delta urban agglomeration mainly focus on economic development. Under the policy of reform and opening up, Guangdong, Hong Kong, Macau Bay Area is seeking more regional cooperation with Hong Kong and Macau. In terms of spatial interactions, the Beijing-Tianjin-Hebei urban agglomeration presents a dual-core structure between Beijing and Tianjin. The other urban nodes in Hebei Province are not obvious, and the regional connections are weak, leading to unbalanced development. The Yangtze River Delta urban agglomeration presents the characteristics of a networked structure, and the cities in the entire region are closely connected and have a tendency to be integrated both in economy and transportation. The Guangdong, Hong Kong and Macau Greater Bay Area has formed a strong core composed of cities such as Guangzhou, Shenzhen, Hong Kong, Macau and Dongguan, which are closely linked with each other, but weakly connected with external region.
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Kryukov, I. A. "Characteristics of Housing Market Development in Russian Urban Agglomerations". W XXI International Conference of Young Scientists. Institute of Economics of the Ural Branch of the Russian Academy of Sciences, 2024. http://dx.doi.org/10.17059/mkmu2024-20.

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The research aims to identify development characteristics of the residential real estate market in agglomerations of Russian regions. It is hypothesised that second-tier agglomerations have not formed a common real estate market and agglomeration effects are negligible in practice. The study determined spatial disparities in the quality of housing stock and calculated the correlation coefficient of apartment prices in eight Russian agglomerations. The obtained results can be useful for regional and municipal authorities in the implementation of urban agglomeration development programmes. Futures studies can focus on the establishment of institutional and instrumental frameworks for the formation and development of a common housing market of urban agglomerations.
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Nozhenko, D. Yu, A. A. Pryadein i N. V. Kazakovа. "Main Trends in the Development of Urban Agglomerations (on the Example of the Ekaterinburg Agglomeration)". W VII International Scientific Conference. Institute of Economics of the Ural Brach of Russian Academy of Sciences, 2023. http://dx.doi.org/10.17059/rec-2023-3-3.

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The article examines main trends in the development of urban agglomerations in the Russian Federation. The results of the study of agglomeration processes on the example of the Ekaterinburg agglomeration are presented, main regulation directions of agglomeration processes are identified. The paper substantiates the need to strengthen horizontal ties between local governments in order to ensure a balanced economic and spatial development of areas. The findings can be used by scientists, as well as by regional and municipal authorities involved in the creation and implementation of strategic and territorial development documents.
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Marciano Ribeiro, Helivelton, William Moreira da Silveira i José Antônio Soares. "NON AGGLOMERATION". W I Jornada Científica e Tecnológica da UNA Pouso Alegre - 2021. ,: Even3, 2021. http://dx.doi.org/10.29327/jornadaunapa2021.401855.

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Annaratone, B. M., T. Antonova, C. Arnas, Y. Elskens, G. Morfill, José Tito Mendonça, David P. Resendes i Padma K. Shukla. "Agglomeration of Dust". W MULTIFACETS OF DUSTRY PLASMAS: Fifth International Conference on the Physics of Dusty Plasmas. AIP, 2008. http://dx.doi.org/10.1063/1.2997284.

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Yan Xia i Yingming Zhu. "Research on the relationship between industrial agglomeration and talent agglomeration". W 2017 14th International Conference on Service Systems and Service Management (ICSSSM). IEEE, 2017. http://dx.doi.org/10.1109/icsssm.2017.7996137.

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Светлана, Изаак, i Каргин Николай. "SOCIOLOGICAL INFORMATION THEORY IN URBAN AGGLOMERATION MANAGEMENT". W MODERN CITY: POWER, GOVERNANCE, ECONOMICS. Publishing House of Perm National Research Polytechnic University, 2020. http://dx.doi.org/10.15593/65.049-66/2020.12.

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The article notes that informatization of the management process is currently one of the most pressing and at the same time one of the most difficult tasks. The aim of the work is to analyze and systematize the main theoretical and methodological provisions on the interdependence of sociological information and the management of urban agglomerations. It is noted that in the modern situation of social development, when due to the large flow of information there is a need for its awareness and operational application for the management of all structures of urban agglomeration, it is important to adhere to the theoretical and methodological pro-visions identified in the work.
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Singer, Jeremy, Callum Cameron i Marc Alexander. "Programming language feature agglomeration". W the 1st Workshop. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2717124.2717128.

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Menshutkin, V. V., i T. R. Minina. "Agglomeration processes and municipalities". W REGIONAL ECONOMY AND TERRITORIAL DEVELOPMENT. INSTITUTE OF PROBLEMS OF REGIONAL ECONOMICS OF THE RUSSIAN ACADEMY OF SCIENCES, 2022. http://dx.doi.org/10.52897/978-5-7310-5861-2-2022-16-1-125-135.

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Agglomeration has become a priority in the territorial and economic development of the country, contributing to the improvement of the regional economy, raising the investment attractiveness of territories, increasing the sustainability of the settlement system, the interaction of municipalities in the economy, demographic and social spheres. In order to solve the resulting transport and road construction problems in the agglomeration area, the deterioration of the environmental condition of the agglomeration core, and the population outflow from cities and regional municipalities, it is necessary to study the socio-economic situation of the region's municipalities and the population's attitude to the development of the agglomeration
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Zhang, Xiangrong, i Lianze Wang. "A stochastic method for calculating the collision and agglomeration in an electrostatic agglomerator". W 2011 International Conference on Multimedia Technology (ICMT). IEEE, 2011. http://dx.doi.org/10.1109/icmt.2011.6002375.

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Raporty organizacyjne na temat "Agglomeration"

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Hall, Robert. Temporal Agglomeration. Cambridge, MA: National Bureau of Economic Research, październik 1989. http://dx.doi.org/10.3386/w3143.

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Carlino, Gerald, i William Kerr. Agglomeration and Innovation. Cambridge, MA: National Bureau of Economic Research, sierpień 2014. http://dx.doi.org/10.3386/w20367.

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Harrigan, James, i Anthony Venables. Timeliness, Trade and Agglomeration. Cambridge, MA: National Bureau of Economic Research, kwiecień 2004. http://dx.doi.org/10.3386/w10404.

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Krugman, Paul. Fluctuations, Instability, and Agglomeration. Cambridge, MA: National Bureau of Economic Research, styczeń 1994. http://dx.doi.org/10.3386/w4616.

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Baldwin, Richard. Agglomeration and Endogenous Capital. Cambridge, MA: National Bureau of Economic Research, marzec 1998. http://dx.doi.org/10.3386/w6459.

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Gaubert, Cecile. Firm Sorting and Agglomeration. Cambridge, MA: National Bureau of Economic Research, kwiecień 2018. http://dx.doi.org/10.3386/w24478.

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Benmelech, Efraim, Nittai Bergman, Anna Milanez i Vladimir Mukharlyamov. The Agglomeration of Bankruptcy. Cambridge, MA: National Bureau of Economic Research, czerwiec 2014. http://dx.doi.org/10.3386/w20254.

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Hanlon, Walker, i Antonio Miscio. Agglomeration: A Dynamic Approach. Cambridge, MA: National Bureau of Economic Research, grudzień 2014. http://dx.doi.org/10.3386/w20728.

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Duranton, Gilles, i William Kerr. The Logic of Agglomeration. Cambridge, MA: National Bureau of Economic Research, sierpień 2015. http://dx.doi.org/10.3386/w21452.

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Kerr, Sari Pekkala, William Kerr, Çaǧlar Özden i Christopher Parsons. High-Skilled Migration and Agglomeration. Cambridge, MA: National Bureau of Economic Research, grudzień 2016. http://dx.doi.org/10.3386/w22926.

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