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1
Zhumagulova, R. E., und G. Zh Zharaspaeva. „INJURY METHODS IN DIFFERENT INDUSTRIAL INDUSTRIES“. Bulletin of Kazakh Leading Academy of Architecture and Construction 85, Nr. 3 (14.09.2022): 191–200. http://dx.doi.org/10.51488/1680-080x/2022.3-18.
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Today there are different methods of analysis and forecasting of occupational injuries. However, it is still impossible to pinpoint the root causes of injuries. Industrial injuries are always present in any production, and the main task of managing labor protection at the enterprise is to reduce it as much as possible. In this institution, a comprehensive approach was used in the analysis of injuries, in addition to the traditional method of statistical analysis, group analysis of injuries, topographic and probabilistic methods of analysis were carried out.
2
Lippmann, Morton, und Merril Eisenbud. „Industrial Hygiene in the War Industries“. Applied Occupational and Environmental Hygiene 13, Nr. 7 (Juli 1998): 511–14. http://dx.doi.org/10.1080/1047322x.1998.10390098.
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3
Zhang, Yang, Wenlong Li, Jiawen Sun, Haidong Zhao und Haiying Lin. „A Research Paradigm for Industrial Spatial Layout Optimization and High-Quality Development in The Context of Carbon Peaking“. Sustainability 15, Nr. 4 (08.02.2023): 3105. http://dx.doi.org/10.3390/su15043105.
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The reasonable spatial layout of industries is crucial to carbon reduction and high-quality economic development. This paper establishes a research paradigm for optimizing the industrial spatial layout and high-quality development in the context of carbon peaking. Based on the perspectives of industrial transfer, the static agglomeration index, dynamic agglomeration index, industrial gradient coefficient, and low-carbon competitiveness index are used to analyze industrial agglomeration, competition status, and low-carbon competitiveness. Taking the Great Bend of the Yellow River (the Bend) as an example, we analyze the current situation in industrial development, guide the orderly transfer of industry, and optimize the spatial layout of industries to achieve high-quality economic development. The results show that resource- and capital-intensive industries have obvious advantages in agglomeration, competitive edge, and low-carbon competitiveness, while labor- and technology-intensive industries have weak advantages. The spatial layout of agglomerated industries was analyzed across four types of factor-intensive industries; these industries are the focus of industrial layout in the Bend. Promising industries were observed in all types of factor-intensive industries except capital-intensive industries, and these industries should be cultivated carefully in all provinces. Scale industries were mainly observed in resource- and capital-intensive industries; these industries should be transformed and upgraded to control the total amount and intensity of carbon emissions. The study’s findings provide a basis for optimizing the spatial layout of industries and reducing carbon emissions through industrial transfer in the context of carbon peaking. The relevant industries should be transformed and upgraded to control the total amount and intensity of carbon emissions.
4
Hamdani, Moulay Abdessadk El, und Abdelaziz Bendou. „Technology Transfer Analysis in Industrial Ecosystems: Case of Souss-Massa Processing Industries“. Journal of Advanced Research in Dynamical and Control Systems 11, Nr. 11-SPECIAL ISSUE (20.11.2019): 1072–87. http://dx.doi.org/10.5373/jardcs/v11sp11/20193139.
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5
Pai, Mi Kyung. „The Technical Progress and Resilience in Productivity Growth of Korea's Growth-Leading Industries“. Asian Economic Papers 15, Nr. 2 (Juni 2016): 167–91. http://dx.doi.org/10.1162/asep_a_00441.
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This study investigates the total factor productivity (TFP) growth of targeted industries, and seeks to verifiy upgrading in Korea's industrial structure by examining changes in its growth-leading industries from 1995 to 2012. In addition, it also examines the main source behind the resilience in the TFP growth of 37 key manufacturing industries after two global financial crises. The stochastic frontier production model is applied using a micro-level panel data set of the establishments for the 37 key manufacturing industries for the estimations. Empirical results show that a steadily high rate of technical progress was the driving force behind the resilience in the TFP growth of the 21 growth-leading industries after two global financial crises. The 21 growth-leading industries achieved nearly five times the TFP growth and four times the technological progress of the other 16 key industries. A change in the growth-leading industries in 2012 shows an upgrade in the industrial structure with more knowledge-based and high-technology-based industries than in 2000 and 2005. The study suggests further research on the role of institutions and industrial policies for industrial upgrading based on the findings of this study in order for Korea to enhance its industrial development for a more sustainable long-run economic growth.
6
Jiang, Lin. „Chinese Industrialization Process - Take Creative Industries for Example“. Advanced Materials Research 711 (Juni 2013): 726–29. http://dx.doi.org/10.4028/www.scientific.net/amr.711.726.
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Understanding of the status quo of the industrial structure is very important to determine the stage of China's industrialization process and be able to help us to a correct understanding of the current situation of the creative industries, to forecast the trend of the development of creative industries, and to provide a proper basis for guiding policy for the development of creative industries. The article concluded that the development of creative industries in China based on the park and the base for the development of creative industries to promote industrial organic interaction and common development of different industries within the creative industries.
7
Gao, Ting. „Regional industrial growth: evidence from Chinese industries“. Regional Science and Urban Economics 34, Nr. 1 (Januar 2004): 101–24. http://dx.doi.org/10.1016/s0166-0462(03)00023-1.
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8
Hu, Shuju, Wei Song, Chenggu Li und Charlie H. Zhang. „The Evolution of Industrial Agglomerations and Specialization in the Yangtze River Delta from 1990–2018: An Analysis Based on Firm-Level Big Data“. Sustainability 11, Nr. 20 (19.10.2019): 5811. http://dx.doi.org/10.3390/su11205811.
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Although industrial agglomeration and specialization have been studied for more than 100 years, it is still a controversial field. In the era of big data, it is of great significance to study industrial agglomeration and regional specialization by using firm-level data. Based on 3,053,024 pieces of firm-level big data, the spatial evolution and spatial patterns of industrial agglomeration and specialization of 9 major industries in the Yangtze River Delta, China were revealed. Results show that: (1) the degree of industrial agglomeration is highly related to industrial attributes; industries which are directly related to production tend to be geographically concentrated, while industries that serve for production tend to be spatially dispersed; (2) the evolution characteristics and trajectories of industrial agglomeration vary by industries: wholesale and retail trade and real estate are becoming more spatially dispersed; information industries, leasing and commercial services, scientific research and polytechnic services, as well as finance are experiencing continuous spatial agglomeration; construction and manufacturing show a tendency of transfer from spatial agglomeration to spatial dispersion; (3) since 1990, most industries in the Yangtze River Delta have formed distinct spatial patterns of industrial specialization. Most core cities have experienced obvious deindustrialization processes; and high-end industries are clustering to the three biggest core cities of Shanghai, Nanjing, and Hangzhou.
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Chi, Yihan, Yongheng Fang und Jiamin Liu. „Research on the motivation system and path simulation of collaborative agglomeration of Chinese culture and tourism industries based on system dynamics“. PLOS ONE 19, Nr. 1 (25.01.2024): e0296963. http://dx.doi.org/10.1371/journal.pone.0296963.
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In the context of industrial integration, the collaborative agglomeration of the cultural and tourism industries is an important way to promote their integrated development and achieve both industrial transformation and upgrading. This article first analyzes the dynamics of the cultural and tourism industries as a collaborative agglomeration. A system dynamics model is then presented which represents the perspective and reveals the mechanics of this partnership between the two industries. Finally, the authors use this model to simulate the path made possible by their collaborative agglomeration. The results show: (1) From the perspective of industrial policy, the promotion and guidance function of industrial policy elements still needs strengthening in the collaborative development of China’s cultural and tourism industries. (2) From the perspective of industrial economy, the promotion function of industrial economic factors still needs improving in the collaborative agglomeration and development of China’s cultural and tourism industries. (3) From the perspective of the joint effect of industrial policy and economy, the collaborative effect of industrial policies and economic factors is more conducive to promoting the collaborative agglomeration development of China’s cultural and tourism industries. The research in this article can provide theoretical support and policy recommendations for promoting coordinated development of China’s cultural and tourism industries and can also provide the experience needed to serve as a reference for the joint development of tourism and culture in other similar regions.
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Jo, Sung-Su, Hoon Han, Yountaik Leem und Sang-Ho Lee. „Sustainable Smart Cities and Industrial Ecosystem: Structural and Relational Changes of the Smart City Industries in Korea“. Sustainability 13, Nr. 17 (03.09.2021): 9917. http://dx.doi.org/10.3390/su13179917.
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This paper examines the changing industrial ecosystem of smart cities in Korea using both input–output and structural path analysis from 1960 to 2015. The industry type of the input–output tables used in the Bank of Korea was reclassified into nine categories: Agriculture and Mining, Traditional Manufacturing, IT Manufacturing, Construction, Energy, IT Services, Knowledge Services, Traditional Services and other unclassified. The paper identified the changing patterns of an industrial ecosystem of smart cities in Korea. The study found that smart industries such as smart buildings and smart vehicles are anchor industries in Korean smart cities, and they are positively correlated with three other industries: IT Manufacturing, IT Services and Knowledge Services. The results of the input–output and structural path analysis show that the conventional industrial structure of labor-intensive manufacturing and diesel and petroleum cars has been transformed to the emerging high-tech industries and services in smart cities. Smart industries such as IT Manufacturing, IT Services and Knowledge Services have led to sustainable national economic growth, with greater value-added than other industries. The underlying demand for smart industries in Korea is rapidly growing, suggesting that other industries will seek further informatization, automatization and smartification. Consequently, smart industries are emerging as anchor industries which create value chains of new industries, serving as accelerators or incubators, for the development of other industries.
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Yumna, Adinda, und Sishadiyati Sishadiyati. „Analysis of Differences Food Industry and Footwear Industry Sectors on Economic Growth of Industrial Sector in Mojokerto Regency“. Journal of Business Management and Economic Development 2, Nr. 03 (17.06.2024): 1209–21. http://dx.doi.org/10.59653/jbmed.v2i03.948.
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The growth of the industrial sector has a significant impact on economic growth in a region. The industrial sector that dominates Mojokerto Regency is the food and footwear industry. Industrial development can be seen through the number of industries, workforce and investment. Even though they both dominate, the development of the footwear industry has decreased compared to the food industry which is increasingly developing well. The aim of this research is to determine the differences between the food and footwear industries and their influence on the economic growth of the industrial sector in Mojokerto Regency. This research is important because it not only discusses the differences between the food and footwear industries but also looks at the influence of these two industries on the economic growth of the industrial sector. This research uses a different test analysis method independent sample t-test and multiple linear regression analysis on time series data. The research results show that the number of industries and workers in the food and footwear industrial sector does not make a difference to the economic growth of the industrial sector, while investment in the food and footwear industrial sector has a difference to the economic growth of the industrial sector. Then the number of industries, workforce and investment in the food industry partially and simultaneously influence the economic growth of the industrial sector. While labor and investment in the footwear industry have an influence on economic growth, the number of industries in the footwear industry has no effect on the economic growth of the industrial sector in Mojokerto Regency.
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Pan, Yufeng, und Hui Huang. „Analysis of the Correlation between Emerging Industry Development and University Students’ Entrepreneurship Based on Big Data“. Discrete Dynamics in Nature and Society 2022 (11.01.2022): 1–11. http://dx.doi.org/10.1155/2022/1098903.
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With the strong support of local governments for strategic emerging industries such as high-end equipment manufacturing, new materials, and new energy, strategic emerging industries are playing an increasingly important role in the economy and society. With the increasing enthusiasm of college graduates for independent entrepreneurship, college students’ entrepreneurship is constantly integrated with the development of strategic emerging industries. Based on this background, aiming at the practical problems of the development of strategic emerging industries, this study innovatively puts forward the method of using big data technology and GM model to realize the dynamic model analysis of the development of strategic emerging industries and college students’ entrepreneurial behavior. This article analyzes the correlation between dynamic big data such as industrial scale, industrial market, and industrial direction of local strategic emerging industries and university entrepreneurship, so as to provide theoretical support for the development strategy of strategic emerging industries. Through the neural network algorithm, this article evaluates the entrepreneurship of college students, so as to provide a digital basis for the layout of strategic emerging industries to attract talents and entrepreneurship. Experiments show that the big data integration system established by GM correlation analysis and ant colony Elman regression artificial neural network has high accuracy and can well identify the priority relevance of the industrial direction of strategic emerging industries to college students’ entrepreneurship. It provides theoretical support for regional policy makers to better formulate college students’ entrepreneurship strategy and the development plan of emerging industries.
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Xu, Guangqing, Danze Huang, Xiaoyu Chen und Mengyao Chen. „Study on energy rebound effects of China’s industries“. PLOS ONE 18, Nr. 3 (01.03.2023): e0282242. http://dx.doi.org/10.1371/journal.pone.0282242.
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From the perspective of generalized technological progress, this study investigates the energy rebound effects on China’s domestic overall and the country’s various industries using 2005–2017 data. The results showed that the rebound effect of the domestic overall is driven mainly by the secondary sector. The domestic overall and high-energy-consuming industries decrease the rebound effects, whereas low-energy-consuming industries increase the rebound effects. As China’s industrial structure does not lean toward high-energy-consuming industries, this implies that the Industrial Restructuring Initiative that began in the Chinese government’s “Eleventh Five-Year Plan” has effectively slowed down the rebound effects of high-energy-consuming industries, and the feedback effect of self-reinforcement within the economic system was offset. The results also implied that energy efficiency policies should shift to low-energy-consuming industries; the rebound effects of the energy industries could be lessened, the energy efficiency of low-energy-consuming industries could be increased, and the industrial structure could be further optimized by implementing an appropriate pricing in electricity.
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Tillerias, Héctor, Juan Segura und Gabriela Álvarez. „Innovation, Evolution and History of Technology in Industry“. Athenea 1, Nr. 1 (25.09.2020): 14–21. http://dx.doi.org/10.47460/athenea.v1i1.2.
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This paper presents a description of the history of the technology used in the industries, its evolution regarding the use of energy and the processes that have innovated it within the industries. It describes the technology that highlighted industrial revolutions from the first to the present, and presents estimates of future trends. The evolution presents changes regarding energy consumption and efficiencies in the use of technologies in the industry. The innovation presents the changes or techniques implemented to obtain greater benefit from the technology and respond in a better way to the market demand. Clear trends are identified in the increased use of technology in industries with respect to their labor and energy consumption.
Keywords: Technologies, industrial revolutions, innovation.
References
[1]G. M. GROSSMAN, «Innovation and Growth in the Global Economy,» Cambridge, 1991.
[2]S. NAVA, «New Paradigm of Big Data in Industry 4.0 era,» TOG ( A Coruña), 2018.
[3]L. Kim, La dinámica del aprendizaje tecnológico en la industrialización, Suam Foundation, 2000.
[4]H. Pack, E.Westphal, Industrial Strategy and Technological Change, Journal of Development Economies, vol. 4, pp. 205-237, 1986.
[5]A. ESCARDINO, «La innovación tecnológica en la industria cerámica de Castellón,» Boletin de sociedad Española Ceramica y vidrio, vol. 40, 2001.
[6]M ASHTON, T.S. «The lnduetrtal Revolutlon, 1760-1830. Oxford University Press, 1948». La Revolución Industrial. F.C.E., México, 1950.
[7]E. WRIGLEY, The Supply of Raw Materials in the Industrial Revolution, Economic History Review, 1962.
[8]R. CANTOR, La tercera revolución industrial. Universitas Humanística, 2004. [Online]. Available: https://revistas.javeriana.edu.co/index.php/univhumanistica/article/view/9908. [Last access: January 23, 2020].
[9]K. SCHWAB, Cuarta Revolución Industrial. Madrid: Debate, 2016.
[10]C. MACHICADO, Las revoluciones industriales. INESAD: Desarrollo sobre la Mesa, 2018, [Online]. Available: [http://inesad.edu.bo/dslm/2018/08/las-revoluciones-industriales/[Last access: January 23, 2020].
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Maher, Asaad Hamdi. „The developmental effect of the small industries in the Kurdistan region – Iraq“. Journal of University of Human Development 2, Nr. 1 (31.01.2016): 202. http://dx.doi.org/10.21928/juhd.v2n1y2016.pp202-221.
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The small industries have played a great role achieving the objectives of the industrial development through certain features such as increasing and varying the production and also the opportunities of jop as well the integration between the industrial sectors.
As a result there should be an emphasis on developing and encouraging such industries, because they are very important for the social and economic development .
This research concentrates on a hypothesis that such industry (the smallest industries) has a crucial role to achieve the industrial development, and how to eliminate the problem of unemployment in Kurdistan's region, furthermore.
The research also aims to discuss the reality of the mini industries and their significant in the industrial development through the analysis of the measures of growth of these industries in Kurdistan's region.
16
Kumar, Pawan, und PawanKr Bharti. „Effluent quality assessment of different drains in SIDCUL industrial Area at Haridwar (Uttarakhand)“. Environment Conservation Journal 13, Nr. 1&2 (18.06.2012): 115–18. http://dx.doi.org/10.36953/ecj.2012.131221.
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In the industrial era, the untreated effluents of various industries can alter the properties of surface water and may increase the pollution load in soil system and ultimately contaminate the local ground water aquifer. The SIDCUL industrial zone has been developed very fast by establishing the major industries at Haridwar in Uttarakhand. The present paper deals with the identification and estimation of the physico-chemical variables of effluents from different major industries in SIDCUL industrial area at Haridwar. The parameters, TSS, BOD and COD of the many effluents were recorded with higher values in comparison to standards. The composite effluents of different industries have contribute significantly for the degradation of surface water and soil quality of adjoining areas of industrial zone at Haridwar. The present study shows an assessment of qualitative and quantitative pollution load in the effluents drained from the different industries in the vicinity of industrial zone.
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Liu, Mingkai, Changxin Liu, Shouting Zhang, Baoyin Liu, Yi Sun, Xun Ge, Xinyu Wang und Hongyan Zhang. „Research on Industry Development Path Planning of Resource-Rich Regions in China from the Perspective of “Resources, Assets, Capital”“. Sustainability 13, Nr. 7 (02.04.2021): 3988. http://dx.doi.org/10.3390/su13073988.
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The development of industries in China’s resource-rich regions is mainly affected by resource reserves, environmental protection, and industrial structural adjustment. The development of resource-oriented industries that can’t support a high-quality regional economy is large but not well developed. This article considers China’s resource product imports and exports, carbon emissions, and industrial structure ratio factors in recent years. It is believed that China’s resource-rich regions have macro-level development bottlenecks, and the general development of a resource-based industries path is proposed based on the perspective of “resources, assets, and capital”. Taking Guangxi Zhuang Autonomous Region as an empirical case, this article analyzes the pattern of regional industrial development by using the input-output method, calculates the degree of inter-industrial correlation, and constructs a regional industrial development system. The results show the following: 1. China’s overall industrial development pattern has undergone major changes; 2. emerging industries and service-oriented industries have risen in development status, and although resource-based industries have a weaker development momentum, they still have an important position; 3. the hierarchical industry development management model is helpful for forming a regional circular economy innovation development pattern. The results also indicate that the integrated management of “resources, assets, and capital” has a positive effect on the development of resource-based industries in resource-rich regions, which affects the overall industrial development pattern of the region and promotes economic development.
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Chai, Yi, Xueqin Lin und Dai Wang. „Industrial Structure Transformation and Layout Optimization of Beijing-Tianjin-Hebei Region under Carbon Emission Constraints“. Sustainability 13, Nr. 2 (12.01.2021): 643. http://dx.doi.org/10.3390/su13020643.
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To address the issue of global warming, there is a trend towards low-carbon economies in world economic development. China’s rapid economic growth and high carbon energy structure contribute to its large carbon emissions. To achieve sustainable development, China must transform its industrial structure to conserve energy, reduce emissions, and adapt to climate change. This study measured the carbon entropy and carbon emission efficiency of 25 industries in the Beijing-Tianjin-Hebei region from 2000 to 2015 by building carbon entropy models and total factor industrial carbon emission efficiency evaluation models. The study showed that: (a) Priority development industries in the Beijing-Tianjin-Hebei region were expanding, the regional competitiveness of the moderate development industry was improving, and the proportion of restricted development industries had dropped significantly; (b) the spatial distribution of the three types of industries presented a pattern of concentric rings, with priority industries at the core, surrounded by moderate, then by restricted development industries; (c) the status of medium- and high-efficiency industries had improved, while the status of low-efficiency industries had decreased. Spatially, high- and low-efficiency industries were becoming concentrated, and medium-efficiency industries were becoming dispersed; (d) considering carbon entropy and carbon emission efficiency, the path of industrial structure transformation and upgrading and layout optimization in Beijing-Tianjin-Hebei region was proposed.
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Tong, Guang Ji, und Cun Gui Li. „Study on Urban-Rural Industrial Distribution Based on Classification of Factor-Intensive Industries“. Applied Mechanics and Materials 121-126 (Oktober 2011): 1540–44. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.1540.
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Balance development of urban and rural industries has become important foundation and momentum of forming a new pattern that integrates economic and social development in urban and rural areas, and the main way to optimize the urban and rural industrial structure in our country. Reasonable division and distribution of urban-rural industrial play an important part in promoting coordinated development of urban and rural industries. By setting indexes and using cluster analysis method, the factor intensity of thirty-eight industries was divided. According to the aggregation of urban space and dispersivity of rural space, this paper confirm that the knowledge intensive industries and capital intensive industries should be distributed in urban areas preferentially , and the labor intensive industries and land intensive industries should be distributed in rural areas preferentially.
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Qiu, Ruzhi, Yingxia Li, Zhifeng Yang, Chunhui Li, Jingshan Yu und Jianghong Shi. „A waste load allocation method based on unfairness factors and its application in the Zhangweinan Watershed, northern China“. Water Science and Technology 62, Nr. 1 (01.07.2010): 58–67. http://dx.doi.org/10.2166/wst.2010.278.
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A waste load allocation method was developed for industrial wastewater management based on unfairness factors, an industrial allocation factor and pollution reduction discounts. Three unfairness factors were defined to assess the relative efficiencies of energy consumption, pollution discharge and waste treatment costs for different industries. The overall effect of these factors was described by an industrial allocation factor. Based on the values of these factors, industries were classified into three types, after which waste load allocation proportions among different industries were determined using different pollution reduction discounts. This waste load allocation method was then applied in the Zhangweinan Watershed, which is one of the most seriously polluted watersheds in northern China. The results revealed that extractive, mechanical and food industries comprise the type I industries, which had the lowest pollution reduction discounts of 0, 0.25 and 0.5, respectively. The metallurgical industry and other industries were characterized as type II and discounts of 0.5 and 0.6 were given to their primary reductions. Textile, pharmaceutical, oil and pyrogenic, chemical and paper industries were classified as type III industries and had a waste load reduction of more than 80% of the pollution discharge in 2004.
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Yao, Liming, Lu Zhao, Li Pan und Xudong Chen. „Optimal water resource allocation based on stability – considering the correlation between water consumption and output value in different industries“. Water Supply 20, Nr. 7 (09.07.2020): 2499–513. http://dx.doi.org/10.2166/ws.2020.148.
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Abstract When multiple industries share a river, they compete for available water resources. In order to settle conflicts and ensure industrial stability, it is important for river basin managers to develop a water allocation plan. In addition, there is a correlation between water demand and output in different industries, which affects water allocation plans. From the perspective of river basin government, this paper constructs a flow distribution model among the three major industries of industry, agriculture, and service. River basin government allocates water resources to the stability of the three major industries. The water consumption of various industrial sectors is centered on their own vital interests. Different industries have different characteristics and restrictions on water consumption. The study also considers transactions in different industries on the water market, using dynamic programming methods to simulate this water allocation. This allocation model is different from the traditional industrial water allocation model, and considers the correlation between the water demand and output value of different industries. The results show that a reasonable understanding of the interrelationships between industries will be more helpful to decision makers and a fundamental guarantee for sustainable use of water resources.
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Janah, Rohmatul, und Ida Nuraini. „Pengaruh Industri Sedang dan Besar Terhadap Tingkat Kemiskinan di Kabupaten Gresik Tahun 2002-2016“. Jurnal Ilmu Ekonomi JIE 4, Nr. 1 (08.04.2021): 25–31. http://dx.doi.org/10.22219/jie.v4i1.9253.
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This research is aimed at studying the influence of medium and large industries on poverty levels in Gresik on 2002-2016. The variables used in this study is medium and large industries, a labour of medium and large industries, gross regional domestic product (GRDP) of industrial sector and poverty rate. The method used in this study used multiple linear regression and used time-series data. The results of this study simultaneously are the variables of the amount of medium and large industries, the labour medium and large industries, and the gross regional domestic product (GRDP) of the industrial sector to poverty rate is significant. While medium and large industries to poverty rate have negative and insignificant effect with a coefficient value of -0,208905. The labour of medium and large industries to poverty rate has a positive and significant effect with a coefficient value of 0,130822, the gross regional domestic product (GRDP) of industrial to poverty rate has a negative and significant effect with a coefficient value of -0,169431.
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Park, Geonwoo, und Sungil Yoon. „A Study of Regional Industry Structure and Regional Economy Growth: Implications for National Balanced Development Policy Strategies“. Korean Association of Governance Studies 32, Nr. 4 (31.12.2022): 101–29. http://dx.doi.org/10.26847/mspa.2022.32.4.101.
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This study analyzes the regional industrial structural characteristics and economic development at the local level in Korea. The local economy can grow by increasing the input of production factors (e.g., capital, labor, and productivity). Productivity can occur through knowledge diffusion and technological innovation, which are closely related to local industries. The development of industries in the region has continued following the central government's industrial policy, and regional economic growth has been pursued through priority fostering strategic initiatives in the region. In this regard, previous studies have been analyzed, focusing on the specificity and diversity of local industrial structures. This study aims to policy implications by examining how diversity or differentiation of industries in the region has a relationship with economic growth and estimating the degree of specialization of industries. The study results show a higher economic growth rate as local industries vary, suggesting similar results to previous studies. This shows a similar pattern in both industries and manufacturing industries. The results can positively contribute to making implications for the policy strategy of regional industry policies.
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Bajpai, Shrish, und Shagil Akhtar. „Industrial Engineering Education in India“. Comparative Professional Pedagogy 7, Nr. 3 (26.09.2017): 84–92. http://dx.doi.org/10.1515/rpp-2017-0040.
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Abstract The industrial revolution can be termed as the catalyst of human growth. The establishment of various industries has been detrimental to the meteoric rise of any commodity, product or service across the world. Industries fuel the economy of countries and form the main constituent of their GDP. Industries not only generate the production of the market ready material but also generate the employment for the citizens of the country, which drives multiple factors of any country progress. In order to keep the industries thriving, we need commendable industrial engineers who have not only the skills of a technician but also as a manager to run the plant successful. Indian Government initiative “Make in India” to establish the industries in India, will not be successful without the capable Industrial Engineers. This paper focuses on the engineering education structure of India with regard to Industrial Engineering from diploma level to post doctoral level and assesses how our education system is incubating future industrial engineers. We have made some suggestions why this engineering discipline should be offered as a regular engineering discipline in India and highlighted the contribution of the Indian government to this discipline. We have given a brief view on the comparative status of industrial engineering with other countries and provided the suggestions to improve the industrial engineering education in India. Thus, Industrial Engineering plays a pivotal role in the field of engineering for the proper development of industries in any nation. Indian government’s initiatives in laying the framework of the industries for those commodities, which India is purchasing from the other parts of the world since independence is praiseworthy. These production plants across the country will see the advantage in the manufacturing and production engineering. Present scenario of industrial engineering education seems in its premature stages in India. With a mere number of colleges offering this stream in undergraduate studies leaves a chasm to be filled promptly in near future. Although the platform set in India regarding industries at present gives a kick start for employment and research opportunities in Industrial Engineering.
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Sababhi, Safa. „S. Industrial Clusters in Al-Hassan Industrial Estate Study in Economic Geography“. Advances in Social Sciences Research Journal 7, Nr. 7 (02.08.2020): 686–95. http://dx.doi.org/10.14738/assrj.77.8184.
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The industrial estates represent the most prominent forms of support provided by the state to the industrial sector by achieving external savings that support the establishment and continuation of industries. The successive Jordanian governments seek to support the industrial sector and provide it with all forms of incentives in order to improve the growth of the Jordanian economy and providing job opportunities. Therefore, they established (6) industrial estates distributed all over the Kingdom’s governorates. However, these industrial clusters are still working within the classic classical conception of clustering, as a place for grouping industries, and were unable to switch to the concept of industrial clusters resulting from interaction and integration between industries, while the industrial clusters turned to be a development strategy leading to the growth and development of industries. So, this study aimed to find out if the industries in the Industrial City of Al-Hassan Industrial Estate managed to shift from the traditional concept of clustering to the concept of cluster, and to know the reasons preventing this transformation. The study adopted the descriptive analytical approach and the qualitative analysis of the data collected through the study tool (the questionnaire). The study concluded that the industries in Al-Hassan Industrial Estate were unable to transform into a cluster based on interaction and exchange, and the interaction between factories and the local community represented by academic institutions is at its lowest levels. Therefore, the study recommends restructuring the industrial estates and technology areas in the Kingdom to shift from the traditional role of the industrial cluster to the modern concept.
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سعيد, حيدر. „Industry in the city of Tennis (230-588 AH / 845-1192 AD) - a historical study -“. Kufa Journal of Arts 1, Nr. 22 (31.05.2015): 409–46. http://dx.doi.org/10.36317/kaj/2014/v1.i22.6486.
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Tennis is one of the most prominent industrial cities in Islamic Egypt during the period extending from the third century AH until the end of the sixth century AH, as it was characterized by many industries, especially shipbuilding, ceramics, pottery and glass industries, metallurgy, weapons industry, and industries based on agricultural products. Its industries at all are the textile industry, as Tennis was known as an industrial city through its famous textiles, especially linen textiles such as drinking, dubiqi, and poklamoun.
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Xiang, Weili, Kunlin Zhu, Brian Sheng-Xian Teo und Mohd Talib Zunirah. „Development Experience and Future Prospects of the Integration of Three Rural Industries in China“. Asian Journal of Social Science Studies 7, Nr. 6 (01.06.2022): 98. http://dx.doi.org/10.20849/ajsss.v7i6.1214.
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The development of rural areas cannot be separated from the support of industries, while the integration of three rural industries is the direction of rural industrial development. Developed countries have achieved new rural development through the integration of three rural industries. China has achieved a comprehensive victory in poverty eradication, and the integration of rural three industries has played an important role in promoting it. Further promoting the integration of the three rural industries is an important grasp of bridging poverty eradication and rural revitalization. Therefore, sorting out the theories and practices of industrial integration at home and abroad and summarizing their experiences can, on the one hand, provide support for improving the evaluation dimension of rural industrial integration, deepening the research on the mechanism of the Integration of Three Rural Industries, and strengthening the research on the driving mechanism and influencing factors, and on the other hand, provide a theoretical basis and a practical basis for the implementation of rural revitalization.
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ROCHA, ROBERTA DE MORAES, und JOSÉ EWERTON SILVA ARAÚJO. „The dynamics of industrial geographic distribution: evidence from Brazil (2002-2014)“. Brazilian Journal of Political Economy 41, Nr. 4 (Dezember 2021): 760–81. http://dx.doi.org/10.1590/0101-31572021-3112.
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ABSTRACT The geographical distribution of Brazilian industries changed between 2002 and 2014, and it was more significant for some industries. Based on Dumais et al. (2002), we explore the dynamics of these changes by a decomposition of the employment variation and concentration index for manufacturing industries grouped by technological intensity, and we identify the direction of the locational movements of the firms among microregions. In general., the results indicate that between 2002 and 2014, there was a trend of convergence among the microregions’ participation in industrial employment, contributing to industrial deconcentration in the country, with the exception of the group of high-technology industries, which became more concentrated. Components of the life cycle of industries, especially the growth of employment generated by new industries in non-metropolitan microregions, are identified as main propelling of this evidence. In general., the results are consistent with the importance of agglomeration economies over historic accidents to explain the industrial concentration in Brazil between 2002 and 2014.
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Nwokocha, Victor Chukwunweike, und Patrick Onochie Okonta. „Production subcontracting and the distribution of industrial activities in Onitsha metropolis Anambra State, Nigeria“. African Social Science and Humanities Journal 3, Nr. 1 (03.01.2022): 14–25. http://dx.doi.org/10.57040/asshj.v3i1.77.
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Abstract Subcontracting is becoming increasingly significant and important in today's economic world. It emphasizes the importance of improved collaboration, coordination, and adaptability among production entities such as industries, businesses, and institutions. Although production subcontracting has sparked a lot of debate on a broad level, there has been relatively little research done on it in terms of industrial activity. This paper analysed the role of production subcontracting in the distribution of industrial activities in Onitsha Metropolis, Anambra State, Nigeria. While the study adopted a survey research design and a questionnaire survey of 115 industries, charts, percentages and tables were used to show results. The result of the study showed that 49.9% of the industries subcontracted manufacturing activities, while 26.7%, 5% and 1.7% of the surveyed industries subcontracted maintenance, technical development and distribution/marketing industrial activities respectively. The paper recommended that production subcontracting be made a deliberate government policy so as to propel the growth of service industries/subcontracting industries in Nigeria.
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Alibekova, Gulnaz, Farida Alzhanova, Zhasym Osmanov und Akedil Omarov. „Regional specialization and diversification of industries in Kazakhstan“. Journal of Eastern European and Central Asian Research (JEECAR) 10, Nr. 5 (02.09.2023): 898–906. http://dx.doi.org/10.15549/jeecar.v10i5.1096.
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This research aims to assess the degree of specialization and diversification in the regions of Kazakhstan. The method of calculating the location quotient is used to determine the degree of specialization of the regions. The industrial location quotient for three periods - 2010, 2015, and 2019 - is calculated to observe the dynamics of specialization of industries in the regions. The research identified sustainable, unstable, fading, and emerging. The degree of industrial diversification in the region is determined based on the number of sustainable industries in the region. The categorization of industries according to the dynamics of specialization makes it possible to apply various mechanisms and ways to recover fading industries and support unstable and emerging industries. The research results can be used in designing Kazakhstan's regional industrial and innovation policies.
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Pal, Samidh. „Measuring the Industrial Concentration and Regional Specialisation of Major Indian Industrial States“. Indian Economic Journal 67, Nr. 3-4 (Dezember 2019): 216–32. http://dx.doi.org/10.1177/0019466220946330.
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This article analyses the influence of industrial disparity and centralisation (concentration) on major industrial states in India. Accordingly, we are using two mathematical models: (a) localisation coefficients to identify major industries that are suffering by industrial concentration and (b) location quotient to measure regional industrial specialisation. Consequently, it shows the natural tendency of distribution of industries in a particular way between the six major Indian industrial states. Therefore, we determine the reasons for lack of industrialisation within those states. Afterwards, this research helps to understand that those regions are either little specialised regions or concentrated with few industries. Especially, policy makers can easily equally distribute through location quotient and localisation coefficient, all manufacturing industries in all six regions. Moreover, this research can reduce the tendency of lack of industrialisation.
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Li, Yingbo, Yan Li, Zhen Lei und Qiuya Liu. „Are Innovation Output and Economic Output Strongly Related in Emerging Industrial Clusters? Evidence from China“. European Scientific Journal, ESJ 14, Nr. 22 (31.08.2018): 255. http://dx.doi.org/10.19044/esj.2018.v14n22p255.
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For many countries, innovation-driven development has become a prevalent consensus because innovation can effectively stimulate economic growth. Emerging industries are innovation-intensive with high potential economic benefit. However, is it assured that high innovation output means high economic benefit? In October of 2010, China State Council initiated the Decision of Speeding up Cultivation and Development of Strategic Emerging Industries, signifying top-down policy mobilization to advance emerging industries. According to seven types of emerging industries defined in the Decision, we collected data from official industrial databases to figure out spatial divergence of emerging industries in terms of innovation output and economic benefit over the years from 2000 to 2011. We construct twodimension scatter diagrams based on number of granted patents as the indicator of innovation output and industrial locational quotient as the indicator of industrial economic benefit. The result shows that China has seen preliminary spatial clustering of key emerging industries across regions and industries in the light of innovation output and economic benefit. However, not all regions with high innovation output have high economic benefit. The spatial divergence is closely related to region-specific and industry-specific characteristics. We offer policy implications to facilitate targeted emerging industries with more detailed policy and regional endowment.
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Hu, Yiqin, Huyue Yu und Qiaoyu Chen. „Digitalization Driving High-Quality Converged Development of Rural Primary, Secondary, and Tertiary Industries: Mechanisms, Effects, and Paths“. Sustainability 15, Nr. 15 (28.07.2023): 11708. http://dx.doi.org/10.3390/su151511708.
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The convergence of rural primary, secondary, and tertiary industries is an effective way to establish a modern rural industrial system. The digital transformation of rural industries is a new idea to promote high-quality converged development. This paper focuses on the converged development of China’s rural industries, trying to explore the impact of digitalization on the high-quality converged development of China’s rural industries. Firstly, the mechanisms of digitalization driving rural industrial convergence are revealed. Secondly, we use panel data of 30 provinces (autonomous regions, municipalities) in China from 2011 to 2020 to empirically test the impact of digitalization on rural industrial convergence. Finally, considering the regional differences in industrial structure, the non-linear impact of digitalization on rural industrial convergence is examined. The results indicate digitalization has a significant positive effect on rural industrial convergence, and the impact of the latter has a dual threshold effect with regional heterogeneity based on industrial structure. Therefore, it is suggested to accelerate the construction of digital infrastructure, strengthen digital application, promote regional coordinated development, and improve the institutional system, which are expected to contribute to a deeper connection between digitalization and rural industries.
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Xiaohong, Li, und Gou Wenqian. „Research on the Countermeasures of Collaborative Innovation in China’s Strategic Emerging Industries“. E3S Web of Conferences 292 (2021): 03042. http://dx.doi.org/10.1051/e3sconf/202129203042.
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Collaborative innovation is an effective way to promote the development of strategic emerging industries, enhance industrial competitiveness, and promote economic development. This article combines the development status of strategic emerging industries and the status of collaborative innovation in strategic emerging industries, and proposes mechanisms and countermeasures to promote collaborative innovation in strategic emerging industries. The research results are of great significance for enhancing the collaborative innovation capability of strategic emerging industries and promoting the development of strategic emerging industries.
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Farzadkia, Mahdi, Sahand Jorfi, Mashaallah Nikzad und Shahram Nazari. „Evaluation of industrial wastes management practices: Case study of the Savojbolagh industrial zone, Iran“. Waste Management & Research 38, Nr. 1 (23.08.2019): 44–58. http://dx.doi.org/10.1177/0734242x19865777.
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The main objective of this research was to investigate the waste characteristics and management activities in the Savojbolagh industrial zone, Iran, in order to rank the active industries from environmental perspectives using an innovative index. First, the industrial categories with over 50 employees were identified and classified according to their production process. Then, 54 industries were selected and all industrial processes, the types and quantities of products, per capita industrial waste generation, physical analysis and management activities in terms of minimisation, storage, processing, recycling and disposal were evaluated. The required data were obtained through questioners, interviews and field observations. A scoring system was prepared for evaluation of environmental status of waste management practices. Results indicated that the total industrial waste generation rate was 67,258 kg d-1, in which 4528 belonged to hazardous waste. Furthermore, the per capita waste generation rate was 5.51 kg d-1. Plastic, paper and cardboard and metals constituted the most fractions of wastes, respectively. Food and beverage, metallic and chemical/plastic industries were the biggest waste generators. Metallic industries with total score of 502.5 and non-metalic-mineral industries with the total score of 114 were categorised as the best and worst industries in terms of waste management practices.
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Zheng, Jiliang, Yonghui Li, Manwen Tian und Ruxian Li. „Research on the Continuous Innovation Driving Mechanism of the Transformation and Upgrading of Traditional Industries“. Scientific Programming 2022 (24.09.2022): 1–13. http://dx.doi.org/10.1155/2022/8957528.
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Innovation-driven transformation and the upgrading of traditional industries is an important task in the present. This paper attempts to further study the existing basis. Based on the perspective of continuous innovation driving, this paper divides the transformation and upgrading of traditional industries into two stages, namely, industrial transformation and industrial upgrading, using the interprovincial data from 2008 to 2019, OLS, HAUSMAN, and SYS-GMM. This paper analyzes the macro- and micromechanism driven by continuous innovation in the transformation and upgrading of traditional industries. The results show that in the macromechanism, the innovation drive has a significant positive effect on the transformation of traditional industries but not on the upgrading of industries, entrepreneurship, network capability, and organizational learning, which significantly affect the transformation and upgrading of traditional industries.
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Wang, Yile, Junmiao Deng, Brian Sheng-Xian Teo und Adam Amril Jaharadak. „Health poverty, educational capital and industrial integration of rural households“. International journal of health sciences 6, Nr. 3 (28.09.2022): 1452–67. http://dx.doi.org/10.53730/ijhs.v6n3.13031.
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Industrial integration provides an important tool to promote the revitalization of rural industries and is an effective way to promote sustainable income growth for farmers and to build a well-off society. The main implementer of rural industrial integration are individual farmers. The fundamental state of life of the farm households determines the implement ability of industrial farming cooperation. The development of rural industries has played an irreplaceable role in the process of poverty eradication in China. Promoting the integration of the three rural industries can play an important role in consolidating the fight against poverty and bridging the stage of rural revitalization to continuously play a role in the development of rural industries and lay the foundation for the smooth implementation of rural revitalization. Whereas human capital was one of the important perspectives in studying the integration of three rural industries, the relationship between human capital in education and the integration of three rural industries was empirically analyzed based on data from the China Household Tracking Survey (CFPS). With the help of a Random Forest model algorithm, the importance of key elements affecting the integration of rural industries was measured and ranked.
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Chu, Jie, und Anuj Kumar. „Assessment of wood industrial pollutants based on emission coefficients in China“. Holzforschung 74, Nr. 11 (26.11.2020): 1071–78. http://dx.doi.org/10.1515/hf-2019-0201.
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AbstractThe implementation of circular economy in wood industries is an effective way for future sustainable development. The wood industries in China are not in the direction of circular economy approach due to less availability of assessment/calculation data of pollutants as per life cycle assessment (LCA) criteria. The present study focuses on the calculation of emission and pollutants from wood industries as per LCA; the emission and pollution data were collected from fiberboard Medium-density fiberboard (MDF), plywood and particleboard (PB) production. The comparative analysis of dust emissions, industrial waste gases and chemical oxygen demand (COD) were performed among three wood industries. The results revealed that the fiberboard industry was the highest emitter of dust, industrial waste gas and COD; and particleboard industry was the least emitter. Further, results indicated that pollutant index of wood industries were significantly changed between 2015 and 2017; the industrial waste water discharge increased five folds and the COD, dust and industrial gases increased two times. This study provides with the emission and pollutants data of wood industries as per LCA to promote the sustainable development for circular and low carbon economics.
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Kwon, Sein, und Su-Ji Cho. „Competitive Analysis of Regional Innovation Cluster Fostering Industry Using Location Quotient and Growth Rate Differential Analysis: Focused on National Innovation Clusters in 14 Cities and Provinces“. Korea Association for International Commerce and Information 25, Nr. 3 (30.09.2023): 23–47. http://dx.doi.org/10.15798/kaici.2023.25.3.23.
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The purpose of this study is to provide implications for a differentiated approach to regional industrial growth by analyzing industrial agglomeration and growth potential for specialized industries in 14 cities and provinces. The results of the LQ and GRD based on the KOSIS data ('16~'19) are as follows. First, the degree of agglomeration of specialized industries differed by region. In particular, the concentrations that are linked to the past industrial characteristics of the region or have representative industries were high. Second, the results of the GRD also showed significant differences in the growth potential of specialized industries in the cluster. In some regions, the geographical agglomeration of specialized industries by region was low, but it was confirmed that there were many industries with high growth potential through a relative comparison of industrial growth trends. Third, through matrix analysis, a portfolio capable of efficient and effective decision- making for the establishment of innovative clusters was derived. This study suggests the application of appropriate methodologies to measure cluster performance, such as interaction- based network analysis, and the need for discriminatory policies that take into account the regional characteristics of clusters.
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SOROOSHIAN, Shahryar, und Shrikant PANIGRAHI. „Impacts of the 4th Industrial Revolution on Industries“. Walailak Journal of Science and Technology (WJST) 17, Nr. 8 (01.08.2020): 903–15. http://dx.doi.org/10.48048/wjst.2020.7287.
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The leap of technology has led to a paradigm shift called the “industrial revolution”. Industry 4.0 is the fourth industrial revolution which implemented the philosophy of cyber-physical systems, internet and future-oriented technologies, and smart systems with promoted human-machine interaction paradigms. The emergence of Industry 4.0 was introduced to the world as a new trend to improve working surroundings in industries and solve the problems faced by the industries. There is a limited information about Industry 4.0 and not every person understands the real meaning of Industry 4.0. Thus, the objective of this review paper is to identify the possible impacts of Industry 4.0 on manufacturing industries which will encourage more organizations to adopt Industry 4.0.
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Karlsson, Charlie. „Spatial Industrial Dynamics in Sweden: Urban Growth Industries“. Growth and Change 30, Nr. 2 (Januar 1999): 184–212. http://dx.doi.org/10.1111/0017-4815.00110.
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Louwrier, Ariel. „Industrial Products - the Return to Carbohydrate-Based Industries“. Biotechnology and Applied Biochemistry 27, Nr. 1 (Februar 1998): 1–8. http://dx.doi.org/10.1111/j.1470-8744.1998.tb01368.x.
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WEBSTER, THOMAS J. „MALAYSIAN ECONOMIC DEVELOPMENT, LEADING INDUSTRIES AND INDUSTRIAL CLUSTERS“. Singapore Economic Review 59, Nr. 05 (09.11.2014): 1450044. http://dx.doi.org/10.1142/s0217590814500441.
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This paper briefly reviews six decades of Malaysia's economic development strategy, which may be described as bounded industrial policy that favors export-led growth. The objective of the current Tenth Malaysia Plan (2011–2015) is to achieve high-income status by 2020 by promoting high-value-added production through increased investments in human capital, adopting new technologies, promoting entrepreneurship to drive innovation and creativity, and elevating domestic demand as an engine of economic growth. Principal components analysis (PCA) and medoid partitioning applied to inflation-adjusted industrial production suggests that Malaysia satisfies the necessary, although not necessarily the sufficient, conditions to achieve this goal.
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Yu, Wentao. „Creative industries agglomeration and industrial efficiency in China“. Growth and Change 49, Nr. 4 (23.08.2018): 677–95. http://dx.doi.org/10.1111/grow.12255.
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MATHEWS, JOHN A. „Designing Energy Industries for the Next Industrial Revolution“. Organizational Dynamics 39, Nr. 2 (April 2010): 155–64. http://dx.doi.org/10.1016/j.orgdyn.2010.01.008.
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Lipsey, Richard G. „Sources of Industrial Leadership: Studies of Seven Industries“. Research Policy 30, Nr. 8 (Oktober 2001): 1350–52. http://dx.doi.org/10.1016/s0048-7333(00)00154-2.
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Yamamoto, Shuji. „Japan's new industrial era— I. Restructuring traditional industries“. Long Range Planning 19, Nr. 1 (Februar 1986): 61–66. http://dx.doi.org/10.1016/0024-6301(86)90129-9.
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Müller, Kathrin, Christian Rammer und Johannes Trüby. „The role of creative industries in industrial innovation“. Innovation 11, Nr. 2 (August 2009): 148–68. http://dx.doi.org/10.5172/impp.11.2.148.
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Jänicke, Martin, Manfred Binder und Harald Mönch. „‘Dirty industries’: Patterns of change in industrial countries“. Environmental & Resource Economics 9, Nr. 4 (Juni 1997): 467–91. http://dx.doi.org/10.1007/bf02441762.
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Kamil, Insannul, Rika Ampuh Hadiguna, Berry Yuliandra und Aulia Rahman. „Desain Strategi Peningkatan Daya Saing Industri Pengolahan Makanan Ringan Berbasis Klaster di Sumatera Barat“. Jurnal Optimasi Sistem Industri 15, Nr. 2 (17.02.2017): 227. http://dx.doi.org/10.25077/josi.v15.n2.p227-241.2016.
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Food processing industries have grown in the region of West Sumatra since a few decades ago. The processing of various types of food recipes from various West Sumatra region comes from inheritance hereditary. Snack is a processed food product that has a special attraction among various types of distinctive food from West Sumatra. Increasing competitiveness is necessary to accelerate the growth of small and medium snacks industries in West Sumatera. Industrial cluster development is one of the strategic and effective approaches to achieve that objective. The research aims to design value chain and industrial cluster map model of small and medium snacks industries in West Sumatra. Industrial cluster mapping carried through: defining the value chain, a grouping of factors influence the level of internal and external factors, factors condition processing, grouping factor conditions into the four elements of SWOT, strategy planning using SWOT Matrix, and creating industrial cluster map of snacks industries in West Sumatra. The results showed that there are 7 internal factors and 6 external factors that can influence the competitiveness of small and medium snacks industries in West Sumatra. The value chain of snack industry in West Sumatra includes tuber farmers, traditional market, special suppliers, small and medium snacks industries, and consumers. The study also generates 10 programs centered on small and medium snacks industries in West Sumatra as a core industry.