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Journal articles on the topic 'City agglomeration'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Zhong, Yanfen, Yuqi Chen, and Jiawei Qiu. "Study on the Spatial Structure of the Complex Network of Population Migration in the Poyang Lake Urban Agglomeration." Sustainability 15, no. 20 (2023): 14789. http://dx.doi.org/10.3390/su152014789.

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Population constitutes the foundational element of cities, and population migration drives the transfer of production factors among urban areas. The population migration network serves as an objective representation of intercity interactions, bearing great significance for the analysis of urban network spatial structure. This study focuses on the 10 core cities within the Poyang Lake urban agglomeration. It utilizes population migration data from Tencent’s location-based big data spanning from 2015 to 2018. Employing the point-axis theory from spatial network theory and the directed weighted n

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2

Wang, Yuming. "Goal orientation and action path of eco city cluster construction." Eco Cities 1, no. 1 (2020): 16. http://dx.doi.org/10.54517/ec.v1i1.1821.

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<p>Eco urban agglomeration is a highly harmonious compound ecosystem between man and nature, and a highly cooperative regional environmental community among environmental actors. The goal of eco city cluster construction is to optimize the overall function of regional ecosystem, improve the service quality of ecosystem, and form a highly unified urban aggregate of ecological space, ecological environment, ecological economy and ecological society. The action path of eco urban agglomeration construction is to innovate the system and mechanism of regional environmental governance, realize

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3

Shaimardanova, Valeriya. "Cartographic support for the tasks of defining the boundaries of an urban agglomeration." InterCarto. InterGIS 30, no. 2 (2024): 556–66. https://doi.org/10.35595/2414-9179-2024-2-30-556-566.

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Urban agglomeration in the modern context of urbanization is becoming one of the key forms of population settlement. However, the issue of accurately identifying the boundaries of the urban agglomeration remains open. The problems reflected in this scientific study are based on a variety of approaches and methods to determine the boundaries of emerging agglomerations, which leads to discrepancies and difficulties in organizing administrative and managerial measures for the development of the territory. The article is devoted to the development of cartographic support for solving the problem of

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4

Han, Jing, Ming Gao, and Yawen Sun. "Research on the Measurement and Path of Urban Agglomeration Growth Effect." Sustainability 11, no. 19 (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

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5

Opanasiuk, Yu. "METHODOLOGICAL FUNDAMENTALS OF INVESTMENT EVALUATION ATTRACTIVENESS OF THE CITY RECREATIONAL COMPLEX AGGLOMERATION." Vìsnik Sumsʹkogo deržavnogo unìversitetu, no. 1 (2020): 16–24. http://dx.doi.org/10.21272/1817-9215.2020.1-2.

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The article is devoted to the concept of " investment appeal". The evaluation of attractiveness of recreational facilities in urban areas for investors is considered. The author gives an author's interpretation of the investment appeal of the recreational sector. The investment appeal of the recreational sector is an integral characteristic of the individual objects of recreation and market infrastructure, conditions of activity and risks, which will lead to the achievement of the goals of the investor. The basic methods of estimation of investment appeal are considered in the article. The aut

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Zhao, Xinzheng, Jing Su, Jing Chao, et al. "The Character and Economic Preference of City Network of China: A Study Based on the Chinese Global Fortune 500 Enterprises." Complexity 2020 (September 28, 2020): 1–11. http://dx.doi.org/10.1155/2020/4312578.

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Based on the data of Chinese enterprises that entered the Fortune 500 list in 2015, this paper utilizes the eclectic model to construct the inter-city association network. Using the network analysis method, the spatial connection characteristics of 311 inter-city networks at prefecture level and above and 20 urban agglomerations networks in China are examined, respectively. The research found the following: (1) the overall connectivity of city network is poor, the centripetal concentration is strong, and the network is not complete. The city network structure shows three tendencies, with a con

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7

Runge, Anna. "Urban agglomerations and transformations of medium-sized towns in Poland." Environmental & Socio-economic Studies 4, no. 3 (2016): 41–55. http://dx.doi.org/10.1515/environ-2016-0017.

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Abstract This analysis investigates medium-sized towns in Poland, i.e. those with a population between 20–100 thousand, located up to 100 km away from the main city of the agglomeration. The aim of this article is to compare the level of socio-economic development of Polish towns depending on their location in relation to the main city in the largest agglomerations in 1998 and 2013. Three zones of distance from the main city of each agglomeration have been taken into consideration: a. the inner zone, reaching up to 25 km from the main city; b. the outer zone located at a distance of 25 to 50 k

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Luan, Xinyu, Pengcheng Xiang, and Fuyuan Jia. "The Interconnectivity and Spatio-Temporal Evolution of Rail Transit Network Based on Multi-Element Flows: A Case Study of Beijing-Tianjin-Hebei Urban Agglomeration, China." Land 13, no. 2 (2024): 249. http://dx.doi.org/10.3390/land13020249.

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For intercity transportation within urban agglomerations, rail transit interconnectivity not only stimulates city-to-city interactions but also facilitates the networking of urban spaces. Crucially, comprehending the spatial network of urban agglomerations needs a focus on rail transit interconnectivity. Drawing on the space of flows theory, this study establishes a framework to evaluate rail transit interconnectivity and the spatial structure of urban agglomerations, utilizing the Beijing-Tianjin-Hebei urban agglomeration as a case study. The objective of this study is to explore the impact o

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9

Li, Jiao, Yongsheng Qian, Junwei Zeng, Fan Yin, Leipeng Zhu, and 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, no. 18 (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, th

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10

Zhang, Bin, Jian Yin, Hongtao Jiang, and Yuanhong Qiu. "Application of Social Network Analysis in the Economic Connection of Urban Agglomerations Based on Nighttime Lights Remote Sensing: A Case Study in the New Western Land-Sea Corridor, China." ISPRS International Journal of Geo-Information 11, no. 10 (2022): 522. http://dx.doi.org/10.3390/ijgi11100522.

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Nighttime lights remote sensing has a significant advantage in exploring the economic development of cities. Based on nighttime lighting data, this study employed spatial direction analysis, exploratory spatial data analysis, and social network analysis to explore the spatial characteristics of economic development and analyzed the economic connection network structures within urban agglomerations in the New Western Land-sea Corridor (NWLSC) in western China. The results show that the spatial pattern of the Tianshan North slope urban agglomeration, Guanzhong Plain urban agglomeration, and Lanz

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11

Gnatyuk, G. A., Z. F. Degteva, and V. Y. Кuzin. "More on formation of the Yakutsk urban agglomeration." Vestnik of North-Eastern Federal University Series "Earth Sciences", no. 3 (September 21, 2023): 65–72. http://dx.doi.org/10.25587/svfu.2023.31.3.008.

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The 20th century urbanization development processes led to the transition from local urban forms to area formations or agglomerations. They became the prime engine of social and economic development. This is also true for Russia: throughout its history, cities have been the centres of its spatial organization. The transition to market economy has actualized the problems of agglomerations research in Russia: they are the basis for the formation of regional and national competitiveness. At this time, a number of agglomerations has been studied in bits and pieces or scarcely researched. One of su

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Rastvortseva, S. N. "An Overview of Investigations Concerning Agglomerations in Regional Economy." Economy of Region 18, no. 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, includ

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13

Chen, Xiong, and Wencui Du. "Too Big or Too Small? The Threshold Effects of City Size on Regional Pollution in China." International Journal of Environmental Research and Public Health 19, no. 4 (2022): 2184. http://dx.doi.org/10.3390/ijerph19042184.

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The relationship between urban agglomeration and environmental pollution was checked using the balanced panel data of 285 cities in China from 2003 to 2016 and applying the fixed-effect model and the threshold effect model. This showed that: (1) the relationship between urban agglomeration (represented by city size) and environmental pollution is not linear but an inverted U-shape. As long as the GDP is less than 800,370 million RMB, the expansion of city size is not conducive to reducing pollutant emissions. When GDP is less than 41,641 million RMB, the influence of city expansion on environm

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14

Zhang, Zhe, and Xiaochang Chu. "Thoughts on Jinan's Establishment of the National Central City of China's Yellow River Basin." Urban Transportation & Construction 6, no. 2 (2020): 21. http://dx.doi.org/10.18686/utc.v6i2.81.

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<p>The national central city is not a single existence, and it must be based on the national-level urban agglomeration. At the same time, it must have superior geographical advantages and rich natural resources as the basis for development. Urban agglomeration promotes national central cities; on the contrary, national central cities can also drive the common development of urban agglomerations. During the National People’s Congress and National Committee of the Chinese People’s Political Consultative Conference this year, Jinan Municipal Government proposed to create a national central

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15

Imantria, Benny. "Economic Growth in Central Java: Does Manufacturing Industry Agglomeration Matter?" Diponegoro Journal of Economics 13, no. 4 (2024): 1–14. https://doi.org/10.14710/djoe.48051.

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The manufacturing industry agglomeration in Central Java has experienced growth and has played an important role in increasing production efficiency. However, Central Java's contribution to Indonesia's GDP (GRDP) has declined, indicating early signs of deindustrialization. This study aims to identify manufacturing industry agglomeration and its effect on economic growth in Central Java. The data sample consists of 490 observations from 35 districts/cities during the period 2010-2023, analyzed using panel data regression with a fixed effects model. This study presents a novelty in the form of i

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16

Kalashnikova, S. K., and M. Y. Pogodina. "Russian agglomerations in the context of territorial identity politics: critical discourse analysis of regional authorities’ speeches." Discourse-P 21, no. 1 (2024): 59–77. https://doi.org/10.17506/18179568_2024_21_1_59.

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The study focuses on territorial identity politics regarding the population of four Russian agglomerations with a megacity core, such as Moscow, St. Petersburg, Krasnodar, and Kazan agglomerations. The conducted analysis resulted in identifying common discursive characteristics among various authorities: they all relate to memory politics when using congratulatory discourse, and highlight the topic of transport networks as the main component of agglomeration development. The authorities of the Moscow agglomeration emphasize innovative and modern side of the city in their discourse, its importa

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17

Khusnutdinova, S. R. "Design of tourist destinations as a factor of strengthening agglomeration processes." Service and Tourism: Current Challenges 17, no. 1 (2023): 39–48. https://doi.org/10.5281/zenodo.7933254.

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<em>The article is devoted to the study of the design of tourist destinations as a factor in strengthening agglomeration processes. Recreational travel is an already studied factor in the formation of urban agglomerations in the industrial age. First of all, we are talking about dachas, recreation centers, school camps. However, now the nature and goals of recreational flows have changed significantly, so that the city core of agglomeration, which has tourism as an industry of specialization, strives to increase time of stay of tourists, including by expanding geography of tourist attractions

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18

He, Li, Jian’ge Tao, Ping Meng, Dan Chen, Meng Yan, and László Vasa. "Analysis of socio-economic spatial structure of urban agglomeration in China based on spatial gradient and clustering." Oeconomia Copernicana 12, no. 3 (2021): 789–819. http://dx.doi.org/10.24136/oc.2021.026.

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Research background: Previous studies on the economic and social development of urban agglomerations mostly focus on a single primacy comparative analysis and efficiency evaluation. Spatial structure differentiation is an important feature of urban agglomeration. The lack of economic and social analysis on the spatial structure makes it impossible to determine the development positioning of each city in the urban agglomeration, which affects the sustainable economic devel-opment ability of these areas. Purpose of the article: The objective of the article is to analyze the spatial develop

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19

Li, Zhigang, Jie Yang, Jialong Zhong, and Dong Zhang. "Assessment of Urban Agglomeration Ecological Sustainability and Identification of Influencing Factors: Based on the 3DEF Model and the Random Forest." International Journal of Environmental Research and Public Health 20, no. 1 (2022): 422. http://dx.doi.org/10.3390/ijerph20010422.

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The evaluation of ecological sustainability is significant for high-quality urban development and scientific management and regulation. Taking the Chengdu urban agglomeration (CUA) as the research object, this paper combined the three-dimensional ecological footprint model (3DEF) and random forest to evaluate the ecological sustainability of the study area and identify the influencing factors. The study results indicate that: (1) From 2000 to 2019, the ecological sustainability of Chengdu urban agglomeration was divided into four types, and the overall ecological sustainability of this region

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20

Kang, Wei, and Nuolin Li. "Air Pollution Control in Ha-Chang City Cluster - Empirical analysis of social networks based on inter-city and inter-governmental perspectives." E3S Web of Conferences 372 (2023): 02009. http://dx.doi.org/10.1051/e3sconf/202337202009.

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Atmospheric pollution has always been an intractable regional problem that requires the cooperation of various cities and departments within a city cluster to achieve good results. As one of the key urban agglomerations in China, the Ha-Chang urban agglomeration is also plagued by the problem of air pollution. With the help of institutional collective action theory and social network analysis, we analyze the current situation of air pollution cooperation in the Ha-Chang urban agglomeration from two perspectives: inter-city cooperation network and inter-governmental cooperation network, and put

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21

Fu, Jielu, Xiao Yu, and Qian Xu. "Standard Radiation: A New Perspective Leading the Coordinated Development of Urban Agglomerations." Sustainability 15, no. 2 (2023): 1282. http://dx.doi.org/10.3390/su15021282.

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With the increased communication among cities, coordinated development between regions has become a common trend. An urban agglomeration is a special spatial structure unit, which becomes an important driving force for the coordinated development of the region through the radiation effect generated by the central city. The existing studies on regional integration have focused more on the economic, financial, and technological innovation radiation effects. However, as an essential tool for economic development, technological progress, and social governance, the standard plays an irreplaceable r

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Wang, Shuoqi, and Zhanzhong Wang. "Collaborative Development and Transportation Volume Regulation Strategy for an Urban Agglomeration." Sustainability 15, no. 20 (2023): 14742. http://dx.doi.org/10.3390/su152014742.

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Transportation plays an important role in urban development and the formation of urban agglomerations. Indexes including urban centrality, urban development intensity, and degree of urban development imbalance are defined to measure the level of urban development, and are taken as the basis for transportation regulation within urban agglomerations. Regulation of transportation volume is divided into static and dynamic regulation, and this paper studies static regulation. There are two purposes for static regulation. One is to solve the problems of unbalanced urban development and collaborative

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Zhang, Zhongwu, and Yuanfang Liu. "Spatial Expansion and Correlation of Urban Agglomeration in the Yellow River Basin Based on Multi-Source Nighttime Light Data." Sustainability 14, no. 15 (2022): 9359. http://dx.doi.org/10.3390/su14159359.

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The Chinese government proposed a major national strategy for ecological protection and high-quality development in the Yellow River Basin. The Framework of the Plan for Ecological Protection and High-Quality Development of the Yellow River Basin proposes building a dynamic development pattern characterized by “one axis, two regions and five poles” in the Yellow River Basin with high-quality and high-standard urban agglomerations along the Yellow River. The urban agglomeration is the economic growth pole of the Yellow River Basin and the main carrier of the population and productivity. This st

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Wang, Wen Yong, Xiao Juan Ma, and Bo Jun Ke. "Study on Sulfur Dioxide Atmospheric Environmental Capacity of Chengdu Urban Agglomeration." Advanced Materials Research 599 (November 2012): 488–95. http://dx.doi.org/10.4028/www.scientific.net/amr.599.488.

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located in the west of Sichuan Basin and composed of Chengdu City, Mianyang City, Deyang City, Ziyang City, and Meishan City, Chengdu urban agglomeration is an area where industry, population and motor vehicles are densely distributed. Therefore, there are acute conflicts between the economic development and atmospheric environmental protection. On one hand, lots of pollutants emitted by industry and motor vehicles enter the atmosphere and adversely affect the environmental air quality. On the other hand, the dense population needs good air quality. Since the current environmental air quality

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25

Bolysbek, M. A., B. B. Byulegenova, and O. Toremuratov. "The formation of urbanization and agglomeration impact on local government." Bulletin of L.N. Gumilyov Eurasian National University. Political Science. Regional Studies. Oriental Studies. Turkology Series 149, no. 4 (2024): 115–31. https://doi.org/10.32523/2616-6887-2024-149-4-115-131.

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This article examines the impact of urbanization and agglomeration processes on the local governance system. The intensive development of urbanization and agglomeration significantly affects the functioning of administrative-territorial structures, the methods of operation of local governance bodies, and their efficiency. The article analyzes mechanisms for addressing local issues within agglomeration boundaries, the necessity of implementing project management, and the importance of interagency coordination. Furthermore, it explores the potential for applying new methods and strategies in dec

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Bolysbek, M. A., B. B. Byulegenova, and O. Toremuratov. "The formation of urbanization and agglomeration impact on local government." Bulletin of L.N. Gumilyov Eurasian National University. Political Science. Regional Studies. Oriental Studies. Turkology Series 149, no. 4 (2024): 83–99. https://doi.org/10.32523/2616-6887-2024-149-4-83-99.

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This article examines the impact of urbanization and agglomeration processes on the local governance system. The intensive development of urbanization and agglomeration significantly affects the functioning of administrative-territorial structures, the methods of operation of local governance bodies, and their efficiency. The article analyzes mechanisms for addressing local issues within agglomeration boundaries, the necessity of implementing project management, and the importance of interagency coordination. Furthermore, it explores the potential for applying new methods and strategies in dec

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Antonyuk, Valentina S., and Daria S. Benz. "The Largest Urban Agglomerations of the Ural Federal District: Comparative Analysis." Bulletin of Chelyabinsk State University 482, no. 12 (2024): 31–43. http://dx.doi.org/10.47475/1994-2796-2023-482-12-31-43.

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The article is devoted to the study of urban agglomeration processes in the territory of the Ural Federal District. The purpose of the article is to assess the development of the largest urban agglomerations of the Ural Federal District. The authors included in the sample three urban agglomerations, the core of which are the capital centers of the constituent entities of the Russian Federation located in the Urals: Yekaterinburg, Chelyabinsk and Tyumen urban agglomerations. The research methods are fundamental research methods (abstraction and generalization, systematic approach, structural an

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Li, Tianle, Xinqi Zheng, Chunxiao Zhang, Ruiguo Wang, and Jiayu Liu. "Mining Spatial Correlation Patterns of the Urban Functional Areas in Urban Agglomeration: A Case Study of Four Typical Urban Agglomerations in China." Land 11, no. 6 (2022): 870. http://dx.doi.org/10.3390/land11060870.

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Urban agglomeration is a higher stage of urban development. Exploring the spatial correlation of functional areas is important for promoting high-quality urban development. However, recently the research on urban functional areas is mainly focused on how to identify urban functional areas, and they lack some methods to analyze the spatial correlation patterns of urban functional areas. Therefore, firstly, this study uses POI data and a deep learning model to identify the urban functional areas of four typical urban agglomerations in China. Then, we create a new method to mine the spatial corre

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Zhao, Jun, Wenyu Rong, and Di Liu. "Urban Agglomeration High-Speed Railway Backbone Network Planning: A Case Study of Beijing-Tianjin-Hebei Region, China." Sustainability 15, no. 8 (2023): 6450. http://dx.doi.org/10.3390/su15086450.

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In order to optimize the network layout of urban agglomerations, improve the comprehensive benefits of transportation networks and promote the sustainable development of urban agglomerations, this paper studies the main trunk line selection model of the Beijing–Tianjin–Hebei high-speed railway (HSR). Firstly, the characteristics of cities in urban agglomeration are analyzed, and the economic capacity, transportation capacity, passenger turnover and network characteristics of urban nodes are selected as evaluation indexes. A node importance model and a line urgency model were established to obt

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Yusupova, Irina, and Lyudmila Golitsyna. "The Development of Agglomerations is a Key Direction of the Social and Economic Development Strategy of the Republic of Tatarstan." Regionalnaya ekonomika. Yug Rossii, no. 2 (August 2021): 50–57. http://dx.doi.org/10.15688/re.volsu.2021.2.6.

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The current economic situation makes the issue of the urban agglomerations appearance and development crucial. Global experience shows that urban agglomeration is a rational form of territorial use. Through this process the creation of a unified social, economic and investment space takes place. The goal of agglomeration in the 21st century is to establish the basis for the development of large cities as the best form of people settlement. The development of a locality within an urban agglomeration should give it significant advantages. In most cases, the agglomeration process can produce a si

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Zheng, Xueyan, Minghui Zhu, Yan Shi, et al. "Equity Analysis of the Green Space Allocation in China’s Eight Urban Agglomerations Based on the Theil Index and GeoDetector." Land 12, no. 4 (2023): 795. http://dx.doi.org/10.3390/land12040795.

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An urban agglomeration is a highly developed spatial area formed by integrated cities. While previous studies have analyzed green space allocation at the provincial and city scales, there is insufficient information on green space allocation in urban agglomerations. For this research, a database of green spaces in eight urban agglomerations (133 cities) in China from 2002 to 2019 was constructed to better understand the equity of green space distribution among land resources. A green space equity index (GEI) was established based on the Theil index and combined with GeoDetector to analyze the

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Peng, Huang, Elahi, and Wei. "Ecological Environment Vulnerability and Driving Force of Yangtze River Urban Agglomeration." Sustainability 11, no. 23 (2019): 6623. http://dx.doi.org/10.3390/su11236623.

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The vulnerability of ecological environment threatens social and economic development. Recent studies failed to reveal the driving mechanism behind it, and there is little analysis on the spatial clustering characteristics of the vulnerability of urban agglomerations. Therefore, this article estimates ecological environment vulnerability in 2005, 2011, and 2017, determines Moran Index (MI) with spatial autocorrelation model, analyzes the spatial-temporal difference characteristics of ecological environment vulnerability of Yangtze River Urban Agglomeration and the spatial aggregation effect, a

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Xue, Bowen. "Research on the Coordinated Economic Development of Beijing-Tianjin-Hebei Urban Agglomeration Based on the Measurement of Compactness." Journal of Education, Humanities and Social Sciences 11 (April 20, 2023): 407–16. http://dx.doi.org/10.54097/ehss.v11i.7747.

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Urban agglomeration is an important growth pole for China's future economic development. In recent years, the national high level has paid more and more attention to supporting the development of various urban agglomerations in China. As the third-largest urban agglomeration in China, the Beijing-Tianjin-Hebei urban agglomeration is led by Beijing and Tianjin and develops together with 11 prefecture-level cities in Hebei Province. However, the gap between the top two Yangtze River Delta and Pearl River Delta urban agglomerations is still not small. Meanwhile, the gap between different cities w

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Liu, Guiwen, Kehao Chen, Juan Huang, and Xun Deng. "Analysis of the Spatiotemporal Heterogeneity of Housing Prices’ Association in China: An Urban Agglomeration Perspective." Buildings 12, no. 7 (2022): 972. http://dx.doi.org/10.3390/buildings12070972.

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With the rise of urban agglomerations, regional divergence of China’s real estate market has gradually intensified. City-specialized policies have become the main emphasis for promoting the healthy development of the regional real estate market. By adopting a gravity model, social net-work analysis, and impulse response analysis, this paper examines the spatial-temporal heterogeneity of housing prices’ association in the Beijing-Tianjin-Hebei Urban Agglomeration (BTH-UA), the Yangtze River Delta Urban Agglomeration (YRDUA), and the Pearl River Delta Urban Agglomeration (PRDUA), which are the m

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Ryndina, Alexandra O., and Victoria A. Svishcheva. "Financial aspects of the Saratov agglomeration development." Izvestiya of Saratov University. Economics. Management. Law 23, no. 1 (2023): 42–47. http://dx.doi.org/10.18500/1994-2540-2023-23-1-42-47.

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Introduction. The issue of financial support for the development of urban agglomerations is one of the most relevant, since the timeliness and completeness of the integration processes financing largely determine the success in achieving the goals of creating agglomerations. Of particular importance is the budgetary and tax integration of local territories included in the single agglomeration space, since the current legislation establishes significant independence of local authorities in the formation of local budgets. Theoretical analysis. The article analyzes the approaches and processes us

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Tian, Jinfeng, Yue Tian, and Hong Yi. "The influence of industrial Synergy Agglomeration on economic resilience: Based on the comparison between Yangtze River Delta Urban Agglomeration and Central Yunnan Urban Agglomeration." Journal of Innovation and Development 2, no. 3 (2023): 70–77. http://dx.doi.org/10.54097/jid.v2i3.7279.

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Economic resilience is a balance between economic growth and risk, and an important guarantee for sustainable economic development. The more resilient an economy is, the more likely it is to recover as soon as possible and change its growth path in a timely manner after encountering external disturbances and shocks, so as to achieve high-quality economic transformation and development. The agglomeration of industries in a certain space can effectively reduce the production cost of enterprises. Deepening the industrial division of labor and the extension of the value chain; High-end production

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Liu, Fei, and Qing Huang. "An Approach to Determining the Spatially Contiguous Zone of a Self-Organized Urban Agglomeration." Sustainability 11, no. 12 (2019): 3490. http://dx.doi.org/10.3390/su11123490.

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The evolution of the urban agglomeration is a significant development in urban geography. Determining its spatial range for effective measurement remains a challenge for researchers. In previous studies, determining spatial range has primarily been done through distinguishing the cities that should belong to urban agglomerations from among other cities by using various indicators. Both the selection of indicators and the standards used for calculation and identification have been based on subjective choices, and have not considered spatial distribution or morphology. The urban agglomeration ca

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Dai, Nan. "Research on the Impact of Urban Agglomeration Spatial Structure on the Innovation Capacity of the New Energy Vehicle Industry." Advances in Information Management and Economic Development Research 1, no. 1 (2024): 114. http://dx.doi.org/10.70114/aimedr.2024.1.1.p114.

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As a new productive force, new energy vehicles have the characteristics of high technology, high efficiency, and high quality, which are in line with the advanced productive state of the new development concept. The spatial structure is related to whether the innovative elements of the new energy vehicle industry can be effectively organized, allocated, and produced within the city. This article takes the Beijing Tianjin Hebei Urban Agglomeration, Yangtze River Delta Urban Agglomeration, Chengdu Chongqing Urban Agglomeration, and Pearl River Delta Urban Agglomeration as research objects. Based

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Dai, Nan. "Research on the Impact of Urban Agglomeration Spatial Structure on the Innovation Capacity of the New Energy Vehicle Industry." Advances in Information Management and Economic Development Research 1, no. 1 (2024): 116. http://dx.doi.org/10.70114/aimedr.2024.1.1.p116.

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As a new productive force, new energy vehicles have the characteristics of high technology, high efficiency, and high quality, which are in line with the advanced productive state of the new development concept. The spatial structure is related to whether the innovative elements of the new energy vehicle industry can be effectively organized, allocated, and produced within the city. This article takes the Beijing Tianjin Hebei Urban Agglomeration, Yangtze River Delta Urban Agglomeration, Chengdu Chongqing Urban Agglomeration, and Pearl River Delta Urban Agglomeration as research objects. Based

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Barbashova, N. E., and A. N. Komarnitskaya. "Problems and Prospects of Inter-budget Relations in Russia’s Urban Agglomerations." Financial Journal 16, no. 3 (2024): 23–39. http://dx.doi.org/10.31107/2075-1990-2024-3-23-39.

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The development of urban agglomerations is an urgent direction of the state policy of the Russian Federation in the field of territorial development. The purpose of this article is to identify current problems in the sphere of budgetary interaction within urban agglomerations and to develop approaches to building an optimal system of inter-budget relations in different agglomeration models. Among them we can distinguish the traditional model (in which the core is an urban district, the satellite zone — municipalities located in the same subject of the Russian Federation), the interregional mod

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Lisina, Natal'ya, Aleksandra Ushakova, Viacheslav Baev, and Monika Nazaryan. "Urban Agglomerations in Russia: Legal Analysis of Development Control." Bulletin of Kemerovo State University. Series: Humanities and Social Sciences 2023, no. 4 (2023): 484–95. http://dx.doi.org/10.21603/2542-1840-2023-7-4-484-495.

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The settlement system in the Russian Federation is that of urban agglomerations. This process legally manifests itself as management bodies that control urban agglomerations on the basis of inter-municipal cooperation and / or redistribution of powers between local and regional governments. Although this process is countrywide, it remains underrepresented in the legal science. The article introduces an analysis of urban agglomeration management. It yielded four current models of agglomeration management in Russia: horizontal, vertical, mixed, and that of a city of federal significance. The hor

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Gaigné, Carl, and Yves Zenou. "Agglomeration, city size and crime." European Economic Review 80 (November 2015): 62–82. http://dx.doi.org/10.1016/j.euroecorev.2015.08.014.

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Li, Duo, and Yan Zhang. "Study on the Method of Defining the Spatial Scope of Urban Agglomeration." E3S Web of Conferences 194 (2020): 05032. http://dx.doi.org/10.1051/e3sconf/202019405032.

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This paper researches the Chang-Zhu-Tan urban agglomerations, uses the gravitational model and the field strength model, based on the gross production of the city, the urban population, economic distance and commuting time four aspects index system, calculates the gravitational and field strength values of the core city of Changsha to the Chang-Zhu-Tan urban agglomerations, and obtains theoretically spatial extent of the Chang-Zhu-Tan urban agglomerations. The result shows that: the spatial extent of the Chang-Zhu-Tan urban agglomerations the Government establishes is consistent with the spati

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Xiong, Weiting, and Jingang Li. "The Knowledge Spillover Effect of Multi-Scale Urban Innovation Networks on Industrial Development: Evidence from the Automobile Manufacturing Industry in China." Systems 12, no. 1 (2023): 5. http://dx.doi.org/10.3390/systems12010005.

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Multi-scale urban innovation networks are important channels for intra- and inter-city knowledge spillovers and play an important role in urban industrial innovation and growth. However, there is a lack of direct evidence on the impact of multi-scale urban innovation networks on industrial development. Drawing upon the “buzz-and-pipeline” model, this paper analyzes the impact of multi-scale urban innovation networks on industrial development by taking the automobile manufacturing industry in China’s five urban agglomerations as an example. Firstly, based on the Form of Correlation between Inte

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Lin, Shanlang, Ziyang Chen, and Ziwen He. "Intra-City Industrial Collaborative Agglomeration, Inter-City Network Connectivity and Green Technology Innovation." Sustainability 13, no. 16 (2021): 8835. http://dx.doi.org/10.3390/su13168835.

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Using the panel data of 263 prefecture-level cities in China, this article explores the development of green technology innovation under the influence of intra-city industrial collaborative agglomeration and inter-city network connectivity. Regression results prove that both of them can enhance green technology innovation. However, further heterogeneity tests suggest that the promoting power of industrial collaborative agglomeration is only significant in the eastern, central and medium-level cities. Meanwhile, there is a significant negative moderating correlation between industrial collabora

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Gataullin, Rinat Fazltdinovich, Aysylu Garifullovna Ataeva, and Alsu Garifullovna Ulyaeva. "The prospects of formation of transboundary agglomeration (On the example of Almetyevsk – Oktyabrsky agglomeration)." Урбанистика, no. 3 (March 2020): 111–26. http://dx.doi.org/10.7256/2310-8673.2020.3.34015.

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The goal of this article consists in assessment of possibility of existence of transregional agglomeration between the Republic of Tatarstan and the Republic of Bashkortostan based on evaluation of the criteria of composition of agglomeration. The subject of this research is the composition of the oilfield service polycentric small urban agglomeration Oktyabrsky &ndash; Tuymazy located on the territory of the Republic of Bashkortostan, as well as the composition of the Almetyevsk polycentric agglomeration located on the territory of the Republic of Tatarstan, which provisionally includes b

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Prusov, Dmitry, and Svetlana Dubova. "Modeling of Passenger Flows in Agglomerations of Large Developing Cities (on the Example of Kyiv)." Periodica Polytechnica Transportation Engineering 51, no. 4 (2023): 417–30. http://dx.doi.org/10.3311/pptr.19785.

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Based on the analysis of the fundamental impact of transport infrastructure, the city and the agglomeration are increasingly interpreted as a set of historically composed residential and industrial districts formed in the areas of interchanges of different modes of transport. On the example of the City of Kyiv, the modeling of passenger flows in agglomerations of large developing cities is considered, in order to implement the provisions of a modern urban environment, based on transport analysis of the urban area, with further forecasting of passenger flows on the street-road network and choic

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MIKHAYLOVA, Anna, and Vasilisa GOROCHNAYA. "Social Effects of Agglomeration. An Assessment of Intraregional Disparities in the South of Russia." Journal of Settlements and Spatial Planning 11, no. 2 (2020): 113–26. http://dx.doi.org/10.24193/jssp.2020.2.05.

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The growth of cities against the background of transport infrastructure development has led to the formation of urban agglomerations as systems of interconnected cities. Rural areas are the foundation for the growth of new actively developing urban spatial systems and become donors of labour resources. The redistribution of population between the city and the country entails a number of social effects. This study aims to assess the impact of agglomeration processes on the social sphere of municipalities in the region. The main focus of the study is the dynamically developing monocentric agglom

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Koloskova, Alla. "Rostov-on-Don as the Core of Rostov Agglomeration: Prospects and Development Problems." Regionalnaya ekonomika. Yug Rossii, no. 3 (October 2023): 98–105. http://dx.doi.org/10.15688/re.volsu.2023.3.10.

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Rostov-on-Don is the largest city in southern Russia and the core of one of the most developed agglomerations in this direction. Currently, it has 1,137,904 inhabitants, which is half the population of the entire Rostov agglomeration. As the core of the Rostov agglomeration, the city with one million inhabitants acts as a “locomotive” of development for the surrounding settlements and territories and a point of attraction for human capital; this only strengthens the monocentric development of the agglomeration. In the modern realities of our country’s development, Rostov has a new function. It

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Zhao, Yubo, Gui Zhang, and Hongwei Zhao. "Spatial Network Structures of Urban Agglomeration Based on the Improved Gravity Model: A Case Study in China’s Two Urban Agglomerations." Complexity 2021 (February 6, 2021): 1–17. http://dx.doi.org/10.1155/2021/6651444.

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Research on urban agglomerations from the perspective of network spatial structure is important to promote their sustainable development. Based on online and traditional data, this paper first improves three aspects of the traditional spatial gravity model—city quality, the gravitation coefficient, and city distance—considering urban center functional intensity and population mobility tendencies. The resulting improved directional gravity model is applied to analyze the structure of the city network for two urban agglomerations in China, the Beijing-Tianjin-Hebei urban agglomeration (BTHUA) an

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