scholarly journals Polycentric or monocentric, which kind of spatial structure is better for promoting the green economy? Evidence from Chinese urban agglomerations

2021 ◽  
Author(s):  
Yue Huang ◽  
Ruiwen Liao
Keyword(s):  
Spatial Structure ◽  
Green Economy ◽  
Urban Agglomerations

scholarly journals Polycentric or monocentric, which kind of spatial structure is better for promoting the green economy? Evidence from Chinese urban agglomerations

2021 ◽  
Author(s):  
Yue Huang ◽  
Ruiwen Liao
Keyword(s):  
Spatial Structure ◽  
Structural Evolution ◽  
Development Planning ◽  
Urban Agglomeration ◽  
Green Economy ◽  
Economic Activities ◽  
Optimal Range ◽  
Urban Agglomerations ◽  
The Impact ◽  
Research Period

Abstract The green economy has gained worldwide attention, especially in the urban agglomerations where population and economic activities are highly concentrated. However, what kind of urban agglomeration spatial structure is more conducive to promoting the green economy? No clear conclusions have been made. Here, we study the impact of urban agglomeration spatial structure on the green economy, and also reveal how urban agglomeration spatial structure influences the three subsystems of green economy. We find that: (1) urban agglomeration spatial structural evolution is closely related to green economy, while in the research period, most urban agglomerations are not located in the optimal range of the spatial structure that drives the green economy. (2) Towards polycentric spatial structure is contributive to green economic growth, however, the excessively polycentric could not benefit green economy. (3) The evolution of urban agglomeration spatial structure exerts heterogenous impacts on the three subsystems when green economy is decomposed into economic subsystem, resources subsystem, and environmental subsystem. Towards polycentric is more conducive to the improvement of economic subsystem and resource subsystem, while, the tendency to monocentric drives the environmental subsystem development. (4) Lastly, our conclusions enlighten the urban agglomeration development planning and spatial mode for approaching a better performance in green economy.

scholarly journals Research of urban agglomerations in the aspect of implementation of the administrative and territorial reform in Ukraine (case study of Kharkiv region)

2019 ◽  
Keyword(s):  
Spatial Structure ◽  
Spatial Organization ◽  
Weighted Average ◽  
Evolutionary Potential ◽  
Statistical Parameters ◽  
Urban Agglomerations ◽  
Territorial Structure

In the modern context of, one of the main tasks in the regional development management is to optimally realize the complex potential of the territories, which requires a comprehensive study of the spatial structure and evolutionary potential of agglomerations of all levels in order to identify disparities in their development, correct imbalances and optimize the spatial organization of the region. The first step to solve this problem is to identify the spatial structure and evaluate the interconnections of agglomerations sequentially, from local to regional level. This is becoming more relevant in the context of administrative and territorial reform in Ukraine. The purpose of this study is to analyze the prospects for the development of urban agglomerations and the organization of the administrative and territorial structure of Kharkiv region in view of the prevailing influence of the city of Kharkiv and the Kharkiv agglomeration. The basic theoretical and methodological starting points of the study of urban agglomerations are presented; their characteristics and parameters of boundary determination were defined. The essence of the method of modeling of integral influence function (IIF modeling) was revealed, the author's research methodology was substantiated. The tendencies of introduction of administrative and territorial reform in Ukraine were analyzed. It was established that Kharkiv region occupies mediocre places in terms of formation of the united territorial communities, there were 23 ones in the oblast (3 of them are city, 12 town, 8 rural ones) by the end of 2019. The scheme for dividing into enlarged districts has not yet been approved. According to different plans / proposals, the existing 27 districts of the oblast should be consolidated into nine, seven, six or four enlarged districts (counties). All of the above proposals were considered by the authors, it is established that the existing projects do not fully cover the main prevailing factors of allocation of competitive districts, do not take into account the role of historically formed system of settlement, spatial-statistical parameters, integral potential of territories, urbanization and agglomeration. The authors performed the IIF modeling and constructed the IIF surface of the weighted average settlement potential of Kharkiv region by the base radius of influence (2, 10, 20, and 30 km), which allowed to determine the features of the Kharkov agglomeration structure and the interaction of the settlements in the region by different radiuses of interaction, primary agglomerations, prospective growth points. On the basis of the obtained results of IIF modeling, the author's model of administrative and territorial division of Kharkiv region into eight enlarged districts was proposed, given the specific features of the settlement system and the correlation of area and population of the modeled administrative and territorial units. The scientifically grounded division of the region into enlarged districts (counties) and stimulation of their development will contribute to the most complete and rational use of the territories potential, increase of economic, human, investment potential, rise of the level and quality of life of the population, etc.

scholarly journals 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

2020 ◽  
Vol 12 (18) ◽  
pp. 7550
Author(s):  
Jiao Li ◽  
Yongsheng Qian ◽  
Junwei Zeng ◽  
Fan Yin ◽  
Leipeng Zhu ◽  
...  
Keyword(s):  
Spatial Structure ◽  
High Speed ◽  
Central City ◽  
Fractal Theory ◽  
Urban Agglomeration ◽  
Western China ◽  
Structure Evolution ◽  
High Speed Rail ◽  
High Speed Railway ◽  
Urban Agglomerations

By shortening the transportation time between cities, high-speed rail shortens the spatial distance between cities and exerts a far-reaching influence on urban agglomerations’ spatial structures. In order to explore the influence of high-speed rail on the spatial reconstruction of an urban agglomeration in western China, this paper employs fractal theory to compare and analyze the spatial structure evolution of the Chengdu–Chongqing urban agglomeration in western China before and after the opening of a high-speed railway. The results show that after the completion of the high-speed railway, the intercity accessibility is improved. The Chengdu–Chongqing urban agglomeration’s spatial distribution shows a decreasing density from the central city to the surrounding areas. Furthermore, the urban system presents a trend of an agglomeration distribution. Therefore, strengthening the construction of high-speed rail channels between primary and medium-sized cities, as well as accelerating the construction of intercity railway networks and rapid transportation systems based on high-speed rail cities, would help develop urban agglomerations in western China.

scholarly journals Analysis of the Spatial Structure of Regional Enterprises and Its Impact on Regional Economic Development Based on the Data Envelopment Analysis Model (DEA)

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Lei Wang ◽  
Yuan He ◽  
Tongwen Wang
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Spatial Structure ◽  
Spatial Association ◽  
Development Stage ◽  
Regional Economic Growth ◽  
Regional Economic ◽  
Economic Growth Rate ◽  
Urban Agglomerations ◽  
Evolution Characteristics

This paper adopts the data envelopment analysis (DEA) model to conduct an in-depth study and analysis of the spatial structure of regional enterprises and their impact on regional economic development and to apply the analysis of the impact between the two. Firstly, the concepts of urban agglomeration, regional spatial pattern evolution, and coordinated regional development and their connotations are explained to define the research topic of this paper. Then, we systematically analyze the theory of regional economic growth, development stage theory, spatial polarization theory, and regional spatial association theory and review the existing studies on regional economic growth, regional development stage, regional spatial association, and pattern evolution, as well as the efficiency and quality of regional economic growth, which further clarify the research focus and research ideas of this paper. The time evolution, spatial divergence, and spatial association characteristics of the economic growth rate of the central urban agglomerations are measured, then the DEA model and entropy value method are used to calculate the economic growth efficiency and economic growth quality of the urban agglomerations, respectively, the time evolution characteristics and spatial pattern evolution characteristics of the economic growth efficiency and economic growth quality are analyzed, and finally, the coupled model of regional economic growth rate, efficiency, and quality is constructed. Finally, a coordination model of the coupling of regional economic growth rate, efficiency, and quality is constructed and the time-series evolution characteristics and spatial-temporal divergence characteristics of the coupling coordination degree of the three are comprehensively analyzed, and the spatial classification of the coupling coordination type of each county unit is made. The direction and path of regulation for the optimization of spatial structure and coordinated spatial development of urban agglomerations are proposed, and finally, the leading factors for the reorganization of the regional economic spatial structure are analyzed, and the regulatory countermeasures for the optimization of the economic spatial structure of urban agglomerations are proposed according to the spatial structure of urban agglomerations and their evolutionary characteristics.

scholarly journals Spatial Structure Evolution of Urban Agglomerations and Its Driving Factors in Mainland China: From the Monocentric to the Polycentric Dimension

2019 ◽  
Vol 11 (3) ◽  
pp. 610 ◽  
Author(s):  
Feng Lan ◽  
Huili Da ◽  
Haizhen Wen ◽  
Ying Wang
Keyword(s):  
Spatial Structure ◽  
Census Data ◽  
Driving Forces ◽  
Policy Implications ◽  
Transport Infrastructure ◽  
Structure Evolution ◽  
Night Time ◽  
Urban Agglomerations ◽  
Study Results ◽  
Changing Process

Urban agglomerations (UAs) have become the urbanized “growth poles”, especially against the background of increasing population flow to cities. The spatial structure of UAs has been deemed the essential factor affecting regional function and sustainable development. Although there have been many meaningful studies on spatial structure changes in China, a systematically comparative work of UAs is still absent. Under this context, this paper examines the changing process of spatial structure in 20 Chinese UAs from monocentric to polycentric during the years 1992–2012 by using the night-time light data—an alternative to census data—and explores the major driving forces underlying the evolution. Our empirical results suggest that there is an obvious polycentric tendency of UAs, the spatial distribution pattern of which is not apparent. Panel regression models reveal that the economic level, the population size, the foreign direct investment (FDI), the human capital, and the transport infrastructure play significant positive roles in shaping the polycentric changing process, while the growth of the government expenditure does the opposite. Moreover, transport infrastructure and FDI are positively associated with polycentric spatial structure in mature UAs; on the contrary, they are negatively associated with it in the emerging UAs. Our study results have important policy implications for rapid Chinese urbanization—the policy whereby “China’s future urbanization development model is to limit the agglomeration of large cities while focusing on developing small and medium-sized cities” may be more efficient in mature UAs.

scholarly journals The Regional and Local Scale Evolution of the Spatial Structure of High-Speed Railway Networks—A Case Study Focused on Beijing-Tianjin-Hebei Urban Agglomeration

2021 ◽  
Vol 10 (8) ◽  
pp. 543
Author(s):  
Dan He ◽  
Zixuan Chen ◽  
Tao Pei ◽  
Jing Zhou
Keyword(s):  
Spatial Structure ◽  
High Speed ◽  
Regional Scale ◽  
Local Scale ◽  
High Speed Railway ◽  
Urban Agglomerations ◽  
Passenger Flow ◽  
Network Weight ◽  
Development And Evolution

China has entered an era of rapid high-speed railway (HSR) development and the spatial structure of urban agglomerations will evolve in parallel with the development and evolution of the spatial structure of the HSR network. In this study, we explore how the spatial structure of an HSR network evolves at regional and local scales. Existing research into HSR network structures has mostly been carried out at a regional scale, and has therefore failed to reveal the spatial connections within a city. In this work, we progress the science by exploring it at a local scale. To describe the HSR network more accurately, we use the dwell time to simulate the passenger flow between stations and use the simulated passenger flow as the network weight. We use complex network analysis to investigate the evolution of the network’s spatial structure. Our results present the evolution of station locations, of community structure, and of the locations of connections between stations at a regional scale, and also show how HSR network development within core cities has impacted structures and connectivity at a local scale. These results help us to understand the spatial structure of urban agglomerations and cities, and provide evidence that can be used to optimize the structure of the HSR network within regions and cities.

scholarly journals Dynamics of spatial structure in French urban agglomerations

1984 ◽  
Vol 55 (1) ◽  
pp. 71-82 ◽  
Author(s):  
D. Pumain ◽  
T. Saint Julien ◽  
L. Sanders
Keyword(s):  
Spatial Structure ◽  
Urban Agglomerations

scholarly journals Evaluation of Polycentric Spatial Structure in the Urban Agglomeration of the Pearl River Delta (PRD) Based on Multi-Source Big Data Fusion

2021 ◽  
Vol 13 (18) ◽  
pp. 3639
Author(s):  
Xiong He ◽  
Yongwang Cao ◽  
Chunshan Zhou
Keyword(s):  
Big Data ◽  
Data Fusion ◽  
Spatial Structure ◽  
Pearl River Delta ◽  
Urban Agglomeration ◽  
Pearl River ◽  
Spatial Structures ◽  
Urban Agglomerations ◽  
The Pearl River Delta ◽  
The Pearl River

The rapid development of the urban city has led to great changes in the urban spatial structure. Thus, analyses of polycentric urban spatial structures are important for understanding these kinds of structures. In order to accurately evaluate the polycentric spatial structure of urban agglomerations and judge the differences between the actual development situation and overall planning of urban agglomerations, this study proposes a new method to identify the polycentric spatial structure of urban agglomerations in the Pearl River Delta based on the fusion of nighttime light (NTL) data, point of interest (POI) data, and Tencent migration data (TMG). In the first step, the NTL, POI, and TMG data are fused via wavelet transform; in the second step, Anselin local Moran's I (LMI) and geographically weighted regression (GWR) were used to identify the main centers and subcenters, respectively. In the third step, the accuracy of the results of this study was further verified and discussed in the context of overall planning. The results show that the accuracy of urban polycenter identification via LMI and GWR after data fusion was 92.84%, and the Kappa value was 0.8971, which was higher than the results of polycenter identification via the traditional relative threshold. After comparing the identification results with the overall planning, firstly, we see that the fusion of multi-source big data can help to accurately evaluate the polycentric spatial structure within the urban agglomeration. Secondly, the fusion of dynamic data and static data can help identify the polycentric spatial structure of urban space more accurately. Therefore, this study can provide a new design for urban polycentric spatial structures, and further provide a reliable reference for the spatial optimization of urban agglomeration and the formulation of regional spatial development policies.

scholarly journals Analysis of socio-economic spatial structure of urban agglomeration in China based on spatial gradient and clustering

2021 ◽  
Vol 12 (3) ◽  
pp. 789-819
Author(s):  
Li He ◽  
Jian’ge Tao ◽  
Ping Meng ◽  
Dan Chen ◽  
Meng Yan ◽  
...  
Keyword(s):  
Spatial Structure ◽  
Social Development ◽  
Central City ◽  
Value Added ◽  
Decisive Role ◽  
Population Data ◽  
Urban Agglomeration ◽  
Spatial Gradient ◽  
Gradient Structure ◽  
Urban Agglomerations

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 development law and experience of urban agglomeration, this study explores the practice of economic and population spatial structure of city areas in China. For this purpose, CPUA and its central city Zhengzhou was taken as an example, the spatial gradient structure of example was analyzed. Methods: Using economic and population data of 32 cities in this region, growth pole theory, and pole-axis theory, the economic and population spatial structure of urban agglomeration, the spatial gradient structure of central cities in urban agglomerations were analyzed with the method of cluster about radiation index. Findings & value added: (1) In the process of the formation of CPUA, the geo-graphical spatial pattern plays a decisive role in economic and social development. This is an experience from developing countries. (2) CPUA presents a gradient development pattern with Zhengzhou as the center, and economic and social development gradually radiates to the metropolitan area, the core development area, and the character development demonstration area. (3) The economic and social gradients of Zhengzhou, the central city, present the hierarchy rules and characteristics which are driven by the Beijing-Guangzhou-Railway axis and the Longhai-Railway axis. (4) The central city of Zhengzhou still presents insufficient primacy in regional development, which shows that Zhengzhou accounts for 6% of the population of the Central Plains Economic Zone and 14% of GDP, and insufficient agglomeration. Different countries at different stages of economic development have different urban agglomeration development models. The conclusions from China provide new decision-making ideas and methods for spatial structure research and development strategy analysis of urban agglomerations.

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