A Framework for Spatiotemporal Analysis of Regional Economic Agglomeration Patterns

Jin, Rui; Gong, Jianya; Deng, Min; Wan, Yat-wah; Yang, Xuexi

doi:10.3390/su10082800

Cited by 7 publications

(3 citation statements)

References 50 publications

(49 reference statements)

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“…Moreover, interactions between regions or cities are mainly reflected by the agglomeration and diffusion of various factors, which are the driving force for the evolution of regional spatial structure [21]. Jin et al (2018) [22] argued that understanding regional economic agglomeration patterns is critical for sustainable economic development, urban planning and proper utilization of regional resources. As such, the urban energy level from the view of fields can be treated as a special kind of "external economic connection level" and reflects a city's interaction with other cities, which is of great significance to the sustainable development of regional economy, the evolution of regional spatial structure and urban planning.…”

Section: Literature Reviewmentioning

confidence: 99%

Assessing the Economic Energy Level of the Chengdu–Chongqing Economic Circle: An Integrative Perspective of “Field Source” and “Field”

et al. 2022

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As a densely overlapping area under the national overarching development strategy, the Chengdu–Chongqing Economic Circle (CCEC) possesses a significant strategic location. However, compared with the other three growth pillars, the economic energy of the CCEC is still at a low level and in urgent need of improvement, which has to be implemented step by step in a systematic manner. At present, the focus remains on the two central cities—Chengdu and Chongqing. In contrast to the traditional evaluation of the regional economic energy level (EEL) solely from the “internal comprehensive development level”, this paper takes an angle on the interdependence and co-existence of “field source” and “field” to construct a preliminary index system which accounts for the “external economic connection level” as well. We then calibrate and validate the proposed model from both statistical and empirical angles. Finally, by optimizing the model, this paper evaluates the EELs of the Chengdu–Chongqing twin cities by fuzzy integrals of comprehensive weights. The results show the following: (1) From the perspective of overall indicators, the EELs of Chengdu and Chongqing have been rising from 2000 to 2018. In 2019, due to deglobalization and the Sino-US trade war, both cities appeared to reach an inflection point. (2) In terms of horizontal comparison, the EELs of the two cities basically coincide with each other, in line with the positioning of Chengdu–Chongqing as the two leading cities in Western China. However, their EELs have been lagging behind those of Beijing, indicating more room for further improvement. (3) From the point of view of sub-indexes, Chongqing has the advantage in the “external economic connection level” while Chengdu has the advantage in the “internal comprehensive development level”. The dislocation and complementarity of Chongqing and Chengdu has become an opportunity to break away from the stiff competition and jointly improve their EELs. (4) By comparing our evaluation with the traditional assessment, we note that the EEL tends to be misestimated if comprehensive factors regarding the “external economic connection level” are not taken into account.

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Section: Literature Reviewmentioning

confidence: 99%

Assessing the Economic Energy Level of the Chengdu–Chongqing Economic Circle: An Integrative Perspective of “Field Source” and “Field”

et al. 2022

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“…With the spatial agglomeration of economic activities, population and resources are gradually gathered in regions with economic prosperity, causing an imbalanced spatial pattern of regional economy, population, resources, and infrastructure. Many studies have demonstrated that an inverted-U relationship exists between agglomeration and the economy [8]. Agglomeration can greatly promote regional development in early stages while leading to a decline in the regional economy after the agglomeration exceeds the limits.…”

Section: Theoretical Basismentioning

confidence: 99%

Evaluation of Spatial Balance of China’s Regional Development

Shen

Teng²,

Song

2018

Sustainability

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China’s substantial economic growth and rapid urbanization has brought about some negative effects, one of which is spatial imbalance. Spatial imbalance has attracted considerable attention from both the government and researchers, since it has severely hindered regional sustainable development. This study, from the perspective of the matching relationship between spatial supply capacity and development demand intensity, evaluates the spatial balance of 290 prefecture-level cities in China by establishing an index system that considers the economy, society, resources, and the environment. The findings of this study have demonstrated that the strategies and measures of China in the last few years have brought about a spatial imbalance in regional development while rapidly boosting economic growth. The results reveal that there is not a corresponding relationship between spatial supply capacity and development demand intensity in China’s regional development, indicating that most cities in China are in an imbalanced state regarding regional development. Only a few cities have reached spatial balance, while overexploitation is a common phenomenon. This study displays an overall perspective on the state of spatial balance in China, providing a sound basis for implementing pertinent governance measures in different regions.

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“…Following the principle that "understanding urban space requires understanding flows and networks" [37], the study of urban interactions from the perspective of flow space has gradually become mainstream. With urban nodes as the unit of analysis, flow space research emphasizes the relational and connected nature of urban space [38], focusing on the analysis of network structures [39] from the perspectives of regional economies [40], tourism flows [41], population flows [42], traffic flows [43], and commuting flows [44], thus validating the flexibility and superiority of flow space for portraying urban linkages. In the meantime, with its impartiality and precision, community detection has become an innovative trend in the research of urban spatial networks [45], and it has been tentatively utilized in the evolution of urban structure [46] and the identification of spatial boundaries.…”

Section: Introductionmentioning

confidence: 99%

Identification of Metropolitan Area Boundaries Based on Comprehensive Spatial Linkages of Cities: A Case Study of the Beijing–Tianjin–Hebei Region

Zhang

Wang

Ning

et al. 2022

IJGI

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As a regional management unit to solve "urban diseases,” metropolitan areas are gradually attracting widespread attention. How to objectively and accurately delineate the boundaries of a metropolitan area is the primary prerequisite for carrying out targeted studies and precisely formulating regional planning measures. However, the existing methods for delineating metropolitan area boundaries have problems, such as high data acquisition costs, subjectivity, and a single perspective of urban linkage. To address the above problems, we propose a “bottom-up” approach to metropolitan area boundary delineation based on urban comprehensive spatial linkages. We used only publicly available data to construct a directionally weighted network of urban spatial linkages, and applied community detection algorithms to delineate metropolitan area boundaries. Taking the Beijing–Tianjin–Hebei region as a case study area, the method’s validity was confirmed. The results showed the following: (1) Eight metropolitan areas were delineated within the region, with two types of metropolitan areas: “Inter-municipal” and “single-city”. (2) The overall accuracy of the delineation results reached 83.41%, which is highly consistent with their corresponding isochrone maps. (3) Most metropolitan areas were observed to have an obvious “central–peripheral” structure, with only the JingJinLang metropolitan area being a polycentric mature metropolitan area, whereas the other metropolitan areas remained in the initial stage of development, with Zhangjiakou and Chengde not yet having formed metropolitan areas. This study’s methodology highlights the basic criteria of “inter-city spatial linkage” as the foundation for boundary delineation, avoiding the inaccuracy caused by the subjective selection of boundary thresholds, and can also accurately determine the developmental stage and internal spatial structure of metropolitan areas. Our method can provide new perspectives for regional boundary delineation and spatial planning policy formulation.

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A Framework for Spatiotemporal Analysis of Regional Economic Agglomeration Patterns

Cited by 7 publications

References 50 publications

Assessing the Economic Energy Level of the Chengdu–Chongqing Economic Circle: An Integrative Perspective of “Field Source” and “Field”

Assessing the Economic Energy Level of the Chengdu–Chongqing Economic Circle: An Integrative Perspective of “Field Source” and “Field”

Evaluation of Spatial Balance of China’s Regional Development

Identification of Metropolitan Area Boundaries Based on Comprehensive Spatial Linkages of Cities: A Case Study of the Beijing–Tianjin–Hebei Region

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