Population-land urbanization and comprehensive development evaluation of the Beijing-Tianjin-Hebei urban agglomeration

Yu-feng, Wang

doi:10.1007/s11356-022-20027-1

Cited by 16 publications

(4 citation statements)

References 26 publications

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“…Moreover, the HH cluster area of the Tianjin area also declined obviously (Figure 4a). This may be due to Beijing's implementation of a series of administrative policies to encourage the reduction of the secondary industry and the development of the tertiary industry before the secondary industry was fully developed and transferred to neighboring cities, resulting in a delay in the integration process and development of the Beijing-Tianjin-Hebei agglomeration [43,44]. In the northern coastal areas, Liaoning Province exhibited the most severe area growth in the LL cluster by 2021, while the HH cluster area around Shenyang and Dalian was significantly reduced (Figure 4a), meaning that the economic growth of the region was low during this period.…”

Section: Gdp Spatial Autocorrelationmentioning

confidence: 99%

Evolution of China’s Coastal Economy since the Belt and Road Initiative Based on Nighttime Light Imagery

Wang,

Zhou,

Xia

et al. 2024

Sustainability

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The joint construction of the Silk Road Economic Belt and the 21st Century Maritime Silk Road proposed by China has brought major development opportunities for the development of countries and regions along the routes. Traditional GDP statistics based on administrative units cannot describe the spatial differences of GDP within administrative units, which has certain limitations in exploring regional economic development analysis and supporting economic development decision making. Based on NPP-VIIRS luminous remote sensing data, land use data, and statistical yearbook data, this paper analyzes the spatial–temporal evolution pattern of economic level in China’s coastal economic belt from 2012 to 2021 using the Moran index and standard deviation ellipse. An unbalanced distribution of economic development are found along China coastal area and the economic gravity center moved southwest since the Belt and Road Initiative. The results show thatthe Yangtze River Delta was extremely active , and the economic growth of the south was better than that of the north. The grided GDP map presents more details of regional economic development, and provides an opportunity for further mechanisms exploration of the development process.

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Section: Gdp Spatial Autocorrelationmentioning

confidence: 99%

Evolution of China’s Coastal Economy since the Belt and Road Initiative Based on Nighttime Light Imagery

Wang,

Zhou,

Xia

et al. 2024

Sustainability

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“…Rapid industrialization has prompted China to enter the "post industrialization" era. The complex history, scale and spatial layout of degraded old industrial districts have caused a series of social, economic and environmental problems (Wang et al, 2022;. Pan et al (2017) proposed that China's industrial districts are currently faced with problems such as scarcity of space for industrial structure upgrading and low efficiency of industrial space utilization.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of relocation and reconstruction policies on the upgrading of urban industrial structure in old industrial districts

Lin

Luo

Lin

et al. 2022

Front. Environ. Sci.

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Old industrial bases (municipal districts) play a decisive role in the process of China’s economic development. This study focuses on the upgrading of urban industrial structure. Based on the panel data of 120 old industrial bases (municipal districts) in China from 2010 to 2018, a double difference model was established to empirically analyze the impact of pilot relocation and reconstruction policies on the upgrading of urban industrial structure in old industrial districts. The results demonstrate that 1) The pilot relocation and reconstruction policies play a significant role in promoting the upgrading of urban industrial structure in old industrial districts; 2) Upgrading of urban industrial structure is significantly affected by the urban economic development level, urban population density, land marketization level, industrial enterprise agglomeration degree and infrastructure construction; 3) The impact of relocation and reconstruction policies on the upgrading of urban industrial structure in old industrial districts exhibits certain regional heterogeneity. Finally, some targeted suggestions are proposed for future formulation of effective policies for the relocation and reconstruction of old industrial areas and optimal allocation of urban industrial structure.

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“…This global trend is keenly observed in China, where the economy has transitioned to a "new normal", shifting from rapid growth to prioritizing high-quality development [4][5][6]. In this evolved economic landscape, UAs are not merely engines of economic development and urbanization [7][8][9]; they also serve as crucial connectors between domestic and international economies [10][11][12], fostering international cooperation and competition [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

From global to national: The role of urban agglomerations in China’s new development paradigm

Gao,

Chang,

Wang

2024

PLoS ONE

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Urban agglomerations (UAs), which serve as pivotal hubs for economic and innovative convergence, play a crucial role in enhancing internal circulation and strengthening external linkages. This study utilizes the China city-level multi-regional input-output tables, incorporating the Dagum Gini coefficient and kernel density estimation methods, to perform a thorough quantitative analysis. Disparities within the national and global value chains ("dual value chains") of Chinese UAs from 2012 to 2017 were assessed. Additionally, the logarithmic mean Divisia index (LMDI) method was applied to disaggregate the drivers of both national and global intermediate inputs (NII and GII). The study’s key findings include the following: (1) The national value chain (NVC) within UAs exhibits robust growth, contrasting with the decline in the global value chain (GVC). (2) The inter-UA disparity contribution rate significantly surpasses the combined rates of intra-UA contribution and super-variation density. (3) Distinct evolutionary peak trends are discerned among various UAs within the "dual value chains", highlighting diverse spatial polarization characteristics and expansiveness. (4) The growth of the NVC has transitioned from a negative to a positive impact on NII, while the decline in GVC has substantially counteracted GII growth. Economic and demographic factors notably drive positive improvements in both NII and GII, whereas the efficiency of outflows presents a negative driving effect. Based on these findings, this study offers strategic recommendations to facilitate the effective integration of UAs into the new development paradigm, thereby providing a scientific basis for related decision-making processes.

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Population-land urbanization and comprehensive development evaluation of the Beijing-Tianjin-Hebei urban agglomeration

Cited by 16 publications

References 26 publications

Evolution of China’s Coastal Economy since the Belt and Road Initiative Based on Nighttime Light Imagery

Evolution of China’s Coastal Economy since the Belt and Road Initiative Based on Nighttime Light Imagery

Impact of relocation and reconstruction policies on the upgrading of urban industrial structure in old industrial districts

From global to national: The role of urban agglomerations in China’s new development paradigm

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