How do urban agglomerations drive economic development? A policy implementation and spatial effects perspective

Wang, Song; Yang, Canyu; Hou, Dailing; Dai, Liang

doi:10.1016/j.eap.2023.10.014

Cited by 8 publications

(2 citation statements)

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“…Drawing on the analytical ideas of regional comparisons and spatial–temporal variation ( 36–39 ), the article will use the Theil index to examine inequality and difference in terms of the concepts of informativeness and entropy. The Theil index examines inequality and variability using the concepts of informativeness and entropy, decomposes the overall variability into variability between parts and within parts, and has a wide range of applications in analysing and decomposing variability.…”

Section: Methodsmentioning

confidence: 99%

Study on the development characteristics and spatial and temporal patterns of population ageing in 31 central cities in China

Zhang,

Ren,

2024

Front. Public Health

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BackgroundPopulation ageing is inseparable from technological innovation, social progress and the development of human civilization, and constitutes a new element in the development of contemporary human history.ObjectiveTo dynamically analyses the developmental, structural and growth characteristics of population ageing in 31 provincial capitals and municipalities in China, using the data of the fifth national census in 2000 and the seventh national census in 2020.MethodsThe development characteristics and spatial and temporal patterns of population aging in the 31 cities were measured using the population aging index growth model, Theil’s index, coefficient of variation, population aging index and other analytical methods.Results(1) From 2000 to 2020, the population aging rate of the 31 central cities generally increased, and the population aging level of the cities showed the characteristics of “East-Central-Northeast-West” to “Northeast-East-Central-West” decreasing. (2) Regional differences in the ratio of old to young are relatively high, while regional differences in the level of population ageing are relatively small. The level of population ageing is classified with the indicators of size structure, family structure and age structure in the first and third quadrants, and with the geographic concentration rate in the second and fourth quadrants. (3) China’s population ageing has a T-shaped spatial distribution characteristic pointing along the coast - along the Yangtze Rivers.ConclusionThe 31 central cities are the center of gravity of China’s economy and have strong economic power in dealing with the challenges of population ageing, but how to make population ageing compatible with the economy and society, and then promote sustainable population development, is a topic that needs further attention in the study.

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Section: Methodsmentioning

confidence: 99%

Study on the development characteristics and spatial and temporal patterns of population ageing in 31 central cities in China

Zhang,

Ren,

2024

Front. Public Health

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“…As globalization accelerates, urban agglomerations (UAs) increasingly become pivotal nodes for economic growth and innovation, playing an essential role in the evolution of economic development patterns [1][2][3]. 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].…”

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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Government-led regional integration and economic growth: Evidence from a quasi-natural experiment of urban agglomeration development planning policies in China

Guo,

Tang,

et al. 2025

Cities

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How do urban agglomerations drive economic development? A policy implementation and spatial effects perspective

Cited by 8 publications

References 84 publications

Study on the development characteristics and spatial and temporal patterns of population ageing in 31 central cities in China

Study on the development characteristics and spatial and temporal patterns of population ageing in 31 central cities in China

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

Government-led regional integration and economic growth: Evidence from a quasi-natural experiment of urban agglomeration development planning policies in China

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