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246 results on '"Chuai, Xiaowei"'

30. Spatial Interaction and Driving Factors between Urban Land Expansion and Population Change in China.

Author

Meng, Hao, Liu, Qianming, Yang, Jun, Li, Jianbao, Chuai, Xiaowei, and Huang, Xianjin

Subjects
SUSTAINABLE urban development, URBAN growth, CITIES & towns, POPULATION of China, CITY dwellers, URBANIZATION, COINCIDENCE
Abstract

The rational matching of urban land and population has become an important prerequisite for sustainable urban development. In this paper, the traditional urban land scale elasticity model was improved, and combined with the gravity model, the spatial interaction between land expansion and population change in 618 cities in China during the period 2006–2021 was investigated. The geographical detector method was used to reveal what drives them. The main results were as follows: (1) China's urban land expansion rate was 1.83 times faster than the population growth rate during 2006–2021. After the implementation of the New-type Urbanisation Plan in 2014, the ratio of land expansion rate to population growth rate dropped from 2.46 to 1.12. (2) Among the six interaction types identified, land rapid expansion is the most significant, accounting for 41.59% of urban samples. (3) The geographical detector method found that the indicators of urban development rights such as the level of administrative hierarchy and the ratio of fiscal revenue to fiscal expenditure were the main factors affecting land expansion and that economic indicators such as gross domestic product and employment opportunities dominated population change. Fortunately, the intervention role of urban development rights has declined, and the constraints of market mechanisms, resources and environment have gradually become the dominant factors in urban land expansion and population change. These findings provide a theoretical basis for alleviating the human–land contradiction and achieving sustainable urban development. [ABSTRACT FROM AUTHOR]

Published
2024
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43. Inequality characteristics and influencing factors of CO2 emissions per capita in Jiangsu Province, China.

Author

Li, Jianbao, Huang, Xianjin, Chuai, Xiaowei, Yang, Hong, Chen, Hongmei, Li, Ying, and Wu, Changyan

Subjects
REGIONAL development, AUTOREGRESSIVE models, GINI coefficient, GREENHOUSE gas mitigation, CARBON emissions
Abstract

Analyzing the inequality characteristics and influencing factors of CO2 emissions per capita (CEPC) is conducive to balancing regional development and CO2 emissions reduction. This study applied the Gini coefficient and Theil index to investigate the CEPC inequalities during 2005–2017 at the county level in Jiangsu Province, China. Considering the spatial spillover and interaction effects, the factors influencing CEPC were analyzed by a hierarchical spatial autoregressive model. The results showed that the inequalities in CEPC first increased and then decreased at the inter-regional, and inter-county levels. The spatial pattern of CEPC was stable, and there was a significantly positive spatial autocorrelation of CEPC at the county level. The High-High type counties were mainly located in Sunan (southern Jiangsu). The spatial interaction effects of the CEPC between the prefecture and county levels indicated that governments at the prefecture level should integrate their county governments to reduce the CEPC. Moreover, carbon intensity, GDP per capita, land urbanization, and industrial structure play an important role in reducing CEPC. Our findings provide a scientific basis for formulating reasonable and effective carbon emission reduction policies. [ABSTRACT FROM AUTHOR]

Published
2024
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