Urban-rural income disparities and atmospheric contamination: Aggravating or restraining?

被引:0
|
作者
Wu, Chuanhao [1 ]
Zhang, Zhixin [1 ]
Elahi, Ehsan [1 ]
Mu, Guoting [1 ]
Zhao, Peng [1 ]
机构
[1] Shandong Univ Technol SDUT, Sch Econ, Zibo, Shandong, Peoples R China
关键词
atmospheric contamination; climate change; urban-rural income disparities; China; spatial lag model; AGGREGATION BIAS; ECONOMIC-GROWTH; INEQUALITY; POLLUTION; EMISSIONS;
D O I
10.3389/fenvs.2022.1015857
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This article constructed the local effect and significant interaction model of the urban-rural income disparities with atmospheric contamination and conducted theoretical analysis and empirical tested the urban-rural income disparity influences regional atmospheric contamination. Data were collected from 30 Chinese provinces from 2005 to 2019, and panel regression was employed. The empirical results found that the widening income disparities between urban and rural areas will significantly increase local atmospheric contamination, and there is a significant spatial dependence on regional atmospheric contamination. When the atmospheric contamination in the immediate region is severe, the local atmospheric contamination also worsens. At the same time, the spatial spillover effect of the central area on the surrounding atmospheric contamination is significant and positively affected by the urban-rural income disparities in the central area. Expanding the urban-rural disparities will significantly increase the atmospheric contamination in central and surrounding areas. The regression results were still robust after replacing the core variables and the spatial weight calculation method. Furthermore, results found the income disparities between urban and rural areas to increase agricultural chemicals investment and rural non-agricultural economic output. It significantly and positively influenced atmospheric contamination. The income disparities between urban and rural areas of atmospheric pollution around the region were heterogeneity. The widening income disparities can significantly increase atmospheric contamination levels in less technologically advanced and more polluted areas.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] The Impact of Urban-Rural Income Inequality on Environmental Quality in China
    De Xiao
    Yu, Fan
    Yang, Hong
    [J]. COMPLEXITY, 2022, 2022
  • [42] Spatial Effects of Domestic Tourism on Urban-Rural Income Inequality
    Zeng, Zhixin
    Wang, Xiaojun
    [J]. SUSTAINABILITY, 2021, 13 (16)
  • [43] Export structures, income inequality and urban-rural divide in China
    Zhu, Shengjun
    Yu, Changda
    He, Canfei
    [J]. APPLIED GEOGRAPHY, 2020, 115
  • [44] The Impact of FDI on China's Urban-Rural Income Gap
    Shi, Lifan
    Zhu, Changchun
    Tang, Decai
    Boamah, Valentina
    [J]. SUSTAINABILITY, 2022, 14 (20)
  • [45] The Impact of Climate Change on the Urban-Rural Income Gap in China
    Xie, Yifeng
    Wu, Haitao
    Yao, Ruikuan
    [J]. AGRICULTURE-BASEL, 2023, 13 (09):
  • [46] A Study on the Effect of Urban-Rural Income Gap to Labor Mobility
    Zhang Zhenxing
    Zhang Jiansheng
    [J]. PROCEEDINGS OF 2010 INTERNATIONAL SYMPOSIUM - LABOR EMPLOYMENT AND INCOME DISTRIBUTION STUDIES, 2010, : 105 - 108
  • [47] Investigating the influence of transport accessibility on urban-rural income gaps
    Li, Ling
    Zhou, Haidong
    Chen, Yuan
    Liu, Bingsheng
    Shen, Yinghua
    Zheng, Meiyu
    [J]. APPLIED ECONOMICS, 2023,
  • [48] Effect of industrial structure on urban-rural income inequality in China
    Chen, Diandian
    Ma, Yong
    [J]. CHINA AGRICULTURAL ECONOMIC REVIEW, 2022, 14 (03) : 547 - 566
  • [49] The Dynamics of Urban-rural Income Inequality in China: A Nonparametric Approach
    Xu Bing
    Zhang Shangfeng
    [J]. RECENT ADVANCE IN STATISTICS APPLICATION AND RELATED AREAS, VOLS I AND II, 2009, : 2563 - 2568
  • [50] The analysis on economic development and urban-rural income gap of China
    Zhang, Ying
    [J]. 2012 FOURTH INTERNATIONAL CONFERENCE ON MULTIMEDIA INFORMATION NETWORKING AND SECURITY (MINES 2012), 2012, : 843 - 846