IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v295y2024ics0360544224008399.html
   My bibliography  Save this article

How does the natural disasters affect urban-rural income gap? Empirical evidence from China

Author

Listed:
  • Lin, Boqiang
  • Wang, You

Abstract

Preventing the impact of natural disasters on urban-rural income inequality helps to achieve shared prosperity. This paper uses the functional entropy weight method to calculate the level of natural disasters from 2004 to 2020. Then, this paper discusses the impact of natural disasters on the urban-rural income gap. The empirical results are as follows. (1) Natural disasters have expanded the urban-rural income gap. The regression coefficient is 0.2663, which is significant at the 1% level. (2) In areas with a high proportion of the rural population, the impact of natural disasters is more prominent. (3) Mechanism analysis indicates that natural disasters have widened the urban-rural income gap by restraining rural investment and agricultural production. Finally, this paper suggests strengthening investment in the agricultural sector to mitigate the negative impact of natural disasters.

Suggested Citation

  • Lin, Boqiang & Wang, You, 2024. "How does the natural disasters affect urban-rural income gap? Empirical evidence from China," Energy, Elsevier, vol. 295(C).
  • Handle: RePEc:eee:energy:v:295:y:2024:i:c:s0360544224008399
    DOI: 10.1016/j.energy.2024.131067
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224008399
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.131067?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hao, Yu & Wang, Ling'ou & Zhu, Lingyun & Ye, Minjie, 2018. "The dynamic relationship between energy consumption, investment and economic growth in China's rural area: New evidence based on provincial panel data," Energy, Elsevier, vol. 154(C), pages 374-382.
    2. Yuan, Yuan & Wang, Mingshu & Zhu, Yi & Huang, Xianjin & Xiong, Xuefeng, 2020. "Urbanization’s effects on the urban-rural income gap in China: A meta-regression analysis," Land Use Policy, Elsevier, vol. 99(C).
    3. Li, Zheng & Luan, Ranran & Lin, Boqiang, 2022. "The trend and factors affecting renewable energy distribution and disparity across countries," Energy, Elsevier, vol. 254(PB).
    4. Gong, Xu & Wang, You & Lin, Boqiang, 2021. "Assessing dynamic China’s energy security: Based on functional data analysis," Energy, Elsevier, vol. 217(C).
    5. Tang, Le & Sun, Shiyu, 2022. "Fiscal incentives, financial support for agriculture, and urban-rural inequality," International Review of Financial Analysis, Elsevier, vol. 80(C).
    6. Yang, Hongbo & Dietz, Thomas & Yang, Wu & Zhang, Jindong & Liu, Jianguo, 2018. "Changes in Human Well-being and Rural Livelihoods Under Natural Disasters," Ecological Economics, Elsevier, vol. 151(C), pages 184-194.
    7. Ma, Sining & Guo, Siyue & Zheng, Dingqian & Chang, Shiyan & Zhang, Xiliang, 2021. "Roadmap towards clean and low carbon heating to 2035: A provincial analysis in northern China," Energy, Elsevier, vol. 225(C).
    8. Paglialunga, Elena & Coveri, Andrea & Zanfei, Antonello, 2022. "Climate change and within-country inequality: New evidence from a global perspective," World Development, Elsevier, vol. 159(C).
    9. Wang, Weijun & Zhao, Xueyan & Cao, Jianjun & Li, Hua & Zhang, Qin, 2020. "Barriers and requirements to climate change adaptation of mountainous rural communities in developing countries: The case of the eastern Qinghai-Tibetan Plateau of China," Land Use Policy, Elsevier, vol. 95(C).
    10. Candau, Fabien & Regnacq, Charles & Schlick, Julie, 2022. "Climate change, comparative advantage and the water capability to produce agricultural goods," World Development, Elsevier, vol. 158(C).
    11. Gunby, Philip & Jin, Yinghua & Robert Reed, W., 2017. "Did FDI Really Cause Chinese Economic Growth? A Meta-Analysis," World Development, Elsevier, vol. 90(C), pages 242-255.
    12. Khan, Muhammad Tariq Iqbal & Anwar, Sofia, 2022. "Natural disasters and foreign exchange reserves: The role of renewable energy and human capital," Renewable Energy, Elsevier, vol. 192(C), pages 838-848.
    13. Narasimha D. Rao & Bas J. van Ruijven & Keywan Riahi & Valentina Bosetti, 2017. "Improving poverty and inequality modelling in climate research," Nature Climate Change, Nature, vol. 7(12), pages 857-862, December.
    14. Andor, Mark A. & Osberghaus, Daniel & Simora, Michael, 2020. "Natural Disasters and Governmental Aid: Is there a Charity Hazard?," Ecological Economics, Elsevier, vol. 169(C).
    15. Zhao, Xin-Xin & Zheng, Mingbo & Fu, Qiang, 2022. "How natural disasters affect energy innovation? The perspective of environmental sustainability," Energy Economics, Elsevier, vol. 109(C).
    16. Zheng, Xiaodong & Fang, Zuyi & Wang, Yajun & Fang, Xiangming, 2022. "When left-behind children become adults and parents: The long-term human capital consequences of parental absence in China," China Economic Review, Elsevier, vol. 74(C).
    17. Shen, Zhiyang & Wang, Songkai & Boussemart, Jean-Philippe & Hao, Yu, 2022. "Digital transition and green growth in Chinese agriculture," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    18. Angelsen, Arild & Dokken, Therese, 2018. "Climate exposure, vulnerability and environmental reliance: a cross-section analysis of structural and stochastic poverty," Environment and Development Economics, Cambridge University Press, vol. 23(3), pages 257-278, June.
    19. Klomp, Jeroen & Hoogezand, Barry, 2018. "Natural disasters and agricultural protection: A panel data analysis," World Development, Elsevier, vol. 104(C), pages 404-417.
    20. Vrain, E. & Wilson, C. & Kerr, L. & Wilson, M., 2022. "Social influence in the adoption of digital consumer innovations for climate change," Energy Policy, Elsevier, vol. 162(C).
    21. Zhang, Hongyu & Zhang, Da & Guo, Siyue & Zhang, Xiliang, 2024. "Impact of benchmark tightening design under output-based ETS on China's power sector," Energy, Elsevier, vol. 288(C).
    22. Xiaolei Yang & Lingyun He & Sihua Tian & Yufei Xia & Deqing Wang, 2021. "Construction of China’s Green Institutional Environmental Index: Using Functional Data Analysis method," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(2), pages 559-582, April.
    23. Molina, Renato, 2022. "The lack of property rights can make natural disasters worse: The case of small-scale fisheries in Chile," Ecological Economics, Elsevier, vol. 200(C).
    24. Li, Sheng & Nadolnyak, Denis & Hartarska, Valentina, 2019. "Agricultural land conversion: Impacts of economic and natural risk factors in a coastal area," Land Use Policy, Elsevier, vol. 80(C), pages 380-390.
    25. Wang, You & Gong, Xu, 2022. "Analyzing the difference evolution of provincial energy consumption in China using the functional data analysis method," Energy Economics, Elsevier, vol. 105(C).
    26. Zhang, Yihao & Wu, Ya & Yan, Jianzhong & Peng, Ting, 2022. "How does rural labor migration affect crop diversification for adapting to climate change in the Hehuang Valley, Tibetan Plateau?," Land Use Policy, Elsevier, vol. 113(C).
    27. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin & Jiang, Hongdian, 2022. "How does industrial structure adjustment reduce CO2 emissions? Spatial and mediation effects analysis for China," Energy Economics, Elsevier, vol. 105(C).
    28. Chen, Hao & Liu, Simin & Liu, Qiufeng & Shi, Xueli & Wei, Wendong & Han, Rong & Küfeoğlu, Sinan, 2021. "Estimating the impacts of climate change on electricity supply infrastructure: A case study of China," Energy Policy, Elsevier, vol. 150(C).
    29. Wang, You & Gong, Xu, 2020. "Does financial development have a non-linear impact on energy consumption? Evidence from 30 provinces in China," Energy Economics, Elsevier, vol. 90(C).
    30. Molero-Simarro, Ricardo, 2017. "Inequality in China revisited. The effect of functional distribution of income on urban top incomes, the urban-rural gap and the Gini index, 1978–2015," China Economic Review, Elsevier, vol. 42(C), pages 101-117.
    31. Luo, Chuliang & Li, Shi & Sicular, Terry, 2020. "The long-term evolution of national income inequality and rural poverty in China," China Economic Review, Elsevier, vol. 62(C).
    32. Asfaw, Solomon & Pallante, Giacomo & Palma, Alessandro, 2020. "Distributional impacts of soil erosion on agricultural productivity and welfare in Malawi," Ecological Economics, Elsevier, vol. 177(C).
    33. Zhang, Huafeng, 2017. "Opportunity or new poverty trap: Rural-urban education disparity and internal migration in China," China Economic Review, Elsevier, vol. 44(C), pages 112-124.
    34. Xue, Yan & Tang, Chang & Wu, Haitao & Liu, Jianmin & Hao, Yu, 2022. "The emerging driving force of energy consumption in China: Does digital economy development matter?," Energy Policy, Elsevier, vol. 165(C).
    35. Barbier, Edward B. & Hochard, Jacob P., 2018. "Poverty, rural population distribution and climate change," Environment and Development Economics, Cambridge University Press, vol. 23(3), pages 234-256, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lin, Boqiang & Wang, You, 2024. "How does natural disasters affect China agricultural economic growth?," Energy, Elsevier, vol. 296(C).
    2. Elena Paglialunga & Andrea Coveri & Antonello Zanfei, 2020. "Climate change and inequality in a global context. Exploring climate induced disparities and the reaction of economic systems," Working Papers 2003, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2020.
    3. Paglialunga, Elena & Coveri, Andrea & Zanfei, Antonello, 2022. "Climate change and within-country inequality: New evidence from a global perspective," World Development, Elsevier, vol. 159(C).
    4. Wang, You & Gong, Xu, 2022. "Analyzing the difference evolution of provincial energy consumption in China using the functional data analysis method," Energy Economics, Elsevier, vol. 105(C).
    5. Tang, Jianjun & Gong, Jiaowei & Ma, Wanglin & Rahut, Dil Bahadur, 2022. "Narrowing urban–rural income gap in China: The role of the targeted poverty alleviation program," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 74-90.
    6. Li, Xitong & He, Peiming & Liao, Honglin & Liu, Jindan & Chen, Litai, 2024. "Does network infrastructure construction reduce urban–rural income inequality? Based on the “Broadband China” policy," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    7. Yang, Zhen & Gao, Weijun & Han, Qing & Qi, Liyan, 2024. "Aggravating or alleviating? Smart city construction and urban inequality in China," Technology in Society, Elsevier, vol. 77(C).
    8. Huang, Ruting & Yao, Xin, 2023. "The role of power transmission infrastructure in income inequality: Fresh evidence from China," Energy Policy, Elsevier, vol. 177(C).
    9. Jianxu Liu & Xiaoqing Li & Shutong Liu & Sanzidur Rahman & Songsak Sriboonchitta, 2022. "Addressing Rural–Urban Income Gap in China through Farmers’ Education and Agricultural Productivity Growth via Mediation and Interaction Effects," Agriculture, MDPI, vol. 12(11), pages 1-23, November.
    10. Zhixin Zeng & Xiaojun Wang, 2021. "Effects of Domestic Tourism on Urban-Rural Income Inequality: Evidence from China," Sustainability, MDPI, vol. 13(16), pages 1-21, August.
    11. Lee, Chien-Chiang & Yan, Jingyang & Wang, Fuhao, 2024. "Impact of population aging on food security in the context of artificial intelligence: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    12. He, Congxian & Zhou, Can & Wen, Huwei, 2024. "Improving the consumer welfare of rural residents through public support policies: A study on old revolutionary areas in China," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    13. Luo, Haotian & Hu, Qing, 2024. "A re-examination of the influence of human capital on urban-rural income gap in China: College enrollment expansion, digital economy and spatial spillover," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 494-519.
    14. Ma, Ruiyang & Lin, Boqiang, 2023. "Digitalization and energy-saving and emission reduction in Chinese cities: Synergy between industrialization and digitalization," Applied Energy, Elsevier, vol. 345(C).
    15. Tao, Dongjie & He, Lingyun & Hamilton, Jonathan & Xu, Ding, 2021. "Children's marriage and parental subjective well-being: Evidence from China," China Economic Review, Elsevier, vol. 70(C).
    16. Xu, Yujie & Wang, Yinan, 2023. "Has financial development made income more equal? – From the perspective of regional development imbalance," International Review of Financial Analysis, Elsevier, vol. 90(C).
    17. Shi, Xuanyi & Lin, Yongjia & Wang, Yizhi, 2024. "Institutional investor heterogeneity and green innovation in China: Does digital transformation matter?," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 994-1014.
    18. Lin, Boqiang & Zhou, Yicheng, 2022. "Measuring the green economic growth in China: Influencing factors and policy perspectives," Energy, Elsevier, vol. 241(C).
    19. Wang, Feiran & Zhuang, Lu & Cheng, Shasha & Zhang, Yue & Cheng, Shulei, 2024. "Spatiotemporal variation and convergence analysis of China's regional energy security," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    20. Wang, Jianda & Dong, Kangyin & Wang, Kun, 2023. "Towards green recovery: Platform economy and its impact on carbon emissions in China," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 969-987.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:295:y:2024:i:c:s0360544224008399. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.