IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i14p11475-d1201556.html
   My bibliography  Save this article

Impact of the Urban-Rural Income Disparity on Carbon Emission Efficiency Based on a Dual Perspective of Consumption Level and Structure

Author

Listed:
  • Xiuqing Zou

    (School of Economics and Management, Shanghai University of Electric Power, Shanghai 201306, China)

  • Tianyue Ge

    (School of Economics and Management, Shanghai University of Electric Power, Shanghai 201306, China)

  • Sheng Xing

    (School of Economics and Management, Shanghai University of Electric Power, Shanghai 201306, China)

Abstract

Utilizing Chinese provincial panel data from 2006–2019, this paper applies the super-efficient epsilon-based measure (EBM) model including non-desired output to measure carbon emission efficiency (CE) and analyze spatio-temporal characteristics of CE, in which social fixed asset investment, energy consumption and urban employment per unit are used as input indicators and regional GDP and CO2 emissions are used as output indicators. Additionally, we use the spatial Durbin model to explore the impact of urban-rural income disparity (URID) on carbon emission efficiency and its spatial spillover effect and explore indirect mechanisms of consumption level and consumption structure on CE using mediating effect test. The results showed that: (1) The national CE level generally declined between 2006–2012 and fluctuated upward from 2013–2019. The trend of regional CE showed “high in the east and low in the west”. (2) The “inverted U” model accurately reflects the relationship between national CE and URID, with a “U” shaped association in the central, western, and northeastern regions, and a positive correlation with consumption level and consumption structure. (3) There is a significant mediating effect of consumption level and structure in the mechanism of URID in regulating CE. Local governments should adopt local policies, take measures to narrow URID and CLD, advocate low-carbon and environmentally friendly living for residents, and promote the upgrading of consumption structure to boost carbon emission efficiency.

Suggested Citation

  • Xiuqing Zou & Tianyue Ge & Sheng Xing, 2023. "Impact of the Urban-Rural Income Disparity on Carbon Emission Efficiency Based on a Dual Perspective of Consumption Level and Structure," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11475-:d:1201556
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/14/11475/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/14/11475/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sager, Lutz, 2019. "Income inequality and carbon consumption: Evidence from Environmental Engel curves," Energy Economics, Elsevier, vol. 84(S1).
    2. Pengju Liu & Yitong Zhang & Shengqi Zhou, 2023. "Has Digital Financial Inclusion Narrowed the Urban–Rural Income Gap? A Study of the Spatial Influence Mechanism Based on Data from China," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    3. Liu, Qianqian & Wang, Shaojian & Zhang, Wenzhong & Li, Jiaming & Kong, Yunlong, 2019. "Examining the effects of income inequality on CO2 emissions: Evidence from non-spatial and spatial perspectives," Applied Energy, Elsevier, vol. 236(C), pages 163-171.
    4. Yingzi Chen & Wanwan Yang & Yaqi Hu, 2022. "Internet Development, Consumption Upgrading and Carbon Emissions—An Empirical Study from China," IJERPH, MDPI, vol. 20(1), pages 1-23, December.
    5. Sheng, Pengfei & Li, Jun & Zhai, Mengxin & Huang, Shoujun, 2020. "Coupling of economic growth and reduction in carbon emissions at the efficiency level: Evidence from China," Energy, Elsevier, vol. 213(C).
    6. Scruggs, Lyle A., 1998. "Political and economic inequality and the environment," Ecological Economics, Elsevier, vol. 26(3), pages 259-275, September.
    7. Abebe Hailemariam & Ratbek Dzhumashev & Muhammad Shahbaz, 2020. "Carbon emissions, income inequality and economic development," Empirical Economics, Springer, vol. 59(3), pages 1139-1159, September.
    8. Zhang, Chuanguo & Zhao, Wei, 2014. "Panel estimation for income inequality and CO2 emissions: A regional analysis in China," Applied Energy, Elsevier, vol. 136(C), pages 382-392.
    9. Waed Safar, 2022. "Income inequality and CO2 emissions in France: Does income inequality indicator matter?," Post-Print hal-03757210, HAL.
    10. Caner Demir & Raif Cergibozan & Adem Gök, 2019. "Income inequality and CO2 emissions: Empirical evidence from Turkey," Energy & Environment, , vol. 30(3), pages 444-461, May.
    11. Dou, Yue & Zhao, Jun & Dong, Xiucheng & Dong, Kangyin, 2021. "Quantifying the impacts of energy inequality on carbon emissions in China: A household-level analysis," Energy Economics, Elsevier, vol. 102(C).
    12. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    13. Sueyoshi, Toshiyuki & Li, Aijun & Liu, Xiaohong, 2019. "Exploring sources of China's CO2 emission: Decomposition analysis under different technology changes," European Journal of Operational Research, Elsevier, vol. 279(3), pages 984-995.
    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. Tobias Angel & Alexandre Berthe & Valeria Costantini & Mariagrazia D’Angeli, 2024. "How the nature of inequality reduction matters for CO2 emissions," Working Papers 2024.14, Fondazione Eni Enrico Mattei.
    2. Recep Ulucak & Danish & Yaoqi Zhang & Rui Chen & Yiting Qiu, 2024. "Income Inequality, Economic Complexity, and Renewable Energy Impacts in Controlling Consumption-Based Carbon Emissions," Evaluation Review, , vol. 48(1), pages 119-142, February.
    3. Baoxi Li & De Xiao, 2021. "The Impact of Income Inequality on Subjective Environmental Pollution: Individual Evidence from China," IJERPH, MDPI, vol. 18(15), pages 1-26, July.
    4. Wan, Guanghua & Wang, Chen & Wang, Jinxian & Zhang, Xun, 2022. "The income inequality-CO2 emissions nexus: Transmission mechanisms," Ecological Economics, Elsevier, vol. 195(C).
    5. Salih Ozturk & Murat Cetin & Harun Demir, 2022. "Income inequality and CO2 emissions: nonlinear evidence from Turkey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(10), pages 11911-11928, October.
    6. Soumen Rej & Barnali Nag & Md. Emran Hossain, 2024. "Foreign Direct Investment, Income Inequality and Pollution Reduction: Policy Trilemma for India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 174(1), pages 221-248, August.
    7. Dorn, Franziska & Maxand, Simone & Kneib, Thomas, 2024. "The nonlinear dependence of income inequality and carbon emissions: Potentials for a sustainable future," Ecological Economics, Elsevier, vol. 216(C).
    8. Obadiah Jonathan Gimba & Abdulkareem Alhassan & Huseyin Ozdeser & Wafa Ghardallou & Mehdi Seraj & Ojonugwa Usman, 2023. "Towards low carbon and sustainable environment: does income inequality mitigate ecological footprints in Sub-Saharan Africa?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 10425-10445, September.
    9. Bo Yang & Minhaj Ali & Shujahat Haider Hashmi & Mohsin Shabir, 2020. "Income Inequality and CO 2 Emissions in Developing Countries: The Moderating Role of Financial Instability," Sustainability, MDPI, vol. 12(17), pages 1-24, August.
    10. Shi Wang & Wen Zhang & Hua Wang & Jue Wang & Mu-Jun Jiang, 2021. "How Does Income Inequality Influence Environmental Regulation in the Context of Corruption? A Panel Threshold Analysis Based on Chinese Provincial Data," IJERPH, MDPI, vol. 18(15), pages 1-18, July.
    11. Nicholas Marinucci & Kris Ivanovski, 2023. "Does Inequality Affect Climate Change? A Regional and Sectoral Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 166(3), pages 705-729, April.
    12. Kopp, Thomas & Nabernegg, Markus, 2022. "Inequality and Environmental Impact – Can the Two Be Reduced Jointly?," Ecological Economics, Elsevier, vol. 201(C).
    13. Dong, Kangyin & Wang, Bo & Zhao, Jun & Taghizadeh-Hesary, Farhad, 2022. "Mitigating carbon emissions by accelerating green growth in China," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 226-243.
    14. Yulin Liu & Min Zhang & Rujia Liu, 2020. "The Impact of Income Inequality on Carbon Emissions in China: A Household-Level Analysis," Sustainability, MDPI, vol. 12(7), pages 1-22, March.
    15. Hou, Aoyu & Liu, Ao & Chai, Li, 2024. "Does reducing income inequality promote the decoupling of economic growth from carbon footprint?," World Development, Elsevier, vol. 173(C).
    16. Li, Baoxi & Cheng, Shixiong & Xiao, De, 2020. "The impacts of environmental pollution and brain drain on income inequality," China Economic Review, Elsevier, vol. 62(C).
    17. Uddin, Md. Main & Mishra, Vinod & Smyth, Russell, 2020. "Income inequality and CO2 emissions in the G7, 1870–2014: Evidence from non-parametric modelling," Energy Economics, Elsevier, vol. 88(C).
    18. Wang, Jianda & Dong, Kangyin & Sha, Yezhou & Yan, Cheng, 2022. "Envisaging the carbon emissions efficiency of digitalization: The case of the internet economy for China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    19. Liu, Qianqian & Wang, Shaojian & Zhang, Wenzhong & Li, Jiaming & Kong, Yunlong, 2019. "Examining the effects of income inequality on CO2 emissions: Evidence from non-spatial and spatial perspectives," Applied Energy, Elsevier, vol. 236(C), pages 163-171.
    20. Junjun Tang & Xing Zhao, 2023. "Does the new digital infrastructure improve total factor productivity?," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 895-916, October.

    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:gam:jsusta:v:15:y:2023:i:14:p:11475-:d:1201556. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.