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Income inequality, energy poverty, and energy efficiency: Who cause who and how?

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  • Dong, Kangyin
  • Dou, Yue
  • Jiang, Qingzhe

Abstract

Addressing income inequality and energy poverty have become priorities in China's policy agenda. To explore the impacts of energy efficiency on income inequality and energy poverty in China, this study constructs a dynamic panel model using a balanced panel dataset covering 30 provinces for the period 2004-2017. By applying the system-generalized method of moments (SYS-GMM), we estimate the role of energy efficiency and conduct a regional heterogeneous and asymmetric analysis. We also discuss the potential moderating effects in the relationship between energy efficiency and energy poverty as well as income inequality. The main findings show that (i) improved energy efficiency can simultaneously alleviate income inequality and energy poverty, (ii) significant heterogeneity and asymmetry exist in the impacts of energy efficiency on energy poverty and income inequality, and (iii) the government can alleviate income inequality and energy poverty by enhancing the contribution of energy efficiency through technological evolution and increased support for green innovation. Based on the above findings, this study proposes several policy implications to reduce income inequality and energy poverty.

Suggested Citation

  • Dong, Kangyin & Dou, Yue & Jiang, Qingzhe, 2022. "Income inequality, energy poverty, and energy efficiency: Who cause who and how?," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    • Handle: RePEc:eee:tefoso:v:179:y:2022:i:c:s0040162522001548
    DOI: 10.1016/j.techfore.2022.121622
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    1. Dennis Tao Yang, 1999. "Urban-Biased Policies and Rising Income Inequality in China," American Economic Review, American Economic Association, vol. 89(2), pages 306-310, May.
    2. Dong, Kangyin & Dong, Xiucheng & Ren, Xiaohang, 2020. "Can expanding natural gas infrastructure mitigate CO2 emissions? Analysis of heterogeneous and mediation effects for China," Energy Economics, Elsevier, vol. 90(C).
    3. Jun Zhao & Xiucheng Dong & Kangyin Dong, 2021. "Can agglomeration of producer services reduce urban–rural income inequality? The case of China," Australian Economic Papers, Wiley Blackwell, vol. 60(4), pages 736-762, December.
    4. Oum, Sothea, 2019. "Energy poverty in the Lao PDR and its impacts on education and health," Energy Policy, Elsevier, vol. 132(C), pages 247-253.
    5. Bhide, Anjali & Monroy, Carlos Rodríguez, 2011. "Energy poverty: A special focus on energy poverty in India and renewable energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 1057-1066, February.
    6. Ren, Xiaohang & Duan, Kun & Tao, Lizhu & Shi, Yukun & Yan, Cheng, 2022. "Carbon prices forecasting in quantiles," Energy Economics, Elsevier, vol. 108(C).
    7. Pereira, Marcio Giannini & Freitas, Marcos Aurélio Vasconcelos & da Silva, Neilton Fidelis, 2010. "Rural electrification and energy poverty: Empirical evidences from Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(4), pages 1229-1240, May.
    8. Akram, Rabia & Chen, Fuzhong & Khalid, Fahad & Huang, Guanhua & Irfan, Muhammad, 2021. "Heterogeneous effects of energy efficiency and renewable energy on economic growth of BRICS countries: A fixed effect panel quantile regression analysis," Energy, Elsevier, vol. 215(PB).
    9. Shahbaz, Muhammad & Nasir, Muhammad Ali & Roubaud, David, 2018. "Environmental degradation in France: The effects of FDI, financial development, and energy innovations," Energy Economics, Elsevier, vol. 74(C), pages 843-857.
    10. Dong, Kangyin & Ren, Xiaohang & Zhao, Jun, 2021. "How does low-carbon energy transition alleviate energy poverty in China? A nonparametric panel causality analysis," Energy Economics, Elsevier, vol. 103(C).
    11. Juan Aranda & Ignacio Zabalza & Andrea Conserva & Gema Millán, 2017. "Analysis of Energy Efficiency Measures and Retrofitting Solutions for Social Housing Buildings in Spain as a Way to Mitigate Energy Poverty," Sustainability, MDPI, vol. 9(10), pages 1-22, October.
    12. Ghosh, Sajal & Kanjilal, Kakali, 2014. "Long-term equilibrium relationship between urbanization, energy consumption and economic activity: Empirical evidence from India," Energy, Elsevier, vol. 66(C), pages 324-331.
    13. Stephen K. Layson, 2015. "The increasing returns to scale CES production function and the law of diminishing marginal returns," Southern Economic Journal, John Wiley & Sons, vol. 82(2), pages 408-415, October.
    14. Topcu, Mert & Tugcu, Can Tansel, 2020. "The impact of renewable energy consumption on income inequality: Evidence from developed countries," Renewable Energy, Elsevier, vol. 151(C), pages 1134-1140.
    15. Dong, Xiao-Ying & Hao, Yu, 2018. "Would income inequality affect electricity consumption? Evidence from China," Energy, Elsevier, vol. 142(C), pages 215-227.
    16. Rosenow, Jan & Bayer, Edith, 2017. "Costs and benefits of Energy Efficiency Obligations: A review of European programmes," Energy Policy, Elsevier, vol. 107(C), pages 53-62.
    17. Haeussler, Carolin & Patzelt, Holger & Zahra, Shaker A., 2012. "Strategic alliances and product development in high technology new firms: The moderating effect of technological capabilities," Journal of Business Venturing, Elsevier, vol. 27(2), pages 217-233.
    18. Mendoza, Celedonio B. & Cayonte, Dwane Darcy D. & Leabres, Michael S. & Manaligod, Lana Rose A., 2019. "Understanding multidimensional energy poverty in the Philippines," Energy Policy, Elsevier, vol. 133(C).
    19. Sam Aflaki & Paul R. Kleindorfer & Victor Sáenz Miera Polvorinos, 2013. "Finding and Implementing Energy Efficiency Projects in Industrial Facilities," Post-Print hal-00823923, HAL.
    20. Drescher, Katharina & Janzen, Benedikt, 2021. "Determinants, persistence, and dynamics of energy poverty: An empirical assessment using German household survey data," Energy Economics, Elsevier, vol. 102(C).
    21. Thomson, Harriet & Snell, Carolyn, 2013. "Quantifying the prevalence of fuel poverty across the European Union," Energy Policy, Elsevier, vol. 52(C), pages 563-572.
    22. Xiaohang Ren & Cheng Cheng & Zhen Wang & Cheng Yan, 2021. "Spillover and dynamic effects of energy transition and economic growth on carbon dioxide emissions for the European Union: A dynamic spatial panel model," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(1), pages 228-242, January.
    23. Li, Weiqing & Chien, Fengsheng & Hsu, Ching-Chi & Zhang, YunQian & Nawaz, Muhammad Atif & Iqbal, Sajid & Mohsin, Muhammad, 2021. "Nexus between energy poverty and energy efficiency: Estimating the long-run dynamics," Resources Policy, Elsevier, vol. 72(C).
    24. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    25. Rajbhandari, Ashish & Zhang, Fan, 2018. "Does energy efficiency promote economic growth? Evidence from a multicountry and multisectoral panel dataset," Energy Economics, Elsevier, vol. 69(C), pages 128-139.
    26. Stephen K. Layson, 2015. "The increasing returns to scale CES production function and the law of diminishing marginal returns," Southern Economic Journal, Southern Economic Association, vol. 82(2), pages 408-415, October.
    27. Tajudeen, Ibrahim A. & Wossink, Ada & Banerjee, Prasenjit, 2018. "How significant is energy efficiency to mitigate CO2 emissions? Evidence from OECD countries," Energy Economics, Elsevier, vol. 72(C), pages 200-221.
    28. Zhang, Dayong & Li, Jiajia & Han, Phoumin, 2019. "A multidimensional measure of energy poverty in China and its impacts on health: An empirical study based on the China family panel studies," Energy Policy, Elsevier, vol. 131(C), pages 72-81.
    29. Dong, Kangyin & Jiang, Qingzhe & Shahbaz, Muhammad & Zhao, Jun, 2021. "Does low-carbon energy transition mitigate energy poverty? The case of natural gas for China," Energy Economics, Elsevier, vol. 99(C).
    30. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin, 2020. "Would environmental regulation improve the greenhouse gas benefits of natural gas use? A Chinese case study," Energy Economics, Elsevier, vol. 87(C).
    31. 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.
    32. Wang, Ke & Wang, Ya-Xuan & Li, Kang & Wei, Yi-Ming, 2015. "Energy poverty in China: An index based comprehensive evaluation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 308-323.
    33. Nicholas Apergis & Ruhul Salim, 2015. "Renewable energy consumption and unemployment: evidence from a sample of 80 countries and nonlinear estimates," Applied Economics, Taylor & Francis Journals, vol. 47(52), pages 5614-5633, November.
    34. Jean-Marie Chevalier & Nadia S. Ouédraogo, 2009. "Energy Poverty and Economic Development," Palgrave Macmillan Books, in: Jean-Marie Chevalier (ed.), The New Energy Crisis, chapter 4, pages 115-144, Palgrave Macmillan.
    35. Lin, Boqiang & Wang, Yao, 2020. "Does energy poverty really exist in China? From the perspective of residential electricity consumption," Energy Policy, Elsevier, vol. 143(C).
    36. Alem, Yonas & Demeke, Eyoual, 2020. "The persistence of energy poverty: A dynamic probit analysis," Energy Economics, Elsevier, vol. 90(C).
    37. Sadath, Anver C. & Acharya, Rajesh H., 2017. "Assessing the extent and intensity of energy poverty using Multidimensional Energy Poverty Index: Empirical evidence from households in India," Energy Policy, Elsevier, vol. 102(C), pages 540-550.
    38. Asongu, Simplice A. & Odhiambo, Nicholas M., 2021. "Inequality, finance and renewable energy consumption in Sub-Saharan Africa," Renewable Energy, Elsevier, vol. 165(P1), pages 678-688.
    39. Li, Yi & Sun, Linyan & Feng, Taiwen & Zhu, Chunyan, 2013. "How to reduce energy intensity in China: A regional comparison perspective," Energy Policy, Elsevier, vol. 61(C), pages 513-522.
    40. Okushima, Shinichiro, 2017. "Gauging energy poverty: A multidimensional approach," Energy, Elsevier, vol. 137(C), pages 1159-1166.
    41. Adom, Philip Kofi, 2015. "Asymmetric impacts of the determinants of energy intensity in Nigeria," Energy Economics, Elsevier, vol. 49(C), pages 570-580.
    42. Madhu Sehrawat & Sanjay Kumar Singh, 2021. "Do Corruption and Income Inequality Play Spoilsport in The Energy Efficiency-Growth Relationship in BRICS Countries?," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 727-746, December.
    43. Mohsen Bahmani-Oskooee & Scott W. Hegerty & Harvey Wilmeth, 2008. "Short-run and long-run determinants of income inequality: evidence from 16 countries," Journal of Post Keynesian Economics, M.E. Sharpe, Inc., vol. 30(3), pages 463-484, April.
    44. Lo, Kevin, 2014. "A critical review of China's rapidly developing renewable energy and energy efficiency policies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 508-516.
    45. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    46. Robert Houston & Dennis Wilson, 2002. "Income, leisure and proficiency: an economic study of football performance," Applied Economics Letters, Taylor & Francis Journals, vol. 9(14), pages 939-943.
    47. Albino, Vito & Ardito, Lorenzo & Dangelico, Rosa Maria & Messeni Petruzzelli, Antonio, 2014. "Understanding the development trends of low-carbon energy technologies: A patent analysis," Applied Energy, Elsevier, vol. 135(C), pages 836-854.
    48. Duro, Juan Antonio & Alcántara, Vicent & Padilla, Emilio, 2010. "International inequality in energy intensity levels and the role of production composition and energy efficiency: An analysis of OECD countries," Ecological Economics, Elsevier, vol. 69(12), pages 2468-2474, October.
    49. 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).
    50. Nguyen, Canh Phuc & Nasir, Muhammad Ali, 2021. "An inquiry into the nexus between energy poverty and income inequality in the light of global evidence," Energy Economics, Elsevier, vol. 99(C).
    51. repec:dau:papers:123456789/11250 is not listed on IDEAS
    52. CHI, Wei, 2008. "The role of human capital in China's economic development: Review and new evidence," China Economic Review, Elsevier, vol. 19(3), pages 421-436, September.
    53. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin, 2021. "Assessing energy poverty and its effect on CO2 emissions: The case of China," Energy Economics, Elsevier, vol. 97(C).
    54. Pachauri, Shonali & Spreng, Daniel, 2011. "Measuring and monitoring energy poverty," Energy Policy, Elsevier, vol. 39(12), pages 7497-7504.
    55. Rosenow, Jan & Platt, Reg & Flanagan, Brooke, 2013. "Fuel poverty and energy efficiency obligations – A critical assessment of the supplier obligation in the UK," Energy Policy, Elsevier, vol. 62(C), pages 1194-1203.
    56. Bataille, Chris & Melton, Noel, 2017. "Energy efficiency and economic growth: A retrospective CGE analysis for Canada from 2002 to 2012," Energy Economics, Elsevier, vol. 64(C), pages 118-130.
    57. Zeeshan Khan & Muntasir Murshed & Kangyin Dong & Siqun Yang, 2021. "The roles of export diversification and composite country risks in carbon emissions abatement: evidence from the signatories of the regional comprehensive economic partnership agreement," Applied Economics, Taylor & Francis Journals, vol. 53(41), pages 4769-4787, September.
    58. David Coady & Allan Dizioli, 2018. "Income inequality and education revisited: persistence, endogeneity and heterogeneity," Applied Economics, Taylor & Francis Journals, vol. 50(25), pages 2747-2761, May.
    59. Lee, Kyungpyo & Lee, Sungjoo, 2013. "Patterns of technological innovation and evolution in the energy sector: A patent-based approach," Energy Policy, Elsevier, vol. 59(C), pages 415-432.
    60. Allan, Grant & Hanley, Nick & McGregor, Peter & Swales, Kim & Turner, Karen, 2007. "The impact of increased efficiency in the industrial use of energy: A computable general equilibrium analysis for the United Kingdom," Energy Economics, Elsevier, vol. 29(4), pages 779-798, July.
    61. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
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    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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