IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v179y2022ics0040162522001548.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162522001548
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2022.121622?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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Sam Aflaki & Paul R. Kleindorfer & Victor Sáenz Miera Polvorinos, 2013. "Finding and Implementing Energy Efficiency Projects in Industrial Facilities," Post-Print hal-00823923, HAL.
    6. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    7. 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.
    8. 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.
    9. Adom, Philip Kofi, 2015. "Asymmetric impacts of the determinants of energy intensity in Nigeria," Energy Economics, Elsevier, vol. 49(C), pages 570-580.
    10. 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.
    11. 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.
    12. Pachauri, Shonali & Spreng, Daniel, 2011. "Measuring and monitoring energy poverty," Energy Policy, Elsevier, vol. 39(12), pages 7497-7504.
    13. 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.
    14. repec:wly:soecon:v:82:2:y:2015:p:408-415 is not listed on IDEAS
    15. Ren, Xiaohang & Duan, Kun & Tao, Lizhu & Shi, Yukun & Yan, Cheng, 2022. "Carbon prices forecasting in quantiles," Energy Economics, Elsevier, vol. 108(C).
    16. 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.
    17. Thomson, Harriet & Snell, Carolyn, 2013. "Quantifying the prevalence of fuel poverty across the European Union," Energy Policy, Elsevier, vol. 52(C), pages 563-572.
    18. 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.
    19. 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).
    20. Alem, Yonas & Demeke, Eyoual, 2020. "The persistence of energy poverty: A dynamic probit analysis," Energy Economics, Elsevier, vol. 90(C).
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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).
    28. repec:dau:papers:123456789/11250 is not listed on IDEAS
    29. 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.
    30. 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.
    31. 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).
    32. 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.
    33. 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.
    34. Dong, Xiao-Ying & Hao, Yu, 2018. "Would income inequality affect electricity consumption? Evidence from China," Energy, Elsevier, vol. 142(C), pages 215-227.
    35. 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.
    36. 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).
    37. 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.
    38. 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.
    39. 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).
    40. 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.
    41. 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.
    42. 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.
    43. 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).
    44. 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.
    45. 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).
    46. 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.
    47. 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).
    48. 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.
    49. 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).
    50. 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).
    51. 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.
    52. 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.
    53. 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.
    54. 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).
    55. Okushima, Shinichiro, 2017. "Gauging energy poverty: A multidimensional approach," Energy, Elsevier, vol. 137(C), pages 1159-1166.
    56. 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.
    57. 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).
    58. 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.
    59. 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.
    60. 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.
    61. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Ying & Wang, Yong & Shahbaz, Muhammad, 2023. "How does digital economy affect energy poverty? Analysis from the global perspective," Energy, Elsevier, vol. 282(C).
    2. Keyu Chen & Chao Feng, 2022. "Linking Housing Conditions and Energy Poverty: From a Perspective of Household Energy Self-Restriction," IJERPH, MDPI, vol. 19(14), pages 1-17, July.
    3. Hasheminasab, Hamidreza & Streimikiene, Dalia & Pishahang, Mohammad, 2023. "A novel energy poverty evaluation: Study of the European Union countries," Energy, Elsevier, vol. 264(C).
    4. Yaru Wang & Guitao Qiao & Mahmood Ahmad & Dan Yang, 2023. "Modeling the Impact of Fiscal Decentralization on Energy Poverty: Do Energy Efficiency and Technological Innovation Matter?," IJERPH, MDPI, vol. 20(5), pages 1-17, February.
    5. Muhammad, Sulaman & Pan, Yanchun & Ke, Xiao & Agha, Mujtaba Hassan & Borah, Prasad Siba & Akhtar, Muhammad, 2023. "European transition toward climate neutrality: Is renewable energy fueling energy poverty across Europe?," Renewable Energy, Elsevier, vol. 208(C), pages 181-190.
    6. Lu, Ling & Liu, Peng & Yu, Jian & Shi, Xunpeng, 2023. "Digital inclusive finance and energy transition towards carbon neutrality: Evidence from Chinese firms," Energy Economics, Elsevier, vol. 127(PB).
    7. Djeunankan, Ronald & Njangang, Henri & Tadadjeu, Sosson & Kamguia, Brice, 2023. "Remittances and energy poverty: Fresh evidence from developing countries," Utilities Policy, Elsevier, vol. 81(C).
    8. Yiping Gao & Rong Yuan & Shenglin Zheng, 2022. "Effects of Human Capital on Energy Consumption: The Role of Income Inequality," IJERPH, MDPI, vol. 19(24), pages 1-17, December.
    9. Wang, Xiong & Yang, Wanping & Ren, Xiaohang & Lu, Zudi, 2023. "Can financial inclusion affect energy poverty in China? Evidence from a spatial econometric analysis," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 255-269.
    10. Prokop, Viktor & Gerstlberger, Wolfgang & Zapletal, David & Gyamfi, Solomon, 2023. "Do we need human capital heterogeneity for energy efficiency and innovativeness? Insights from European catching-up territories," Energy Policy, Elsevier, vol. 177(C).
    11. Ding, Qian & Huang, Jianbai & Chen, Jinyu, 2023. "Does digital finance matter for corporate green investment? Evidence from heavily polluting industries in China," Energy Economics, Elsevier, vol. 117(C).
    12. Zhang, Sheng-Hao & Yang, Jun & Feng, Chao, 2023. "Can internet development alleviate energy poverty? Evidence from China," Energy Policy, Elsevier, vol. 173(C).
    13. Yu Xiang & Jing Zheng & Xunhua Tu, 2022. "The Impact of Intermediate Goods Imports on Energy Efficiency: Empirical Evidence from Chinese Cities," IJERPH, MDPI, vol. 19(20), pages 1-23, October.
    14. Kiani Mavi, Reza & Kiani Mavi, Neda & Farzipoor Saen, Reza & Goh, Mark, 2022. "Common weights analysis of renewable energy efficiency of OECD countries," Technological Forecasting and Social Change, Elsevier, vol. 185(C).

    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. Dong, Kangyin & Taghizadeh-Hesary, Farhad & Zhao, Jun, 2022. "How inclusive financial development eradicates energy poverty in China? The role of technological innovation," Energy Economics, Elsevier, vol. 109(C).
    2. Tiwari, Sunil & Si Mohammed, Kamel & Guesmi, Khaled, 2023. "A way forward to end energy poverty in China: Role of carbon-cutting targets and net-zero commitments," Energy Policy, Elsevier, vol. 180(C).
    3. Zhao, Jun & Dong, Kangyin & Dong, Xiucheng & Shahbaz, Muhammad, 2022. "How renewable energy alleviate energy poverty? A global analysis," Renewable Energy, Elsevier, vol. 186(C), pages 299-311.
    4. 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).
    5. 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).
    6. Recep Ulucak & Ramazan Sari & Seyfettin Erdogan & Rui Alexandre Castanho, 2021. "Bibliometric Literature Analysis of a Multi-Dimensional Sustainable Development Issue: Energy Poverty," Sustainability, MDPI, vol. 13(17), pages 1-21, August.
    7. Zhao, Jun & Shahbaz, Muhammad & Dong, Kangyin, 2022. "How does energy poverty eradication promote green growth in China? The role of technological innovation," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    8. Huang, Yatao & Jiao, Wenxian & Wang, Kang & Li, Erling & Yan, Yutong & Chen, Jingyang & Guo, Xuanxuan, 2022. "Examining the multidimensional energy poverty trap and its determinants: An empirical analysis at household and community levels in six provinces of China," Energy Policy, Elsevier, vol. 169(C).
    9. Lan, Jing & Khan, Sufyan Ullah & Sadiq, Muhammad & Chien, Fengsheng & Baloch, Zulfiqar Ali, 2022. "Evaluating energy poverty and its effects using multi-dimensional based DEA-like mathematical composite indicator approach: Findings from Asia," Energy Policy, Elsevier, vol. 165(C).
    10. Li, Jinkai & Gao, Ming & Luo, Erga & Wang, Jingyi & Zhang, Xuebiao, 2023. "Does rural energy poverty alleviation really reduce agricultural carbon emissions? The case of China," Energy Economics, Elsevier, vol. 119(C).
    11. Wang, Ying & Wang, Yong & Shahbaz, Muhammad, 2023. "How does digital economy affect energy poverty? Analysis from the global perspective," Energy, Elsevier, vol. 282(C).
    12. Zhao, Yujia & Shuai, Jing & Wang, Chaofan & Shuai, Chuanmin & Cheng, Xin & Wang, Yilan & Zhang, Zumeng & Ding, Liping & Zhu, Yongguang & Zhou, Na, 2023. "Do the photovoltaic poverty alleviation programs alleviate local energy poverty? —Empirical evidence of 9 counties in rural China," Energy, Elsevier, vol. 263(PD).
    13. Muhammad Shafiullah & Zhilun Jiao & Muhammad Shahbaz & Kangyin Dong, 2023. "Examining energy poverty in Chinese households: An Engel curve approach," Australian Economic Papers, Wiley Blackwell, vol. 62(1), pages 149-184, March.
    14. Fu Wang & Hong Geng & Donglan Zha & Chaoqun Zhang, 2023. "Multidimensional Energy Poverty in China: Measurement and Spatio-Temporal Disparities Characteristics," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 168(1), pages 45-78, August.
    15. Yuxiang Xie & E. Xie, 2023. "Measuring and Analyzing the Welfare Effects of Energy Poverty in Rural China Based on a Multi-Dimensional Energy Poverty Index," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    16. 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).
    17. Magdalena Cyrek & Piotr Cyrek, 2022. "Rural Specificity as a Factor Influencing Energy Poverty in European Union Countries," Energies, MDPI, vol. 15(15), pages 1-24, July.
    18. Wang, Bo & Zhao, Jun & Dong, Kangyin & Jiang, Qingzhe, 2022. "High-quality energy development in China: Comprehensive assessment and its impact on CO2 emissions," Energy Economics, Elsevier, vol. 110(C).
    19. Shi, Hongxu & Xu, Hao & Gao, Wei & Zhang, Jinhao & Chang, Ming, 2022. "The impact of energy poverty on agricultural productivity: The case of China," Energy Policy, Elsevier, vol. 167(C).
    20. Awan, Ashar & Bilgili, Faik & Rahut, Dil Bahadur, 2022. "Energy poverty trends and determinants in Pakistan: Empirical evidence from eight waves of HIES 1998–2019," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).

    More about this item

    Keywords

    Energy efficiency; Income inequality; Energy poverty; Asymmetric and heterogeneous analysis; China; JEL classification; C33; D31; D61; I32; Q55;
    All these keywords.

    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

    Statistics

    Access and download statistics

    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:tefoso:v:179:y:2022:i:c:s0040162522001548. 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.sciencedirect.com/science/journal/00401625 .

    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.