IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v103y2021ics0140988321004850.html
   My bibliography  Save this article

How does low-carbon energy transition alleviate energy poverty in China? A nonparametric panel causality analysis

Author

Listed:
  • Dong, Kangyin
  • Ren, Xiaohang
  • Zhao, Jun

Abstract

Low-carbon energy transition is conducive to saving energy and reducing emissions, and its impact on energy poverty warrants intensive attention. By employing a balanced panel dataset of China's 30 provinces for the period 2004–2017, we examine the causal relationship between low-carbon energy transition and energy poverty by using a novel nonparametric panel causality-in-quantiles (PCIQ) method. Also, the internal impact mechanism between low-carbon energy transition and energy poverty is analyzed. The primary findings of our study imply that low-carbon energy transition shows significant bidirectional causality with energy poverty alleviation. And the low-carbon energy transition can stimulate energy poverty alleviation by affecting poverty in the availability of energy services, the cleanness of energy consumption, the integrity of energy management, and energy affordability and efficiency. Our findings provide an important reference for the government to formulate relevant policies that promote the alleviation of energy poverty.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:eneeco:v:103:y:2021:i:c:s0140988321004850
    DOI: 10.1016/j.eneco.2021.105620
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988321004850
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2021.105620?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. 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.
    2. Narayan, Paresh Kumar & Smyth, Russell, 2008. "Energy consumption and real GDP in G7 countries: New evidence from panel cointegration with structural breaks," Energy Economics, Elsevier, vol. 30(5), pages 2331-2341, September.
    3. Jena, Sangram Keshari & Tiwari, Aviral Kumar & Hammoudeh, Shawkat & Roubaud, David, 2019. "Distributional predictability between commodity spot and futures: Evidence from nonparametric causality-in-quantiles tests," Energy Economics, Elsevier, vol. 78(C), pages 615-628.
    4. Khan, Zeeshan & Ali, Shahid & Dong, Kangyin & Li, Rita Yi Man, 2021. "How does fiscal decentralization affect CO2 emissions? The roles of institutions and human capital," Energy Economics, Elsevier, vol. 94(C).
    5. Ivan A. Canay, 2011. "A simple approach to quantile regression for panel data," Econometrics Journal, Royal Economic Society, vol. 14(3), pages 368-386, October.
    6. Zhang, Ziyu & Shu, Hongting & Yi, Hong & Wang, Xiaohua, 2021. "Household multidimensional energy poverty and its impacts on physical and mental health," Energy Policy, Elsevier, vol. 156(C).
    7. Dalia Streimikiene & Grigorios L. Kyriakopoulos & Vidas Lekavicius & Indre Siksnelyte-Butkiene, 2021. "Energy Poverty and Low Carbon Just Energy Transition: Comparative Study in Lithuania and Greece," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(1), pages 319-371, November.
    8. Dong, Kangyin & Hochman, Gal & Zhang, Yaqing & Sun, Renjin & Li, Hui & Liao, Hua, 2018. "CO2 emissions, economic and population growth, and renewable energy: Empirical evidence across regions," Energy Economics, Elsevier, vol. 75(C), pages 180-192.
    9. Kander, Astrid & Stern, David I., 2014. "Economic growth and the transition from traditional to modern energy in Sweden," Energy Economics, Elsevier, vol. 46(C), pages 56-65.
    10. Gong, Xu & Liu, Yun & Wang, Xiong, 2021. "Dynamic volatility spillovers across oil and natural gas futures markets based on a time-varying spillover method," International Review of Financial Analysis, Elsevier, vol. 76(C).
    11. 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.
    12. Russell Smyth & Ingrid Nielsen & Qingguo Zhai, 2010. "Personal Well-being in Urban China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 95(2), pages 231-251, January.
    13. Renner, Sebastian & Lay, Jann & Schleicher, Michael, 2019. "The effects of energy price changes: heterogeneous welfare impacts and energy poverty in Indonesia," Environment and Development Economics, Cambridge University Press, vol. 24(2), pages 180-200, April.
    14. Mehmet Balcilar & Stelios Bekiros & Rangan Gupta, 2017. "The role of news-based uncertainty indices in predicting oil markets: a hybrid nonparametric quantile causality method," Empirical Economics, Springer, vol. 53(3), pages 879-889, November.
    15. 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.
    16. Reyes, René & Schueftan, Alejandra & Ruiz, Cecilia & González, Alejandro D., 2019. "Controlling air pollution in a context of high energy poverty levels in southern Chile: Clean air but colder houses?," Energy Policy, Elsevier, vol. 124(C), pages 301-311.
    17. Banerjee, Rajabrata & Mishra, Vinod & Maruta, Admasu Asfaw, 2021. "Energy poverty, health and education outcomes: Evidence from the developing world," Energy Economics, Elsevier, vol. 101(C).
    18. Kern, Florian & Smith, Adrian, 2008. "Restructuring energy systems for sustainability? Energy transition policy in the Netherlands," Energy Policy, Elsevier, vol. 36(11), pages 4093-4103, November.
    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. Bilen, K. & Ozyurt, O. & BakIrcI, K. & KarslI, S. & Erdogan, S. & YIlmaz, M. & ComaklI, O., 2008. "Energy production, consumption, and environmental pollution for sustainable development: A case study in Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(6), pages 1529-1561, August.
    21. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    22. 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.
    23. Awaworyi Churchill, Sefa & Smyth, Russell, 2021. "Energy poverty and health: Panel data evidence from Australia," Energy Economics, Elsevier, vol. 97(C).
    24. Jeong, Kiho & Härdle, Wolfgang K. & Song, Song, 2012. "A Consistent Nonparametric Test For Causality In Quantile," Econometric Theory, Cambridge University Press, vol. 28(4), pages 861-887, August.
    25. Phoumin, Han & Kimura, Fukunari, 2019. "Cambodia's energy poverty and its effects on social wellbeing: Empirical evidence and policy implications," Energy Policy, Elsevier, vol. 132(C), pages 283-289.
    26. Awaworyi Churchill, Sefa & Smyth, Russell, 2020. "Ethnic diversity, energy poverty and the mediating role of trust: Evidence from household panel data for Australia11We thank two referees for constructive comments. This article uses unit record data ," Energy Economics, Elsevier, vol. 86(C).
    27. Chakravarty, Shoibal & Tavoni, Massimo, 2013. "Energy poverty alleviation and climate change mitigation: Is there a trade off?," Energy Economics, Elsevier, vol. 40(S1), pages 67-73.
    28. Gong, Xu & Lin, Boqiang, 2017. "Forecasting the good and bad uncertainties of crude oil prices using a HAR framework," Energy Economics, Elsevier, vol. 67(C), pages 315-327.
    29. Shem, Caitlin & Simsek, Yeliz & Hutfilter, Ursula Fuentes & Urmee, Tania, 2019. "Potentials and opportunities for low carbon energy transition in Vietnam: A policy analysis," Energy Policy, Elsevier, vol. 134(C).
    30. Ren, Xiaohang & Lu, Zudi & Cheng, Cheng & Shi, Yukun & Shen, Jian, 2019. "On dynamic linkages of the state natural gas markets in the USA: Evidence from an empirical spatio-temporal network quantile analysis," Energy Economics, Elsevier, vol. 80(C), pages 234-252.
    31. Xin Tang & Hua Liao, 2014. "Energy poverty and solid fuels use in rural China: Analysis based on national population census," CEEP-BIT Working Papers 57, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    32. 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).
    33. Sharma, Sangeeta V. & Han, Phoumin & Sharma, Vinod K., 2019. "Socio-economic determinants of energy poverty amongst Indian households: A case study of Mumbai," Energy Policy, Elsevier, vol. 132(C), pages 1184-1190.
    34. Crentsil, Aba Obrumah & Asuman, Derek & Fenny, Ama Pokuaa, 2019. "Assessing the determinants and drivers of multidimensional energy poverty in Ghana," Energy Policy, Elsevier, vol. 133(C).
    35. 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).
    36. 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.
    37. Xu Gong & Boqiang Lin, 2021. "Effects of structural changes on the prediction of downside volatility in futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(7), pages 1124-1153, July.
    38. 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).
    39. Hills, John, 2011. "Fuel poverty: the problem and its measurement," LSE Research Online Documents on Economics 39270, London School of Economics and Political Science, LSE Library.
    40. Montalvo, Jose G. & Ravallion, Martin, 2010. "The pattern of growth and poverty reduction in China," Journal of Comparative Economics, Elsevier, vol. 38(1), pages 2-16, March.
    41. 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.
    42. Awaworyi Churchill, Sefa & Smyth, Russell & Farrell, Lisa, 2020. "Fuel poverty and subjective wellbeing," Energy Economics, Elsevier, vol. 86(C).
    43. Kangyin Dong & Xiucheng Dong & Qingzhe Jiang & Jun Zhao, 2021. "Valuing the greenhouse effect of political risks: the global case," Applied Economics, Taylor & Francis Journals, vol. 53(31), pages 3604-3618, July.
    44. Abbas, Khizar & Xie, Xiaoqing & Xu, Deyi & Butt, Khalid Manzoor, 2021. "Assessing an empirical relationship between energy poverty and domestic health issues: A multidimensional approach," Energy, Elsevier, vol. 221(C).
    45. John Hills, 2011. "Fuel Poverty: The problem and its measurement. Interim Report of the Fuel Poverty Review," CASE Reports casereport69, Centre for Analysis of Social Exclusion, LSE.
    46. Ürge-Vorsatz, Diana & Tirado Herrero, Sergio, 2012. "Building synergies between climate change mitigation and energy poverty alleviation," Energy Policy, Elsevier, vol. 49(C), pages 83-90.
    47. Smyth, Russell & Mishra, Vinod & Qian, Xiaolei, 2008. "The Environment and Well-Being in Urban China," Ecological Economics, Elsevier, vol. 68(1-2), pages 547-555, December.
    48. Raza, Syed Ali & Shah, Nida & Shahbaz, Muhammad, 2018. "Does economic policy uncertainty influence gold prices? Evidence from a nonparametric causality-in-quantiles approach," Resources Policy, Elsevier, vol. 57(C), pages 61-68.
    49. 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.
    50. Barnes, Douglas F. & Khandker, Shahidur R. & Samad, Hussain A., 2011. "Energy poverty in rural Bangladesh," Energy Policy, Elsevier, vol. 39(2), pages 894-904, February.
    51. Liu, Wei & Li, Hong, 2011. "Improving energy consumption structure: A comprehensive assessment of fossil energy subsidies reform in China," Energy Policy, Elsevier, vol. 39(7), pages 4134-4143, July.
    52. Scarpellini, Sabina & Alexia Sanz Hernández, M. & Moneva, José M. & Portillo-Tarragona, Pilar & Rodríguez, María Esther López, 2019. "Measurement of spatial socioeconomic impact of energy poverty," Energy Policy, Elsevier, vol. 124(C), pages 320-331.
    53. Sambodo, Maxensius Tri & Novandra, Rio, 2019. "The state of energy poverty in Indonesia and its impact on welfare," Energy Policy, Elsevier, vol. 132(C), pages 113-121.
    54. Okushima, Shinichiro, 2017. "Gauging energy poverty: A multidimensional approach," Energy, Elsevier, vol. 137(C), pages 1159-1166.
    55. Fu, Rao & Jin, Gui & Chen, Jinyue & Ye, Yuyao, 2021. "The effects of poverty alleviation investment on carbon emissions in China based on the multiregional input–output model," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    56. Yuan, Xueliang & Zuo, Jian, 2011. "Transition to low carbon energy policies in China--from the Five-Year Plan perspective," Energy Policy, Elsevier, vol. 39(6), pages 3855-3859, June.
    57. Nguyen, Trung Thanh & Nguyen, Thanh-Tung & Hoang, Viet-Ngu & Wilson, Clevo, 2019. "Energy transition, poverty and inequality: panel evidence from Vietnam," MPRA Paper 107182, University Library of Munich, Germany, revised 10 May 2019.
    58. Kaygusuz, K., 2011. "Energy services and energy poverty for sustainable rural development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 936-947, February.
    59. Pachauri, S. & Mueller, A. & Kemmler, A. & Spreng, D., 2004. "On Measuring Energy Poverty in Indian Households," World Development, Elsevier, vol. 32(12), pages 2083-2104, December.
    60. Adom, Philip Kofi & Amuakwa-Mensah, Franklin & Agradi, Mawunyo Prosper & Nsabimana, Aimable, 2021. "Energy poverty, development outcomes, and transition to green energy," Renewable Energy, Elsevier, vol. 178(C), pages 1337-1352.
    61. Hoggett, Richard, 2014. "Technology scale and supply chains in a secure, affordable and low carbon energy transition," Applied Energy, Elsevier, vol. 123(C), pages 296-306.
    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. 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).
    2. 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.
    3. 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).
    4. 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).
    5. Ang'u, Cohen & Muthama, Nzioka John & Mutuku, Mwanthi Alexander & M’IKiugu, Mutembei Henry, 2023. "Analysis of energy poverty in Kenya and its implications for human health," Energy Policy, Elsevier, vol. 176(C).
    6. 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).
    7. 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).
    8. Shahzad, Umer & Gupta, Mansi & Sharma, Gagan Deep & Rao, Amar & Chopra, Ritika, 2022. "Resolving energy poverty for social change: Research directions and agenda," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    9. 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).
    10. 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.
    11. 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).
    12. 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).
    13. Qurat-ul-Ann, Abre-Rehmat & Mirza, Faisal Mehmood, 2020. "Meta-analysis of empirical evidence on energy poverty: The case of developing economies," Energy Policy, Elsevier, vol. 141(C).
    14. 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).
    15. Ren, Yi-Shuai & Jiang, Yong & Narayan, Seema & Ma, Chao-Qun & Yang, Xiao-Guang, 2022. "Marketisation and rural energy poverty: Evidence from provincial panel data in China," Energy Economics, Elsevier, vol. 111(C).
    16. Omar, Md Abdullah & Hasanujzaman, Muhammad, 2021. "Multidimensional energy poverty in Bangladesh and its effect on health and education: A multilevel analysis based on household survey data," Energy Policy, Elsevier, vol. 158(C).
    17. 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).
    18. 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.
    19. 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.
    20. 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).

    More about this item

    Keywords

    Low-carbon energy transition; Energy poverty alleviation; Nonparametric panel causality method; China;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • P36 - Political Economy and Comparative Economic Systems - - Socialist Institutions and Their Transitions - - - Consumer Economics; Health; Education and Training; Welfare, Income, Wealth, and Poverty
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

    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:eneeco:v:103:y:2021:i:c:s0140988321004850. 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.elsevier.com/locate/eneco .

    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.