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How do photovoltaic poverty alleviation projects relieve household energy poverty? Evidence from China

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  • Li, Yunwei
  • Chen, Kui
  • Ding, Ruixin
  • Zhang, Jing
  • Hao, Yu

Abstract

Energy poverty is a serious problem worldwide and has attracted the attention of policymakers. As a type of social welfare project, photovoltaic poverty alleviation projects (PPAPs) are expected to achieve high-quality poverty alleviation and an energy transformation in China. By the end of 2019, in China, the task of PPAP construction had been fully completed, with 26.36 million kWh of (PV) photovoltaic power plants having been built and 4.15 million households benefitting. This paper aims to explore the effect of PPAPs on energy poverty alleviation in poor areas. Based on 2010–2018 panel data from a tracking survey, this paper adopts a high-dimensional fixed effect model and finds that PPAPs reduced household energy poverty by 6.32%. Specifically, the mechanism included promoting the diversification of household energy sources and improving the disposable income of residents. Furthermore, the policy effect was more significant in regions with greater sunlight resource endowments. The findings of this paper provide implications for developing countries facing similar difficulties in improving people's livelihoods and in promoting sustainable development.

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  • Li, Yunwei & Chen, Kui & Ding, Ruixin & Zhang, Jing & Hao, Yu, 2023. "How do photovoltaic poverty alleviation projects relieve household energy poverty? Evidence from China," Energy Economics, Elsevier, vol. 118(C).
  • Handle: RePEc:eee:eneeco:v:118:y:2023:i:c:s0140988323000129
    DOI: 10.1016/j.eneco.2023.106514
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    as
    1. González-Eguino, Mikel, 2015. "Energy poverty: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 377-385.
    2. Waheed Mobolaji Ashagidigbi & Bashirat Adenike Babatunde & Adebayo Isaiah Ogunniyi & Kehinde Oluseyi Olagunju & Abiodun Olusola Omotayo, 2020. "Estimation and Determinants of Multidimensional Energy Poverty among Households in Nigeria," Sustainability, MDPI, vol. 12(18), pages 1-13, September.
    3. Ouedraogo, Boukary, 2006. "Household energy preferences for cooking in urban Ouagadougou, Burkina Faso," Energy Policy, Elsevier, vol. 34(18), pages 3787-3795, December.
    4. Thorsten Beck & Ross Levine & Alexey Levkov, 2010. "Big Bad Banks? The Winners and Losers from Bank Deregulation in the United States," Journal of Finance, American Finance Association, vol. 65(5), pages 1637-1667, October.
    5. Muller, Christophe & Yan, Huijie, 2018. "Household fuel use in developing countries: Review of theory and evidence," Energy Economics, Elsevier, vol. 70(C), pages 429-439.
    6. Wang, Chaofan & Shuai, Jing & Ding, Liping & Lu, Yang & Chen, Jia, 2022. "Comprehensive benefit evaluation of solar PV projects based on multi-criteria decision grey relation projection method: Evidence from 5 counties in China," Energy, Elsevier, vol. 238(PB).
    7. Basak, Prasenjit & Chowdhury, S. & Halder nee Dey, S. & Chowdhury, S.P., 2012. "A literature review on integration of distributed energy resources in the perspective of control, protection and stability of microgrid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5545-5556.
    8. Cai, Jing & Jiang, Zhigang, 2008. "Changing of energy consumption patterns from rural households to urban households in China: An example from Shaanxi Province, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(6), pages 1667-1680, August.
    9. Li, Jiaxin & Wang, Zihan & Cheng, Xin & Shuai, Jing & Shuai, Chuanmin & Liu, Jing, 2020. "Has solar PV achieved the national poverty alleviation goals? Empirical evidence from the performances of 52 villages in rural China," Energy, Elsevier, vol. 201(C).
    10. Sauter, Raphael & Watson, Jim, 2007. "Strategies for the deployment of micro-generation: Implications for social acceptance," Energy Policy, Elsevier, vol. 35(5), pages 2770-2779, May.
    11. Zhang, Fang & Deng, Hao & Margolis, Robert & Su, Jun, 2015. "Analysis of distributed-generation photovoltaic deployment, installation time and cost, market barriers, and policies in China," Energy Policy, Elsevier, vol. 81(C), pages 43-55.
    12. Wu, Yunna & Xu, Minjia & Tao, Yao & He, Jiaming & Liao, Yijia & Wu, Man, 2022. "A critical barrier analysis framework to the development of rural distributed PV in China," Energy, Elsevier, vol. 245(C).
    13. Zhou, Kaile & Yang, Shanlin, 2016. "Understanding household energy consumption behavior: The contribution of energy big data analytics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 810-819.
    14. Wang, Shubin & Sun, Shaolong & Zhao, Erlong & Wang, Shouyang, 2021. "Urban and rural differences with regional assessment of household energy consumption in China," Energy, Elsevier, vol. 232(C).
    15. Samarakoon, Shanil, 2019. "A justice and wellbeing centered framework for analysing energy poverty in the Global South," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    16. Liu, Jian & Wang, Run & Sun, Yanwei & Lin, Yanjie & Xiao, Lishan, 2013. "A barrier analysis for the development of distributed energy in China: A case study in Fujian province," Energy Policy, Elsevier, vol. 60(C), pages 262-271.
    17. Heltberg, Rasmus, 2005. "Factors determining household fuel choice in Guatemala," Environment and Development Economics, Cambridge University Press, vol. 10(3), pages 337-361, June.
    18. Mekhilef, S. & Saidur, R. & Safari, A., 2011. "A review on solar energy use in industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1777-1790, May.
    19. Shuai, Jing & Cheng, Xin & Ding, Liping & Yang, Jun & Leng, Zhihui, 2019. "How should government and users share the investment costs and benefits of a solar PV power generation project in China?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 86-94.
    20. Wang, Zihan & Li, Jiaxin & Liu, Jing & Shuai, Chuanmin, 2020. "Is the photovoltaic poverty alleviation project the best way for the poor to escape poverty? ——A DEA and GRA analysis of different projects in rural China," Energy Policy, Elsevier, vol. 137(C).
    21. Abbas, Khizar & Li, Shixiang & Xu, Deyi & Baz, Khan & Rakhmetova, Aigerim, 2020. "Do socioeconomic factors determine household multidimensional energy poverty? Empirical evidence from South Asia," Energy Policy, Elsevier, vol. 146(C).
    22. Shan, Haiyan & Yang, Junliang, 2019. "Sustainability of photovoltaic poverty alleviation in China: An evolutionary game between stakeholders," Energy, Elsevier, vol. 181(C), pages 264-280.
    23. Zoellner, Jan & Schweizer-Ries, Petra & Wemheuer, Christin, 2008. "Public acceptance of renewable energies: Results from case studies in Germany," Energy Policy, Elsevier, vol. 36(11), pages 4136-4141, November.
    24. Ma, Wanglin & Zheng, Hongyun & Gong, Binlei, 2022. "Rural income growth, ethnic differences, and household cooking fuel choice: Evidence from China," Energy Economics, Elsevier, vol. 107(C).
    25. Zhang, Minhui & Zhang, Qin & Zhou, Dequn & Wang, Lei, 2021. "Punishment or reward? Strategies of stakeholders in the quality of photovoltaic plants based on evolutionary game analysis in China," Energy, Elsevier, vol. 220(C).
    26. Li, Jiaxin & Peng, Jiachao & Shuai, Chuanmin & Wang, Zihan & Huang, Fubin & Khayyam, Muhammad, 2022. "Does the solar PV program enhance the social empowerment of China's rural poor?," Energy, Elsevier, vol. 253(C).
    27. Cayla, Jean-Michel & Maizi, Nadia & Marchand, Christophe, 2011. "The role of income in energy consumption behaviour: Evidence from French households data," Energy Policy, Elsevier, vol. 39(12), pages 7874-7883.
    28. Zhang, Sufang & He, Yongxiu, 2013. "Analysis on the development and policy of solar PV power in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 393-401.
    29. Couture, Stéphane & Garcia, Serge & Reynaud, Arnaud, 2012. "Household energy choices and fuelwood consumption: An econometric approach using French data," Energy Economics, Elsevier, vol. 34(6), pages 1972-1981.
    30. del Río, Pablo & Burguillo, Mercedes, 2008. "Assessing the impact of renewable energy deployment on local sustainability: Towards a theoretical framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(5), pages 1325-1344, June.
    31. Démurger, Sylvie & Fournier, Martin, 2011. "Poverty and firewood consumption: A case study of rural households in northern China," China Economic Review, Elsevier, vol. 22(4), pages 512-523.
    32. Xu, Li & Zhang, Qin & Shi, Xunpeng, 2019. "Stakeholders strategies in poverty alleviation and clean energy access: A case study of China's PV poverty alleviation program," Energy Policy, Elsevier, vol. 135(C).
    33. 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.
    34. Liu, Jing & Huang, Fubin & Wang, Zihan & Shuai, Chuanmin, 2021. "What is the anti-poverty effect of solar PV poverty alleviation projects? Evidence from rural China," Energy, Elsevier, vol. 218(C).
    35. Ouyang, Xiaoling & Lin, Boqiang, 2014. "Levelized cost of electricity (LCOE) of renewable energies and required subsidies in China," Energy Policy, Elsevier, vol. 70(C), pages 64-73.
    36. Chen, Chien-fei & Li, Jiaxin & Shuai, Jing & Nelson, Hannah & Walzem, Allen & Cheng, Jinhua, 2021. "Linking social-psychological factors with policy expectation: Using local voices to understand solar PV poverty alleviation in Wuhan, China," Energy Policy, Elsevier, vol. 151(C).
    37. Andreas Peichl & Nico Pestel & Hilmar Schneider, 2012. "Does Size Matter? The Impact Of Changes In Household Structure On Income Distribution In Germany," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 58(1), pages 118-141, March.
    38. Patrick Nussbaumer & Francesco Fuso Nerini & Ijeoma Onyeji & Mark Howells, 2013. "Global Insights Based on the Multidimensional Energy Poverty Index (MEPI)," Sustainability, MDPI, vol. 5(5), pages 1-17, May.
    39. Raymond Hicks & Dustin Tingley, 2011. "Causal mediation analysis," Stata Journal, StataCorp LP, vol. 11(4), pages 605-619, December.
    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. Li, Yan & Zhang, Qi & Wang, Ge & McLellan, Benjamin & Liu, Xue Fei & Wang, Le, 2018. "A review of photovoltaic poverty alleviation projects in China: Current status, challenge and policy recommendations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 214-223.
    42. Zhao, Xingang & Zeng, Yiping & Zhao, Di, 2015. "Distributed solar photovoltaics in China: Policies and economic performance," Energy, Elsevier, vol. 88(C), pages 572-583.
    43. Ondraczek, Janosch & Komendantova, Nadejda & Patt, Anthony, 2015. "WACC the dog: The effect of financing costs on the levelized cost of solar PV power," Renewable Energy, Elsevier, vol. 75(C), pages 888-898.
    44. Sun, Yan-wei & Hof, Angela & Wang, Run & Liu, Jian & Lin, Yan-jie & Yang, De-wei, 2013. "GIS-based approach for potential analysis of solar PV generation at the regional scale: A case study of Fujian Province," Energy Policy, Elsevier, vol. 58(C), pages 248-259.
    45. Tu, Qiang & Betz, Regina & Mo, Jianlei & Fan, Ying, 2019. "The profitability of onshore wind and solar PV power projects in China - A comparative study," Energy Policy, Elsevier, vol. 132(C), pages 404-417.
    46. Djanibekov, Utkur & Gaur, Varun, 2018. "Nexus of energy use, agricultural production, employment and incomes among rural households in Uttar Pradesh, India," Energy Policy, Elsevier, vol. 113(C), pages 439-453.
    47. Xue, Jinlin, 2017. "Photovoltaic agriculture - New opportunity for photovoltaic applications in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1-9.
    48. Tan, Zhongfu & Tan, Qingkun & Rong, Menglei, 2018. "Analysis on the financing status of PV industry in China and the ways of improvement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 409-420.
    49. Zhang, Yue-Jun & Peng, Yu-Lu & Ma, Chao-Qun & Shen, Bo, 2017. "Can environmental innovation facilitate carbon emissions reduction? Evidence from China," Energy Policy, Elsevier, vol. 100(C), pages 18-28.
    50. Fan, Jing-Li & Zhang, Yue-Jun & Wang, Bing, 2017. "The impact of urbanization on residential energy consumption in China: An aggregated and disaggregated analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 220-233.
    51. Awaworyi Churchill, Sefa & Smyth, Russell & Farrell, Lisa, 2020. "Fuel poverty and subjective wellbeing," Energy Economics, Elsevier, vol. 86(C).
    52. Gaglia, Athina G. & Lykoudis, Spyros & Argiriou, Athanassios A. & Balaras, Constantinos A. & Dialynas, Evangelos, 2017. "Energy efficiency of PV panels under real outdoor conditions–An experimental assessment in Athens, Greece," Renewable Energy, Elsevier, vol. 101(C), pages 236-243.
    53. Zhang, Sufang, 2016. "Innovative business models and financing mechanisms for distributed solar PV (DSPV) deployment in China," Energy Policy, Elsevier, vol. 95(C), pages 458-467.
    54. Li, Bo & Ding, Junqi & Wang, Jieqiong & Zhang, Biao & Zhang, Lingxian, 2021. "Key factors affecting the adoption willingness, behavior, and willingness-behavior consistency of farmers regarding photovoltaic agriculture in China," Energy Policy, Elsevier, vol. 149(C).
    55. Masera, Omar R. & Saatkamp, Barbara D. & Kammen, Daniel M., 2000. "From Linear Fuel Switching to Multiple Cooking Strategies: A Critique and Alternative to the Energy Ladder Model," World Development, Elsevier, vol. 28(12), pages 2083-2103, December.
    56. Zhang, Sufang & Chen, Yang & Liu, Xiaoli & Yang, Mengshi & Xu, Liang, 2017. "Employment effects of solar PV industry in China: A spreadsheet-based analytical model," Energy Policy, Elsevier, vol. 109(C), pages 59-65.
    57. Zhang, Quanda & Appau, Samuelson & Kodom, Peter Lord, 2021. "Energy poverty, children's wellbeing and the mediating role of academic performance: Evidence from China," Energy Economics, Elsevier, vol. 97(C).
    58. Huiming Zhang & Kai Wu & Yueming Qiu & Gabriel Chan & Shouyang Wang & Dequn Zhou & Xianqiang Ren, 2020. "Solar photovoltaic interventions have reduced rural poverty in China," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    59. Han, Mengyao & Xiong, Jiao & Wang, Siyuan & Yang, Yu, 2020. "Chinese photovoltaic poverty alleviation: Geographic distribution, economic benefits and emission mitigation," Energy Policy, Elsevier, vol. 144(C).
    60. Cheng, Chao-yo & Urpelainen, Johannes, 2014. "Fuel stacking in India: Changes in the cooking and lighting mix, 1987–2010," Energy, Elsevier, vol. 76(C), pages 306-317.
    61. Harriet Thomson & Carolyn Snell & Stefan Bouzarovski, 2017. "Health, Well-Being and Energy Poverty in Europe: A Comparative Study of 32 European Countries," IJERPH, MDPI, vol. 14(6), pages 1-20, May.
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