REFERENCES

1. IPCC. Synthesis report of the IPCC sixth assessment report (AR6). Available from: https://www.ipcc.ch/report/ar6/syr/downloads/report/IPCC_AR6_SYR_LongerReport.pdf [Last accessed on 18 Feb 2024].

2. Creutzig F, Agoston P, Goldschmidt JC, Luderer G, Nemet G, Pietzcker RC. The underestimated potential of solar energy to mitigate climate change. Nat Energy 2017;2:17140.

3. Bogdanov D, Farfan J, Sadovskaia K, et al. Radical transformation pathway towards sustainable electricity via evolutionary steps. Nat Commun 2019;10:1077.

4. Hidayatno A, Setiawan AD, Wikananda Supartha IM, Moeis AO, Rahman I, Widiono E. Investigating policies on improving household rooftop photovoltaics adoption in Indonesia. Renew Energy 2020;156:731-42.

5. Goldstein B, Gounaridis D, Newell JP. The carbon footprint of household energy use in the United States. Proc Natl Acad Sci USA 2020;117:19122-30.

6. Frondel M, Ritter N, Schmidt CM, Vance C. Economic impacts from the promotion of renewable energy technologies: the German experience. Energy Policy 2010;38:4048-56.

7. Dong J, Feng T, Sun H, Cai H, Li R, Yang Y. Clean distributed generation in China: policy options and international experience. Renew Sustain Energy Rev 2016;57:753-64.

8. Carter E, Yan L, Fu Y, et al. Household transitions to clean energy in a multi-provincial cohort study in China. Nat Sustain 2019;3:42-50.

9. Zhang W, Zhao Y, Huang F, Zhong Y, Zhou J. Forecasting the energy and economic benefits of photovoltaic technology in China’s rural areas. Sustainability 2021;13:8408.

10. Huang F, Wang Z, Liu J, Shuai C, Li W. Exploring rural energy choice from the perspective of multi-dimensional capabilities: evidence from photovoltaic anti-poverty areas in rural China. J Clean Prod 2021;283:124586.

11. Tao S, Ru MY, Du W, et al. Quantifying the rural residential energy transition in China from 1992 to 2012 through a representative national survey. Nat Energy 2018;3:567-73.

12. Zhang H, Wu K, Qiu Y, et al. Solar photovoltaic interventions have reduced rural poverty in China. Nat Commun 2020;11:1969.

13. National Energy Administration. Operation status of photovoltaic power generation construction in 2022. Available from: http://www.nea.gov.cn/2023-02/17/c_1310698128.htm [Last accessed on 18 Feb 2024].

14. Wu H, Ge Y, Li J. Uncertainty, time preference and households’ adoption of rooftop photovoltaic technology. Energy 2023;276:127468.

15. Bauner C, Crago CL. Adoption of residential solar power under uncertainty: implications for renewable energy incentives. Energy Policy 2015;86:27-35.

16. La Monaca S, Ryan L. Solar PV where the sun doesn’t shine: estimating the economic impacts of support schemes for residential PV with detailed net demand profiling. Energy Policy 2017;108:731-41.

17. Zhang H, Xu Z, Zhou D, Qiu Y, Shen D. Targeted poverty alleviation using photovoltaic power in China: identifying financial options through a dynamic game analysis. Resour Conserv Recycl 2018;139:333-7.

18. Shuai J, Cheng X, Ding L, Yang J, Leng Z. How should government and users share the investment costs and benefits of a solar PV power generation project in China? Renew Sustain Energy Rev 2019;104:86-94.

19. Jia X, Du H, Zou H, He G. Assessing the effectiveness of China’s net-metering subsidies for household distributed photovoltaic systems. J Clean Prod 2020;262:121161.

20. Li Y, Qing C, Guo S, Deng X, Song J, Xu D. When my friends and relatives go solar, should I go solar too? - Evidence from rural Sichuan province, China. Renew Energy 2023;203:753-62.

21. Chen C, Li J, Shuai J, Nelson H, Walzem A, Cheng J. Linking social-psychological factors with policy expectation: using local voices to understand solar PV poverty alleviation in Wuhan, China. Energy Policy 2021;151:112160.

22. Li B, Ding J, Wang J, Zhang B, Zhang L. Key factors affecting the adoption willingness, behavior, and willingness-behavior consistency of farmers regarding photovoltaic agriculture in China. Energy Policy 2021;149:112101.

23. Chowdhury S, Sumita U, Islam A, Bedja I. Importance of policy for energy system transformation: diffusion of PV technology in Japan and Germany. Energy Policy 2014;68:285-93.

24. He G, Kammen DM. Where, when and how much solar is available? A provincial-scale solar resource assessment for China. Renew Energy 2016;85:74-82.

25. Sommerfeld J, Buys L, Mengersen K, Vine D. Influence of demographic variables on uptake of domestic solar photovoltaic technology. Renew Sustain Energy Rev 2017;67:315-23.

26. Kurata M, Matsui N, Ikemoto Y, Tsuboi H. Do determinants of adopting solar home systems differ between households and micro-enterprises? Evidence from rural Bangladesh. Renew Energy 2018;129:309-16.

27. Bashiri A, Alizadeh SH. The analysis of demographics, environmental and knowledge factors affecting prospective residential PV system adoption: a study in Tehran. Renew Sustain Energy Rev 2018;81:3131-9.

28. Agir S, Derin-gure P, Senturk B. Farmers’ perspectives on challenges and opportunities of agrivoltaics in Turkiye: an institutional perspective. Renew Energy 2023;212:35-49.

29. Kabir Z. The role of social impact assessment (SIA) in the development of a mine closure plan in regional Australia. J Env Assmt Pol Mgmt 2021;23:2250015.

30. Wu Y, Xu M, Tao Y, He J, Liao Y, Wu M. A critical barrier analysis framework to the development of rural distributed PV in China. Energy 2022;245:123277.

31. Energy Administration of Shandong Province. Shandong has achieved significant results in promoting the large-scale development of distributed rooftop photovoltaics throughout the county. Available from: http://nyj.shandong.gov.cn/art/2022/12/8/art_59966_10295453.html [Last accessed on 8 Mar 2024].

32. Odetunmibi OA, Ale OS, Oguntunde PE, Adejumo AO, Okagbue HI. An investigation of dynamic influence to doctors’ stress in government hospitals in nigeria using logistic regression approach. Available from: https://api.semanticscholar.org/CorpusID:62802998 [Last accessed on 18 Feb 2024].

33. Loan LTT, Takahashi Y, Nomura H, Yabe M. Modeling home composting behavior toward sustainable municipal organic waste management at the source in developing countries. Resour Conserv Recycl 2019;140:65-71.

34. Train K. Discrete choice methods with simulation. Cambridge: Cambridge University Press; 2009.

35. Hwang T, Kang S, Kim JT. Optimization of the building integrated photovoltaic system in office buildings - focus on the orientation, inclined angle and installed area. Energy Build 2012;46:92-104.

36. Bahaj AS. Photovoltaic roofing: issues of design and integration into buildings. Renew Energy 2003;28:2195-204.

37. Yadav P, Davies PJ, Sarkodie SA. The prospects of decentralised solar energy home systems in rural communities: user experience, determinants, and impact of free solar power on the energy poverty cycle. Energy Strategy Rev 2019;26:100424.

38. Li L, Fan F, Liu X. Determinants of rural household clean energy adoption intention: evidence from 72 typical villages in ecologically fragile regions of western China. J Clean Prod 2022;347:131296.

39. Song Y, Liu T, Ye B, Li Y. Linking carbon market and electricity market for promoting the grid parity of photovoltaic electricity in China. Energy 2020;211:118924.

40. van der Linden S. The social-psychological determinants of climate change risk perceptions: towards a comprehensive model. J Environ Psychol 2015;41:112-24.

41. Hoffmann R, Muttarak R, Peisker J, Stanig P. Climate change experiences raise environmental concerns and promote green voting. Nat Clim Chang 2022;12:148-55.

42. Walker G, Devine-wright P, Hunter S, High H, Evans B. Trust and community: exploring the meanings, contexts and dynamics of community renewable energy. Energy Policy 2010;38:2655-63.

43. Kastner I, Stern PC. Examining the decision-making processes behind household energy investments: a review. Energy Res Soc Sci 2015;10:72-89.

44. Zhao Y, Shuai J, Wang C, et al. Do the photovoltaic poverty alleviation programs alleviate local energy poverty? - Empirical evidence of 9 counties in rural China. Energy 2023;263:125973.

45. Teng Y, Lin P, Chen X, Wang J. An analysis of the behavioral decisions of governments, village collectives, and farmers under rural waste sorting. Environ Impact Assess Rev 2022;95:106780.

46. Roesler T, Hassler M. Creating niches - the role of policy for the implementation of bioenergy village cooperatives in Germany. Energy Policy 2019;124:95-101.

47. Hansen M, Liu Z. Air pollution and grassroots echoes of “ecological civilization” in rural China. China Q 2018;234:320-39.

48. He G, Wang S. Do college graduates serving as village officials help rural China? Am Econ J Appl Econ 2017;9:186-215.

49. Zhang W, Chou L, Chen M. Consumer perception and use intention for household distributed photovoltaic systems. Sustain Energy Technol Assess 2022;51:101895.

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