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Factors influencing the adoption of renewable energy in the U.S. residential sector: An optimal parameters-based geographical detector approach

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  • Jiang, Rui
  • Wu, Peng
  • Song, Yongze
  • Wu, Chengke
  • Wang, Peng
  • Zhong, Yun

Abstract

The use of fossil fuels has been a major contributor to global climate change. To mitigate the negative impact of fossil fuels, renewable energy (RE) has been increasingly promoted. This study aims to investigate factors impacting the adoption of RE in the residential sector, using the U.S. as a case study. Residential RE consumption rate data in 51 states/districts of the U.S. were collected from 2010 to 2018 to examine the adoption of RE. Correspondingly, four categories of explanatory variables affecting the consumption rate were investigated, including demographics, availability, consumers' affordability, and regulatory compliance motivation. An optimal parameters-based geographical detector (OPGD) model was implemented to investigate spatio-temporal impacts of variables on the consumption rate. Results show that factors that have consistently significant impacts on residential RE adoption include percentage of RE production of the availability category and residential monthly electricity bill of the consumers’ affordability category. Population was also an important factor from 2012 to 2018. The impact of RE production rate can also be further enhanced when combined with other factors, such as residential monthly bill and number of regulatory policies. Based on these results, several practical recommendations are proposed as references for government to increase RE adoption.

Suggested Citation

  • Jiang, Rui & Wu, Peng & Song, Yongze & Wu, Chengke & Wang, Peng & Zhong, Yun, 2022. "Factors influencing the adoption of renewable energy in the U.S. residential sector: An optimal parameters-based geographical detector approach," Renewable Energy, Elsevier, vol. 201(P1), pages 450-461.
  • Handle: RePEc:eee:renene:v:201:y:2022:i:p1:p:450-461
    DOI: 10.1016/j.renene.2022.09.084
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    as
    1. Zorić, Jelena & Hrovatin, Nevenka, 2012. "Household willingness to pay for green electricity in Slovenia," Energy Policy, Elsevier, vol. 47(C), pages 180-187.
    2. Zhang, Lei & Wu, Yang, 2012. "Market segmentation and willingness to pay for green electricity among urban residents in China: The case of Jiangsu Province," Energy Policy, Elsevier, vol. 51(C), pages 514-523.
    3. Wang, Qunwei & Zhang, Cheng & Cai, Wanhuan, 2017. "Factor substitution and energy productivity fluctuation in China: A parametric decomposition analysis," Energy Policy, Elsevier, vol. 109(C), pages 181-190.
    4. Reuter, Wolf Heinrich & Szolgayová, Jana & Fuss, Sabine & Obersteiner, Michael, 2012. "Renewable energy investment: Policy and market impacts," Applied Energy, Elsevier, vol. 97(C), pages 249-254.
    5. Sardianou, E. & Genoudi, P., 2013. "Which factors affect the willingness of consumers to adopt renewable energies?," Renewable Energy, Elsevier, vol. 57(C), pages 1-4.
    6. Zheng, Shuhong & Yang, Juan & Yu, Shiwei, 2021. "How renewable energy technological innovation promotes renewable power generation: Evidence from China's provincial panel data," Renewable Energy, Elsevier, vol. 177(C), pages 1394-1407.
    7. Khezri, Mohsen & Heshmati, Almas & Khodaei, Mehdi, 2021. "The role of R&D in the effectiveness of renewable energy determinants: A spatial econometric analysis," Energy Economics, Elsevier, vol. 99(C).
    8. Zheng, Xuemei & Li, Cao & Fang, Xingming & Zhang, Ning, 2021. "Price sensitivity and consumers’ support for renewable energy in China," Energy, Elsevier, vol. 222(C).
    9. Sharpton, Tara & Lawrence, Thomas & Hall, Margeret, 2020. "Drivers and barriers to public acceptance of future energy sources and grid expansion in the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 126(C).
    10. Ang, B.W. & Su, Bin & Wang, H., 2016. "A spatial–temporal decomposition approach to performance assessment in energy and emissions," Energy Economics, Elsevier, vol. 60(C), pages 112-121.
    11. Bao, Qifang & Sinitskaya, Ekaterina & Gomez, Kelley J. & MacDonald, Erin F. & Yang, Maria C., 2020. "A human-centered design approach to evaluating factors in residential solar PV adoption: A survey of homeowners in California and Massachusetts," Renewable Energy, Elsevier, vol. 151(C), pages 503-513.
    12. Zhao, Min & Tan, Lirong & Zhang, Weiguo & Ji, Minhe & Liu, Yuan & Yu, Lizhong, 2010. "Decomposing the influencing factors of industrial carbon emissions in Shanghai using the LMDI method," Energy, Elsevier, vol. 35(6), pages 2505-2510.
    13. Mark D. Partridge & Marlon Boarnet & Steven Brakman & Gianmarco Ottaviano, 2012. "Introduction: Whither Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 167-171, May.
    14. Zhang, Yue-Jun & Da, Ya-Bin, 2015. "The decomposition of energy-related carbon emission and its decoupling with economic growth in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1255-1266.
    15. Gadenne, David & Sharma, Bishnu & Kerr, Don & Smith, Tim, 2011. "The influence of consumers' environmental beliefs and attitudes on energy saving behaviours," Energy Policy, Elsevier, vol. 39(12), pages 7684-7694.
    16. Bertsch, Valentin & Hall, Margeret & Weinhardt, Christof & Fichtner, Wolf, 2016. "Public acceptance and preferences related to renewable energy and grid expansion policy: Empirical insights for Germany," Energy, Elsevier, vol. 114(C), pages 465-477.
    17. Shengfu Yang & Shougeng Hu & Weidong Li & Chuanrong Zhang & José A. Torres, 2017. "Spatiotemporal Effects of Main Impact Factors on Residential Land Price in Major Cities of China," Sustainability, MDPI, vol. 9(11), pages 1-16, November.
    18. Yu, Miao & Zhao, Xintong & Gao, Yuning, 2019. "Factor decomposition of China’s industrial electricity consumption using structural decomposition analysis," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 67-76.
    19. Claudy, Marius C. & Michelsen, Claus & O'Driscoll, Aidan & Mullen, Michael R., 2010. "Consumer awareness in the adoption of microgeneration technologies: An empirical investigation in the Republic of Ireland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(7), pages 2154-2160, September.
    20. Zhu, Bing & Zhang, Wenjun & Du, Jian & Zhou, Wenji & Qiu, Tong & Li, Qiang, 2011. "Adoption of renewable energy technologies (RETs): A survey on rural construction in China," Technology in Society, Elsevier, vol. 33(3), pages 223-230.
    21. Filip Johnsson & Jan Kjärstad & Johan Rootzén, 2019. "The threat to climate change mitigation posed by the abundance of fossil fuels," Climate Policy, Taylor & Francis Journals, vol. 19(2), pages 258-274, February.
    22. Oliver, Henry & Volschenk, Jako & Smit, Eon, 2011. "Residential consumers in the Cape Peninsula's willingness to pay for premium priced green electricity," Energy Policy, Elsevier, vol. 39(2), pages 544-550, February.
    23. Fang, Xingming & Wang, Lu & Sun, Chuanwang & Zheng, Xuemei & Wei, Jing, 2021. "Gap between words and actions: Empirical study on consistency of residents supporting renewable energy development in China," Energy Policy, Elsevier, vol. 148(PA).
    24. Alipour, M. & Salim, H. & Stewart, Rodney A. & Sahin, Oz, 2020. "Predictors, taxonomy of predictors, and correlations of predictors with the decision behaviour of residential solar photovoltaics adoption: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).
    25. Liu, Wenling & Wang, Can & Mol, Arthur P.J., 2013. "Rural public acceptance of renewable energy deployment: The case of Shandong in China," Applied Energy, Elsevier, vol. 102(C), pages 1187-1196.
    26. Liobikienė, Genovaitė & Dagiliūtė, Renata, 2021. "Do positive aspects of renewable energy contribute to the willingness to pay more for green energy?," Energy, Elsevier, vol. 231(C).
    27. Diaz-Rainey, Ivan & Ashton, John K., 2015. "Investment inefficiency and the adoption of eco-innovations: The case of household energy efficiency technologies," Energy Policy, Elsevier, vol. 82(C), pages 105-117.
    28. Menyeh, Bridget Okyerebea, 2021. "Financing electricity access in Africa: A choice experiment study of household investor preferences for renewable energy investments in Ghana," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    29. Ayodele, T.R. & Ogunjuyigbe, A.S.O. & Ajayi, O.D. & Yusuff, A.A. & Mosetlhe, T.C., 2021. "Willingness to pay for green electricity derived from renewable energy sources in Nigeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    30. Chica-Olmo, Jorge & Sari-Hassoun, Salaheddine & Moya-Fernández, Pablo, 2020. "Spatial relationship between economic growth and renewable energy consumption in 26 European countries," Energy Economics, Elsevier, vol. 92(C).
    31. Mahony, Tadhg O', 2013. "Decomposition of Ireland's carbon emissions from 1990 to 2010: An extended Kaya identity," Energy Policy, Elsevier, vol. 59(C), pages 573-581.
    32. Anna Kowalska-Pyzalska, 2018. "An Empirical Analysis of Green Electricity Adoption Among Residential Consumers in Poland," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
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