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Consumers’ Willingness to Pay for the Solar Photovoltaic System in the Post-Subsidy Era: A Comparative Analysis under an Urban-Rural Divide

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  • Xintao Li

    (Zhou Enlai School of Government, Nankai University, Tianjin 300350, China
    Chinese Government and Policy Joint Research Center, Nankai University, Tianjin 300350, China)

  • Xue’er Xu

    (Zhou Enlai School of Government, Nankai University, Tianjin 300350, China)

  • Diyi Liu

    (Zhou Enlai School of Government, Nankai University, Tianjin 300350, China)

  • Mengqiao Han

    (Business School, Nankai University, Tianjin 300071, China)

  • Siqi Li

    (School of Humanities and Social Sciences, Beijing Institute of Petrochemical Technology, Beijing 102627, China)

Abstract

Concerns about the environment and renewable energy are growing. Improving the perception of renewable energy in urban and rural households is required to promote green development and to learn about consumer preferences for renewable energy based on the gradual reduction in financial subsidies for photovoltaic (PV) power generation. This paper aims to estimate the willingness of consumers to pay for a Household PV system and explores the factors that affect consumers’ product selection, which is conducive to optimizing Household PV products and policies and is important for achieving the carbon peaking and carbon neutrality goals. Using a discrete choice model, this paper surveyed 765 urban and rural residents without installing Household PV systems in Tianjin, China. Subsequently, the respondents’ attribute preferences and willingness to pay (WTP) for a Household PV system were analyzed using a logit regression analysis model. The influence of respondents’ socio-economic characteristics on WTP was analyzed. The empirical results showed that (1) price significantly impacts consumers’ PV adoption behaviors and consumers tend to choose cheaper PV products; (2) consumers are more willing to pay for the after-sales service (3959 USD/level) and traceable information (2176 USD/level), indicating their preference for these two attributes when considering options; (3) socio-economic variables, including gender and the number of minor children (i.e., children under the age of 18) at home, significantly impact consumers’ PV adoption behaviors. Males and consumers without minor children at home will pay more attention when selecting the products. Our research findings will provide valuable insights into policy making and the wide-ranging use of Household PV systems.

Suggested Citation

  • Xintao Li & Xue’er Xu & Diyi Liu & Mengqiao Han & Siqi Li, 2022. "Consumers’ Willingness to Pay for the Solar Photovoltaic System in the Post-Subsidy Era: A Comparative Analysis under an Urban-Rural Divide," Energies, MDPI, vol. 15(23), pages 1-22, November.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:9022-:d:987320
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    References listed on IDEAS

    as
    1. Tan, Ruipeng & Lin, Boqiang, 2019. "Public perception of new energy vehicles: Evidence from willingness to pay for new energy bus fares in China," Energy Policy, Elsevier, vol. 130(C), pages 347-354.
    2. Annukka Vainio & Riikka Paloniemi & Vilja Varho, 2017. "Weighing the Risks of Nuclear Energy and Climate Change: Trust in Different Information Sources, Perceived Risks, and Willingness to Pay for Alternatives to Nuclear Power," Risk Analysis, John Wiley & Sons, vol. 37(3), pages 557-569, March.
    3. Irfan Ullah & Kai Liu & Tran Vanduy, 2019. "Examining Travelers’ Acceptance towards Car Sharing Systems—Peshawar City, Pakistan," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
    4. Paolo Bragolusi & Chiara D’Alpaos, 2021. "The Willingness to Pay for Residential PV Plants in Italy: A Discrete Choice Experiment," Sustainability, MDPI, vol. 13(19), pages 1-13, September.
    5. Chesser, Michael & Hanly, Jim & Cassells, Damien & Apergis, Nicholas, 2018. "The positive feedback cycle in the electricity market: Residential solar PV adoption, electricity demand and prices," Energy Policy, Elsevier, vol. 122(C), pages 36-44.
    6. Balbontin, Camila & Hensher, David A., 2021. "Understanding business location decision making for transport planning: An investigation of the role of process rules in identifying influences on firm location," Journal of Transport Geography, Elsevier, vol. 91(C).
    7. Bartczak, Anna & Chilton, Susan & Czajkowski, Mikołaj & Meyerhoff, Jürgen, 2017. "Gain and loss of money in a choice experiment. The impact of financial loss aversion and risk preferences on willingness to pay to avoid renewable energy externalities," Energy Economics, Elsevier, vol. 65(C), pages 326-334.
    8. Hotaling, Chelsea & Bird, Stephen & Heintzelman, Martin D., 2021. "Willingness to pay for microgrids to enhance community resilience," Energy Policy, Elsevier, vol. 154(C).
    9. Nduka, Eleanya, 2021. "How to get rural households out of energy poverty in Nigeria: A contingent valuation," Energy Policy, Elsevier, vol. 149(C).
    10. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    11. Pilar Lisbona & Sara Pascual & Virginia Pérez, 2021. "Evaluation of Synergies of a Biomass Power Plant and a Biogas Station with a Carbon Capture System," Energies, MDPI, vol. 14(4), pages 1-23, February.
    12. 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.
    13. Kebede, Kassahun Y. & Mitsufuji, Toshio, 2017. "Technological innovation system building for diffusion of renewable energy technology: A case of solar PV systems in Ethiopia," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 242-253.
    14. Kim, Hyeyoung & House, Lisa A. & KIm, Tae-Kyun, 2016. "Consumer perceptions of climate change and willingness to pay for mandatory implementation of low carbon labels: the case of South Korea," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(4), October.
    15. Mamadzhanov, Alisher & McCluskey, Jill J. & Li, Tongzhe, 2019. "Willingness to pay for a second-generation bioethanol: A case study of Korea," Energy Policy, Elsevier, vol. 127(C), pages 464-474.
    16. Yong Liu & Dewei Yang & Hengzhou Xu, 2017. "Factors Influencing Consumer Willingness to Pay for Low‐Carbon Products: A Simulation Study in China," Business Strategy and the Environment, Wiley Blackwell, vol. 26(7), pages 972-984, November.
    17. Ogidiama, Oghare Victor & Abu-Zahra, Mohammad R.M. & Shamim, Tariq, 2018. "Techno-economic analysis of a poly-generation solar-assisted chemical looping combustion power plant," Applied Energy, Elsevier, vol. 228(C), pages 724-735.
    18. Xie, Bai-Chen & Zhao, Wei, 2018. "Willingness to pay for green electricity in Tianjin, China: Based on the contingent valuation method," Energy Policy, Elsevier, vol. 114(C), pages 98-107.
    19. Marco Raugei, 2022. "Update on the Life-Cycle GHG Emissions of Passenger Vehicles: Literature Review and Harmonization," Energies, MDPI, vol. 15(19), pages 1-13, September.
    20. Kenneth Möllersten & Lin Gao & Jinyue Yan, 2006. "CO 2 Capture in Pulp and Paper Mills: CO 2 Balances and Preliminary Cost Assessment," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 11(5), pages 1129-1150, September.
    21. Wen-Hsien Tsai, 2020. "Carbon Emission Reduction—Carbon Tax, Carbon Trading, and Carbon Offset," Energies, MDPI, vol. 13(22), pages 1-7, November.
    22. Ryan, Alexander Joel & Donou-Adonsou, Ficawoyi & Calkins, Lindsay Noble, 2019. "Subsidizing the sun: The impact of state policies on electricity generated from solar photovoltaic," Economic Analysis and Policy, Elsevier, vol. 63(C), pages 1-10.
    23. Martínez-Cruz, Adán L. & Núñez, Héctor M., 2021. "Tension in Mexico's energy transition: Are urban residential consumers in Aguascalientes willing to pay for renewable energy and green jobs?," Energy Policy, Elsevier, vol. 150(C).
    24. Muhammad Safdar & Arshad Jamal & Hassan M. Al-Ahmadi & Muhammad Tauhidur Rahman & Meshal Almoshaogeh, 2022. "Analysis of the Influential Factors towards Adoption of Car-Sharing: A Case Study of a Megacity in a Developing Country," Sustainability, MDPI, vol. 14(5), pages 1-25, February.
    25. Lee, Chul-Yong & Heo, Hyejin, 2016. "Estimating willingness to pay for renewable energy in South Korea using the contingent valuation method," Energy Policy, Elsevier, vol. 94(C), pages 150-156.
    26. Thapa, Samir & Morrison, Mark & Parton, Kevin A, 2021. "Willingness to pay for domestic biogas plants and distributing carbon revenues to influence their purchase: A case study in Nepal," Energy Policy, Elsevier, vol. 158(C).
    27. Dobrotkova, Zuzana & Surana, Kavita & Audinet, Pierre, 2018. "The price of solar energy: Comparing competitive auctions for utility-scale solar PV in developing countries," Energy Policy, Elsevier, vol. 118(C), pages 133-148.
    28. Irie, Noriko & Kawahara, Naoko, 2022. "Consumer preferences for local renewable electricity production in Japan: A choice experiment," Renewable Energy, Elsevier, vol. 182(C), pages 1171-1181.
    29. Mariana Durango-Flórez & Daniel González-Montoya & Luz Adriana Trejos-Grisales & Carlos Andres Ramos-Paja, 2022. "PV Array Reconfiguration Based on Genetic Algorithm for Maximum Power Extraction and Energy Impact Analysis," Sustainability, MDPI, vol. 14(7), pages 1-14, March.
    30. Dong, Changgui & Sigrin, Benjamin, 2019. "Using willingness to pay to forecast the adoption of solar photovoltaics: A “parameterization + calibration” approach," Energy Policy, Elsevier, vol. 129(C), pages 100-110.
    31. Radmehr, Mehrshad & Willis, Ken & Kenechi, Ugo Elinwa, 2014. "A framework for evaluating WTP for BIPV in residential housing design in developing countries: A case study of North Cyprus," Energy Policy, Elsevier, vol. 70(C), pages 207-216.
    32. Hojnik, Jana & Ruzzier, Mitja & Fabri, Stephanie & Klopčič, Alenka Lena, 2021. "What you give is what you get: Willingness to pay for green energy," Renewable Energy, Elsevier, vol. 174(C), pages 733-746.
    33. Yamaguchi, Yohei & Akai, Kenju & Shen, Junyi & Fujimura, Naoki & Shimoda, Yoshiyuki & Saijo, Tatsuyoshi, 2013. "Prediction of photovoltaic and solar water heater diffusion and evaluation of promotion policies on the basis of consumers’ choices," Applied Energy, Elsevier, vol. 102(C), pages 1148-1159.
    34. Antans Sauhats & Laila Zemite & Lubov Petrichenko & Igor Moshkin & Aivo Jasevics, 2018. "Estimating the Economic Impacts of Net Metering Schemes for Residential PV Systems with Profiling of Power Demand, Generation, and Market Prices," Energies, MDPI, vol. 11(11), pages 1-19, November.
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