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Influence of Residential Photovoltaic Promotion Policy on Installation Intention in Typical Regions of China

Author

Listed:
  • Shali Wang

    (School of Management, China University of Mining & Technology (Beijing), Beijing 100083, China
    These authors contributed equally to this work.)

  • Jiaxi Wu

    (School of Management, China University of Mining & Technology (Beijing), Beijing 100083, China
    These authors contributed equally to this work.)

  • Yunan Peng

    (School of Management, China University of Mining & Technology (Beijing), Beijing 100083, China)

  • Jane Xu

    (Faculty of Social Sciences and Business Studies, University of Eastern Finland, FI-70211 Kuopio, Finland)

  • Lisa Leinonen

    (Faculty of Social Sciences and Business Studies, University of Eastern Finland, FI-70211 Kuopio, Finland)

  • Yuyu Wang

    (Faculty of Social Sciences and Business Studies, University of Eastern Finland, FI-70211 Kuopio, Finland)

  • Zheng Meng

    (School of Management, China University of Mining & Technology (Beijing), Beijing 100083, China)

Abstract

Increasing the popularity of distributed photovoltaic technology among Chinese residents is of great significance to achieve the dual carbon goal (emission peak and carbon neutrality). In this study, we collected 1424 questionnaire samples and used PLS-SEM for group modeling and comparative analysis of bungalow and building residents. The results show that living conditions, costs, risks of installation, maintenance, and economic efficiency are the five significant influencing factors for residents to decide whether to install a distributed residential photovoltaic equipment. Compared with building residents, bungalow residents tend to feel more concerned about the cost and risk of residential photovoltaic equipment during installation, maintenance, and use. On the other hand, bungalow residents show greater sensitivity to the corresponding photovoltaic promotion policies. By contrast, building residents pay more attention to the direct benefit created by the installation of residential photovoltaic equipment. Therefore, adopting the strategy from bungalow residents to building residents could help promote the distributed photovoltaic system progressively. As for the subsidy decline, more attention shall be paid to the progress of a gradual reduction of the subsidies. It is advisable to pay attention to integrating the upstream and downstream industry chains of the distributed photovoltaic systems, thus reducing the concern of residents about the difficulty in installing, maintaining, and protecting the distributed photovoltaic equipment. By clarifying the different impacts of promotion policies on the demand side, this study provides a practical reference for the further adjustment made to distributed photovoltaic promotion policies.

Suggested Citation

  • Shali Wang & Jiaxi Wu & Yunan Peng & Jane Xu & Lisa Leinonen & Yuyu Wang & Zheng Meng, 2022. "Influence of Residential Photovoltaic Promotion Policy on Installation Intention in Typical Regions of China," Sustainability, MDPI, vol. 14(14), pages 1-30, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8659-:d:863344
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    References listed on IDEAS

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    1. Hancevic, Pedro I. & Nuñez, Hector M., "undated". "Distributed Photovoltaic Power Generation: A Widespread Application in the Mexican Residential Sector," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258129, Agricultural and Applied Economics Association.
    2. Sioshansi, Ramteen, 2016. "Retail electricity tariff and mechanism design to incentivize distributed renewable generation," Energy Policy, Elsevier, vol. 95(C), pages 498-508.
    3. Karjalainen, Sami & Ahvenniemi, Hannele, 2019. "Pleasure is the profit - The adoption of solar PV systems by households in Finland," Renewable Energy, Elsevier, vol. 133(C), pages 44-52.
    4. Parkins, John R. & Rollins, Curtis & Anders, Sven & Comeau, Louise, 2018. "Predicting intention to adopt solar technology in Canada: The role of knowledge, public engagement, and visibility," Energy Policy, Elsevier, vol. 114(C), pages 114-122.
    5. Shuai Wang & Yao Li & Junjun Jia, 2022. "How to promote sustainable adoption of residential distributed photovoltaic generation in China? An employment of incentive and punitive policies," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(2), pages 1-26, February.
    6. Zhang, Sufang, 2016. "Analysis of DSPV (distributed solar PV) power policy in China," Energy, Elsevier, vol. 98(C), pages 92-100.
    7. Kim, Heetae & Park, Eunil & Kwon, Sang Jib & Ohm, Jay Y. & Chang, Hyun Joon, 2014. "An integrated adoption model of solar energy technologies in South Korea," Renewable Energy, Elsevier, vol. 66(C), pages 523-531.
    8. He, Yongxiu & Pang, Yuexia & Li, Xinmin & Zhang, Minhui, 2018. "Dynamic subsidy model of photovoltaic distributed generation in China," Renewable Energy, Elsevier, vol. 118(C), pages 555-564.
    9. Lin, Boqiang & Li, Zheng, 2022. "Towards world's low carbon development: The role of clean energy," Applied Energy, Elsevier, vol. 307(C).
    10. Qadir, Saeed & Dosmagambet, Yergali, 2020. "CAREC energy corridor: Opportunities, challenges, and IMPACT of regional energy trade integration on carbon emissions and energy access," Energy Policy, Elsevier, vol. 147(C).
    11. Abreu, Joana & Wingartz, Nathalie & Hardy, Natasha, 2019. "New trends in solar: A comparative study assessing the attitudes towards the adoption of rooftop PV," Energy Policy, Elsevier, vol. 128(C), pages 347-363.
    12. Hancevic, Pedro I. & Nuñez, Hector M. & Rosellon, Juan, 2017. "Distributed photovoltaic power generation: Possibilities, benefits, and challenges for a widespread application in the Mexican residential sector," Energy Policy, Elsevier, vol. 110(C), pages 478-489.
    13. Lu, Qing & Yu, Hao & Zhao, Kangli & Leng, Yajun & Hou, Jianchao & Xie, Pinjie, 2019. "Residential demand response considering distributed PV consumption: A model based on China's PV policy," Energy, Elsevier, vol. 172(C), pages 443-456.
    14. Lapo Mola & Quentin Berger & Karoliina Haavisto & Isabella Soscia, 2020. "Mobility as a Service: An Exploratory Study of Consumer Mobility Behaviour," Sustainability, MDPI, vol. 12(19), pages 1-14, October.
    15. Muhammad-Sukki, Firdaus & Ramirez-Iniguez, Roberto & Abu-Bakar, Siti Hawa & McMeekin, Scott G. & Stewart, Brian G., 2011. "An evaluation of the installation of solar photovoltaic in residential houses in Malaysia: Past, present, and future," Energy Policy, Elsevier, vol. 39(12), pages 7975-7987.
    16. Wenjie Zhang & Yuqiang Zhao & Fengcheng Huang & Yongheng Zhong & Jianwei Zhou, 2021. "Forecasting the Energy and Economic Benefits of Photovoltaic Technology in China’s Rural Areas," Sustainability, MDPI, vol. 13(15), pages 1-22, July.
    17. Du, Mengbing & Zhang, Xiaoling & Xia, Lang & Cao, Libin & Zhang, Zhe & Zhang, Li & Zheng, Heran & Cai, Bofeng, 2022. "The China Carbon Watch (CCW) system: A rapid accounting of household carbon emissions in China at the provincial level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    18. Park, Chan-Kook & Kim, Hyun-Jae & Kim, Yang-Soo, 2014. "A study of factors enhancing smart grid consumer engagement," Energy Policy, Elsevier, vol. 72(C), pages 211-218.
    19. Martinez-Poveda, Africa & Molla-Bauza, Margarita Brugarolas & del Campo Gomis, Francisco Jose & Martinez, Laura Martinez-Carrasco, 2009. "Consumer-perceived risk model for the introduction of genetically modified food in Spain," Food Policy, Elsevier, vol. 34(6), pages 519-528, December.
    20. D’Adamo, Idiano & Falcone, Pasquale Marcello & Gastaldi, Massimo & Morone, Piergiuseppe, 2020. "The economic viability of photovoltaic systems in public buildings: Evidence from Italy," Energy, Elsevier, vol. 207(C).
    21. Rajabi, A. & Elphick, S. & David, J. & Pors, A. & Robinson, D., 2022. "Innovative approaches for assessing and enhancing the hosting capacity of PV-rich distribution networks: An Australian perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    22. De Groote, Olivier & Pepermans, Guido & Verboven, Frank, 2016. "Heterogeneity in the adoption of photovoltaic systems in Flanders," Energy Economics, Elsevier, vol. 59(C), pages 45-57.
    23. Wang, Xiaozhen & Zheng, Ying & Jiang, Zihao & Tao, Ziyang, 2021. "Influence mechanism of subsidy policy on household photovoltaic purchase intention under an urban-rural divide in China," Energy, Elsevier, vol. 220(C).
    24. Ali S. Alghamdi, 2021. "Performance Enhancement of Roof-Mounted Photovoltaic System: Artificial Neural Network Optimization of Ground Coverage Ratio," Energies, MDPI, vol. 14(6), pages 1-18, March.
    25. Hartvigsson, Elias & Odenberger, Mikael & Chen, Peiyuan & Nyholm, Emil, 2021. "Estimating national and local low-voltage grid capacity for residential solar photovoltaic in Sweden, UK and Germany," Renewable Energy, Elsevier, vol. 171(C), pages 915-926.
    26. Jin Zhang & Lianrui Ma & Jinkai Li, 2021. "Why Low-Carbon Publicity Effect Limits? The Role of Heterogeneous Intention in Reducing Household Energy Consumption," Energies, MDPI, vol. 14(22), pages 1-17, November.
    27. Shigetomi, Yosuke & Matsumoto, Ken'ichi & Ogawa, Yuki & Shiraki, Hiroto & Yamamoto, Yuki & Ochi, Yuki & Ehara, Tomoki, 2018. "Driving forces underlying sub-national carbon dioxide emissions within the household sector and implications for the Paris Agreement targets in Japan," Applied Energy, Elsevier, vol. 228(C), pages 2321-2332.
    28. dos Santos, L.L.C. & Canha, L.N. & Bernardon, D.P., 2018. "Projection of the diffusion of photovoltaic systems in residential low voltage consumers," Renewable Energy, Elsevier, vol. 116(PA), pages 384-401.
    29. Steg, Linda, 2008. "Promoting household energy conservation," Energy Policy, Elsevier, vol. 36(12), pages 4449-4453, December.
    30. Darja Topolšek & Dario Babić & Darko Babić & Tina Cvahte Ojsteršek, 2020. "Factors Influencing the Purchase Intention of Autonomous Cars," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    31. Gonçalves, Juliana E. & Montazeri, Hamid & van Hooff, Twan & Saelens, Dirk, 2021. "Performance of building integrated photovoltaic facades: Impact of exterior convective heat transfer," Applied Energy, Elsevier, vol. 287(C).
    32. Wustenhagen, Rolf & Bilharz, Michael, 2006. "Green energy market development in Germany: effective public policy and emerging customer demand," Energy Policy, Elsevier, vol. 34(13), pages 1681-1696, September.
    33. Yang, Ying & Campana, Pietro Elia & Stridh, Bengt & Yan, Jinyue, 2020. "Potential analysis of roof-mounted solar photovoltaics in Sweden," Applied Energy, Elsevier, vol. 279(C).
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