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Subsidy strategy for distributed photovoltaics: A combined view of cost change and economic development

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  • Tang, Songlin
  • Zhou, Wenbing
  • Li, Xinjin
  • Chen, Yingchao
  • Zhang, Qian
  • Zhang, Xiliang

Abstract

Diminishing government subsidies for distributed photovoltaic (DPV) systems have aroused wide public concern. This paper intends to explore the influence mechanism of economic development and DPV subsidy strategy and provide a reference for promoting DPV development. Evolutionary game theory and empirical analysis are used to analyze the interactions between government and users in the process of DPV installation in China. The results from simulation analysis and empirical analysis show that the effect of DPV subsides is restricted by regional economic development. Based on local economic development, the government can choose high subsidy strategy or low subsidy strategy to guide the DPV development in a reasonable way. Additionally, the decreasing cost can effectively boost the demand for DPV investment with less subsidies, which accounts for why the government has reduced DPV subsidies. However, subsidy strategy will remain an important tool that coordinates local economies with DPV construction until the electricity generated by DPV systems can achieve grid connection at a comparable price. Moreover, technological innovation should be encouraged to reduce installation cost so that DPV systems can be accessed at affordable prices as soon as possible.

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  • Tang, Songlin & Zhou, Wenbing & Li, Xinjin & Chen, Yingchao & Zhang, Qian & Zhang, Xiliang, 2021. "Subsidy strategy for distributed photovoltaics: A combined view of cost change and economic development," Energy Economics, Elsevier, vol. 97(C).
  • Handle: RePEc:eee:eneeco:v:97:y:2021:i:c:s0140988320304278
    DOI: 10.1016/j.eneco.2020.105087
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    References listed on IDEAS

    as
    1. Lim, Sesil & Huh, Sung-Yoon & Shin, Jungwoo & Lee, Jongsu & Lee, Yong-Gil, 2019. "Enhancing public acceptance of renewable heat obligation policies in South Korea: Consumer preferences and policy implications," Energy Economics, Elsevier, vol. 81(C), pages 1167-1177.
    2. Lin, Boqiang & Xu, Mengmeng, 2019. "Good subsidies or bad subsidies? Evidence from low-carbon transition in China's metallurgical industry," Energy Economics, Elsevier, vol. 83(C), pages 52-60.
    3. Newell, Richard G. & Pizer, William A. & Raimi, Daniel, 2019. "U.S. federal government subsidies for clean energy: Design choices and implications," Energy Economics, Elsevier, vol. 80(C), pages 831-841.
    4. Xiong, Yongqing & Yang, Xiaohan, 2016. "Government subsidies for the Chinese photovoltaic industry," Energy Policy, Elsevier, vol. 99(C), pages 111-119.
    5. Yu, Feifei & Wang, Liting & Li, Xiaotong, 2020. "The effects of government subsidies on new energy vehicle enterprises: The moderating role of intelligent transformation," Energy Policy, Elsevier, vol. 141(C).
    6. Özdemir, Özge & Hobbs, Benjamin F. & van Hout, Marit & Koutstaal, Paul R., 2020. "Capacity vs energy subsidies for promoting renewable investment: Benefits and costs for the EU power market," Energy Policy, Elsevier, vol. 137(C).
    7. Fan, Ruguo & Dong, Lili, 2018. "The dynamic analysis and simulation of government subsidy strategies in low-carbon diffusion considering the behavior of heterogeneous agents," Energy Policy, Elsevier, vol. 117(C), pages 252-262.
    8. Martelli, Emanuele & Freschini, Marco & Zatti, Matteo, 2020. "Optimization of renewable energy subsidy and carbon tax for multi energy systems using bilevel programming," Applied Energy, Elsevier, vol. 267(C).
    9. Chen, Weidong & Zeng, Yu & Xu, Chongqing, 2019. "Energy storage subsidy estimation for microgrid: A real option game-theoretic approach," Applied Energy, Elsevier, vol. 239(C), pages 373-382.
    10. 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.
    11. Lu, Qing & Lü, Shuaikang & Leng, Yajun, 2019. "A Nash-Stackelberg game approach in regional energy market considering users’ integrated demand response," Energy, Elsevier, vol. 175(C), pages 456-470.
    12. Dietrich, Andreas & Weber, Christoph, 2018. "What drives profitability of grid-connected residential PV storage systems? A closer look with focus on Germany," Energy Economics, Elsevier, vol. 74(C), pages 399-416.
    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. Cole, Wesley & Frew, Bethany & Gagnon, Pieter & Reimers, Andrew & Zuboy, Jarett & Margolis, Robert, 2018. "Envisioning a low-cost solar future: Exploring the potential impact of Achieving the SunShot 2030 targets for photovoltaics," Energy, Elsevier, vol. 155(C), pages 690-704.
    15. Duan, Hongbo & Mo, Jianlei & Fan, Ying & Wang, Shouyang, 2018. "Achieving China's energy and climate policy targets in 2030 under multiple uncertainties," LSE Research Online Documents on Economics 86481, London School of Economics and Political Science, LSE Library.
    16. Lai, Chun Sing & McCulloch, Malcolm D., 2017. "Levelized cost of electricity for solar photovoltaic and electrical energy storage," Applied Energy, Elsevier, vol. 190(C), pages 191-203.
    17. Yu, Feifei & Guo, Yue & Le-Nguyen, Khuong & Barnes, Stuart J. & Zhang, Weiting, 2016. "The impact of government subsidies and enterprises’ R&D investment: A panel data study from renewable energy in China," Energy Policy, Elsevier, vol. 89(C), pages 106-113.
    18. Yong Jun Baek & Tae Yong Jung & Sung Jin Kang, 2019. "Low carbon scenarios and policies for the power sector in Botswana," Climate Policy, Taylor & Francis Journals, vol. 19(2), pages 219-230, February.
    19. Zhang, M.M. & Zhou, P. & Zhou, D.Q., 2016. "A real options model for renewable energy investment with application to solar photovoltaic power generation in China," Energy Economics, Elsevier, vol. 59(C), pages 213-226.
    20. Ji, Qiang & Zhang, Dayong, 2019. "How much does financial development contribute to renewable energy growth and upgrading of energy structure in China?," Energy Policy, Elsevier, vol. 128(C), pages 114-124.
    21. Huijben, J.C.C.M. & Verbong, G.P.J., 2013. "Breakthrough without subsidies? PV business model experiments in the Netherlands," Energy Policy, Elsevier, vol. 56(C), pages 362-370.
    22. Haar, Lawrence, 2020. "An empirical analysis of the fiscal incidence of renewable energy support in the European Union," Energy Policy, Elsevier, vol. 143(C).
    23. Qin, Quande & Liu, Yuan & Huang, Jia-Ping, 2020. "A cooperative game analysis for the allocation of carbon emissions reduction responsibility in China's power industry," Energy Economics, Elsevier, vol. 92(C).
    24. Duan, Hongbo & Mo, Jianlei & Fan, Ying & Wang, Shouyang, 2018. "Achieving China's energy and climate policy targets in 2030 under multiple uncertainties," Energy Economics, Elsevier, vol. 70(C), pages 45-60.
    25. Cohen, Jed & Azarova, Valeriya & Kollmann, Andrea & Reichl, Johannes, 2019. "Q-complementarity in household adoption of photovoltaics and electricity-intensive goods: The case of electric vehicles," Energy Economics, Elsevier, vol. 83(C), pages 567-577.
    26. Kang, Sang Baum & Létourneau, Pascal, 2016. "Investors’ reaction to the government credibility problem: A real option analysis of emission permit policy risk," Energy Economics, Elsevier, vol. 54(C), pages 96-107.
    27. Liu, Xiaoran & Ronn, Ehud I., 2020. "Using the binomial model for the valuation of real options in computing optimal subsidies for Chinese renewable energy investments," Energy Economics, Elsevier, vol. 87(C).
    28. Hagerman, Shelly & Jaramillo, Paulina & Morgan, M. Granger, 2016. "Is rooftop solar PV at socket parity without subsidies?," Energy Policy, Elsevier, vol. 89(C), pages 84-94.
    29. Xu, Xiaofeng & Wei, Zhifei & Ji, Qiang & Wang, Chenglong & Gao, Guowei, 2019. "Global renewable energy development: Influencing factors, trend predictions and countermeasures," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    30. Ma, Ben & Yu, Yihua & Urban, Frauke, 2018. "Green transition of energy systems in rural China: National survey evidence of households’ discrete choices on water heaters," Energy Policy, Elsevier, vol. 113(C), pages 559-570.
    31. Frey, Elaine F. & Mojtahedi, Saba, 2018. "The impact of solar subsidies on California's non-residential sector," Energy Policy, Elsevier, vol. 122(C), pages 27-35.
    32. Zhu, Bangzhu & Su, Bin & Li, Yingzhu & Ng, Tsan Sheng, 2020. "Embodied energy and intensity in China’s (normal and processing) exports and their driving forces, 2005-2015," Energy Economics, Elsevier, vol. 91(C).
    33. Palm, Alvar & Lantz, Björn, 2020. "Information dissemination and residential solar PV adoption rates: The effect of an information campaign in Sweden," Energy Policy, Elsevier, vol. 142(C).
    34. Yang, Xiaolei & He, Lingyun & Xia, Yufei & Chen, Yufeng, 2019. "Effect of government subsidies on renewable energy investments: The threshold effect," Energy Policy, Elsevier, vol. 132(C), pages 156-166.
    35. Ji, Shou-feng & Zhao, Dan & Luo, Rong-juan, 2019. "Evolutionary game analysis on local governments and manufacturers' behavioral strategies: Impact of phasing out subsidies for new energy vehicles," Energy, Elsevier, vol. 189(C).
    36. Yang, Fei-fei & Zhao, Xin-gang, 2018. "Policies and economic efficiency of China's distributed photovoltaic and energy storage industry," Energy, Elsevier, vol. 154(C), pages 221-230.
    37. Braito, Michael & Flint, Courtney & Muhar, Andreas & Penker, Marianne & Vogel, Stefan, 2017. "Individual and collective socio-psychological patterns of photovoltaic investment under diverging policy regimes of Austria and Italy," Energy Policy, Elsevier, vol. 109(C), pages 141-153.
    38. Dong, Rentao & Xu, Jiuping & Lin, Bo, 2017. "ROI-based study on impact factors of distributed PV projects by LSSVM-PSO," Energy, Elsevier, vol. 124(C), pages 336-349.
    Full references (including those not matched with items on IDEAS)

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