Do different government policies contribute to electricity suppliers’ renewable energy investments?

Hua Wang, Weihua Huang, Peng Zhang, Yao Jin, Yanle Xie, Cuicui Wang

Article ID: 5470
Vol 8, Issue 8, 2024

VIEWS - 1426 (Abstract)

Abstract


To achieve the energy transition and carbon neutrality targets, governments have implemented multiple policies to incentivize electricity suppliers to invest in renewable energy. Considering different government policies, we construct a renewable energy supply chain consisting of electricity suppliers and electricity retailers. We then explore the impact of four policies on electricity suppliers’ renewable energy investments, environmental impacts, and social welfare. We validated the results based on data from Wuxi, Jiangsu Province, China. The results show that government subsidy policies are more effective in promoting electricity suppliers to invest in renewable energy as consumer preferences increase, while no-government policies are the least effective. We also show that electricity suppliers are most profitable under the government subsidy policy and least profitable under the carbon cap-and-trade policy. Besides, our results indicate that social welfare is the worst under the carbon cap-and-trade policy. With the increase in carbon intensity and renewable energy quota, social welfare is the highest under the subsidy policy. However, the social welfare under the renewable energy portfolio standard is optimal when the renewable energy quota is low.


Keywords


renewable energy investment; government policy; environmental impact; social welfare

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References

  1. Adib, R., Murdock, H. E., Appavou, F., et al. (2016). Renewables 2016 Global Status Report: Global Status Report Renewable Energy Policy Network for the 21st Century (REN21). Available online: https://ren21.net/gsr-2016/00-acknowledgements.php (accessed on 30 October 2022).
  2. Al-Barakati, A., Mishra, A. R., Mardani, A., et al. (2022). An extended interval-valued Pythagorean fuzzy WASPAS method based on new similarity measures to evaluate the renewable energy sources. Applied Soft Computing, 120, 108689. https://doi.org/10.1016/j.asoc.2022.108689
  3. Amin, W., Huang, Q., Afzal, M., et al. (2020). Consumers’ preference based optimal price determination model for P2P energy trading. Electric Power Systems Research, 187, 106488. https://doi.org/10.1016/j.epsr.2020.106488
  4. Atakan, S., Gangammanavar, H., & Sen, S. (2022). Towards a sustainable power grid: Stochastic hierarchical planning for high renewable integration. European Journal of Operational Research, 302(1), 381–391. https://doi.org/10.1016/j.ejor.2021.12.042
  5. Babich, V., Lobel, R., & Yücel, Ş. (2020). Promoting Solar Panel Investments: Feed-in-Tariff vs. Tax-Rebate Policies. Manufacturing & Service Operations Management, 22(6), 1148–1164. https://doi.org/10.1287/msom.2019.0860
  6. Bae, J. H., Rishi, M., & Li, D. (2021). Consumer preferences for a green certificate program in South Korea. Energy, 230, 120726. https://doi.org/10.1016/j.energy.2021.120726
  7. Bangjun, W., Feng, Z., Feng, J., et al. (2022). Decision making on investments in photovoltaic power generation projects based on renewable portfolio standard: Perspective of real option. Renewable Energy, 189, 1033–1045. https://doi.org/10.1016/j.renene.2022.02.112
  8. Chaikumbung, M. (2021). Institutions and consumer preferences for renewable energy: A meta-regression analysis. Renewable and Sustainable Energy Reviews, 146, 111143. https://doi.org/10.1016/j.rser.2021.111143
  9. Chen, Z., Xiao, X., & Nie, P. (2020). Renewable energy hybrid subsidy combining input and output subsidies. Environmental Science and Pollution Research, 28(8), 9157–9164. https://doi.org/10.1007/s11356-020-11369-9
  10. China Carbon Cap-and-Trade Market. (n.d.). China Carbon Cap-and-Trade Market. Available online: http://www.tanjiaoyi.org.cn/ (accessed on 25 October 2023).
  11. Colasante, A., D’Adamo, I., & Morone, P. (2021). Nudging for the increased adoption of solar energy? Evidence from a survey in Italy. Energy Research & Social Science, 74, 101978. https://doi.org/10.1016/j.erss.2021.101978
  12. CPG. (n.d.). Energy data sharing platform. Available online: http://www.nengyuanyan.com/ (accessed on 25 October 2023).
  13. Evensen, D. (2017). Renewable energy policy: Enumerating costs reduces support. Nature Energy, 2(8). https://doi.org/10.1038/nenergy.2017.106
  14. Fan, R., Bao, X., Du, K., et al. (2022). The effect of government policies and consumer green preferences on the R&D diffusion of new energy vehicles: A perspective of complex network games. Energy, 254, 124316. https://doi.org/10.1016/j.energy.2022.124316.
  15. Heeter, J. S., Speer, B. K., & Glick, M. B. (2019). International Best Practices for Implementing and Designing Renewable Portfolio Standard (RPS) Policies. Office of Scientific and Technical Information (OSTI). https://doi.org/10.2172/1507986
  16. IEA. (2022). World Energy Outlook 2022. Available online: https://www.iea.org/reports/world-energy-outlook-2022 (accessed on 30 October 2022).
  17. Itaoka, K., Chapman, A., & Farabi-Asl, H. (2022). Underpinnings of consumer preferences and participation in Japan’s liberalized energy market. Utilities Policy, 76, 101379. https://doi.org/10.1016/j.jup.2022.101379
  18. Kesari, B., Atulkar, S., & Pandey, S. (2018). Consumer Purchasing Behaviour towards Eco-Environment Residential Photovoltaic Solar Lighting Systems. Global Business Review, 22(1), 236–254. https://doi.org/10.1177/0972150918795550
  19. Kök, A. G., Shang, K., & Yücel, Ş. (2018). Impact of Electricity Pricing Policies on Renewable Energy Investments and Carbon Emissions. Management Science, 64(1), 131–148. https://doi.org/10.1287/mnsc.2016.2576
  20. Kök, A. G., Shang, K., & Yücel, Ş. (2020). Investments in Renewable and Conventional Energy: The Role of Operational Flexibility. Manufacturing & Service Operations Management, 22(5), 925–941. https://doi.org/10.1287/msom.2019.0789
  21. Koponen, K., & Le Net, E. (2021). Towards robust renewable energy investment decisions at the territorial level. Applied Energy, 287, 116552. https://doi.org/10.1016/j.apenergy.2021.116552
  22. Liu, H., Kou, X., Xu, G., et al. (2021). Which emission reduction mode is the best under the carbon cap-and-trade mechanism? Journal of Cleaner Production, 314, 128053. https://doi.org/10.1016/j.jclepro.2021.128053
  23. Liu, Z., Anderson, T. D., & Cruz, J. M. (2012). Consumer environmental awareness and competition in two-stage supply chains. European Journal of Operational Research, 218(3), 602–613. https://doi.org/10.1016/j.ejor.2011.11.027
  24. Masrahi, A., Wang, J.-H., & Abudiyah, A. K. (2021). Factors influencing consumers’ behavioral intentions to use renewable energy in the United States residential sector. Energy Reports, 7, 7333–7344. https://doi.org/10.1016/j.egyr.2021.10.077
  25. National Energy Administration (NEA). (2019). Notice of the State Energy Administration on establishing and improving the guarantee mechanism of renewable energy power consumption. Available online: http://zfxxgk.nea.gov.cn/auto87/201905/t20190515 _3662.htm (accessed on 30 October 2022).
  26. National Energy Information Platform. (n.d.). National Energy Information Platform. Available online: http://pt.people-energy.com.cn/ (accessed on 25 October 2023).
  27. National Energy Network. (n.d.). National Energy Network. Available online: http://www.ocpe.com.cn/ (accessed on 25 October 2023).
  28. Niamir, L., Ivanova, O., Filatova, T., et al. (2020). Demand-side solutions for climate mitigation: Bottom-up drivers of household energy behavior change in the Netherlands and Spain. Energy Research & Social Science, 62, 101356. https://doi.org/10.1016/j.erss.2019.101356
  29. Sendstad, L. H., Hagspiel, V., Mikkelsen, W. J., et al. (2022). The impact of subsidy retraction on European renewable energy investments. Energy Policy, 160, 112675. https://doi.org/10.1016/j.enpol.2021.112675
  30. Statistical Review of World Energy. (2021). Webcast archive. Available online: https://www.bp.com/en/global/corporate/energy-economics/webcast-and-on-demand.html#tab_2021 (accessed 30 October 2022).
  31. Tsao, Y. C., Vu, T. L., & Lu, J. C. (2021). Pricing, capacity and financing policies for investment of renewable energy generations. Applied Energy, 303, 117664. https://doi.org/10.1016/j.apenergy.2021.117664
  32. Umit, R., Poortinga, W., Jokinen, P., et al. (2019). The role of income in energy efficiency and curtailment behaviours: Findings from 22 European countries. Energy Research & Social Science, 53, 206–214. https://doi.org/10.1016/j.erss.2019.02.025
  33. Venugopal, A., & Shukla, D. (2018). Identifying consumers’ engagement with renewable energy. Business Strategy and the Environment, 28(1), 53–63. https://doi.org/10.1002/bse.2185
  34. Wall, R., Grafakos, S., Gianoli, A., et al. (2018). Which policy instruments attract foreign direct investments in renewable energy? Climate Policy, 19(1), 59–72. https://doi.org/10.1080/14693062.2018.1467826
  35. Wang, L., & Li, K. (2022). Research on renewable energy consumption and emission reduction in power market based on bi-level decision making in China. Energy, 260, 125119. https://doi.org/10.1016/j.energy.2022.125119
  36. Wei, C., Li-Feng, Z., & Hong-Yan, D. (2021). Impact of cap-and-trade mechanisms on investments in renewable energy and marketing effort. Sustainable Production and Consumption, 28, 1333–1342. https://doi.org/10.1016/j.spc.2021.08.010
  37. Williams, R. H. (2001). Toward zero emissions from coal in China. Energy for Sustainable Development. 5, 39-65.
  38. Xin-gang, Z., Yi, Z., Hui, W., et al. (2022). How can the cost and effectiveness of renewable portfolio standards be coordinated? Incentive mechanism design from the coevolution perspective. Renewable and Sustainable Energy Reviews, 158, 112096. https://doi.org/10.1016/j.rser.2022.112096
  39. Yan, Y., Sun, M., & Guo, Z. (2022). How do carbon cap-and-trade mechanisms and renewable portfolio standards affect renewable energy investment? Energy Policy, 165, 112938. https://doi.org/10.1016/j.enpol.2022.112938
  40. Yang, D., Chen, Z., & Nie, P. (2016). Output subsidy of renewable energy power industry under asymmetric information. Energy, 117, 291–299. https://doi.org/10.1016/j.energy.2016.10.089
  41. Yang, X., He, L., Xia, Y., et al. (2019). Effect of government subsidies on renewable energy investments: The threshold effect. Energy Policy, 132, 156–166. https://doi.org/10.1016/j.enpol.2019.05.039
  42. Yenipazarli, A. (2019). Incentives for environmental research and development: Consumer preferences, competitive pressure and emissions taxation. European Journal of Operational Research, 276(2), 757–769. https://doi.org/10.1016/j.ejor.2019.01.037
  43. Zhang, L., Li, S., Hu, Y., et al. (2022). Economic optimization of a bioenergy-based hybrid renewable energy system under carbon policies—from the life-cycle perspective. Applied Energy, 310, 118599. https://doi.org/10.1016/j.apenergy.2022.118599
  44. Zhang, Q., Wang, G., Li, Y., et al. (2018). Substitution effect of renewable portfolio standards and renewable energy certificate trading for feed-in tariff. Applied Energy, 227, 426–435. https://doi.org/10.1016/j.apenergy.2017.07.118
  45. Zhu, Q., Chen, X., Song, M., et al. (2022). Impacts of renewable electricity standard and Renewable Energy Certificates on renewable energy investments and carbon emissions. Journal of Environmental Management, 306, 114495. https://doi.org/10.1016/j.jenvman.2022.114495


DOI: https://doi.org/10.24294/jipd.v8i8.5470

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