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Forecasting the diffusion of renewable electricity considering the impact of policy and oil prices: The case of South Korea

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  • Lee, Chul-Yong
  • Huh, Sung-Yoon

Abstract

In response to climate change, many countries have set renewable energy targets and implemented various policy tools. However, there are contrasting views on the effects of such policy tools, with many deeming international oil prices a potential factor driving renewable energy diffusion. Using an extended logistic growth model, this study aims to investigate this issue and predict the impact of policy tools and oil prices on renewable energy deployment in the electric power sector under various scenarios. The results show that the renewable portfolio standards more significantly influence the diffusion of renewable energy than the feed-in tariff in South Korea’s electric power sector and higher international oil prices have led to higher diffusion rates. The forecast indicates that South Korea will generate 40.4–85.9TWh of renewable electricity by 2024 depending on the scenario. The results also indicate that the renewable electricity diffusion rate will continue to increase by 2024, proving that the current diffusion is in its initial stage. The study concludes with implications for the government, which has a crucial role in the initial phase.

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  • Lee, Chul-Yong & Huh, Sung-Yoon, 2017. "Forecasting the diffusion of renewable electricity considering the impact of policy and oil prices: The case of South Korea," Applied Energy, Elsevier, vol. 197(C), pages 29-39.
  • Handle: RePEc:eee:appene:v:197:y:2017:i:c:p:29-39
    DOI: 10.1016/j.apenergy.2017.03.124
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    as
    1. Böhringer Christoph & Rivers Nicholas J. & Rutherford Thomas F. & Wigle Randall, 2012. "Green Jobs and Renewable Electricity Policies: Employment Impacts of Ontario's Feed-in Tariff," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 12(1), pages 1-40, June.
    2. 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.
    3. Alfredo Garcia & Juan Alzate & Jorge Barrera, 2012. "Regulatory design and incentives for renewable energy," Journal of Regulatory Economics, Springer, vol. 41(3), pages 315-336, June.
    4. Polzin, Friedemann & Migendt, Michael & Täube, Florian A. & von Flotow, Paschen, 2015. "Public policy influence on renewable energy investments—A panel data study across OECD countries," Energy Policy, Elsevier, vol. 80(C), pages 98-111.
    5. Uyterlinde, Martine A. & Junginger, Martin & de Vries, Hage J. & Faaij, Andre P.C. & Turkenburg, Wim C., 2007. "Implications of technological learning on the prospects for renewable energy technologies in Europe," Energy Policy, Elsevier, vol. 35(8), pages 4072-4087, August.
    6. Karakaya, Emrah, 2016. "Finite Element Method for forecasting the diffusion of photovoltaic systems: Why and how?," Applied Energy, Elsevier, vol. 163(C), pages 464-475.
    7. Lauber, Volkmar, 2004. "REFIT and RPS: options for a harmonised Community framework," Energy Policy, Elsevier, vol. 32(12), pages 1405-1414, August.
    8. Young, Peg & Ord, J. Keith, 1989. "Model selection and estimation for technological growth curves," International Journal of Forecasting, Elsevier, vol. 5(4), pages 501-513.
    9. Harijan, Khanji & Uqaili, Mohammad A. & Memon, Mujeebuddin & Mirza, Umar K., 2011. "Forecasting the diffusion of wind power in Pakistan," Energy, Elsevier, vol. 36(10), pages 6068-6073.
    10. Anis Omri & Saida Daly & Duc Khuong Nguyen, 2015. "A robust analysis of the relationship between renewable energy consumption and its main drivers," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2913-2923, June.
    11. Lipp, Judith, 2007. "Lessons for effective renewable electricity policy from Denmark, Germany and the United Kingdom," Energy Policy, Elsevier, vol. 35(11), pages 5481-5495, November.
    12. Palmer, Karen & Paul, Anthony & Woerman, Matt & Steinberg, Daniel C., 2011. "Federal policies for renewable electricity: Impacts and interactions," Energy Policy, Elsevier, vol. 39(7), pages 3975-3991, July.
    13. Marques, António C. & Fuinhas, José A. & Pires Manso, J.R., 2010. "Motivations driving renewable energy in European countries: A panel data approach," Energy Policy, Elsevier, vol. 38(11), pages 6877-6885, November.
    14. del Río, Pablo & Mir-Artigues, Pere, 2014. "Combinations of support instruments for renewable electricity in Europe: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 287-295.
    15. Malik, Ihtisham Abdul & Siyal, Ghamz-e-Ali & Bin Abdullah, Alias & Alam, Arif & Zaman, Khalid & Kyophilavong, Phouphet & Shahbaz, Muhammad & Baloch, Siraj Ullah & Shams, Tauqeer, 2014. "Turn on the lights: Macroeconomic factors affecting renewable energy in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 277-284.
    16. Shrimali, Gireesh & Kniefel, Joshua, 2011. "Are government policies effective in promoting deployment of renewable electricity resources?," Energy Policy, Elsevier, vol. 39(9), pages 4726-4741, September.
    17. Apergis, Nicholas & Payne, James E., 2014. "Renewable energy, output, CO2 emissions, and fossil fuel prices in Central America: Evidence from a nonlinear panel smooth transition vector error correction model," Energy Economics, Elsevier, vol. 42(C), pages 226-232.
    18. Geroski, P. A., 2000. "Models of technology diffusion," Research Policy, Elsevier, vol. 29(4-5), pages 603-625, April.
    19. Philippe Menanteau & Dominique Finon & Marie-Laure Lamy, 2003. "Prices versus quantities :environmental policies for promoting the development of renewable energy," Post-Print halshs-00480457, HAL.
    20. Huh, Sung-Yoon & Lee, Jongsu & Shin, Jungwoo, 2015. "The economic value of South Korea׳s renewable energy policies (RPS, RFS, and RHO): A contingent valuation study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 64-72.
    21. Fagiani, Riccardo & Richstein, Jörn C. & Hakvoort, Rudi & De Vries, Laurens, 2014. "The dynamic impact of carbon reduction and renewable support policies on the electricity sector," Utilities Policy, Elsevier, vol. 28(C), pages 28-41.
    22. Lee, Chul-Yong & Huh, Sung-Yoon, 2017. "Forecasting new and renewable energy supply through a bottom-up approach: The case of South Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 207-217.
    23. Kumbaroglu, Gürkan & Madlener, Reinhard & Demirel, Mustafa, 2008. "A real options evaluation model for the diffusion prospects of new renewable power generation technologies," Energy Economics, Elsevier, vol. 30(4), pages 1882-1908, July.
    24. Shrimali, Gireesh & Jenner, Steffen, 2013. "The impact of state policy on deployment and cost of solar photovoltaic technology in the U.S.: A sector-specific empirical analysis," Renewable Energy, Elsevier, vol. 60(C), pages 679-690.
    25. Usha Rao, K. & Kishore, V.V.N., 2009. "Wind power technology diffusion analysis in selected states of India," Renewable Energy, Elsevier, vol. 34(4), pages 983-988.
    26. repec:ipg:wpaper:2014-518 is not listed on IDEAS
    27. Nathan S. Balke & Stephen P.A. Brown & Mine K. Yucel, 2002. "Oil Price Shocks and the U.S. Economy: Where Does the Asymmetry Originate?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 27-52.
    28. Farzanegan, Mohammad Reza & Markwardt, Gunther, 2009. "The effects of oil price shocks on the Iranian economy," Energy Economics, Elsevier, vol. 31(1), pages 134-151, January.
    29. Du, Limin & Yanan, He & Wei, Chu, 2010. "The relationship between oil price shocks and China's macro-economy: An empirical analysis," Energy Policy, Elsevier, vol. 38(8), pages 4142-4151, August.
    30. Miguel Cárdenas Rodríguez & Ivan Haščič & Nick Johnstone & Jérôme Silva & Antoine Ferey, 2015. "Renewable Energy Policies and Private Sector Investment: Evidence from Financial Microdata," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(1), pages 163-188, September.
    31. Pérez de Arce, Miguel & Sauma, Enzo & Contreras, Javier, 2016. "Renewable energy policy performance in reducing CO2 emissions," Energy Economics, Elsevier, vol. 54(C), pages 272-280.
    32. Huh, Sung-Yoon & Lee, Chul-Yong, 2014. "Diffusion of renewable energy technologies in South Korea on incorporating their competitive interrelationships," Energy Policy, Elsevier, vol. 69(C), pages 248-257.
    33. Kwon, Tae-hyeong, 2015. "Rent and rent-seeking in renewable energy support policies: Feed-in tariff vs. renewable portfolio standard," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 676-681.
    34. Abolhosseini, Shahrouz & Heshmati, Almas, 2014. "The main support mechanisms to finance renewable energy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 876-885.
    35. Liu, Cengceng & Li, Nan & Zha, Donglan, 2016. "On the impact of FIT policies on renewable energy investment: Based on the solar power support policies in China's power market," Renewable Energy, Elsevier, vol. 94(C), pages 251-267.
    36. Cong, Rong-Gang, 2013. "An optimization model for renewable energy generation and its application in China: A perspective of maximum utilization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 94-103.
    37. Malik, Ihtisham Abdul & Siyal, Ghamz-e-Ali & Abdullah, Alias Bin & Alam, Arif & Zaman, Khalid & Kyophilavong, Phouphet & Shahbaz, Muhammad & Baloch, Siraj Ullah & Shams, Tauqeer, 2014. "Turn on the Lights: Macroeconomic Factors Affecting Renewable in Pakistan," MPRA Paper 56828, University Library of Munich, Germany, revised 23 Jun 2014.
    38. Tang, Weiqi & Wu, Libo & Zhang, ZhongXiang, 2010. "Oil price shocks and their short- and long-term effects on the Chinese economy," Energy Economics, Elsevier, vol. 32(Supplemen), pages 3-14, September.
    39. Ross, S.J. & McHenry, M.P. & Whale, J., 2012. "The impact of state feed-in tariffs and federal tradable quota support policies on grid-connected small wind turbine installed capacity in Australia," Renewable Energy, Elsevier, vol. 46(C), pages 141-147.
    40. Park, Sang Yong & Yun, Bo-Yeong & Yun, Chang Yeol & Lee, Duk Hee & Choi, Dong Gu, 2016. "An analysis of the optimum renewable energy portfolio using the bottom–up model: Focusing on the electricity generation sector in South Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 319-329.
    41. Menanteau, Philippe & Finon, Dominique & Lamy, Marie-Laure, 2003. "Prices versus quantities: choosing policies for promoting the development of renewable energy," Energy Policy, Elsevier, vol. 31(8), pages 799-812, June.
    42. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    43. Fattouh, Bassam, 2007. "The drivers of oil prices: the usefulness and limitations of non-structural models, supply-demand frameworks, and informal approaches," EIB Papers 6/2007, European Investment Bank, Economics Department.
    44. Dalla Valle, Alessandra & Furlan, Claudia, 2011. "Forecasting accuracy of wind power technology diffusion models across countries," International Journal of Forecasting, Elsevier, vol. 27(2), pages 592-601, April.
    45. Sadorsky, Perry, 2009. "Renewable energy consumption, CO2 emissions and oil prices in the G7 countries," Energy Economics, Elsevier, vol. 31(3), pages 456-462, May.
    46. Dalla Valle, Alessandra & Furlan, Claudia, 2011. "Forecasting accuracy of wind power technology diffusion models across countries," International Journal of Forecasting, Elsevier, vol. 27(2), pages 592-601.
    47. Ritzenhofen, Ingmar & Birge, John R. & Spinler, Stefan, 2016. "The structural impact of renewable portfolio standards and feed-in tariffs on electricity markets," European Journal of Operational Research, Elsevier, vol. 255(1), pages 224-242.
    48. Azadeh, A. & Babazadeh, R. & Asadzadeh, S.M., 2013. "Optimum estimation and forecasting of renewable energy consumption by artificial neural networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 605-612.
    49. Collantes, Gustavo O, 2007. "Incorporating stakeholders' perspectives into models of new technology diffusion: The case of fuel-cell vehicles," Institute of Transportation Studies, Working Paper Series qt9bm1w968, Institute of Transportation Studies, UC Davis.
    50. Richard Schmalensee, 2012. "Evaluating Policies to Increase Electricity Generation from Renewable Energy," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 6(1), pages 45-64.
    51. Lund, Peter, 2006. "Market penetration rates of new energy technologies," Energy Policy, Elsevier, vol. 34(17), pages 3317-3326, November.
    52. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.
    53. Chu, Wen-Lin & Wu, Feng-Shang & Kao, Kai-Sheng & Yen, David C., 2009. "Diffusion of mobile telephony: An empirical study in Taiwan," Telecommunications Policy, Elsevier, vol. 33(9), pages 506-520, October.
    54. Peres, Renana & Muller, Eitan & Mahajan, Vijay, 2010. "Innovation diffusion and new product growth models: A critical review and research directions," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 91-106.
    55. Nicholas Apergis & James E. Payne, 2014. "The causal dynamics between renewable energy, real GDP, emissions and oil prices: evidence from OECD countries," Applied Economics, Taylor & Francis Journals, vol. 46(36), pages 4519-4525, December.
    56. Sun, Peng & Nie, Pu-yan, 2015. "A comparative study of feed-in tariff and renewable portfolio standard policy in renewable energy industry," Renewable Energy, Elsevier, vol. 74(C), pages 255-262.
    57. Kydes, Andy S., 2007. "Impacts of a renewable portfolio generation standard on US energy markets," Energy Policy, Elsevier, vol. 35(2), pages 809-814, February.
    58. Kwon, Tae-hyeong, 2015. "Is the renewable portfolio standard an effective energy policy?: Early evidence from South Korea," Utilities Policy, Elsevier, vol. 36(C), pages 46-51.
    59. Dong, C.G., 2012. "Feed-in tariff vs. renewable portfolio standard: An empirical test of their relative effectiveness in promoting wind capacity development," Energy Policy, Elsevier, vol. 42(C), pages 476-485.
    60. Rao, K. Usha & Kishore, V.V.N., 2010. "A review of technology diffusion models with special reference to renewable energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1070-1078, April.
    61. Lin, Boqiang & Omoju, Oluwasola E. & Okonkwo, Jennifer U., 2016. "Factors influencing renewable electricity consumption in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 687-696.
    62. Kung, Harold H., 2012. "Impact of deployment of renewable portfolio standard on the electricity price in the State of Illinois and implications on policies," Energy Policy, Elsevier, vol. 44(C), pages 425-430.
    63. Wu, Feng-Shang & Chu, Wen-Lin, 2010. "Diffusion models of mobile telephony," Journal of Business Research, Elsevier, vol. 63(5), pages 497-501, May.
    64. Chang, Ting-Huan & Su, Hsin-Mei, 2010. "The substitutive effect of biofuels on fossil fuels in the lower and higher crude oil price periods," Energy, Elsevier, vol. 35(7), pages 2807-2813.
    65. Yoon, Jong-Han & Sim, Kwang-ho, 2015. "Why is South Korea's renewable energy policy failing? A qualitative evaluation," Energy Policy, Elsevier, vol. 86(C), pages 369-379.
    66. Sovacool, Benjamin K., 2010. "A comparative analysis of renewable electricity support mechanisms for Southeast Asia," Energy, Elsevier, vol. 35(4), pages 1779-1793.
    67. 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.
    68. Purohit, Pallav & Kandpal, Tara C., 2005. "Renewable energy technologies for irrigation water pumping in India: projected levels of dissemination, energy delivery and investment requirements using available diffusion models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 9(6), pages 592-607, December.
    69. Omri, Anis & Nguyen, Duc Khuong, 2014. "On the determinants of renewable energy consumption: International evidence," Energy, Elsevier, vol. 72(C), pages 554-560.
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    20. Barnea, Gil & Hagemann, Christian & Wurster, Stefan, 2022. "Policy instruments matter: Support schemes for renewable energy capacity in worldwide comparison," Energy Policy, Elsevier, vol. 168(C).

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