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Assessment of government support for the household adoption of micro-generation systems in Korea

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  • Jeong, Gicheol

Abstract

This paper investigates how Korean government support affects household adoption of renewable energy-based micro-generation systems by analyzing household preferences in relation to the costs and benefits of system installation and different kinds of government support. The research adopts a discrete choice experiment approach and focuses on two micro-generation technologies: solar voltaic and solar thermal. Our empirical analysis revealed firstly that households prefer micro-generation systems that have low installation costs but high energy saving benefits and long warranty periods; and secondly that households prefer direct subsidies to low-interest loans. However, we also found that households are reluctant to install photovoltaic or solar thermal systems in reality because they see the cost of system installation as being higher than the benefits they would receive from such installation. In short, while existing government supports are somewhat effective in promoting household adoption of micro-generation systems, there also exists the obstacle that the majority of households are unwilling to install such systems despite government support. Thus several policy improvements, which focus on increasing the benefits and decreasing the installation costs of micro-generation systems, are suggested in this paper.

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  • Jeong, Gicheol, 2013. "Assessment of government support for the household adoption of micro-generation systems in Korea," Energy Policy, Elsevier, vol. 62(C), pages 573-581.
  • Handle: RePEc:eee:enepol:v:62:y:2013:i:c:p:573-581
    DOI: 10.1016/j.enpol.2013.07.015
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    1. Scarpa, Riccardo & Willis, Ken, 2010. "Willingness-to-pay for renewable energy: Primary and discretionary choice of British households' for micro-generation technologies," Energy Economics, Elsevier, vol. 32(1), pages 129-136, January.
    2. Hidrue, Michael K. & Parsons, George R. & Kempton, Willett & Gardner, Meryl P., 2011. "Willingness to pay for electric vehicles and their attributes," Resource and Energy Economics, Elsevier, vol. 33(3), pages 686-705, September.
    3. Oh, Si-Doek & Lee, Yeji & Yoo, Yungpil & Kim, Jinoh & Kim, Suyong & Song, Seung Jin & Kwak, Ho-Young, 2013. "A support strategy for the promotion of photovoltaic uses for residential houses in Korea," Energy Policy, Elsevier, vol. 53(C), pages 248-256.
    4. Ayoub, Nasser & Yuji, Naka, 2012. "Governmental intervention approaches to promote renewable energies—Special emphasis on Japanese feed-in tariff," Energy Policy, Elsevier, vol. 43(C), pages 191-201.
    5. Michelsen, Carl Christian & Madlener, Reinhard, 2012. "Homeowners' preferences for adopting innovative residential heating systems: A discrete choice analysis for Germany," Energy Economics, Elsevier, vol. 34(5), pages 1271-1283.
    6. Moosavian, S.M. & Rahim, N.A. & Selvaraj, J. & Solangi, K.H., 2013. "Energy policy to promote photovoltaic generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 44-58.
    7. Burns, John Edward & Kang, Jin-Su, 2012. "Comparative economic analysis of supporting policies for residential solar PV in the United States: Solar Renewable Energy Credit (SREC) potential," Energy Policy, Elsevier, vol. 44(C), pages 217-225.
    8. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D., 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, September.
    9. Hirschl, Bernd, 2009. "International renewable energy policy--between marginalization and initial approaches," Energy Policy, Elsevier, vol. 37(11), pages 4407-4416, November.
    10. Jun, Sooyoung & Lee, Seungmoon & Park, Jin-Won & Jeong, Suk-Jae & Shin, Ho-Chul, 2010. "The assessment of renewable energy planning on CO2 abatement in South Korea," Renewable Energy, Elsevier, vol. 35(2), pages 471-477.
    11. 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.
    12. Willis, Ken & Scarpa, Riccardo & Gilroy, Rose & Hamza, Neveen, 2011. "Renewable energy adoption in an ageing population: Heterogeneity in preferences for micro-generation technology adoption," Energy Policy, Elsevier, vol. 39(10), pages 6021-6029, October.
    13. Islam, Towhidul & Meade, Nigel, 2013. "The impact of attribute preferences on adoption timing: The case of photo-voltaic (PV) solar cells for household electricity generation," Energy Policy, Elsevier, vol. 55(C), pages 521-530.
    14. El Fadel, M. & Rachid, G. & El-Samra, R. & Bou Boutros, G. & Hashisho, J., 2013. "Emissions reduction and economic implications of renewable energy market penetration of power generation for residential consumption in the MENA region," Energy Policy, Elsevier, vol. 52(C), pages 618-627.
    15. Kitzing, Lena & Mitchell, Catherine & Morthorst, Poul Erik, 2012. "Renewable energy policies in Europe: Converging or diverging?," Energy Policy, Elsevier, vol. 51(C), pages 192-201.
    16. Liu, Tong & Xu, Gang & Cai, Peng & Tian, Longhu & Huang, Qili, 2011. "Development forecast of renewable energy power generation in China and its influence on the GHG control strategy of the country," Renewable Energy, Elsevier, vol. 36(4), pages 1284-1292.
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    2. Sara Ghaboulian Zare & Reza Hafezi & Mohammad Alipour & Reza Parsaei Tabar & Rodney A. Stewart, 2021. "Residential Solar Water Heater Adoption Behaviour: A Review of Economic and Technical Predictors and Their Correlation with the Adoption Decision," Energies, MDPI, vol. 14(20), pages 1-26, October.
    3. Spyridon Karytsas & Ioannis Vardopoulos & Eleni Theodoropoulou, 2019. "Factors Affecting Sustainable Market Acceptance of Residential Microgeneration Technologies. A Two Time Period Comparative Analysis," Energies, MDPI, vol. 12(17), pages 1-20, August.
    4. Dongnyok Shim & Seung Wan Kim & Jörn Altmann, 2018. "Strategic management of residential electric services in the competitive market: Demand-oriented perspective," Energy & Environment, , vol. 29(1), pages 49-66, February.
    5. Hassan, Md. Kamrul & Pelkonen, Paavo & Pappinen, Ari, 2014. "Rural households’ knowledge and perceptions of renewables with special attention on bioenergy resources development – Results from a field study in Bangladesh," Applied Energy, Elsevier, vol. 136(C), pages 454-464.
    6. Cohen, Jed J. & Azarova, Valeriya & Kollmann, Andrea & Reichl, Johannes, 2021. "Preferences for community renewable energy investments in Europe," Energy Economics, Elsevier, vol. 100(C).

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