Analyzing public preferences and increasing acceptability for the Renewable Portfolio Standard in Korea

Energy Economics

Volumn 42, Issue , 2014, Pages 17-26

  Shin, Jungwoo ^a   Woo, JongRoul ^b   Huh, Sung Yoon ^b   Lee, Jongsu ^b   Jeong, Gicheol ^c  

^a The University of Texas at Austin   (United States)

^b Seoul National University   (South Korea)

^c Specialty Construction Center   (South Korea)

Author keywords

Conjoint analysis; Marginal willingness to pay; Mixed logit model; Renewable Portfolio Standard; Scenario analysis

Indexed keywords

CONJOINT ANALYSIS; MIXED LOGIT MODELS; RENEWABLE PORTFOLIO STANDARD; SCENARIO ANALYSIS; WILLINGNESS TO PAY;

CARBON DIOXIDE; CLIMATE CHANGE; ENERGY POLICY; MATHEMATICAL MODELS;

OUTAGES;

ALTERNATIVE ENERGY; ELECTRICITY GENERATION; ENERGY MARKET; ENERGY POLICY; HOUSEHOLD SURVEY; POLICY APPROACH; POLICY DEVELOPMENT; RENEWABLE RESOURCE; WILLINGNESS TO PAY;

KOREA;

EID: 84890420351     PISSN: 01409883     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eneco.2013.11.014     Document Type: Article

References (34)

1. Abdullah S., Jeanty P.W. Willingness to pay for renewable energy: evidence from a contingent valuation survey in Kenya. Renew. Sust. Energ. Rev. 2011, 15(6):2974-2983.
2. Bigerna S., Polinori P. Italian consumers' willingness to pay for renewable energy sources. USAEE-IAEE Working Paper, No. 11-094 2011.
3. Bollino C.A. The willingness to pay for renewable energy sources: the case of Italy with socio-demographic determinants. Energy J. 2009, 30(2):81-96.
4. Choi J.Y., Koh D., Lee J. Ex-ante simulation of mobile TV market based on consumers' preference data. Tech. Forcasting Soc. Chang. 2008, 75:1043-1053.
5. Choi J.Y., Shin J., Lee J. Strategic demand forecasts for the tablet PC market using the Bayesian mixed logit model and market share simulations. Behav. Inform. Technol. 2012, 1-14.
6. Enerdata Global energy statistical yearbook (Accessed: August 10, 2013). http://www.enerdata.net/.
7. Green P.E., Srinivasan V. Conjoint analysis in marketing: new developments with implications for research and practice. J. Mar. Sci. 1990, 54(4):3-19.
8. Haaijer R., Wedel M. Conjoint choice experiments: general characteristics and alternative model specification. Conjoint Measurement: Methods and Applications 2003, 371-412. Springer-Verlag, Berlin, Heidelberg. 3rd ed. A. Gustafsson, A. Herrmann, F. Huber (Eds.).
9. Kim J., Park J., Kim H., Heo E. Assessment of Korean customers' willingness to pay with RPS. Renew. Sust. Energ. Rev. 2012, 16(1):695-703.
10. Korea Electrotechnology Research Institute A study on the design and application of RPS system in Korea 2009, Ministry of Knowledge Economy, Seoul, (in Korean).
11. Korea Electrotechnology Research Institute Evaluation report of energy demand management 2011, Ministry of Knowledge Economy, Seoul, (in Korean).
12. Korea Energy Economics Institute Development and management of renewable energy demand forecasting model 2012, (in Korean).
13. Korea Energy Management Corporation Renewable energy white paper 2012, Ministry of Knowledge Economy, Seoul, (in Korean).
14. Korea Environment Institute Economic analysis of climate change in Korea 2008, Ministry Of Environment, Seoul, (in Korean).
15. Ku S.J., Yoo S.H. Willingness to pay for renewable energy investment in Korea: a choice experiment study. Renew. Sust. Energ. Rev. 2010, 14(8):2196-2201.
16. Kydes A.S. Impacts of a renewable portfolio generation standard on US energy markets. Energ Policy 2007, 35(2):809-814.
17. Lee J., Choi J.Y., Cho Y. A forecast simulation analysis of the next-generation DVD market based on consumer preference data. Int. J. Consum. Stud. 2011, 35(4):448-457.
18. Longo A., Markandya A., Petrucci M. The internalization of externalities in the production of electricity: willingness to pay for the attributes of a policy for renewable energy. Ecol. Econ. 2008, 67(1):140-152.
19. Louviere J.J., Woodworth G. Design and analysis of simulated consumer choice or allocation experiments: an approach based on aggregate data. J. Mark. Res. 1983, 20:350-367.
20. McFadden D. Conditional logit analysis of qualitative choice behavior. Frontiers of Econometrics 1974, 105-142. Academic Press, New York. P. Zarembka (Ed.).
21. Mitchell R.C., Carson R.T. Using surveys to value public goods: the contingent valuation method 1989, Resources for the Future, Washington, DC.
22. Nomura N., Akai M. Willingness to pay for green electricity in Japan as estimated through contingent valuation method. Appl. Energy 2004, 78(4):453-463.
23. Oppewal H., Timmermans H.J.P. A conjoint choice approach to model consumer choice of shopping centre. Quantitative geographical methods: applied in demography and urban planning research 1993, 121-139. SISWO, Amsterdam. W.F. Sleegers, A.L.J. Goethals (Eds.).
24. Palmer K., Burtraw D. Cost-effectiveness of renewable electricity policies. Eng. Econ. 2005, 27(6):873-894.
25. Roe B., Teisl M.F., Levy A., Russell M. US consumers' willingness to pay for green electricity. Energ Policy 2001, 29(11):917-925.
26. Samil PricewaterhouseCoopers Calculation of power rates on account of RPS implementation 2011, Ministry of Knowledge Economy, Seoul, (in Korean).
27. Savvanidou E., Zervas E., Tsagarakis K.P. Public acceptance of biofuels. Energ Policy 2010, 38(7):3482-3488.
28. Scarpa R., Willis K. Willingness-to-pay for renewable energy: primary and discretionary choice of British households' for micro-generation technologies. Eng. Econ. 2010, 32(1):129-136.
29. Stern N. The economics of climate change: the stern review 2007, Cambridge University Press, Cambridge.
30. Train K.E. Discrete choice methods with simulation 2003, Cambridge University Press, Cambridge.
31. Train K., Sonnier G. Mixed logit with bounded distributions of correlated partworths. Applications of Simulation Methods in Environmental and Resource Economics 2005, 117-134. Springer Netherlands, Netherlands.
32. Wiser R.H. Using contingent valuation to explore willingness to pay for renewable energy: a comparison of collective and voluntary payment vehicles. Ecol. Econ. 2007, 62(3):419-432.
33. Yoo S.H., Kwak S.Y. Willingness to pay for green electricity in Korea: a contingent valuation study. Energ Policy 2009, 37(12):5408-5416.
34. Zografakis N., Sifaki E., Pagalou M., Nikitaki G., Psarakis V., Tsagarakis K.P. Assessment of public acceptance and willingness to pay for renewable energy sources in Crete. Renew. Sust. Energ. Rev. 2010, 14(3):1088-1095.