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Regional Differences in Willingness to Pay for Mitigation of Air Pollution from Coal-Fired Power Plants in South Korea

Author

Listed:
  • Dmitriy Li

    (Department of Economics, Chonnam National University, Gwangju 61186, Republic of Korea)

  • Meenakshi Rishi

    (Department of Economics, Seattle University, Seattle, WA 98122, USA)

  • Jeong Hwan Bae

    (Department of Economics, Chonnam National University, Gwangju 61186, Republic of Korea)

Abstract

This study examined whether people who reside in different regions of South Korea exhibit different WTP for the mitigation of PM2.5 emissions from coal-fired power plants by restricting their operation during the winter and spring when air pollution becomes severe. The eastern portions of the country are relatively insulated from the harmful effects of PM2.5 emissions due to northwest winds which cause air pollutants generated from coal-fired power plants to be carried out to the East Sea (Sea of Japan). Consequently, our sample group was divided into central, western, eastern, and southern regions, and a contingent valuation method, combined with a double-bounded dichotomous choice, was used to derive people’s WTP for the mitigation of PM2.5 emissions. Our estimation results indicated that respondents who live in eastern regions showed a significantly lower WTP (about KRW 1280/month) than the mean WTP of other regions (above KRW 1337/month). Thus, we suggest that the current Seasonal Management System of PM2.5 emissions should be modified to consider regional differences. Statistical results from this study reinforce our suggestions—almost 78 percent of survey respondents support a revision of the current SMS policy and are in favor of a revised SMS policy—one that exempts eastern regions from a nationwide shutdown of coal-fired generation from December to March. Exempting coal-fired power plants in eastern regions from the Seasonal Management System might result in significant fiscal savings without a corresponding increase in nationwide PM2.5 concentrations.

Suggested Citation

  • Dmitriy Li & Meenakshi Rishi & Jeong Hwan Bae, 2023. "Regional Differences in Willingness to Pay for Mitigation of Air Pollution from Coal-Fired Power Plants in South Korea," Sustainability, MDPI, vol. 15(24), pages 1-17, December.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:24:p:16713-:d:1297495
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    References listed on IDEAS

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    1. Hu, Wuyang, 2006. "Use of Spike Models in Measuring Consumers' Willingness to Pay for Non-GM Oil," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 38(3), pages 1-14, December.
    2. Richard C. Ready & Jean C. Buzby & Dayuan Hu, 1996. "Differences between Continuous and Discrete Contingent Value Estimates," Land Economics, University of Wisconsin Press, vol. 72(3), pages 397-411.
    3. Michael Hanemann & John Loomis & Barbara Kanninen, 1991. "Statistical Efficiency of Double-Bounded Dichotomous Choice Contingent Valuation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(4), pages 1255-1263.
    4. Barbara J. Kanninen, 1993. "Optimal Experimental Design for Double-Bounded Dichotomous Choice Contingent Valuation," Land Economics, University of Wisconsin Press, vol. 69(2), pages 138-146.
    5. Joseph C. Cooper & Michael Hanemann & Giovanni Signorello, 2002. "One-and-One-Half-Bound Dichotomous Choice Contingent Valuation," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 742-750, November.
    6. Pinuccia Calia & Elisabetta Strazzera, 2000. "Bias and efficiency of single versus double bound models for contingent valuation studies: a Monte Carlo analysis," Applied Economics, Taylor & Francis Journals, vol. 32(10), pages 1329-1336.
    7. Jayson L. Lusk & Darren Hudson, 2004. "Willingness-to-Pay Estimates and Their Relevance to Agribusiness Decision Making," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 26(2), pages 152-169.
    8. Bishop, Richard C. & Heberlein, Thomas A., 1979. "Measuring Values Of Extramarket Goods: Are Indirect Measures Biased?," 1979 Annual Meeting, July 29-August 1, Pullman, Washington 277818, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Wang, Hua & He, Jie & Huang, Desheng, 2020. "Public distrust and valuation biases: Identification and calibration with contingent valuation studies of two air quality improvement programs in China," China Economic Review, Elsevier, vol. 61(C).
    10. Richard C. Bishop & Thomas A. Heberlein, 1979. "Measuring Values of Extramarket Goods: Are Indirect Measures Biased?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(5), pages 926-930.
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