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Measuring technical inefficiency and CO2 shadow price of Korean fossil-fuel generation companies using deterministic and stochastic approaches

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  • Dong-Hyun Oh
  • JongWuk Ahn
  • Sinwoo Lee
  • Hyundo Choi

Abstract

This paper measures the technical inefficiency and the shadow price of Korean fossil-fuel generation companies (GENCOs) between 2001 and 2016 at the firm-level. To obtain robust empirical results, this study employs both commonly used deterministic and stochastic estimation methods. The empirical results are as follows: the inefficiency estimates are approximately 0.09 (deterministic) and 0.08 (stochastic); the estimates of CO 2 shadow price, in KRW/tCO 2 , are 82,758 (deterministic) and 49,830 (stochastic), which shows high volatility in the annual average shadow price. In addition, we find that the results of the deterministic method without any random errors show a large variation in the trends of technical inefficiency and shadow price, while the stochastic method with random errors yields only moderate volatility. Our empirical results are expected to assist policymakers in determining how much potential mitigation can be achieved through improved efficiency, and the range of the CO 2 shadow price will contribute to more efficient policy tools.

Suggested Citation

  • Dong-Hyun Oh & JongWuk Ahn & Sinwoo Lee & Hyundo Choi, 2021. "Measuring technical inefficiency and CO2 shadow price of Korean fossil-fuel generation companies using deterministic and stochastic approaches," Energy & Environment, , vol. 32(3), pages 403-423, May.
    • Handle: RePEc:sae:engenv:v:32:y:2021:i:3:p:403-423
    DOI: 10.1177/0958305X20932547
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    1. Tengfei Huo & Hong Ren & Weiguang Cai & Wei Feng & Miaohan Tang & Nan Zhou, 2018. "The total-factor energy productivity growth of China’s construction industry: evidence from the regional level," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1593-1616, July.
    2. Matsushita, Kyohei & Yamane, Fumihiro, 2012. "Pollution from the electric power sector in Japan and efficient pollution reduction," Energy Economics, Elsevier, vol. 34(4), pages 1124-1130.
    3. Choi, Yongrok & Zhang, Ning & Zhou, P., 2012. "Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure," Applied Energy, Elsevier, vol. 98(C), pages 198-208.
    4. Coggins, Jay S. & Swinton, John R., 1996. "The Price of Pollution: A Dual Approach to Valuing SO2Allowances," Journal of Environmental Economics and Management, Elsevier, vol. 30(1), pages 58-72, January.
    5. Rezek, Jon P. & Campbell, Randall C., 2007. "Cost estimates for multiple pollutants: A maximum entropy approach," Energy Economics, Elsevier, vol. 29(3), pages 503-519, May.
    6. Zhou, X. & Fan, L.W. & Zhou, P., 2015. "Marginal CO2 abatement costs: Findings from alternative shadow price estimates for Shanghai industrial sectors," Energy Policy, Elsevier, vol. 77(C), pages 109-117.
    7. R. H. Coase, 2013. "The Problem of Social Cost," Journal of Law and Economics, University of Chicago Press, vol. 56(4), pages 837-877.
    8. M. Murty & Surender Kumar & Kishore Dhavala, 2007. "Measuring environmental efficiency of industry: a case study of thermal power generation in India," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 38(1), pages 31-50, September.
    9. Song, Junmo & Oh, Dong-hyun & Kang, Jiwon, 2017. "Robust estimation in stochastic frontier models," Computational Statistics & Data Analysis, Elsevier, vol. 105(C), pages 243-267.
    10. Léopold Simar, 2003. "Detecting Outliers in Frontier Models: A Simple Approach," Journal of Productivity Analysis, Springer, vol. 20(3), pages 391-424, November.
    11. Myunghun Lee, 2019. "Allocative efficiency, potential cost savings, and power supply price markdown in Korean electric power sector," Energy & Environment, , vol. 30(4), pages 617-628, June.
    12. Ching-Cheng Lu & Liang-Chun Lu, 2019. "Evaluating the energy efficiency of European Union countries: The dynamic data envelopment analysis," Energy & Environment, , vol. 30(1), pages 27-43, February.
    13. Choi, Hyundo & Oh, Inha, 2010. "Analysis of product efficiency of hybrid vehicles and promotion policies," Energy Policy, Elsevier, vol. 38(5), pages 2262-2271, May.
    14. John R. Swinton, 1998. "At What Cost do We Reduce Pollution? Shadow Prices of SO2 Emissions," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 63-83.
    15. Park, Hojeong & Lim, Jaekyu, 2009. "Valuation of marginal CO2 abatement options for electric power plants in Korea," Energy Policy, Elsevier, vol. 37(5), pages 1834-1841, May.
    16. Ji, D.J. & Zhou, P., 2020. "Marginal abatement cost, air pollution and economic growth: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 86(C).
    17. Manish Gupta, 2006. "Costs of Reducing Greenhouse Gas Emissions: A Case Study of India’s Power Generation Sector," Working Papers 2006.147, Fondazione Eni Enrico Mattei.
    18. Kwon, Oh Sang & Yun, Won-Cheol, 1999. "Estimation of the marginal abatement costs of airborne pollutants in Korea's power generation sector," Energy Economics, Elsevier, vol. 21(6), pages 545-558, December.
    19. David Maradan & Anatoli Vassiliev, 2005. "Marginal Costs of Carbon Dioxide Abatement: Empirical Evidence from Cross-Country Analysis," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 141(III), pages 377-410, September.
    20. Lee, Myunghun & Zhang, Ning, 2012. "Technical efficiency, shadow price of carbon dioxide emissions, and substitutability for energy in the Chinese manufacturing industries," Energy Economics, Elsevier, vol. 34(5), pages 1492-1497.
    21. R. G. Chambers & Y. Chung & R. Färe, 1998. "Profit, Directional Distance Functions, and Nerlovian Efficiency," Journal of Optimization Theory and Applications, Springer, vol. 98(2), pages 351-364, August.
    22. Fare, Rolf & Grosskopf, Shawna & Noh, Dong-Woon & Weber, William, 2005. "Characteristics of a polluting technology: theory and practice," Journal of Econometrics, Elsevier, vol. 126(2), pages 469-492, June.
    23. Gupta, Manish, 2006. "Costs of Reducing Greenhouse Gas Emissions: A Case Study of India's Power Generation Sector," Climate Change Modelling and Policy Working Papers 12038, Fondazione Eni Enrico Mattei (FEEM).
    24. Lee, Sang-choon & Oh, Dong-hyun & Lee, Jeong-dong, 2014. "A new approach to measuring shadow price: Reconciling engineering and economic perspectives," Energy Economics, Elsevier, vol. 46(C), pages 66-77.
    25. Lee, Chia-Yen & Zhou, Peng, 2015. "Directional shadow price estimation of CO2, SO2 and NOx in the United States coal power industry 1990–2010," Energy Economics, Elsevier, vol. 51(C), pages 493-502.
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