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Reducing CO 2 emissions of Japanese thermal power companies: a directional output distance function approach

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  • Kyohei Matsushita
  • Kota Asano

Abstract

This article examines the thermal power generation efficiency of ten Japanese electric power companies and the shadow prices of carbon dioxide (CO 2 ) by employing a directional output distance function (DODF) with panel data for 1990–2011. We find that the shadow price of CO 2 varies greatly between US$1.49 and US$288.82, depending on the company’s production strategy concerning energy supply and CO 2 emissions. These shadow prices give us clues to understand how the electric power companies may respond to environmental regulations, such as environmental tax and emission trading systems. According to the DODF, an additional 53571 GWh of electricity could have been generated in 2011 at the cost of an increase of 40105 thousand tonnes of CO 2 , if the companies would have operated efficiently giving little consideration to CO 2 emissions reduction. These increases are equivalent to 8.77 and 9.18 % of total electricity and CO 2 emissions, respectively, from the ten electric power companies in 2011. On the other hand, if the companies would have operated efficiently and given first priority to CO 2 emissions reduction, a further 58002 thousand tonnes of CO 2 , equivalent to 13.28 % of their total CO 2 emissions in 2011, could have been reduced as a whole. Copyright Springer Japan 2014

Suggested Citation

  • Kyohei Matsushita & Kota Asano, 2014. "Reducing CO 2 emissions of Japanese thermal power companies: a directional output distance function approach," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 16(1), pages 1-19, January.
  • Handle: RePEc:spr:envpol:v:16:y:2014:i:1:p:1-19
    DOI: 10.1007/s10018-013-0067-5
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    References listed on IDEAS

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    1. 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.
    2. Jaraitė, Jūratė & Di Maria, Corrado, 2012. "Efficiency, productivity and environmental policy: A case study of power generation in the EU," Energy Economics, Elsevier, vol. 34(5), pages 1557-1568.
    3. Makiko Nakano & Shunsuke Managi, 2010. "Productivity Analysis With Co2 Emissions In Japan," Pacific Economic Review, Wiley Blackwell, vol. 15(5), pages 708-718, December.
    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. Rolf Färe & Carlos Martins-Filho & Michael Vardanyan, 2010. "On functional form representation of multi-output production technologies," Journal of Productivity Analysis, Springer, vol. 33(2), pages 81-96, April.
    6. 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.
    7. Nakano, Makiko & Managi, Shunsuke, 2008. "Regulatory reforms and productivity: An empirical analysis of the Japanese electricity industry," Energy Policy, Elsevier, vol. 36(1), pages 201-209, January.
    8. Hidemichi Fujii & Kazuyuki Iwata & Shinji Kaneko & Shunsuke Managi, 2013. "Corporate Environmental and Economic Performance of Japanese Manufacturing Firms: Empirical Study for Sustainable Development," Business Strategy and the Environment, Wiley Blackwell, vol. 22(3), pages 187-201, March.
    9. Wang, Qunwei & Zhou, Peng & Zhou, Dequn, 2012. "Efficiency measurement with carbon dioxide emissions: The case of China," Applied Energy, Elsevier, vol. 90(1), pages 161-166.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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).
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    Cited by:

    1. Surender Kumar & Rakesh Kumar Jain, 2021. "Cost of CO2 emission mitigation and its decomposition: evidence from coal-fired thermal power sector in India," Empirical Economics, Springer, vol. 61(2), pages 693-717, August.
    2. Molinos-Senante, María & Hanley, Nick & Sala-Garrido, Ramón, 2015. "Measuring the CO2 shadow price for wastewater treatment: A directional distance function approach," Applied Energy, Elsevier, vol. 144(C), pages 241-249.
    3. Wei, Xiao & Zhang, Ning, 2020. "The shadow prices of CO2 and SO2 for Chinese Coal-fired Power Plants: A partial frontier approach," Energy Economics, Elsevier, vol. 85(C).
    4. Rakesh Kumar Jain & Surender Kumar, 2018. "Shadow price of CO2 emissions in Indian thermal power sector," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(4), pages 879-902, October.
    5. Toshiyuki Sueyoshi & Youngbok Ryu & Mika Goto, 2020. "Operational Performance of Electric Power Firms: Comparison between Japan and South Korea by Non-Radial Measures," Energies, MDPI, vol. 13(15), pages 1-23, August.
    6. Zhang, Ning & Huang, Xuhui & Liu, Yunxiao, 2021. "The cost of low-carbon transition for China's coal-fired power plants: A quantile frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 169(C).

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    More about this item

    Keywords

    Directional output distance function; Japan; Efficiency of thermal power generation; Shadow price of CO 2 ; D20; Q40; Q54;
    All these keywords.

    JEL classification:

    • D20 - Microeconomics - - Production and Organizations - - - General
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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