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The Shadow Prices of Carbon Emissions in China’s Planting Industry

Author

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  • Xiaoliang Guan

    (College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China
    Hubei Rural Development Research Center, Wuhan 430070, China)

  • Junbiao Zhang

    (College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China
    Hubei Rural Development Research Center, Wuhan 430070, China)

  • Xianrong Wu

    (Law and Business School, Wuhan Institute of Technology, Wuhan 430070, China)

  • Linlin Cheng

    (College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China
    Hubei Rural Development Research Center, Wuhan 430070, China)

Abstract

The shadow prices of carbon emissions are essential for assessing emission abatement costs and formulating environmental public policies. By adopting the directional distance function method, this paper studies the shadow prices of carbon emissions caused by three main emission sources from China’s planting industry for a panel of 30 provinces spanning the period 1997–2014. We find that there is considerable regional heterogeneity in the shadow prices, and, of the 30 provinces, 23 are characterized by decreasing trends while only seven are on the rise over time. This implies that there is inefficiency of resource allocation among provinces, and the capacity for abatement increases during the observed period. The results support the following recommendation: It might be worth attempting to bring agriculture in China into line with its emission rights trading scheme, not only to help motivate the reduction of emissions but also to improve resource allocation. Also, policymakers are required to enhance regional cooperation and facilitate carbon-reduction technology transfer, to improve the immaterial production factors’ contribution to planting industry growth.

Suggested Citation

  • Xiaoliang Guan & Junbiao Zhang & Xianrong Wu & Linlin Cheng, 2018. "The Shadow Prices of Carbon Emissions in China’s Planting Industry," Sustainability, MDPI, vol. 10(3), pages 1-12, March.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:3:p:753-:d:135478
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    1. Gale Boyd & George Tolley & Joseph Pang, 2002. "Plant Level Productivity, Efficiency, and Environmental Performance of the Container Glass Industry," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(1), pages 29-43, September.
    2. Atkinson, Scott E. & Dorfman, Jeffrey H., 2005. "Bayesian measurement of productivity and efficiency in the presence of undesirable outputs: crediting electric utilities for reducing air pollution," Journal of Econometrics, Elsevier, vol. 126(2), pages 445-468, June.
    3. 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.
    4. 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.
    5. 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.
    6. Zhou, P. & Zhou, X. & Fan, L.W., 2014. "On estimating shadow prices of undesirable outputs with efficiency models: A literature review," Applied Energy, Elsevier, vol. 130(C), pages 799-806.
    7. Murty, M.N. & Kumar, Surender, 2002. "Measuring the cost of environmentally sustainable industrial development in India: a distance function approach," Environment and Development Economics, Cambridge University Press, vol. 7(3), pages 467-486, July.
    8. Chen, Shiyi, 2013. "What is the potential impact of a taxation system reform on carbon abatement and industrial growth in China?," Economic Systems, Elsevier, vol. 37(3), pages 369-386.
    9. 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.
    10. Wei, Chu & Ni, Jinlan & Du, Limin, 2012. "Regional allocation of carbon dioxide abatement in China," China Economic Review, Elsevier, vol. 23(3), pages 552-565.
    11. Hailu, Atakelty & Veeman, Terrence S., 2000. "Environmentally Sensitive Productivity Analysis of the Canadian Pulp and Paper Industry, 1959-1994: An Input Distance Function Approach," Journal of Environmental Economics and Management, Elsevier, vol. 40(3), pages 251-274, November.
    12. 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.
    13. Ke Wang & Linan Che & Chunbo Ma & Yi-Ming Wei, 2017. "The Shadow Price of CO2 Emissions in China's Iron and Steel Industry," CEEP-BIT Working Papers 105, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    14. Mekaroonreung, Maethee & Johnson, Andrew L., 2012. "Estimating the shadow prices of SO2 and NOx for U.S. coal power plants: A convex nonparametric least squares approach," Energy Economics, Elsevier, vol. 34(3), pages 723-732.
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    Cited by:

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    6. Hai-Ying Gu & Qing-Mi Hu & Tian-Qiong Wang, 2019. "Payment for Rice Growers to Reduce Using N Fertilizer in the GHG Mitigation Program Driven by the Government: Evidence from Shanghai," Sustainability, MDPI, vol. 11(7), pages 1-17, April.

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