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The Potential Gains from Carbon Emissions Trading in China’s Industrial Sectors

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Abstract

The command and control mechanism and the market trading mechanism have been adopted by Chinese government to reduce the industrial carbon emissions. Concerns have arisen over which policy is more effective and what are the potential gains from carbon emissions trading for industrial sectors. A Data Envelopment Analysis based linear programming technology is used to compare the industrial potential gains including both the economic potential gains and the environmental potential gains from the command and control and carbon emissions trading mechanisms. An empirical study containing the data set of 38 sub-industries in China from 2006–2014 is conducted. The empirical results show that the carbon emissions trading mechanism can produce more potential gains compared with the command and control mechanism, with an average of 69.6 and 92.0% economic potential gains and 49.1 and 21.0% environmental potential gains in terms of the overall level and industrial level, respectively. Additionally, the environmental potential gains of each sub-industry can provide theoretical support for the emission quotas allocation. Finally, several policy implications based on the empirical results are proposed.

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Notes

  1. Including raw coal, cleaned coal, other washed coal, coke, coke oven gas, other gas, crude oil, gasoline, kerosene, diesel oil, fuel oil, liquefied petroleum gas, refinery gas, and natural gas.

References

  • Cheng, C. P., & Zhang, X. (2011). A study on the construction of China’s carbon emissions trading system. Energy Procedia, 5, 1037–1043.

    Article  Google Scholar 

  • Chen, L., Zhang, B. Y., Hou, H. P., & Taudes, A. (2013). Impact of carbon trading market on small highway freight company: The case of China. Advances in Information Sciences and Service Sciences, 5, 188–195.

    Article  Google Scholar 

  • China’s carbon emissions trading website. (2015). http://www.tanpaifang.com/tanguwen/2015/0715/45823.html.

  • Choi, Y., Zhang, N., & Zhou, P. (2012). Efficiency and abatement costs of energy-related \(\text{ CO }_{2}\) emissions in China: A slacks-based efficiency measure. Applied Energy, 98, 198–208.

    Article  Google Scholar 

  • Cui, L. B., Fan, Y., Zhu, L., & Bi, Q. H. (2014). How will the emissions trading scheme save cost for achieving China’s 2020 carbon intensity reduction target. Applied Energy, 136, 1043–1052.

    Article  Google Scholar 

  • Färe, R., Grosskopf, S., & Pasurka, C. A. (2013). Tradable permits and unrealized gains from trade. Energy Economics, 40, 416–424.

    Article  Google Scholar 

  • Färe, R., Grosskopf, S., & Pasurka, C. A. (2014). Potential gains from trading bad outputs: The case of U.S. electric power plants. Resource and Energy Economic, 36, 99–112.

    Article  Google Scholar 

  • Han, R., Tang, B. J., Fan, J. L., Liu, L. C., & Wei, Y. M. (2016). Integrated weighting approach to carbon emission quotas: An application case of Beijing–Tanjin–Hebei region. Journal of Cleaner Production, 131, 448–459.

    Article  Google Scholar 

  • Huang, Y., Liu, L., Ma, X. M., & Pan, X. F. (2015). Abatement technology investment and emissions trading system: A case of coal-fired power industry of Shenzhen, China. Clean Technologies and Environmental Policy, 17, 811–817.

    Article  Google Scholar 

  • Lee, M., & Zhang, N. (2012). Technical efficiency, shadow price of carbon dioxide emissions, and substitutability for energy in the Chinese manufacturing industries. Energy Economics, 34, 1492–1497.

    Article  Google Scholar 

  • Liu, Y., Feng, S. H., Cai, S. F., Zhang, Y. X., Zhou, X., Chen, Y. B., et al. (2013). Carbon emission trading system of China: A linked market vs. separated markets. Frontiers of Earth Science, 7, 465–479.

    Article  Google Scholar 

  • Liu, Y., & Wei, T. Y. (2014). Linking the emissions trading schemes of Europe and China combining climate and energy policy instruments. Mitigation and Adaptation Strategies for Global Change, 21, 1–17.

    Google Scholar 

  • Porter, M. E., & Linde, C. V. D. (1995). Toward a new conception of the environment-competitiveness relationship. Journal of Economic Perspectives, 9, 97–118.

    Article  Google Scholar 

  • Qin, X. S., & Sun, C. H. (2014). The measurement of capital stock of China’s sub-industries. Review of Industrial Economics, 13, 54–72. (in Chinese) .

    Google Scholar 

  • Tang, L., Shi, J. R., & Bao, Q. (2016). Designing an emissions trading scheme for China with a dynamic computable general equilibrium model. Energy Policy, 97, 507–520.

    Article  Google Scholar 

  • Teng, F., Wang, X., & Zhiqing, L. V. (2014). Introducing the emissions trading system to China’s electricity sector: Challenges and opportunities. Energy Policy, 75, 39–45.

    Article  Google Scholar 

  • Wang, K., & Wei, Y. M. (2014). China’s regional industrial energy efficiency and carbon emissions abatement costs. Applied Energy, 130, 617–631.

    Article  Google Scholar 

  • Wang, K., Wei, Y. M., & Huang, Z. M. (2016). Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings. Omega, 63, 48–59.

    Article  Google Scholar 

  • Wang, P., Dai, H. C., Ren, S. Y., Zhao, D. Q., & Masui, T. (2015). Achieving Copenhagen target through carbon emission trading: Economic impacts assessment in Guangdong Province of China. Energy, 79, 212–227.

    Article  Google Scholar 

  • Wu, L. B., & Tang, W. Q. (2015). Efficiency or equity? Simulating the carbon emission permits trading schemes in China based on an inter-regional CGE model. In CCEP Working Paper.

  • Yu, S. W., Agbemabiese, L., & Zhang, J. J. (2016). Estimating the carbon abatement potential of economic sectors in China. Applied Energy, 165, 107–118.

    Article  Google Scholar 

  • Zhang, C., Wang, Q. W., Shi, D., Li, P. F., & Cai, W. H. (2016a). Scenario-based potential effects of carbon trading in China: An integrated approach. Applied Energy, 182, 177–190.

    Article  Google Scholar 

  • Zhang, D., Karplus, V. J., Cassisa, C., & Zhang, X. (2014). Emissions trading in China: Progress and prospects. Energy Policy, 75, 9–16.

    Article  Google Scholar 

  • Zhang, N., & Chen, Z. (2017). Sustainability characteristics of China’s Poyang Lake ecoeconomics zone in the big data environment. Journal of Cleaner Production, 142, 642–653.

    Article  Google Scholar 

  • Zhang, N., Kong, F. B., & Kung, C. C. (2015). On modeling environmental production characteristics: A slacks-based measure for China’s Poyang Lake ecological economics zone. Computational Economics, 46, 389–404.

    Article  Google Scholar 

  • Zhang, N., Wang, B., & Chen, Z. (2016c). Carbon emission reductions and technology gaps in the world’s factory 1990–2012. Energy Policy, 91, 28–37.

    Article  Google Scholar 

  • Zhang, N., Wang, B., & Liu, Z. (2016d). Carbon emissions dynamics, efficiency gains, and technological innovation in China’s industrial sectors. Energy, 99, 10–19.

    Article  Google Scholar 

  • Zhang, X., Qi, T. Y., Ou, X. M., & Zhang, X. L. (2017). The role of muti-region integrated emissions trading scheme: A computable general equilibrium analysis. Applied Energy, 185, 1860–1868.

    Article  Google Scholar 

  • Zhang, Y. J., Hao, J. F., & Song, J. (2016b). The \(\text{ CO }_{2}\) emission efficiency, reduction potential and spatial clustering in China’s industry: Evidence from the regional level. Applied Energy, 174, 213–223.

    Article  Google Scholar 

  • Zhou, P., Zhang, L., Zhou, D. Q., & Xia, W. J. (2013). Modeling economic performance of interprovincial \(\text{ CO }_{2}\) emission reduction quota trading in China. Applied Energy, 112, 1518–1528.

    Article  Google Scholar 

  • Zhu, Y., Li, Y. P., & Huang, G. H. (2013). Planning carbon emission trading for Beijing’s electric power systems under dual uncertainties. Renewable and Sustainable Energy Reviews, 23, 113–128.

    Article  Google Scholar 

Download references

Acknowledgements

We thank the financial support provided by the National Natural Science Foundation of China (41461118, 71603102), National Key R&D Program of China (2016YFA0602500), National Social Science Foundation of China (15ZDA054) and Research Center on Low-carbon Economy for Guangzhou Region.

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Correspondence to Ning Zhang.

Appendix

Appendix

The Cement and the Building Materials belong to the Manufacture of Non-metallic Mineral Products (N23). The Iron and Steel and the Electrolytic Aluminum belong to the Smelting and Pressing of Ferrous Metals (N24). In sum, the 10 sub-industries are N23 and N24, together with the Production and Distribution of Electric Power and Heat Power (N33), the Processing of Petroleum, Coking, Processing of Nuclear Fuel (N18), the Manufacture of Raw Chemical Materials and Chemical Products (N19), the Smelting and Pressing of Non-Ferrous Metals (N25), the Manufacture of Paper and Paper Products (N15), the Manufacture of Textiles (N10), the Manufacture of Rubber and Plastic Products (N22) and the Manufacture of Chemical Fibers (N21) (Tables 4 and 5).

Table 4 38 sub-industries and IDs
Table 5 Relevant pilot sub-industries in carbon emissions trading pilots

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Yu, Y., Zhang, W. & Zhang, N. The Potential Gains from Carbon Emissions Trading in China’s Industrial Sectors. Comput Econ 52, 1175–1194 (2018). https://doi.org/10.1007/s10614-017-9724-2

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