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ISSN : 2233-4165(Print)
ISSN : 2233-5382(Online)
Journal of Industrial Distribution & Business Vol.10 No.2 pp.7-15

The Influence of Industrial Structure Upgrading on Carbon Emission Efficiency in China

Luyan Song*
* College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China, Tel: +86-187-6168-6087, E-mail:
January 10, 2019. January 26, 2019. February 05, 2019.


Purpose - The industrial structure upgrading can play an important role in promoting the carbon emission efficiency. Thus, this paper attempts to study the impact of industrial structure upgrading on carbon emission efficiency in order to reduce carbon emissions.
Research design, data, and methodology - This paper selects panel data of 30 provinces and municipalities (autonomous regions) in China from 2001 to 2016, and divides them into three regions. The Moore index is used to measure the industrial structure upgrading, the non-radial SBM model based on undesired output is used to measure the slack variable to calculate the total factor carbon emission efficiency. Finally the impact of industrial structure upgrading on the carbon emission efficiency are analyzed.
Results - It is found that the Moore index and the carbon emission efficiency in the eastern region is the highest in the three regions.
Conclusions - The influence of various influencing factors on carbon emission efficiency is different between regions. The Moore index has a positive effect on the carbon emission efficiency in the eastern region, and has a negative influence coefficient on the central region. The effect on the western region is not obvious.

JEL Classification: L50, O13, R11






    1. Bye, B., Fæhn, T., & Rosnes, O. (2018). Residential energy efficiency policies: Costs, emissions and rebound effects. Energy, 143, 191-201.
    2. Cheng, X. Y., & Jiang, K. S. (2018). Study on Tourism Carbon Emissions and Distribution Efficiency of Tourism Economics. East Asian Journal of Business Management, 8(2), 15-22.
    3. Chang, K., Zhang, C., & Chang, H. (2016). Emission reduction allocation and economic welfare estimation through inter-regional emissions trading in China: Evidence from efficiency and equity. Energy, 113,1125-1135.
    4. Diana, H. A. (2018). The effects of dynamic industrial transition on sustainable development. Structural Change and Economic Dynamics, 44, 46-54.
    5. Iftikhar, Y., Wang, Z. H., & Zhang, B. (2018). Energy and CO2 emissions efficiency of major economics: A network DE Aapproach. Energy, 147, 197-207.
    6. Kaya, Y., & Yokobori, K. (1993). Global environment, energy, and economic development held at the United Stations University. Tokoy.
    7. Li, K., & Lin, B. Q. (2017). Economic growth model, structural transformation, and green productivity in China. Applied Energy, 187, 489-500.
    8. Md, Z. I., Zaima, A., Md, K. S., Syed, N. H., & Shamil, M. A. (2017). CO2 Emission, Energy Consumptionand Economic Development: A Case of Bangladesh. Journal of Asian Finance, Economics and Business, 4(4), 61-66.
    9. Román, C. R., & Morales, A. V. (2018). Towards a sustainable growth in Latin America: A multiregional spatial decomposition analysis of the driving forces behind CO2 emissions changes. Energy Policy, 115, 273-280.
    10. Shan, H. J. (2008). Re-estimation of China's capital stock K: 1952~2006. Quantitative economics and economics research, 10, 17-31.
    11. Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 3, 498-509.
    12. Tu, H., & Liu, C. J. (2014). Calculation of standard coal carbon dioxide emissions. Coal quality technology, 2, 57-60.
    13. Wu, C. Y., Huang, X. J., & Chuai, X. W. (2015). Analysis of Industrial Structure Adjustment and Carbon Emission Reduction Potential in Jiangsu Province Based on EIO-LCA. Journal of Chinese population, resources and environment, 4, 43-51.
    14. Wu, W. J., Wang, X. J., & He, Y. T. (2018). Research on the Influence of Industrial Structure Change on Total Factor Energy Efficiency. Ecological Economy, 4, 119-124.
    15. Wang, W. J., & Xiang, Q. F. (2014). China's industrial restructure adjustment and its assessment of energy saving and emission reduction potential. Journal of Chinese Industrial Economy, 1, 44-56.
    16. Yao, X. J., Yang, G. L., & Gao, C. (2016). Research on the Impact of Green Technology Progress on Total Factor Green Energy Efficiency. Science and technology management research, 22, 248-254.
    17. Zhang, J., Jiang, H. Q., & Liu, G. Y. (2018). A study on the contribution of industrial restructuring to reduction of carbon emissions in China during the five Five-Year Plan periods. Journal of Cleaner Production, 176, 629-635.
    18. Zhang, K. Y., Liao, M. Q., & Yang, J. (2017). Analysis of China's Industrial Structure Adjustment under the Background of Green Low Carbon. Journal of Chinese population, resources and environment, 3, 116-122.
    19. Zhou, M. L., & Ren, R. M. (2011). Advanced industrial structure and energy constraints. Journal of China Science and Technology Forum, 2, 105-111.
    20. Zheng, R., & Yang, G. L. (2017). Study on the Impact of Inter-temporal Evolution of Industrial Structure on New Urbanization Construction. Journal of Industrial Technology Economy, 6, 119-127.
    21. Zhang, X. D. (2014). Research on Industrial Structure Optimization under the Constraints of Growth, Employment and Emission Reduction Targets. Journal of Chinese population, resources and environment, 5, 57-65.
    22. Zhang, Y. J., Peng, Y. L., & Ma, C. Q. (2017). Can environmental innovation facilitate carbon emissions reduction? Evidence from China. Energy Policy, 100, 18-28.
    23. Zhang, Y. J., Sun, Y. F., & Huang, J. L. (2018). Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment. Energy Policy, 115, 119-130.
    24. Zhang, Y., & Pu, Y. J. (2015). Industrial Structure Change and Its Impact on Energy Intensity. Journal of Industrial Economic Research, 2, 15-67.