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Decomposition of productivity considering multi-environmental pollutants in Chinese industrial sector

Author

Listed:
  • Hidemichi Fujii

    (Graduate School of Fisheries Science and Environmental Studies, Nagasaki University)

  • Jing Cao

    (Tsinghua University)

  • Shunsuke Managi

    (Graduate School of Environmental Studies, Tohoku University)

Abstract

The objective of this study is to calculate and decompose productivity incorporating multi-environmental pollutants in Chinese industrial sectors from 1992 to 2008. We apply a weighted Russell directional distance model to calculate productivity from both the economic and environmental performance. Main findings are, 1) Chinese industrial sectors increased productivity, with the main contributing factors being labor saving prior to 2000. 2) The main contributing factors for productivity growth in coastal areas include both economic and environmental performance improvement. While central and west regions improved productivity due to economic development, they have a trade-off relationship between economic and environmental performance.

Suggested Citation

  • Hidemichi Fujii & Jing Cao & Shunsuke Managi, 2014. "Decomposition of productivity considering multi-environmental pollutants in Chinese industrial sector," Working Papers SDES-2014-9, Kochi University of Technology, School of Economics and Management, revised Oct 2014.
    • Handle: RePEc:kch:wpaper:sdes-2014-9
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    References listed on IDEAS

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    Cited by:

    1. Yongyi Cheng & Liheng Lu & Tianyuan Shao & Manhong Shen & Laiqun Jin, 2018. "Decomposition Analysis of Factors Affecting Changes in Industrial Wastewater Emission Intensity in China: Based on a SSBM-GMI Approach," IJERPH, MDPI, vol. 15(12), pages 1-23, December.
    2. Huijuan Cao & Hidemichi Fujii & Shunsuke Managi, 2015. "A productivity analysis considering environmental pollution and diseases in China," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-19, December.
    3. You, Jianmin & Zhang, Wei, 2022. "How heterogeneous technological progress promotes industrial structure upgrading and industrial carbon efficiency? Evidence from China's industries," Energy, Elsevier, vol. 247(C).
    4. José Antonio Palomero-González & Vicent Almenar-Llongo & Ramón Fuentes-Pascual, 2021. "Evaluating the Efficiency of Water Distribution Network Sectors Using the DEA-Weight Russell Directional Distance Model: The Case of the City of Valencia (Spain)," Sustainability, MDPI, vol. 13(19), pages 1-21, September.
    5. María Molinos-Senante & Ramon Sala-Garrido, 2017. "Decomposition of Productivity Growth of Water and Sewerage Companies: An Empirical Approach for Chile," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(13), pages 4309-4321, October.
    6. Chen, Dengke & Chen, Shiyi & Jin, Hao & Lu, Yulin, 2020. "The impact of energy regulation on energy intensity and energy structure: Firm-level evidence from China," China Economic Review, Elsevier, vol. 59(C).
    7. Zhou, Tao & Huang, Xuhui & Zhang, Ning, 2023. "The effect of innovation pilot on carbon total factor productivity: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 125(C).
    8. Shunsuke Managi & George Halkos, 2015. "Production analysis in environmental, resource, and infrastructure evaluation," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-4, December.
    9. Clarence Tolliver & Hidemichi Fujii & Alexander Ryota Keeley & Shunsuke Managi, 2021. "Green Innovation and Finance in Asia," Asian Economic Policy Review, Japan Center for Economic Research, vol. 16(1), pages 67-87, January.
    10. Shixiong Cheng & Jiahui Xie & De Xiao & Yun Zhang, 2019. "Measuring the Environmental Efficiency and Technology Gap of PM 2.5 in China’s Ten City Groups: An Empirical Analysis Using the EBM Meta-Frontier Model," IJERPH, MDPI, vol. 16(4), pages 1-22, February.
    11. Hidemichi Fujii & Shunsuke Managi & Roman Matousek & Aarti Rughoo, 2018. "Bank efficiency, productivity, and convergence in EU countries: a weighted Russell directional distance model," The European Journal of Finance, Taylor & Francis Journals, vol. 24(2), pages 135-156, January.
    12. Liu, Guangtian & Wang, Bing & Zhang, Ning, 2016. "A coin has two sides: Which one is driving China’s green TFP growth?," Economic Systems, Elsevier, vol. 40(3), pages 481-498.
    13. Zaiwu Gong & Xiaoqing Chen, 2017. "Analysis of Interval Data Envelopment Efficiency Model Considering Different Distribution Characteristics—Based on Environmental Performance Evaluation of the Manufacturing Industry," Sustainability, MDPI, vol. 9(12), pages 1-25, November.
    14. Xiaobo Shen & Boqiang Lin, 2017. "Total Factor Energy Efficiency of China’s Industrial Sector: A Stochastic Frontier Analysis," Sustainability, MDPI, vol. 9(4), pages 1-17, April.
    15. Sheng, Pengfei & Li, Jun & Zhai, Mengxin & Huang, Shoujun, 2020. "Coupling of economic growth and reduction in carbon emissions at the efficiency level: Evidence from China," Energy, Elsevier, vol. 213(C).
    16. Yang, Zhenbing & Fan, Meiting & Shao, Shuai & Yang, Lili, 2017. "Does carbon intensity constraint policy improve industrial green production performance in China? A quasi-DID analysis," Energy Economics, Elsevier, vol. 68(C), pages 271-282.
    17. Zuoxiang Zhao, 2017. "Measurement of production efficiency and environmental efficiency in China’s province-level: a by-production approach," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(4), pages 735-759, October.

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    More about this item

    JEL classification:

    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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