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Measuring the Performance of Industrial Green Development Using a Non-Radial Directional Distance Function Approach: A Case Study of Jiangxi Province in China

Author

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  • Wei Wang

    (Institute of Ecological Civilization, Jiangxi University of Finance and Economics, Nanchang 330013, China)

  • Hualin Xie

    (Institute of Ecological Civilization, Jiangxi University of Finance and Economics, Nanchang 330013, China)

  • Fucai Lu

    (Institute of Ecological Civilization, Jiangxi University of Finance and Economics, Nanchang 330013, China)

  • Xinmin Zhang

    (Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba 305-8572, Japan)

Abstract

The industrial sector is a major contributor to resource consumption and environmental pollution in China. The energy-intensive industrial development and energy structure are dominated by coal, which has produced an enormous amount of industrial pollutants in China, and put great pressure on the ecological environment. Hence, improving the performance of industrial green development (PIGD) has become an urgent task of utmost importance. This study applies a global non-radial directional distance function to estimate the PIGD for Jiangxi Province during 2003–2015, and provides targeted policy suggestions. The empirical results show a rising trend in the PIGD in Jiangxi Province. At the city level, Nanchang and Fuzhou performed considerably better than other cities in regards to their PIGD. However, the poor environmental performance caused by the excessive discharge of industrial pollutants has also hindered its PIGD. Most cities in Jiangxi Province failed to efficiently use resources, especially energy and labor, in industrial production. The results of the influencing factor analysis show that the performance of industrial green development in Jiangxi could be improved through increasing per capita GDP, decreasing the share of coal consumption in the total industrial energy consumption, and decreasing the share of industrial GDP in the total GDP. Furthermore, a more efficient use of environmental management investment funds and timely transfer of the surplus industrial labor are needed.

Suggested Citation

  • Wei Wang & Hualin Xie & Fucai Lu & Xinmin Zhang, 2017. "Measuring the Performance of Industrial Green Development Using a Non-Radial Directional Distance Function Approach: A Case Study of Jiangxi Province in China," Sustainability, MDPI, vol. 9(10), pages 1-17, September.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:10:p:1757-:d:113589
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    as
    1. Cai, Xiqian & Lu, Yi & Wu, Mingqin & Yu, Linhui, 2016. "Does environmental regulation drive away inbound foreign direct investment? Evidence from a quasi-natural experiment in China," Journal of Development Economics, Elsevier, vol. 123(C), pages 73-85.
    2. Yu, Shiwei & Wei, Yi-ming, 2012. "Prediction of China's coal production-environmental pollution based on a hybrid genetic algorithm-system dynamics model," Energy Policy, Elsevier, vol. 42(C), pages 521-529.
    3. Krivonozhko, Vladimir E. & Førsund, Finn R. & Lychev, Andrey V., 2014. "Measurement of returns to scale using non-radial DEA models," European Journal of Operational Research, Elsevier, vol. 232(3), pages 664-670.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    6. Cheng, Jinhua & Dai, Sheng & Ye, Xinyue, 2016. "Spatiotemporal heterogeneity of industrial pollution in China," China Economic Review, Elsevier, vol. 40(C), pages 179-191.
    7. Hualin Xie & Wei Wang, 2015. "Exploring the Spatial-Temporal Disparities of Urban Land Use Economic Efficiency in China and Its Influencing Factors under Environmental Constraints Based on a Sequential Slacks-Based Model," Sustainability, MDPI, vol. 7(8), pages 1-20, July.
    8. Andreano, M. Simona & Laureti, Lucio & Postiglione, Paolo, 2013. "Economic growth in MENA countries: Is there convergence of per-capita GDPs?," Journal of Policy Modeling, Elsevier, vol. 35(4), pages 669-683.
    9. Ederer, Nikolaus, 2015. "Evaluating capital and operating cost efficiency of offshore wind farms: A DEA approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1034-1046.
    10. Jing Lan & Makoto Kakinaka & Xianguo Huang, 2012. "Foreign Direct Investment, Human Capital and Environmental Pollution in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 51(2), pages 255-275, February.
    11. Xie, Hualin & Yu, Yanni & Wang, Wei & Liu, Yanchu, 2017. "The substitutability of non-fossil energy, potential carbon emission reduction and energy shadow prices in China," Energy Policy, Elsevier, vol. 107(C), pages 63-71.
    12. Wu, Chiu-Hui & Ding, Cherng G. & Jane, Ten-Der & Lin, Hang-Rung & Wu, Cheng-Ying, 2015. "Lessons from the global financial crisis for the semiconductor industry," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 47-53.
    13. Wei Wang & Hualin Xie & Tong Jiang & Daobei Zhang & Xue Xie, 2016. "Measuring the Total-Factor Carbon Emission Performance of Industrial Land Use in China Based on the Global Directional Distance Function and Non-Radial Luenberger Productivity Index," Sustainability, MDPI, vol. 8(4), pages 1-19, April.
    14. Qingyun Du & Yanxia Wang & Fu Ren & Zhiyuan Zhao & Hongqiang Liu & Chao Wu & Langjiao Li & Yiran Shen, 2014. "Measuring and Analysis of Urban Competitiveness of Chinese Provincial Capitals in 2010 under the Constraints of Major Function-Oriented Zoning Utilizing Spatial Analysis," Sustainability, MDPI, vol. 6(6), pages 1-26, May.
    15. Zhou, Peng & Poh, Kim Leng & Ang, Beng Wah, 2007. "A non-radial DEA approach to measuring environmental performance," European Journal of Operational Research, Elsevier, vol. 178(1), pages 1-9, April.
    16. Albrizio, Silvia & Kozluk, Tomasz & Zipperer, Vera, 2017. "Environmental policies and productivity growth: Evidence across industries and firms," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 209-226.
    17. Xie, Hualin & Wang, Wei & Yang, Zihui & Choi, Yongrok, 2016. "Measuring the sustainable performance of industrial land utilization in major industrial zones of China," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 207-219.
    18. Shi, Xiaoping & HEERINK, Nico & QU, Futian, 2011. "Does off-farm employment contribute to agriculture-based environmental pollution? New insights from a village-level analysis in Jiangxi Province, China," China Economic Review, Elsevier, vol. 22(4), pages 524-533.
    19. Yanrui Wu, 2007. "Export performance in China's regional economies," Applied Economics, Taylor & Francis Journals, vol. 39(10), pages 1283-1293.
    20. Eyraud, Luc & Clements, Benedict & Wane, Abdoul, 2013. "Green investment: Trends and determinants," Energy Policy, Elsevier, vol. 60(C), pages 852-865.
    21. Ning Zhang & Jong-Dae Kim, 2014. "Measuring sustainability by Energy Efficiency Analysis for Korean Power Companies: A Sequential Slacks-Based Efficiency Measure," Sustainability, MDPI, vol. 6(3), pages 1-13, March.
    22. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    23. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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