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Green total factor productivity: A re-examination of quality of growth for provinces in China

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  • Xia, Fan
  • Xu, Jintao

Abstract

In this paper we try to assess the quality of growth for provinces in China over the period of 1997–2015. To do so we calculate a set of Green total factor productivity (or GTFP) indexes by incorporating environmental performance variables at the provincial level. A nonparametric approach (Directional Distance Function a la Chung et al., 1997) is adopted in the estimation. Furthermore, we apply bootstrapping method to correct estimation bias and obtain statistical property of the estimated indexes. The GTFP indexes estimated here demonstrate very different trends from the GDP growth rateand standard TFP indexes ignoring environmental outcomes. For the period of interests, when annual GDP growth rate was very high, no steady growth was found in TFP and GTFP, by contrast. The rankings of provinces differ significantly across measures of GDP growth, TFP and GTFP. In addition, our estimates of GTFP trends are also significantly different from findings by other papers of GTFP estimation (Hu et al., 2008; Wang et al., 2010) without bootstrapping procedure.

Suggested Citation

  • Xia, Fan & Xu, Jintao, 2020. "Green total factor productivity: A re-examination of quality of growth for provinces in China," China Economic Review, Elsevier, vol. 62(C).
    • Handle: RePEc:eee:chieco:v:62:y:2020:i:c:s1043951x20300511
    DOI: 10.1016/j.chieco.2020.101454
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    as
    1. Chen, Shiyi & Golley, Jane, 2014. "‘Green’ productivity growth in China's industrial economy," Energy Economics, Elsevier, vol. 44(C), pages 89-98.
    2. William D. Nordhaus & James Tobin, 1973. "Is Growth Obsolete?," NBER Chapters, in: The Measurement of Economic and Social Performance, pages 509-564, National Bureau of Economic Research, Inc.
    3. Simar, Léopold & Vanhems, Anne & Wilson, Paul W., 2012. "Statistical inference for DEA estimators of directional distances," European Journal of Operational Research, Elsevier, vol. 220(3), pages 853-864.
    4. Duan, Na & Guo, Jun-Peng & Xie, Bai-Chen, 2016. "Is there a difference between the energy and CO2 emission performance for China’s thermal power industry? A bootstrapped directional distance function approach," Applied Energy, Elsevier, vol. 162(C), pages 1552-1563.
    5. Watanabe, Michio & Tanaka, Katsuya, 2007. "Efficiency analysis of Chinese industry: A directional distance function approach," Energy Policy, Elsevier, vol. 35(12), pages 6323-6331, December.
    6. Zhou, P. & Delmas, M.A. & Kohli, A., 2017. "Constructing meaningful environmental indices: A nonparametric frontier approach," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 21-34.
    7. Jinghai Zheng & Angang Hu, 2006. "An Empirical Analysis of Provincial Productivity in China (1979-2001)," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 4(3), pages 221-239.
    8. Álvarez, Inmaculada & Barbero, Javier & Zofío, Jose Luis, 2016. "A Data Envelopment Analysis Toolbox for MATLAB," Working Papers in Economic Theory 2016/03, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).
    9. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    10. Simar, Leopold & Wilson, Paul W., 1999. "Estimating and bootstrapping Malmquist indices," European Journal of Operational Research, Elsevier, vol. 115(3), pages 459-471, June.
    11. Aparicio, Juan & Pastor, Jesus T. & Zofio, Jose L., 2013. "On the inconsistency of the Malmquist–Luenberger index," European Journal of Operational Research, Elsevier, vol. 229(3), pages 738-742.
    12. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    13. Kumar, Surender, 2006. "Environmentally sensitive productivity growth: A global analysis using Malmquist-Luenberger index," Ecological Economics, Elsevier, vol. 56(2), pages 280-293, February.
    14. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    15. Raymond W. Goldsmith, 1951. "A Perpetual Inventory of National Wealth," NBER Chapters, in: Studies in Income and Wealth, Volume 14, pages 5-73, National Bureau of Economic Research, Inc.
    16. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    17. Fukuyama, Hirofumi & Weber, William L., 2009. "A directional slacks-based measure of technical inefficiency," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 274-287, December.
    18. William D. Nordhaus & James Tobin, 1972. "Economic Research: Retrospect and Prospect, Volume 5, Economic Growth," NBER Books, National Bureau of Economic Research, Inc, number nord72-1, March.
    19. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    20. Charles R. Hulten, 2001. "Total Factor Productivity: A Short Biography," NBER Chapters, in: New Developments in Productivity Analysis, pages 1-54, National Bureau of Economic Research, Inc.
    21. Boyd, James, 2007. "Nonmarket benefits of nature: What should be counted in green GDP?," Ecological Economics, Elsevier, vol. 61(4), pages 716-723, March.
    22. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    23. Jing Cao & Mun S. Ho & Dale W. Jorgenson & Ruoen Ren & Linlin Sun & Ximing Yue, 2009. "Industrial And Aggregate Measures Of Productivity Growth In China, 1982–2000," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(s1), pages 485-513, July.
    24. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    25. Wang, Qunwei & Su, Bin & Zhou, Peng & Chiu, Ching-Ren, 2016. "Measuring total-factor CO2 emission performance and technology gaps using a non-radial directional distance function: A modified approach," Energy Economics, Elsevier, vol. 56(C), pages 475-482.
    26. Alwyn Young, 2003. "Gold into Base Metals: Productivity Growth in the People's Republic of China during the Reform Period," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1220-1261, December.
    27. Byung M. Jeon & Robin C. Sickles, 2004. "The role of environmental factors in growth accounting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(5), pages 567-591.
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