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Transient and persistent inefficiency traps in Chinese provinces

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  • Chen, Hong
  • Wang, Xi
  • Singh, Baljeet

Abstract

Many existing studies on China noted that technical inefficiency varied across Chinese provinces and changed with time. These studies further observe that a province’s inefficiency status varies with time, suggesting a province’s lagging behind status may be transient. Given heterogeneity of provinces in terms of resource endowment, geographical location and so on, the judgement of a province in transient lagging status should be based on the province’s contemporaneous efficiency level compared to its own potential frontier efficiency level. Accordingly, this study distinguishes between persistent and transient inefficiency. It identifies provinces that are respectively caught in the two types of inefficiency traps and explores policy measures to reduce the possibility of a lagging behind province being trapped in the disadvantaged situations. Analysis suggests that the transient inefficiency trap problem can be mitigated by technological progress and education. It is also found that persistent inefficiency trap to a large extent is explained by geographical location, yet location’s hinderance effect can be offset by increases in public and private investment and trade openness.

Suggested Citation

  • Chen, Hong & Wang, Xi & Singh, Baljeet, 2021. "Transient and persistent inefficiency traps in Chinese provinces," Economic Modelling, Elsevier, vol. 97(C), pages 335-347.
  • Handle: RePEc:eee:ecmode:v:97:y:2021:i:c:p:335-347
    DOI: 10.1016/j.econmod.2020.04.005
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    References listed on IDEAS

    as
    1. Duclos, Jean-Yves & Araar, Abdelkrim & Giles, John, 2010. "Chronic and transient poverty: Measurement and estimation, with evidence from China," Journal of Development Economics, Elsevier, vol. 91(2), pages 266-277, March.
    2. Chen, Jian & Fleisher, Belton M., 1996. "Regional Income Inequality and Economic Growth in China," Journal of Comparative Economics, Elsevier, vol. 22(2), pages 141-164, April.
    3. Lin, Justin Y & Wang, Gewei & Zhao, Yaohui, 2004. "Regional Inequality and Labor Transfers in China," Economic Development and Cultural Change, University of Chicago Press, vol. 52(3), pages 587-603, April.
    4. Fleisher, Belton M. & Chen, Jian, 1997. "The Coast-Noncoast Income Gap, Productivity, and Regional Economic Policy in China," Journal of Comparative Economics, Elsevier, vol. 25(2), pages 220-236, October.
    5. Massimo Filippini & William Greene, 2016. "Persistent and transient productive inefficiency: a maximum simulated likelihood approach," Journal of Productivity Analysis, Springer, vol. 45(2), pages 187-196, April.
    6. D. W. Jorgenson & Z. Griliches, 1967. "The Explanation of Productivity Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 34(3), pages 249-283.
    7. Joaquin Maudos & Jose Manuel Pastor & Lorenzo Serrano, 2003. "Human capital in OECD countries: Technical change, efficiency and productivity," International Review of Applied Economics, Taylor & Francis Journals, vol. 17(4), pages 419-435.
    8. Philip McCann, 2018. "The trade, geography and regional implications of Brexit," Papers in Regional Science, Wiley Blackwell, vol. 97(1), pages 3-8, March.
    9. Tian, Xu & Yu, Xiaohua, 2012. "The Enigmas of TFP in China: A meta-analysis," China Economic Review, Elsevier, vol. 23(2), pages 396-414.
    10. Zhou, Xianbo & Li, Kui-Wai & Li, Qin, 2011. "An analysis on technical efficiency in post-reform China," China Economic Review, Elsevier, vol. 22(3), pages 357-372, September.
    11. Tim J. Coelli & D. S. Prasada Rao, 2005. "Total factor productivity growth in agriculture: a Malmquist index analysis of 93 countries, 1980–2000," Agricultural Economics, International Association of Agricultural Economists, vol. 32(s1), pages 115-134, January.
    12. L. Becchetti & David Bedoya & L. Paganetto, 2003. "ICT Investment, Productivity and Efficiency: Evidence at Firm Level Using a Stochastic Frontier Approach," Journal of Productivity Analysis, Springer, vol. 20(2), pages 143-167, September.
    13. Chen, Hong & Wang, Xi & Singh, Baljeet, 2018. "Can private domestic investment lead Chinese technological progress?," Economic Modelling, Elsevier, vol. 70(C), pages 186-193.
    14. Philip McCann, 2020. "Perceptions of regional inequality and the geography of discontent: insights from the UK," Regional Studies, Taylor & Francis Journals, vol. 54(2), pages 256-267, February.
    15. 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.
    16. Daan Steenkamp, 2018. "Factor Substitution and Productivity in New Zealand," The Economic Record, The Economic Society of Australia, vol. 94(304), pages 64-79, March.
    17. Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
    18. Badunenko, Oleg & Kumbhakar, Subal C., 2016. "When, where and how to estimate persistent and transient efficiency in stochastic frontier panel data models," European Journal of Operational Research, Elsevier, vol. 255(1), pages 272-287.
    19. Efthymios G. Tsionas & Subal C. Kumbhakar, 2014. "FIRM HETEROGENEITY, PERSISTENT AND TRANSIENT TECHNICAL INEFFICIENCY: A GENERALIZED TRUE RANDOM‐EFFECTS model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(1), pages 110-132, January.
    20. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    21. Chen, Xi, 2017. "Biased Technical Change, Scale, And Factor Substitution In U.S. Manufacturing Industries," Macroeconomic Dynamics, Cambridge University Press, vol. 21(2), pages 488-514, March.
    22. 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.
    23. Seung Ahn & Robin Sickles, 2000. "Estimation of long-run inefficiency levels: a dynamic frontier approach," Econometric Reviews, Taylor & Francis Journals, vol. 19(4), pages 461-492.
    24. Chen, Yi-Yi & Schmidt, Peter & Wang, Hung-Jen, 2014. "Consistent estimation of the fixed effects stochastic frontier model," Journal of Econometrics, Elsevier, vol. 181(2), pages 65-76.
    25. Jyotsna Jalan & Martin Ravallion, 2000. "Is transient poverty different? Evidence for rural China," Journal of Development Studies, Taylor & Francis Journals, vol. 36(6), pages 82-99.
    26. Yasushi Nakamura, 2015. "Productivity versus elasticity: a normalized constant elasticity of substitution production function applied to historical Soviet data," Applied Economics, Taylor & Francis Journals, vol. 47(53), pages 5805-5823, November.
    27. James Carroll & Carol Newman & Fiona Thorne, 2011. "A comparison of stochastic frontier approaches for estimating technical inefficiency and total factor productivity," Applied Economics, Taylor & Francis Journals, vol. 43(27), pages 4007-4019.
    28. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    29. Jalan, Jyotsna & Ravallion, Martin, 1998. "Transient Poverty in Postreform Rural China," Journal of Comparative Economics, Elsevier, vol. 26(2), pages 338-357, June.
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    1. Li, Kaifeng & Guo, Zhaoxuan & Chen, Qi, 2021. "The effect of economic policy uncertainty on enterprise total factor productivity based on financial mismatch: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).

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    More about this item

    Keywords

    Transient; Persistent; Inefficiency; Inefficiency trap; China;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure

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