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Provincial Quality of Economic Growth: Measurements and Influencing Factors for China

Author

Listed:
  • Shaofeng Ru

    (School of Economics & Management, Northwest University, Xi’an 710127, China)

  • Jiaqi Liu

    (School of Economics & Management, Northwest University, Xi’an 710127, China)

  • Tonghui Wang

    (Department of Mathematical Sciences, New Mexico State University, Las Cruces, NM 88003, USA)

  • Guo Wei

    (Department of Mathematics and Computer Science, University of North Carolina at Pembroke, Pembroke, NC 28372, USA)

Abstract

An extended total factor productivity method is developed for measuring the quality of economic growth (QEG). Specifically, criteria for judging the QEG are first elaborated using endogenous economic growth theory, and subsequently, an assessment index system for evaluating QEG is constructed. In this system, the production factors primarily include labor, material capital, education, medical and health, environmental resource, and social security, while the output indexes comprise the gross domestic product (GDP), employment rate, income gap, and environmental pollution. In the empirical study, the directional distance function and Global Malmquist-Luenberger index are implemented to examine the QEG in China from 2000 to 2016 by provinces, regions, and factor decomposition, respectively. The global scale technological change and global pure technological change are the main sources for improving the QEG. The results also reveal a considerable widespread inefficiency and uneven development of the QEG. In general, from the eastern to western to central regions, the QEG becomes noticeably lower; The investment level is not only a driving force for economic growth, but also a source for boosting the QEG. These findings will provide a reference for China in adjusting relevant investments, ameliorating environmental conditions, and accomplishing the unity of quantity, quality, and efficiency in economic growth.

Suggested Citation

  • Shaofeng Ru & Jiaqi Liu & Tonghui Wang & Guo Wei, 2020. "Provincial Quality of Economic Growth: Measurements and Influencing Factors for China," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:4:p:1354-:d:319744
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    References listed on IDEAS

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    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Ronald Shadbegian & Wayne Gray, 2006. "Assessing multi-dimensional performance: environmental and economic outcomes," Journal of Productivity Analysis, Springer, vol. 26(3), pages 213-234, December.
    3. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    4. Robert Barro, 2002. "Quantity and Quality of Economic Growth," Central Banking, Analysis, and Economic Policies Book Series, in: Norman Loayza & Raimundo Soto & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series Editor) (ed.),Economic Growth: Sources, Trends, and Cycles, edition 1, volume 6, chapter 5, pages 135-162, Central Bank of Chile.
    5. Chow, Gregory & Lin, An-loh, 2002. "Accounting for Economic Growth in Taiwan and Mainland China: A Comparative Analysis," Journal of Comparative Economics, Elsevier, vol. 30(3), pages 507-530, September.
    6. Hailu, Atakelty & Veeman, Terrence S., 2000. "Environmentally Sensitive Productivity Analysis of the Canadian Pulp and Paper Industry, 1959-1994: An Input Distance Function Approach," Journal of Environmental Economics and Management, Elsevier, vol. 40(3), pages 251-274, November.
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    Cited by:

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    4. Xin Du & Hengming Zhang & Yawen Han, 2022. "How Does New Infrastructure Investment Affect Economic Growth Quality? Empirical Evidence from China," Sustainability, MDPI, vol. 14(6), pages 1-30, March.

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