| Peer-Reviewed

Threshold Effect of Industrial Structure Change on Economic Growth

Received: 16 April 2019    Accepted: 2 June 2019    Published: 17 June 2019
Views:       Downloads:
Abstract

Based on the framework of neoclassical growth theory, this paper constructs a time series threshold co-integration model to test and analyze the impact of ratio of the tertiary and the secondary industry, the tertiary and the primary industry, the productive service industry and the service industry on economic growth during 1979-2015 in China. The following conclusions are drawn: (1) there is a threshold effect of industrial structure change on economic growth. The time node of the threshold effect is about 2009-2010. (2) threshold effect of industrial structure on economic growth is mainly achieved by changing the output efficiency of labor factors. After 2009-2010, the labor output efficiency declines significantly, while the capital output efficiency remains basically unchanged. The conclusions of the study show that the premature development of service industry and the excessive non-productive tendency of service industry development are very detrimental to the sustained growth of China's economy in the middle and late stages of industrialization. This paper provides some policy suggestions, such as continuing to promote the mechanization and large-scale development of the agricultural industry, deepening the development of manufacturing industry, and focusing on the development of productive services, to maintain the high-speed economic growth of China.

Published in International Journal of Business and Economics Research (Volume 8, Issue 3)
DOI 10.11648/j.ijber.20190803.15
Page(s) 118-124
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Industrial Structural Change, Factor Efficiency, Economic Growth, Service Leading Tendency of Industrial Structure, Non-productive Development Tendency of Service Industry

References
[1] Lang, L. H., Chou, M. S (2012). Structural reform and macroeconomic Stability. Economic Research 8, 152-160.
[2] Liu, S. X., Fan, Y. X (2012). Macroeconomic policy should be dominated by structural reform. Chinese Finance 20, 71-73.
[3] Liu, Y. N., An, L. R., Jin, T. L (2014). The quality of China's economic growth under the background of unbalanced economic structure. Research on Quantity Economy and Technology Economy 10, 20-35.
[4] Yuan, F. H (2014). Analysis of the dual structure of Chinese economy. Economic and Management Review 3, 9-17.
[5] Yu, B. B (2015). The Economic growth effect of industrial structure adjustment and productivity improvement: an analysis based on Chinese urban dynamic spatial panel model. Industrial Economy of China 12, 83-95.
[6] Shen, K. R., Teng, Y. L (2013). Economic growth in China under the “structural” deceleration. Economist 8, 29-38.
[7] China Economic Growth Frontier Group (2013). Structural characteristics, transition risk and ways to improve efficiency for slowdown of China's economic. Economic Research 3, 4-18.
[8] Denison, E. F (1962). United States economic growth. Journal of Business 35 (2), 109-121.
[9] Peneder, M. (2003). Industrial structure and aggregate growth. Structural Change & Economic Dynamics, 14 (4), 427-448.
[10] Kuznets, S (1971). economic growth of nations, Harvard University Press.
[11] Chenery, H. B., Robinson, S., Syrquin, M., et al (1986). Industrialization and growth: a comparative study. Oxford University Press.
[12] Nutahara, K (2008). Structural changes and economic growth: evidence from Japan. Economics Bulletin 15 (9), 1-11.
[13] Cortuk, O., Singh, N (2013). Analyzing the structural change and growth relationship in India: state-level evidence. Working Papers, UC Santa Cruz Economics Department, No. 712.
[14] Cao, K. H., Birchenall, J. A (2013). Agricultural productivity, structural change, and economic growth in post-reform China. Journal of Development Economics 104 (3), 165-180.
[15] Donatella, S (2015). Structural change, globalization and economic growth in China and India. European Journal of Comparative Economics 12 (2), 133-163.
[16] Liu, W., Zhang H (2008). Changes in industrial structure and technological progress in China's economic growth. Economic Research 11, 4-15.
[17] Gan, C. H., Zheng, R. G., Yu, D. F (2011). The influence of China's industrial structure change on economic growth and fluctuation. Economic Research 5, 4-16.
[18] Chou, S. F., Wang, W., Dong, D. X (2013). An Analysis of the effect of human capital and industrial structure transformation on economic growth: empirical evidence from provincial panel data in China. Research on Quantity Economy and Technology Economy 8, 65-77.
[19] Kumar, N (2002). Globalization and the quality of foreign direct investment. Oxford University Press.
[20] Gonzalo, J., Pitarakis, J (2006). Threshold effects in cointegrating relationships. Oxford Bulletin of Economics and Statistics 68 (s1): 813-833.
[21] Teräsvirta, T (1994). Specification, estimation, and evaluation of smooth transition autoregressive models. Journal of the American Statistical Association, 89 (425): 208-218.
[22] Choi, I., Saikkonen, P (2010). Tests for nonlinear cointegration. Econometric Theory 26 (3), 682-709.
Cite This Article
  • APA Style

    Yan Du, Qian Wu. (2019). Threshold Effect of Industrial Structure Change on Economic Growth. International Journal of Business and Economics Research, 8(3), 118-124. https://doi.org/10.11648/j.ijber.20190803.15

    Copy | Download

    ACS Style

    Yan Du; Qian Wu. Threshold Effect of Industrial Structure Change on Economic Growth. Int. J. Bus. Econ. Res. 2019, 8(3), 118-124. doi: 10.11648/j.ijber.20190803.15

    Copy | Download

    AMA Style

    Yan Du, Qian Wu. Threshold Effect of Industrial Structure Change on Economic Growth. Int J Bus Econ Res. 2019;8(3):118-124. doi: 10.11648/j.ijber.20190803.15

    Copy | Download

  • @article{10.11648/j.ijber.20190803.15,
      author = {Yan Du and Qian Wu},
      title = {Threshold Effect of Industrial Structure Change on Economic Growth},
      journal = {International Journal of Business and Economics Research},
      volume = {8},
      number = {3},
      pages = {118-124},
      doi = {10.11648/j.ijber.20190803.15},
      url = {https://doi.org/10.11648/j.ijber.20190803.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijber.20190803.15},
      abstract = {Based on the framework of neoclassical growth theory, this paper constructs a time series threshold co-integration model to test and analyze the impact of ratio of the tertiary and the secondary industry, the tertiary and the primary industry, the productive service industry and the service industry on economic growth during 1979-2015 in China. The following conclusions are drawn: (1) there is a threshold effect of industrial structure change on economic growth. The time node of the threshold effect is about 2009-2010. (2) threshold effect of industrial structure on economic growth is mainly achieved by changing the output efficiency of labor factors. After 2009-2010, the labor output efficiency declines significantly, while the capital output efficiency remains basically unchanged. The conclusions of the study show that the premature development of service industry and the excessive non-productive tendency of service industry development are very detrimental to the sustained growth of China's economy in the middle and late stages of industrialization. This paper provides some policy suggestions, such as continuing to promote the mechanization and large-scale development of the agricultural industry, deepening the development of manufacturing industry, and focusing on the development of productive services, to maintain the high-speed economic growth of China.},
     year = {2019}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Threshold Effect of Industrial Structure Change on Economic Growth
    AU  - Yan Du
    AU  - Qian Wu
    Y1  - 2019/06/17
    PY  - 2019
    N1  - https://doi.org/10.11648/j.ijber.20190803.15
    DO  - 10.11648/j.ijber.20190803.15
    T2  - International Journal of Business and Economics Research
    JF  - International Journal of Business and Economics Research
    JO  - International Journal of Business and Economics Research
    SP  - 118
    EP  - 124
    PB  - Science Publishing Group
    SN  - 2328-756X
    UR  - https://doi.org/10.11648/j.ijber.20190803.15
    AB  - Based on the framework of neoclassical growth theory, this paper constructs a time series threshold co-integration model to test and analyze the impact of ratio of the tertiary and the secondary industry, the tertiary and the primary industry, the productive service industry and the service industry on economic growth during 1979-2015 in China. The following conclusions are drawn: (1) there is a threshold effect of industrial structure change on economic growth. The time node of the threshold effect is about 2009-2010. (2) threshold effect of industrial structure on economic growth is mainly achieved by changing the output efficiency of labor factors. After 2009-2010, the labor output efficiency declines significantly, while the capital output efficiency remains basically unchanged. The conclusions of the study show that the premature development of service industry and the excessive non-productive tendency of service industry development are very detrimental to the sustained growth of China's economy in the middle and late stages of industrialization. This paper provides some policy suggestions, such as continuing to promote the mechanization and large-scale development of the agricultural industry, deepening the development of manufacturing industry, and focusing on the development of productive services, to maintain the high-speed economic growth of China.
    VL  - 8
    IS  - 3
    ER  - 

    Copy | Download

Author Information
  • Institute of Finance, Hunan University of Commerce, Changsha, China

  • Institute of Economy and Trade, Hunan University of Commerce, Changsha, China

  • Sections