IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v197y2023ics0040162523006108.html
   My bibliography  Save this article

Measurement of labor reallocation effect in China

Author

Listed:
  • Zhang, Shangfeng
  • Chen, Congcong
  • Nicholls, Jose Fernando Gallego

Abstract

Improving the labor reallocation effect can promote the transformation of the driving force of economic growth and enable high-quality development. Therefore, this study constructs a growth source model from the perspective of human capital, considering labor price distortion and time-varying factor elasticity to measure the effect of labor reallocation under the crossover of provincial industries and analyze the impact of labor reallocation on employment share. The relevant findings are threefold. Aoki (2012)) The distortion of labor price is the largest in the primary industry, followed by the tertiary and secondary industries. Bai and Liu (2018)) Measuring the labor reallocation effect from the perspective of human capital allocation reveals a 3.7 % overall loss of the effect under allocation distortion compared with that under effective allocation. Bakas et al. (2017)) In terms of industrial structure adjustment, compared with the labor share under effective allocation, that of the primary industry still requires a 0.25 reduction, and that of the secondary and tertiary industries should be reduced by 0.07 and 0.18, respectively. The research results provide valuable insights for Chinese policymakers to further improve the market economy system and adjust the industrial structure to optimize resource allocation and advance economic growth.

Suggested Citation

  • Zhang, Shangfeng & Chen, Congcong & Nicholls, Jose Fernando Gallego, 2023. "Measurement of labor reallocation effect in China," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
  • Handle: RePEc:eee:tefoso:v:197:y:2023:i:c:s0040162523006108
    DOI: 10.1016/j.techfore.2023.122925
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162523006108
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2023.122925?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dimitrios Bakas & Theodore Panagiotidis & Gianluigi Pelloni, 2017. "Regional And Sectoral Evidence Of The Macroeconomic Effects Of Labor Reallocation: A Panel Data Analysis," Economic Inquiry, Western Economic Association International, vol. 55(1), pages 501-526, January.
    2. Aoki, Shuhei, 2012. "A simple accounting framework for the effect of resource misallocation on aggregate productivity," Journal of the Japanese and International Economies, Elsevier, vol. 26(4), pages 473-494.
    3. Timmer, Marcel P. & Szirmai, Adam, 2000. "Productivity growth in Asian manufacturing: the structural bonus hypothesis examined," Structural Change and Economic Dynamics, Elsevier, vol. 11(4), pages 371-392, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ziesemer, Thomas H.W., 2010. "The impact of the credit crisis on poor developing countries: Growth, worker remittances, accumulation and migration," Economic Modelling, Elsevier, vol. 27(5), pages 1230-1245, September.
    2. Laiqun Jin & Xiuyan Liu & Sam Hak Kan Tang, 2021. "High-Technology Zones, Misallocation of Resources among Cities and Aggregate Productivity: Evidence from China," Economics Discussion / Working Papers 21-11, The University of Western Australia, Department of Economics.
    3. Trenczek, Jan & Wacker, Konstantin M., 2023. "Human Capital Misallocation and Output per Worker Differences: Beyond Cobb-Douglas," GLO Discussion Paper Series 1331, Global Labor Organization (GLO).
    4. Claire Giordano, 2023. "Revisiting the real exchange rate misalignment‐economic growth nexus via the across‐sector misallocation channel," Review of International Economics, Wiley Blackwell, vol. 31(4), pages 1329-1384, September.
    5. Andrés Maroto Sánchez & Juan Ramón Cuadrado Roura, 2008. "New Regional convergence in productivity and productive structure. Application to European Southern countries," Working Papers 11/08, Instituto Universitario de Análisis Económico y Social.
    6. Shuai Qin & Hong Chen & Tuyen Thi Tran & Haokun Wang, 2022. "Analysis of the Spatial Effect of Capital Misallocation on Agricultural Output—Taking the Main Grain Producing Areas in Northeast China as an Example," Sustainability, MDPI, vol. 14(10), pages 1-17, May.
    7. Tan Khee Giap & Mulya Amri, 2018. "Slow Growth and Sluggish Manufacturing in Indonesia¡¯s Less Competitive Provinces: A Geweke Causality Analysis," Applied Finance and Accounting, Redfame publishing, vol. 4(2), pages 2-14, August.
    8. Tan, Ruipeng & Lin, Boqiang & Liu, Xiying, 2019. "Impacts of eliminating the factor distortions on energy efficiency—A focus on China's secondary industry," Energy, Elsevier, vol. 183(C), pages 693-701.
    9. Concetta Castiglione, 2011. "Verdoorn-Kaldor’s Law: an empirical analysis with time series data in the United States," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 1(3), pages 1-8.
    10. Yang Liu & Yanlin Yang & Huihui Li & Kaiyang Zhong, 2022. "Digital Economy Development, Industrial Structure Upgrading and Green Total Factor Productivity: Empirical Evidence from China’s Cities," IJERPH, MDPI, vol. 19(4), pages 1-23, February.
    11. Erumban, Abdul A. & de Vries, Gaaitzen J., 2024. "Structural change and poverty reduction in developing economies," World Development, Elsevier, vol. 181(C).
    12. Zhang, Shangfeng & Chen, Congcong & Xu, Siwa & Xu, Bing, 2021. "Measurement of capital allocation efficiency in emerging economies: evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    13. Cai Chen & Shunbin Zhong & Yingli Zhang & Yun Bai, 2023. "The Economic Impact of Green Credit: From the Perspective of Industrial Structure and Green Total Factor Productivity," Sustainability, MDPI, vol. 15(2), pages 1-22, January.
    14. Xu, Mo & Tao, Changqi & Zou, Xianya, 2024. "How do technology and institutional adaptability promote sustainable economic entrepreneurship and growth?," Journal of Business Research, Elsevier, vol. 172(C).
    15. Ester G. Silva & Aurora A. C. Teixeira, 2011. "Does structure influence growth? A panel data econometric assessment of "relatively less developed" countries, 1979--2003," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 20(2), pages 457-510, April.
    16. Cornwall, John & Cornwall, Wendy, 2002. "A demand and supply analysis of productivity growth," Structural Change and Economic Dynamics, Elsevier, vol. 13(2), pages 203-229, June.
    17. Ziesemer, Thomas H.W., 2012. "Worker remittances, migration, accumulation and growth in poor developing countries: Survey and analysis of direct and indirect effects," Economic Modelling, Elsevier, vol. 29(2), pages 103-118.
    18. Michael Peneder & Karl Aiginger & Gernot Hutschenreiter & Markus Marterbauer, 2001. "Structural Change and Economic Growth," WIFO Studies, WIFO, number 20668.
    19. Ilya B. Voskoboynikov, 2020. "Structural Change, Expanding Informality and Labor Productivity Growth in Russia," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(2), pages 394-417, June.
    20. Mario, Cimoli, 2005. "Heterogeneidad estructural, asimetrías tecnológicas y crecimiento en América Latina [Structural heterogeneity, technological asymmetries and growth in Latin America]," MPRA Paper 3832, University Library of Munich, Germany.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:197:y:2023:i:c:s0040162523006108. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.