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The wage-productivity nexus in the world factory economy

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  • Dosi, Giovanni
  • Virgillito, Maria Enrica
  • Yu, Xiaodan

Abstract

This paper highlights new findings on the wage-productivity nexus in the World Factory Economy. After presenting the long-run macro-elasticity characterizing the phase of Chinese economic development since the eighties, we look at the wage-productivity nexus from a micro level perspective using a detailed firm-level dataset covering the period of ownership restructuring (1998–2007). A few results are quite robust under different estimation strategies. First, throughout the impressive Chinese economic miracle, elasticities of real wages to productivities – that is the ratios of rates of variation of the former to the latter – are always positive both under pooled and longitudinal estimates, both at firm- and sectoral-levels. Second, such elasticities are dramatically low, and falling in many distinct phases since the late seventies. That is, even in the manufacturing sector, the distribution of gains from the impressive labour productivity growth appears to be markedly uneven. Finally, third, governance institutions seem to matter a lot, with the majority of ownership types exhibiting firm-specific wage determination processes. The low elasticities of wages to productivity are plausibly the consequence of the massive flow of migrant workers from the rural areas to the coasts, somewhat resembling the early phase of the English Industrial Revolution with the pattern of enclosure in the country-side and massive migrations to the industrial towns.

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  • Dosi, Giovanni & Virgillito, Maria Enrica & Yu, Xiaodan, 2020. "The wage-productivity nexus in the world factory economy," World Development, Elsevier, vol. 129(C).
  • Handle: RePEc:eee:wdevel:v:129:y:2020:i:c:s0305750x20300012
    DOI: 10.1016/j.worlddev.2020.104875
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    as
    1. Alexis Dinno, 2015. "Nonparametric pairwise multiple comparisons in independent groups using Dunn's test," Stata Journal, StataCorp LP, vol. 15(1), pages 292-300, March.
    2. Berlingieri, Giuseppe & Blanchenay, Patrick & Criscuolo, Chiara, 2024. "The great divergence(s)," Research Policy, Elsevier, vol. 53(3).
    3. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
    4. Abrevaya, Jason & Dahl, Christian M, 2008. "The Effects of Birth Inputs on Birthweight," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 379-397.
    5. David Card & Ana Rute Cardoso & Joerg Heining & Patrick Kline, 2018. "Firms and Labor Market Inequality: Evidence and Some Theory," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 13-70.
    6. Jefferson, Gary & Hu, Albert G. Z. & Guan, Xiaojing & Yu, Xiaoyun, 2003. "Ownership, performance, and innovation in China's large- and medium-size industrial enterprise sector," China Economic Review, Elsevier, vol. 14(1), pages 89-113.
    7. Richard F. J. Haans & Constant Pieters & Zi-Lin He, 2016. "Thinking about U: Theorizing and testing U- and inverted U-shaped relationships in strategy research," Strategic Management Journal, Wiley Blackwell, vol. 37(7), pages 1177-1195, July.
    8. Appleton, Simon & Song, Lina & Xia, Qingjie, 2014. "Understanding Urban Wage Inequality in China 1988–2008: Evidence from Quantile Analysis," World Development, Elsevier, vol. 62(C), pages 1-13.
    9. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    10. Mayneris, Florian & Poncet, Sandra & Zhang, Tao, 2018. "Improving or disappearing: Firm-level adjustments to minimum wages in China," Journal of Development Economics, Elsevier, vol. 135(C), pages 20-42.
    11. Timothy Dunne & Lucia Foster & John Haltiwanger & Kenneth R. Troske, 2004. "Wage and Productivity Dispersion in United States Manufacturing: The Role of Computer Investment," Journal of Labor Economics, University of Chicago Press, vol. 22(2), pages 397-430, April.
    12. Harald Hau & Yi Huang & Gewei Wang, 2020. "Firm Response to Competitive Shocks: Evidence from China’s Minimum Wage Policy," Review of Economic Studies, Oxford University Press, vol. 87(6), pages 2639-2671.
    13. Chad Syverson, 2017. "Challenges to Mismeasurement Explanations for the US Productivity Slowdown," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 165-186, Spring.
    14. Brandt, Loren & Van Biesebroeck, Johannes & Zhang, Yifan, 2012. "Creative accounting or creative destruction? Firm-level productivity growth in Chinese manufacturing," Journal of Development Economics, Elsevier, vol. 97(2), pages 339-351.
    15. Giovanni Dosi & Daniele Moschella & Emanuele Pugliese & Federico Tamagni, 2015. "Productivity, market selection, and corporate growth: comparative evidence across US and Europe," Small Business Economics, Springer, vol. 45(3), pages 643-672, October.
    16. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    17. Joao Paulo Pessoa & John Van Reenen, 2013. "Wage growth and productivity growth: the myth and reality of 'decoupling'," CentrePiece - The magazine for economic performance 401, Centre for Economic Performance, LSE.
    18. Qingjie Xia & Lina Song & Shi Li & Simon Appleton, 2014. "The effect of the state sector on wage inequality in urban China: 1988--2007," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 12(1), pages 29-45, February.
    19. Cordeiro De Noronha Pessoa, Joao Paulo & Van Reenen, John, 2013. "Decoupling of wage growth and productivity growth? Myth and reality," LSE Research Online Documents on Economics 121790, London School of Economics and Political Science, LSE Library.
    20. Sarosh Kuruvilla, 2018. "Editorial Essay: From Cautious Optimism to Renewed Pessimism: Labor Voice and Labor Scholarship in China," ILR Review, Cornell University, ILR School, vol. 71(5), pages 1013-1028, October.
    21. Anna M. Stansbury & Lawrence H. Summers, 2017. "Productivity and Pay: Is the link broken?," NBER Working Papers 24165, National Bureau of Economic Research, Inc.
    22. Cyrille Schwellnus & Andreas Kappeler & Pierre-Alain Pionnier, 2017. "The Decoupling of Median Wages from Productivity in OECD Countries," International Productivity Monitor, Centre for the Study of Living Standards, vol. 32, pages 44-60, Spring.
    23. Dong, Xiao-Yuan, 2005. "Wage inequality and between-firm wage dispersion in the 1990s: A comparison of rural and urban enterprises in China," Journal of Comparative Economics, Elsevier, vol. 33(4), pages 664-687, December.
    24. Erling Barth & Alex Bryson & James C. Davis & Richard Freeman, 2016. "It's Where You Work: Increases in the Dispersion of Earnings across Establishments and Individuals in the United States," Journal of Labor Economics, University of Chicago Press, vol. 34(S2), pages 67-97.
    25. John Schmitt, 2013. "Why Does the Minimum Wage Have No Discernible Effect on Employment?," CEPR Reports and Issue Briefs 2013-04, Center for Economic and Policy Research (CEPR).
    26. Han, Jun & Liu, Runjuan & Zhang, Junsen, 2012. "Globalization and wage inequality: Evidence from urban China," Journal of International Economics, Elsevier, vol. 87(2), pages 288-297.
    27. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    28. Mita Bhattacharya & Paresh Narayan & Stephan Popp & Badri Rath, 2011. "The productivity-wage and productivity-employment nexus: a panel data analysis of Indian manufacturing," Empirical Economics, Springer, vol. 40(2), pages 285-303, April.
    29. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    30. Cyrille Schwellnus & Andreas Kappeler & Pierre-Alain Pionnier, 2017. "Decoupling of wages from productivity: Macro-level facts," OECD Economics Department Working Papers 1373, OECD Publishing.
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    Cited by:

    1. Giovanni Dosi & Maria Enrica Virgillito & Xiaodan Yu, 2023. "Gains from trade or from catching-up? Value creation and distribution in the era of China’s WTO accession," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 119-166, March.
    2. Federico Riccio & Lorenzo Cresti & Maria Enrica Virgillito, 2022. "The labour share along global value chains. Perspectives and evidence from sectoral interdependence," LEM Papers Series 2022/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Md Aslam Mia & Lucia Dalla Pellegrina & Cheng Zhang & Sunil Sangwan, 2022. "Efficiency Wage and Productivity in the Indian Microfinance Industry: A Panel Evidence," IIM Kozhikode Society & Management Review, , vol. 11(2), pages 235-252, July.
    4. Federico Riccio & Giovanni Dosi & Maria Enrica Virgillito, 2023. "Smile without a reason why: functional specialisation and income distribution along global value chains," LEM Papers Series 2023/31, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Stefano Costa & Stefano De Santis & Giovanni Dosi & Roberto Monducci & Angelica Sbardella & Maria Enrica Virgillito, 2021. "Firm responses to the pandemic crisis: sticky capabilites and widespread restructuring," LEM Papers Series 2021/48, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Nasir, Muhammad Ali & Wu, Junjie & Howes, Cameron & Ripley, Helen, 2022. "Asymmetric nexus between wages and productivity in the context of the global financial crisis," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 164-175.
    7. Fofack, Achille & Temkeng, Serge, 2021. "A cross-sectoral analysis of the relation between labor productivity and labor compensation in the European Union," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 62, pages 54-65.
    8. Shishir Shakya & Alicia Plemmons & Juan Tomas Sayago-Gomez, 2022. "Spatial spillovers and the productivity-compensation gap in the United States," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(3), pages 669-689, June.

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    More about this item

    Keywords

    Chinese industrialization; Gain-sharing; Labour market institutions; Labour productivity; Wage dispersion;
    All these keywords.

    JEL classification:

    • L6 - Industrial Organization - - Industry Studies: Manufacturing
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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