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Unraveling the enigma: decomposing China’s output and productivity growth in the new era—insights from listed companies

Part of: Productivity Measurement and Analysis

Published online by Cambridge University Press:  10 January 2025

Minjie Huang ,
Shunan Zhao Open the ORCID record for Shunan Zhao [Opens in a new window]  and
Mengjun Xie
Minjie Huang
Affiliation:
School of Economics, Shanxi University of Finance and Economics, Taiyuan, Shanxi, China
Shunan Zhao
Affiliation:
Department of Economics, Oakland University, Rochester, MI, USA
Mengjun Xie*
Affiliation:
College of Economics, Shandong Technology and Business University, Yantai, Shandong, China
*
Corresponding author: Mengjun Xie; Email: mjxie3@163.com
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Abstract

Building upon recent developments in production function identification and decomposition methods, this paper investigates the sources of output and productivity growth among China’s listed manufacturing companies from 2000 to 2022. While previous studies on China’s manufacturing have predominantly focused on the period preceding 2007, our study extends the analysis to a broader timeframe and divide it into four sub-periods to accommodate diverse economic conditions and varying growth rates. We provide new insights into the Chinese economy during a period marked by gradual economic transformation. Specifically, we first decompose industry output growth into factor deepening and firm productivity progress within each sub-period. To account for heterogeneity across firms in terms of production technology and sources of growth, we employ a nonparametric production function and decompose firm output growth at both the mean and different quantiles of the output distribution. We find that increased materials usage and productivity growth are primary growth drivers. However, the contribution of productivity experiences a significant decline, particularly in recent years and among median-sized and large firms. Furthermore, we examine China’s industry aggregate productivity growth and its origins among state-invested, foreign-invested, and domestic private firms. Our findings suggest that reforms among state firms are the largest contributor to industry productivity growth before the 2008 financial crisis, whereas productivity progress of domestic private firms emerges as the sole significant driver in recent years. Additionally, there is no evidence of improvements in output reallocation efficiency within China’s manufacturing sector throughout our sample period.

Keywords

Productivity and output growthmean and quantile decompositionstructural changeChina’s listed manufacturing companiesD24C13

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Type
Articles
Information
Macroeconomic Dynamics , Volume 29 , 2025 , e73
Copyright
© The Author(s), 2025. Published by Cambridge University Press

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References

Ackerberg, D. A., Caves, K. and Frazer, G.. (2015) Identification properties of recent production function estimators. Econometrica 83(6), 2411–2451.CrossRefGoogle Scholar
Arellano, M. and Bover, O.. (1995) Another look at the instrumental variable estimation of error-components models. Journal of Econometrics 68(1), 29–51.CrossRefGoogle Scholar
Asker, J., Collard-Wexler, A. and De Loecker, J.. (2014) Dynamic inputs and resource (mis)allocation. Journal of Political Economy 122(5), 1013–1063.CrossRefGoogle Scholar
Baily, M. (1992) Productivity dynamics in manufacturing plants. Brookings Paper on Economics Activity: Microeconomics 2.Google Scholar
Baily, M. N., Hulten, C., Campbell, D., Bresnahan, T., & Caves, R. E. (1992). Productivity Dynamics in Manufacturing Plants. Brookings Papers on Economic Activity. Microeconomics, 1992, 187–267.CrossRefGoogle Scholar
Blundell, R. and Bond, S.. (2000) GMM estimation with persistent panel data: An application to production functions. Econometric Reviews 19(3), 321–340.CrossRefGoogle Scholar
Bosworth, B. and Collins, S. M.. (2008) Accounting for growth: Comparing China and India. Journal of Economic Perspectives 22(1), 45–66.CrossRefGoogle Scholar
Brandt, L., Van Biesebroeck, J., Wang, L. and Zhang, Y.. (2017) WTO accession and performance of chinese manufacturing firms. American Economic Review 107(9), 2784–2820.CrossRefGoogle Scholar
Brandt, L., Van Biesebroeck, J. and Zhang, Y.. (2012) Creative accounting or creative destruction? Firm-level productivity growth in chinese manufacturing. Journal of Development Economics 97(2), 339–351.CrossRefGoogle Scholar
Brandt, L. and Zhu, X.. (2010). Accounting for China’s growth. IZA Discussion Paper, 1–14.CrossRefGoogle Scholar
Coyle, D., McHale, J., Bournakis, I. and Mei, J.-C.. (2024) Recent trends in firm-level total factor productivity in the UK: new measures, new puzzles. Economica 91(364), 1320–1348.CrossRefGoogle Scholar
De Loecker, J. (2011) Product differentiation, multiproduct firms, and estimating the impact of trade liberalization on productivity. Econometrica 79(5), 1407–1451.Google Scholar
Doraszelski, U. and Jaumandreu, J.. (2013) R&D and productivity: estimating endogenous productivity. The Review of Economic Studies 80(4), 1338–1383.CrossRefGoogle Scholar
Du, M., Boateng, A. and Newton, D.. (2016) The impact of state ownership, formal institutions and resource seeking on acquirers’ returns of Chinese M&A. Review of Quantitative Finance and Accounting 47(1), 159–178.CrossRefGoogle Scholar
Firpo, S., Fortin, N. M. and Lemieux, T.. (2009) Unconditional quantile regressions. Econometrica 77(3), 953–973.Google Scholar
Fortin, N., Lemieux, T. and Firpo, S.. (2011) Decomposition methods in economics. In: Handbook of Labor Economics, vol. 4, pp. 1–102. Elsevier.Google Scholar
Foster, L., Haltiwanger, J. C. and Krizan, C. J.. (2001) Aggregate productivity growth: Lessons from microeconomic evidence. In: New Developments in Productivity Analysis, pp. 303–372. University of Chicago Press.CrossRefGoogle Scholar
Gandhi, A., Navarro, S. and Rivers, D. A.. (2020) On the identification of gross output production functions. Journal of Political Economy 128(8), 2973–3016.CrossRefGoogle Scholar
Griliches, Z. and Mairesse, J.. (1998) Production functions: The search for identification. In  Strøm, S. (ed.), Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium. Cambridge: Cambridge University Press. pp. 169–203.Google Scholar
Griliches, Z. and Regev, H.. (1995) Firm productivity in Israeli industry 1979–1988. Journal of Econometrics 65(1), 175–203.CrossRefGoogle Scholar
Griliches, Z. and Ringstad, V.. (1971) Economies of scale and the form of the production function: An econometric study of Norwegian manufacturing establishment data. North-Holland Amsterdam: North-Holland Pub. Co.Google Scholar
Guariglia, A., Liu, X. and Song, L.. (2011) Internal finance and growth: Microeconometric evidence on Chinese firms. Journal of Development Economics 96(1), 79–94.CrossRefGoogle Scholar
Hall, R. E. (1988) The relation between price and marginal cost in US industry. Journal of Political Economy 96(5), 921–947.CrossRefGoogle Scholar
He, W. and Kyaw, N. A.. (2018) Capital structure adjustment behaviors of chinese listed companies: Evidence from the split share structure reform in China. Global Finance Journal 36, 14–22.CrossRefGoogle Scholar
Hoch, I. (1955) Estimation of production function parameters and testing for efficiency. Econometrica 23(3), 325–326.Google Scholar
Hoch, I. (1962) Estimation of production function parameters combining time-series and cross-section data. Econometrica: Journal of the Econometric Society 30(1), 34–53.CrossRefGoogle Scholar
Hou, Z., Jin, M. and Kumbhakar, S. C.. (2020) Productivity spillovers and human capital: a semiparametric varying coefficient approach. European Journal of Operational Research 287(1), 317–330.CrossRefGoogle Scholar
Hsieh, C.-T. and Song, Z. M.. (2015) Grasp the large, let go of the small: The transformation of the state sector in China. Brookings Papers on Economic Activity, 295–346.Google Scholar
Huang, M., Zhao, S. and Kumbhakar, S. C.. (2022) Decomposition of output, productivity and market structure changes. European Journal of Operational Research 303(1), 422–437.CrossRefGoogle Scholar
Jin, M., Zhao, S. and Kumbhakar, S. C.. (2019) Financial constraints and firm productivity: evidence from chinese manufacturing. European Journal of Operational Research 275(3), 1139–1156.CrossRefGoogle Scholar
Koenker, R., Bassett, G. J.. (1978) Regression quantiles. Econometrica 46(1), 33–50.CrossRefGoogle Scholar
Levinsohn, J. and Petrin, A.. (2003) Estimating production functions using inputs to control for unobservables. The review of economic studies 70(2), 317–341.CrossRefGoogle Scholar
Li, K., Lu, L., Mittoo, U. R. and Zhang, Z.. (2015) Board independence, ownership concentration and corporate performance–Chinese evidence. International Review of Financial Analysis 41, 162–175.CrossRefGoogle Scholar
Ma, M., Sun, X., Waisman, M. and Zhu, Y.. (2016) State ownership and market liberalization: Evidence from China’s domestic M&A market. Journal of International Money and Finance 69, 205–223.CrossRefGoogle Scholar
Malikov, E. and Zhao, S.. (2023) On the estimation of cross-firm productivity spillovers with an application to FDI. Review of Economics and Statistics 105(5), 1207–1223.CrossRefGoogle Scholar
Malikov, E., Zhao, S. and Kumbhakar, S. C.. (2020) Estimation of firm‐level productivity in the presence of exports: Evidence from China’s manufacturing. Journal of Applied Econometrics 35(4), 457–480.CrossRefGoogle Scholar
Melitz, M. J. and Polanec, S.. (2015) Dynamic Olley‐Pakes productivity decomposition with entry and exit. The RAND Journal of Economics 46(2), 362–375.CrossRefGoogle Scholar
Mundlak, Y. (1961) Empirical production function free of management bias. Journal of Farm Economics 43(1), 44–56.CrossRefGoogle Scholar
Olley, G. S. and Pakes, A.. (1996) The dynamics of productivity in the telecommunications equipment industry. Econometrica 64(6), 1263–1297.CrossRefGoogle Scholar
Perkins, D. H. and Rawski, T. G.. (2008) Forecasting China’s economic growth to 2025. In L. Brandt & T. G. Rawski (Eds.), China’s Great Economic Transformation Cambridge: Cambridge University Press. pp. 829–886.CrossRefGoogle Scholar
Petrin, A. and Levinsohn, J.. (2012) Measuring aggregate productivity growth using plant‐level data. The RAND Journal of Economics 43(4), 705–725.CrossRefGoogle Scholar
Rathnayake, D., Kassi, D. F., Louembe, P. A., Sun, G. and Ding, N.. (2019) Does corporate ownership matter for firm performance? Evidence from chinese stock exchanges. International Journal of Economics and Financial Issues 9(1), 96–107.Google Scholar
Solow, R. M. (1957) Technical change and the aggregate production function. The Review of Economics and Statistics 39(3), 312–320.CrossRefGoogle Scholar
Song, Z., Storesletten, K. and Zilibotti, F.. (2011) Growing like China. American Economic Review 101(1), 196–233.CrossRefGoogle Scholar
Wang, P. (2010) Restructuring to repair legitimacy–A contingency perspective. Corporate Governance: An International Review 18(1), 64–82.CrossRefGoogle Scholar
Wang, Y. and Yao, Y.. (2003) Sources of China’s economic growth 1952–1999: Incorporating human capital accumulation. China Economic Review 14(1), 32–52.CrossRefGoogle Scholar
Xie, M. (2023) Research on the International Promotion of Chinese Driven by Foreign Trade: Theory and Empirical Evidence. Beijing: People’s Publishing House.Google Scholar
Zhao, S., Qian, B. and Kumbhakar, S. C.. (2020) Estimation of productivity and markups with price dispersion: Evidence from Chinese manufacturing during economic transition. Southern Economic Journal 87(2), 666–699.CrossRefGoogle Scholar
Zhu, X. (2012) Understanding China’s growth: Past, present, and future. Journal of Economic Perspectives 26(4), 103–124.CrossRefGoogle Scholar