The Dynamic Correlation Between Capital Deepening and Total Factor Productivity in China
School of Statistics, Huaqiao University
No.668 Jimei Avenue, Jimei District, Xiamen, Fujian 361021, China
The impact of capital deepening on total factor productivity (TFP) is a significant and controversial issue. Based on the calculation of relevant indicators, this study adopts a Bayesian time-varying parameter model, Bayesian quantile regression, and adaptive Bayesian quantile models for in-depth statistical analysis. TFP was found to have a complex non-linear structure, and physical and human capital deepening indicators show a significant upward trend. The deepening of physical capital has a negative impact on TFP, while the deepening of human capital has a positive impact. In the capital deepening structure, the level of TFP has been improved and its structure optimized. Primary human and non-production physical capital deepening has no significant effect on TFP, while secondary human capital deepening has some significant effects on TFP. Tertiary and productive human capital deepening of TFP present two different forms of significant effect: the influence coefficient of the former declines in the increasing quantile and the change is larger, while the latter has a stable negative impact. The results of this study provide insights in terms of the improvement of China’s productivity.
-  Y. Yuan, K. Jia, and X. Xhu, “Financial Competition, Relative Capital Deepening and Regional Economic Efficiency,” Statistical Research, Vol.29, No.3, pp. 45-53, 2012 (in Chinese).
-  Z. Sun and L. Liu, “Capital Deepening and Industrial Total Factor Productivity Growth: Empirical Evidence from Chinese Industry in the period 1990-2013,” Economic Review, Vol.2019, No.4, pp. 3-16, 2019 (in Chinese).
-  W. B. Li, “Structural transformation, capital deepening and productivity growth,” China Science and Technology Forum, Vol.42, pp. 123-128, 2011.
-  H. M. Wu, “Does the deepening of capital bring about the decline of labor productivity,” Financial Science, Vol.23, pp. 40-50, 2013.
-  S. L. Liu, “An analysis of the spillover effect of human capital,” Economic Science, Vol.45, pp. 81-92, 2004.
-  K. Männasoo, H. Hein, and R. Ruubel, “The contributions of human capital, R&D spending and convergence to total factor productivity growth,” Regional Studies, Vol.52, Issue 12, pp. 1598-1611, 2018.
-  G.-H. Peng, “Total Factor Productivity and Composition of Human Capital in Chinese Provinces,” China Industrial Economy, Vol.2007 No.2, pp. 52-59, 2007.
-  A. C. Harvey, “Forecasting, Structural Time Series Models and the Kalman Filter,” Cambridge University Press, 1989.
-  J. D. Hamilton, “Time Series Analysis,” Princeton University Press, 1994.
-  C. K. Carter and R. Kohn, “On Gibbs Sampling for State Space Models,” Biometrika, Vol.81, No.3, pp. 541-553, 1994.
-  S. Frühwirth-Schnatter, “Data augmentation and dynamic linear models,” J. of Time Series Analysis, Vol.15, Issue 2, pp. 183-202, 1994.
-  R. Koenker and G. Bassett, Jr., “Regression Quantiles,” Econometrica, Vol.46, No.1, pp. 33-50, 1978.
-  K. Yu and R. A. Moyeed, “Bayesian quantile regression,” Statistics & Probability Letters, Vol.54, Issue 4, pp. 437-447, 2001.
-  H. Kozumi and G. Kobayashi, “Gibbs Sampling Methods for Bayesian Quantile Regression,” J. of Statistical Computation and Simulation, Vol.81, Issue 11, pp. 1565-1578, 2011.
-  H. Zou, “The Adaptive Lasso and Its Oracle Properties,” J. of the American Statistical Association, Vol.101, Issue 476, pp. 1418-1429, 2006.
-  R. Alhamzawi, K. Yu, and D. F. Benoit, “Bayesian adaptive Lasso quantile regression,” Statistical Modelling, Vol.12, Issue 3, pp. 279-297, 2012.
-  W. Sun, J. G. Ibrahim, and F. Zou, “Genomewide Multiple-Loci Mapping in Experimental Crosses by Iterative Adaptive Penalized Regression,” Genetics, Vol.185, No.1, pp. 349-359, 2010.
-  R. W. Goldsmith, “A Perpetual Inventory of National Wealth,” National Bureau of Economic Research, “Studies in Income and Wealth, Vol.14: Conf. on Research in Income and Wealth,” pp. 5-73, National Bureau of Economic Research, 1951.
-  Y. Chen and X. Ji, “The Estimation of Residential Capital Stock and the Return on Capital Ration in Chinese Cities,” Statistical Research, Vol.35, No.10, pp. 3-14, 2018 (in Chinese).
-  R. E. Hall and C. I. Jones, “Why Do Some Countries Produce So Much More Output Per Worker Than Others?,” The Quarterly J. of Economics, Vol.114, No.1, pp. 83-116, 1999.
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