Total Factor Productivity Contributions and Its Drivers: Endogenous Growth Accounting Approach

Farivar Tanha, Elaheh; Fathabadi, Mehdi; Mahmoodzadeh, Mahmood; Soufimajidpour, Masood

doi:10.22059/ier.2024.361041.1007747

Total Factor Productivity Contributions and Its Drivers: Endogenous Growth Accounting Approach

Document Type : Research Paper

Authors

Elaheh Farivar Tanha

Mehdi Fathabadi

Mahmood Mahmoodzadeh

Masood Soufimajidpour

Department of Economics, Fi.C., Islamic Azad University, Firoozkooh, Iran.

10.22059/ier.2024.361041.1007747

Abstract

This paper applies the endogenous growth accounting Approach to measure total factor productivity (TFP) and its Contributions in 121 four-digit ISIC code manufacturing industries between 2003 and 2019. The basic problem of most researchers is that they use the theory of exogenous growth to account for. This study uses the endogenous growth theory and the induced innovation theory to justify the utilization of varying coefficient production functions and decomposes total factor productivity into two parts: input-embedded and input-free productivities. Input-free productivity is divided into technical efficiency change and technological progress, while input-embedded productivity depends on the inputs used in the production function (labor and capital). Findings show that the average value-added growth is % 6.7%. The average ratio of input-embedded productivity in the industry's growth is about 21.8%. The contribution of capital-embedded productivity is -6.7%, and the contribution of labor-embedded productivity is 28.5%. Therefore, technology is more manifest in labor. The IFP-free productivity ratio is 1.4%, which is due to two factors: technical efficiency change and technological progress.

Keywords

Endogenous Growth Theory

Growth Accounting

Iran's Manufacturing Industries

Total Factor Productivity

Subjects

Econometrics

Acemoglu, D., & Angrist, J. (2000). How large are Human-Capital Externalities? Evidence from Compulsory Schooling Laws. NBER Macroeconomics Annual, 15, 9-59. Retrieved from https://www.journals.uchicago.edu/doi/pdf/10.1086/654403.

Aigner, D., Lovell, C. K., & Schmidt, P. (1977). Formulation and Estimation of Stochastic Frontier Production Function Models. Journal of Econometrics, 6(1), 21-37. Retrieved from https://doi.org/10.1016/0304-4076(77)90052-5.

Akcigit, U., & Ates, S. T. (2021). Ten Facts on Declining Business Dynamism and Lessons from Endogenous Growth Theory. American Economic Journal: Macroeconomics, 13(1), 257-98. Retrieved from https://www.aeaweb.org/articles/pdf/doi/10.1257/mac.20180449.

Albanese, G., de Blasio, G., & Locatelli, A. (2021). Does EU Regional Policy Promote Local TFP Growth? Evidence from the Italian Mezzogiorno. Papers in Regional Science, 100(2), 327-349. Retrieved from https://doi.org/10.1111/pirs.12574.

Bai, Y., & Zhang, J. (2010). Solving the Feldstein–Horioka Puzzle with Financial Frictions. Econometrica, 78(2), 603-632. Retrieved from https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=1525495.

Bandyopadhyay, D., King, I., & Tang, X. (2019). Human Capital Misallocation, Redistributive Policies, and TFP. Journal of Macroeconomics, 60, 309-324. Retrieved from https://espace.library.uq.edu.au/view/UQ:0d445e5/UQ0d445e5_OA.pdf.

Barro, R. J. (1999). Notes on Growth Accounting. Journal of Economic Growth, 4(2), 119-137. Retrieved from https://www.nber.org/system/files/working_papers/w6654/w6654.pdf.

Barro, R., & Sala-i-Martin, X. (2004). Economic Growth (2^nd Ed.). Cambridge, MA: The MIT Press.

Battese, G. E., & Coelli, T. J. (1992). Frontier Production Functions, Technical Efficiency, and Panel Data: with Application to Paddy Farmers in India. Journal of Productivity Analysis, 3(1), 153-169. Retrieved from https://www.academia.edu/download/50157079/download.pdf.

Deininger, K., & Jin, S. (2005). The Potential of Land Rental Markets in the Process of Economic Development: Evidence from China. Journal of Development Economics, 78(1), 241-270. Retrieved from https://doi.org/10.1016/j.jdeveco.2004.08.002.

Gallup, J. L., & Sachs, J. D. (2000). Agriculture, Climate, And Technology: Why are the Tropics Falling Behind? American Journal of Agricultural Economics, 82(3), 731-737. Retrieved from http://earthinstitute.columbia.edu/sitefiles/file/about/director/pubs/AmerJournAgrEcon0800.pdf.

Ghosh, T., & Parab, P. M. (2021). Assessing India’s Productivity Trends and Endogenous Growth: New Evidence from Technology, Human Capital, and Foreign Direct Investment. Economic Modelling, 97, 182-195. Retrieved from http://www.igidr.ac.in/pdf/publication/WP-2021-004.pdf.

Hac, L. D., & Nguyen Ngoc, T. (2021). Evaluating Endogenous Growth. Journal of Contemporary Issues in Business and Government, 27(2), 1966-1975. Retrieved from https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=3812409.

Hammond, G. W., & Thompson, E. C. (2008). Determinants of Income Growth in Metropolitan and Nonmetropolitan Labor Markets. American Journal of Agricultural Economics, 90(3), 783-793. Retrieved from https://www.jstor.org/stable/20492328.

Haouas, A., Ochi, A., & Labidi, M. A. (2024). Sources of Algeria's Economic Growth, 1979–2019: Augmented Growth Accounting Framework and Growth Regression Method. Regional Science Policy & Practice, 16(3), 1-19. Retrieved from https://www.sciencedirect.com/science/article/pii/S1757780224001501.

Hastie, T., & Tibshirani, R. (1993). Varying‐coefficient Models. Journal of the Royal Statistical Society: Series B (Methodological), 55(4), 757-779. Retrieved from https://www.jstor.org/stable/2345993.

Herrendorf, B., Rogerson, R., & Valentinyi, A. (2014). Growth and Structural Transformation. Handbook of Economic Growth, 2, 855-941. Retrieved from https://www.nber.org/system/files/working_papers/w18996/w18996.pdf.

Herzer, D. (2022). The Impact of Domestic and Foreign R&D on TFP in Developing Countries. World Development, 151, 1-20. Retrieved from https://doi.org/10.1016/j.worlddev.2021.105754.

Heyets, V., Skrypnychenko, M., & Shumska, S. (2019). Population Aging and Economic Dynamics in Ukraine: Models of Endogenous Growth Theory and Empirical Estimates of Current Challenges. 7th International Conference on Modeling, Development and Strategic Management of Economic Systems, 283-288. Kyiv: Atlantis Press. Retrieved from https://www.atlantis-press.com/article/125919230.pdf.

Hicks, J. (1963). The Theory of Wages. Berlin: Springer.

Hsiao, C. (2014). Analysis of Panel Data. Cambridge: Cambridge University Press.

Huber, P. J. (1973). Robust Regression: Asymptotics, Conjectures, and Monte Carlo. The Annals of Statistics, 1(5), 799-821. Retrieved from https://www.jstor.org/stable/2958283.

Jia, F., Ma, X., Xu, X., & Xie, L. (2020). The Differential Role of Manufacturing and Non-Manufacturing TFP Growth in Economic Growth. Structural Change and Economic Dynamics, 52, 174-183. Retrieved from https://doi.org/10.1016/j.strueco.2019.10.006.

Jin, S., Huang, J., Hu, R., & Rozelle, S. (2002). The Creation and Spread of Technology and Total Factor Productivity in China's Agriculture. American Journal of Agricultural Economics, 84(4), 916-930. Retrieved from https://www.jstor.org/stable/1244735.

Jones, C. I. (2002). Sources of US Economic Growth in a World of Ideas. American Economic Review, 92(1), 220-239. Retrieved from https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=72188.

Jorgenson, D. W., & Stiroh, K. J. (2000). US Economic Growth at the Industry Level. American Economic Review, 90(2), 161-167. Retrieved from https://www.jstor.org/stable/117212.

Kumbhakar, S. C., Denny, M., & Fuss, M. (2000). Estimation and Decomposition of Productivity Change When Production is not Efficient: A Panel Data Approach. Econometric Reviews, 19(4), 312-320. Retrieved from https://doi.org/10.1080/07474930008800481.

Li, D., Chen, J., & Gao, J. (2011). Non‐parametric Time‐Varying Coefficient Panel Data Models With Fixed Effects. The Econometrics Journal, 14(3), 387-408. Retrieved from https://www.jstor.org/stable/23116938.

Lucas Jr, R. E. (1988). On the Mechanics Of Economic Development. Journal of Monetary Economics, 22(1), 3-42. Retrieved from https://doi.org/10.1016/0304-3932(88)90168-7.

Meeusen, W., & van Den Broeck, J. (1977). Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error. International Economic Review, 18(2), 435-444. Retrieved from https://doi.org/10.2307/2525757.

Miller, D. J. (2002). Entropy-based Methods of Modeling Stochastic Production Efficiency. American Journal of Agricultural Economics, 84(5), 1264-1270. Retrieved from https://www.jstor.org/stable/1245057.

Pope, R. D., & LaFrance, J. T. (2013). Robust Error Specification in a Production System. American Journal of Agricultural Economics, 95(3), 669-684. https://www.jstor.org/stable/24475963.

Rawat, P. S., & Sharma, S. (2021). TFP Growth, Technical Efficiency, and Catch-Up Dynamics: Evidence from Indian Manufacturing. Economic Modelling, 103, 1-44. Retrieved from https://doi.org/10.1016/j.econmod.2021.105622.

Romer, P. M. (1986). Increasing Returns and Long-Run Growth. Journal of Political Economy, 94(5), 1002-1037. Retrieved from https://www.jstor.org/stable/1833190.

Shee, A., & Stefanou, S. E. (2015). Endogeneity Corrected Stochastic Production Frontier and Technical Efficiency. American Journal of Agricultural Economics, 97(3), 939-952. Retrieved from https://www.jstor.org/stable/24477087.

Sheng, Y., Ding, J., & Huang, J. (2019). The Relationship between Farm Size and Productivity in Agriculture: Evidence from Maize Production in Northern China. American Journal of Agricultural Economics, 101(3), 790-806. Retrieved from https://www.jstor.org/stable/48601965.

Sickles, R. C. (2005). Panel Estimators and the Identification of Firm-Specific Efficiency Levels in Parametric, Semiparametric, and Nonparametric Settings. Journal of Econometrics, 126(2), 305-334. Retrieved from https://doi.org/10.1016/j.jeconom.2004.05.004.

Solow, R. M. (1957). Technical Change and the Aggregate Production Function. The Review of Economics and Statistics, 39(3), 312-320. Retrieved from https://doi.org/10.2307/1926047.

Solow, R. M. (1956). A Contribution to the Theory of Economic Growth. The Quarterly Journal of Economics, 70(1), 65-94. Retrieved from https://doi.org/10.2307/1884513.

Swan, T. W. (1956). Economic Growth and Capital Accumulation. Economic Record, 32(2), 334-361. Retrieved from https://doi.org/10.1111/j.1475-4932.1956.tb00434.x.

Wang, X., Yamauchi, F., & Huang, J. (2016). Rising Wages, Mechanization, and the Substitution Between Capital and Labor: Evidence from Small Scale Farm System in China. Agricultural Economics, 47(3), 309-317. Retrieved from https://doi.org/10.1111/agec.12231.

Yang, J., Wang, H., Jin, S., Chen, K., Riedinger, J., & Peng, C. (2016). Migration, Local Off-Farm Employment, and Agricultural Production Efficiency: Evidence from China. Journal of Productivity Analysis, 45(3), 247-259. Retrieved from https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=2420562.

Zhang, C., Yao, Y., & Zhou, H. (2023). External Technology Dependence and Manufacturing TFP: Evidence from China. Research in International Business and Finance, 64, 1-20. Retrieved from https://doi.org/10.1016/j.ribaf.2023.101885.