Research Article | | Peer-Reviewed

Measuring Total Factor Productivity in General Technical Progress Framework

Received: 7 October 2024     Accepted: 25 October 2024     Published: 12 November 2024
Views:       Downloads:
Abstract

The classical Solow's total factor productivity accounting assumes that technical progress is Hicks neutral, which is a special situation in the reality of world economy. This paper expands the setting of technical progress into general technical progress framework, which can cover Hicks neutral technical progress, Harrod neutral technical progress, Solow-neutral technical progress, and various factor-biased technical changes. According to the principle of statistical index number, this paper decomposes the output index into a total factor input index and a total factor productivity index, and adopts normalized CES production function with factor-augmenting technical progress to derive the calculation formulas of the total factor input index and the total factor productivity index, and constructs a new economic growth accounting system, and finds the counteraction and compensation mechanism for diminishing marginal returns. If the factor substitution elasticity is 1 or there is no technical progress bias and factor allocation bias, then the new accounting equation degenerates into the classic Solow growth accounting equation. The new accounting system can measure the influence of total factor input and total factor productivity to economic growth, but also can measure the influences of factor input intensity and factor allocation bias in the growth rate of total factor input, and the influences of technical progress intensity and technical progress bias in the growth rate of total factor productivity. Therefore it is more precise and accurate than classical method.

Published in American Journal of Theoretical and Applied Statistics (Volume 13, Issue 6)
DOI 10.11648/j.ajtas.20241306.11
Page(s) 181-192
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

General Technical Progress, Economic Growth, Total Factor Input Index, Total Factor Productivity Index

References
[1] Acemoglu D. Directed Technical Change [J]. Review of Economic Studies, 2002, 69(4): 781-810.
[2] Acemoglu D. Labor- and Capital-Augmenting Technical Change [J]. Joarnal of the European Economic Association. 2003, 1(1): 1-37.
[3] De La Grandville, Olivier. In Quest of the Slutsky Diamond. [J] The American Economic Review, 1989, 79(3), 468–481.
[4] Dong Zhiqing and Chen Rui. Does Total Factor Productivity Growth Result from Biased Technical Change? [J]. Chinese Journal of Management, 2014, 11(8): 1199-1207.
[5] Fei J C H, and Ranis G. Innovational Intensity and Factor Bias in the Theory of Growth [J]. International Economic Review, 1965, 5(2): 182-198.
[6] Hao Feng and Sheng Weiyan. Elasticity Estimation of Factor Substitution in China [J]. Statistical Research, 2014, 31(7): 12-21.
[7] Klump R, and Grandville O. Economic Growth and the Elasticity of Substitution: Two Theorems and Some Suggestions [J]. The American Economic Review, 2000, 90(1): 282-291.
[8] Klump R, McAdam P, and Willman A. Factor Substitution and Factor-augmenting Technical Progress in the United States: A Normalized Supply-side system Approach [J]. Review of Economics and Statistics, 2007, 89(1): 183–192.
[9] Klump R, and Preissler H. CES Production Functions and Economic Growth [J]. The Scandinavian Journal of Economics, 2000, 102(1): 41-56.
[10] Kmenta J. On Estimation of the CES Production Function [J]. International Economic Review, 1967, 8(2): 180-189.
[11] Lei Qinli. Biased Technical Progress, Capital Efficiency and the Change of Labor Share of Income [J]. Research on Economics and Management, 2012, 33(12): 15-24.
[12] Lei Qinli. The Measure and Analysis of Biased Technical Progress [J]. Statistical Research, 2013, 30(4): 83-91.
[13] Lei Qinli. Institutional Environment and Economic Growth: A Theoretical Model and Empirical Analysis for China [J]. Research on Economic and Management, 2017, 38(12): 3-16.
[14] Lei Qinli and Xu Jiachun. Biased Technological Progress, Biased Factor Allocation, and TFP Growth in China [J]. Statistical Research, 2015, 32(8): 10-16.
[15] Lei Qinli and Li Yuelin. Capital-Skill Complementarity and the Direction of skill Bias of Technological Progress [J]. Statistical Research, 2020, 37(3): 48-59. https://doi.org/10.19343/jcnki.11-1302 /e.2020.03.004
[16] Leon-ledesma M, McAdam P, and Willman A. Identifying the Elasticity of Substitution with Biased Technical Change [J]. American Economic Review, 2010. 100(4).1330-1357.
[17] Leon-ledesma M, McAdam P, and Willman A. Production Technology Estimates and Balanced Growth [J]. Oxford Bulletin of Economics and Statistics, 2015, 77(1): 40-65.
[18] OECD. Measuring Productivity - OECD Manual: Measurement of Aggregate and Industry-level Productivity Growth,[M] OECD Publishing, 16 Jul 2001, Paris,
[19] Papageorgiou C. and Saam M. Two-level CES Production Technology in the Solow and Diamond Growth Models [J]. Scandinavian Journal of Economics, 2008. 110(1), 119-143.
[20] Solow R M. Technical Change and the Aggregate Production Function [J]. The Review of Economics and Statistics, 1957, 39(8): 312-320.
[21] Yu Donghua and Chen Ruying. Capital Deepening, Factor Income Share and Total Factor Productivity— A Perspective from Biased Technical Change. Journal of Shandong University (Philosophy and Social Sciences), 2020(5): 107-117.
Cite This Article
  • APA Style

    Qinli, L. (2024). Measuring Total Factor Productivity in General Technical Progress Framework. American Journal of Theoretical and Applied Statistics, 13(6), 181-192. https://doi.org/10.11648/j.ajtas.20241306.11

    Copy | Download

    ACS Style

    Qinli, L. Measuring Total Factor Productivity in General Technical Progress Framework. Am. J. Theor. Appl. Stat. 2024, 13(6), 181-192. doi: 10.11648/j.ajtas.20241306.11

    Copy | Download

    AMA Style

    Qinli L. Measuring Total Factor Productivity in General Technical Progress Framework. Am J Theor Appl Stat. 2024;13(6):181-192. doi: 10.11648/j.ajtas.20241306.11

    Copy | Download

  • @article{10.11648/j.ajtas.20241306.11,
      author = {Lei Qinli},
      title = {Measuring Total Factor Productivity in General Technical Progress Framework
    },
      journal = {American Journal of Theoretical and Applied Statistics},
      volume = {13},
      number = {6},
      pages = {181-192},
      doi = {10.11648/j.ajtas.20241306.11},
      url = {https://doi.org/10.11648/j.ajtas.20241306.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20241306.11},
      abstract = {The classical Solow's total factor productivity accounting assumes that technical progress is Hicks neutral, which is a special situation in the reality of world economy. This paper expands the setting of technical progress into general technical progress framework, which can cover Hicks neutral technical progress, Harrod neutral technical progress, Solow-neutral technical progress, and various factor-biased technical changes. According to the principle of statistical index number, this paper decomposes the output index into a total factor input index and a total factor productivity index, and adopts normalized CES production function with factor-augmenting technical progress to derive the calculation formulas of the total factor input index and the total factor productivity index, and constructs a new economic growth accounting system, and finds the counteraction and compensation mechanism for diminishing marginal returns. If the factor substitution elasticity is 1 or there is no technical progress bias and factor allocation bias, then the new accounting equation degenerates into the classic Solow growth accounting equation. The new accounting system can measure the influence of total factor input and total factor productivity to economic growth, but also can measure the influences of factor input intensity and factor allocation bias in the growth rate of total factor input, and the influences of technical progress intensity and technical progress bias in the growth rate of total factor productivity. Therefore it is more precise and accurate than classical method.
    },
     year = {2024}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Measuring Total Factor Productivity in General Technical Progress Framework
    
    AU  - Lei Qinli
    Y1  - 2024/11/12
    PY  - 2024
    N1  - https://doi.org/10.11648/j.ajtas.20241306.11
    DO  - 10.11648/j.ajtas.20241306.11
    T2  - American Journal of Theoretical and Applied Statistics
    JF  - American Journal of Theoretical and Applied Statistics
    JO  - American Journal of Theoretical and Applied Statistics
    SP  - 181
    EP  - 192
    PB  - Science Publishing Group
    SN  - 2326-9006
    UR  - https://doi.org/10.11648/j.ajtas.20241306.11
    AB  - The classical Solow's total factor productivity accounting assumes that technical progress is Hicks neutral, which is a special situation in the reality of world economy. This paper expands the setting of technical progress into general technical progress framework, which can cover Hicks neutral technical progress, Harrod neutral technical progress, Solow-neutral technical progress, and various factor-biased technical changes. According to the principle of statistical index number, this paper decomposes the output index into a total factor input index and a total factor productivity index, and adopts normalized CES production function with factor-augmenting technical progress to derive the calculation formulas of the total factor input index and the total factor productivity index, and constructs a new economic growth accounting system, and finds the counteraction and compensation mechanism for diminishing marginal returns. If the factor substitution elasticity is 1 or there is no technical progress bias and factor allocation bias, then the new accounting equation degenerates into the classic Solow growth accounting equation. The new accounting system can measure the influence of total factor input and total factor productivity to economic growth, but also can measure the influences of factor input intensity and factor allocation bias in the growth rate of total factor input, and the influences of technical progress intensity and technical progress bias in the growth rate of total factor productivity. Therefore it is more precise and accurate than classical method.
    
    VL  - 13
    IS  - 6
    ER  - 

    Copy | Download

Author Information
  • Department of Economic Statistics, Guangzhou Huashang College, Guangzhou, China

  • Sections