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Total factor productivity growth and directions of technical change bias: evidence from 99 OECD and non-OECD countries

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  • Po-Chi Chen
  • Ming-Miin Yu

Abstract

Based on data of 99 nations during 1991–2003, the Malmquist index and its composition of technical change and efficiency change are estimated. In particular, the hypothesis of neutral technology is released to divide technology into the magnitude of the shift in the world production frontier and input-biased technology, and to show that in order to gain more benefit or not to lose so much benefit from technology change, it is important for countries to coordinate their choice of input mix with the directions of technology bias if their technical changes are biased. The results indicate that both OECD and non-OECD countries tend to show capital-using/labor-saving, capital-using/energy-saving and energy-using/labor-saving technical change bias over the entire period. The production pattern of a majority of countries is shown to have been able to take advantage of their technological innovations. Copyright Springer Science+Business Media, LLC 2014

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  • Po-Chi Chen & Ming-Miin Yu, 2014. "Total factor productivity growth and directions of technical change bias: evidence from 99 OECD and non-OECD countries," Annals of Operations Research, Springer, vol. 214(1), pages 143-165, March.
    • Handle: RePEc:spr:annopr:v:214:y:2014:i:1:p:143-165:10.1007/s10479-012-1087-4
    DOI: 10.1007/s10479-012-1087-4
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    1. Dimitri Margaritis & Frank Scrimgeour & Michael Cameron & John Tressler, 2005. "Productivity and Economic Growth in Australia, New Zealand and Ireland," Agenda - A Journal of Policy Analysis and Reform, Australian National University, College of Business and Economics, School of Economics, vol. 12(4), pages 291-308.
    2. Joan Robinson, 1938. "The Classification of Inventions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 5(2), pages 139-142.
    3. Barros, Carlos Pestana & Weber, William L., 2009. "Productivity growth and biased technological change in UK airports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(4), pages 642-653, July.
    4. Jens Kaüger & Uwe Cantner & Horst Hanusch, 2000. "Total factor productivity, the east Asian miracle, and the world production frontier," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 136(1), pages 111-136, March.
    5. Moro, Alessio, 2012. "Biased Technical Change, Intermediate Goods, And Total Factor Productivity," Macroeconomic Dynamics, Cambridge University Press, vol. 16(2), pages 184-203, April.
    6. Shawna Grosskopf & Sharmistha Self, 2006. "Factor Accumulation Or Tfp? A Reassessment Of Growth In Southeast Asia," Pacific Economic Review, Wiley Blackwell, vol. 11(1), pages 39-58, February.
    7. Raab, Raymond L. & Feroz, Ehsan Habib, 2007. "A productivity growth accounting approach to the ranking of developing and developed nations," The International Journal of Accounting, Elsevier, vol. 42(4), pages 396-415, December.
    8. Daron Acemoglu, 1998. "Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1055-1089.
    9. Cristiano Antonelli & Francesco Quatraro, 2010. "The effects of biased technological change on total factor productivity: empirical evidence from a sample of OECD countries," The Journal of Technology Transfer, Springer, vol. 35(4), pages 361-383, August.
    10. Weber, William L. & Domazlicky, Bruce R., 1999. "Total factor productivity growth in manufacturing: a regional approach using linear programming," Regional Science and Urban Economics, Elsevier, vol. 29(1), pages 105-122, January.
    11. Dimitris Margaritis & Rolf Färe & Shawna Grosskopf, 2007. "Productivity, convergence and policy: a study of OECD countries and industries," Journal of Productivity Analysis, Springer, vol. 28(1), pages 87-105, October.
    12. Wang, Chunhua, 2007. "Decomposing energy productivity change: A distance function approach," Energy, Elsevier, vol. 32(8), pages 1326-1333.
    13. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    14. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 1997. "Long-Run Implications of Investment-Specific Technological Change," American Economic Review, American Economic Association, vol. 87(3), pages 342-362, June.
    15. Costello, Donna M, 1993. "A Cross-Country, Cross-Industry Comparison of Productivity Growth," Journal of Political Economy, University of Chicago Press, vol. 101(2), pages 207-222, April.
    16. Rolf Färe & Shawna Grosskopf & Dimitri Margaritis, 2006. "Productivity Growth and Convergence in the European Union," Journal of Productivity Analysis, Springer, vol. 25(1), pages 111-141, April.
    17. Subodh Kumar & R. Robert Russell, 2002. "Technological Change, Technological Catch-up, and Capital Deepening: Relative Contributions to Growth and Convergence," American Economic Review, American Economic Association, vol. 92(3), pages 527-548, June.
    18. Daniel J. Henderson & R. Robert Russell, 2005. "Human Capital And Convergence: A Production-Frontier Approach ," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(4), pages 1167-1205, November.
    19. Dietmar Lindenberger, 2003. "Service Production Functions," Journal of Economics, Springer, vol. 80(2), pages 127-142, October.
    20. E. Grifell-Tatjé & C.A.K. Lovell, 1997. "A DEA-based analysis of productivity change and intertemporal managerial performance," Annals of Operations Research, Springer, vol. 73(0), pages 177-189, October.
    21. Alwyn Young, 1995. "The Tyranny of Numbers: Confronting the Statistical Realities of the East Asian Growth Experience," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(3), pages 641-680.
    22. Rolf Fare & Shawna Grosskopf & Wen-Fu Lee, 2001. "Productivity and technical change: the case of Taiwan," Applied Economics, Taylor & Francis Journals, vol. 33(15), pages 1911-1925.
    23. Felipe, Jesus & McCombie, J. S. L., 2001. "Biased Technical Change, Growth Accounting, and the Conundrum of the East Asian Miracle," Journal of Comparative Economics, Elsevier, vol. 29(3), pages 542-565, September.
    24. Luis R. Murillo-Zamorano, 2005. "The Role of Energy in Productivity Growth: A Controversial Issue?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 69-88.
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    3. Alexander Yu. Apokin & Irina Ipatova, 2016. "How R&D Expenditures Influence Total Factor Productivity and Technical Efficiency?," HSE Working papers WP BRP 128/EC/2016, National Research University Higher School of Economics.
    4. Yu Jiang & Na Wang, 2022. "Impact of Biased Technological Change on High-Quality Economic Development of China’s Forestry: Based on Mediating Effect of Industrial Structure Upgrading," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    5. Martin Boďa & Mariana Považanová, 2020. "Productivity patterns in Europe: adaptation of the Malmquist index to measuring group performance and productivity change over time," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(4), pages 949-989, November.
    6. Shuai Zhang & Xiaoman Zhao & Changwei Yuan & Xiu Wang, 2020. "Technological Bias and Its Influencing Factors in Sustainable Development of China’s Transportation," Sustainability, MDPI, vol. 12(14), pages 1-26, July.
    7. Weijiang Liu & Mingze Du, 2021. "Is Technological Progress Selective for Multiple Pollutant Emissions?," IJERPH, MDPI, vol. 18(17), pages 1-17, September.
    8. Vu, Khuong & Hartley, Kris, 2022. "Sources of transport sector labor productivity performance in industrialized countries: Insights from a decomposition analysis," Transport Policy, Elsevier, vol. 129(C), pages 204-218.
    9. Konstantinos Petridis & Alexander Chatzigeorgiou & Emmanouil Stiakakis, 2016. "A spatiotemporal Data Envelopment Analysis (S-T DEA) approach: the need to assess evolving units," Annals of Operations Research, Springer, vol. 238(1), pages 475-496, March.
    10. Qingyan Zhu, 2023. "How Will the Relationship between Technological Innovation and Green Total Factor Productivity Change under the Influence of Service-Oriented Upgrading of Industrial Structure?," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    11. Ming-Miin Yu & Li-Hsueh Chen, 2020. "A meta-frontier network data envelopment analysis approach for the measurement of technological bias with network production structure," Annals of Operations Research, Springer, vol. 287(1), pages 495-514, April.
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    13. Zhiyang Shen & Kristiaan Kerstens & Tomas Baležentis, 2023. "An environmental Luenberger–Hicks–Moorsteen total factor productivity indicator: empirical analysis considering undesirable outputs either as inputs or outputs, and attention for infeasibilities," Post-Print hal-04273656, HAL.
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    17. Yan, Siqi & Peng, Jianchao & Wu, Qun, 2020. "Exploring the non-linear effects of city size on urban industrial land use efficiency: A spatial econometric analysis of cities in eastern China," Land Use Policy, Elsevier, vol. 99(C).
    18. Konstantinos Petridis & Alexander Chatzigeorgiou & Emmanouil Stiakakis, 2016. "A spatiotemporal Data Envelopment Analysis (S-T DEA) approach: the need to assess evolving units," Annals of Operations Research, Springer, vol. 238(1), pages 475-496, March.
    19. Kerstin Hotte & Melline Somers & Angelos Theodorakopoulos, 2022. "Technology and jobs: A systematic literature review," Papers 2204.01296, arXiv.org.

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