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Productivity and technical change: the case of Taiwan

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  • Rolf Fare
  • Shawna Grosskopf
  • Wen-Fu Lee

Abstract

This paper analyses productivity growth in 16 of Taiwan's manufacturing industries during the period 1978-1992. The non-parametric Data Envelopment Analysis approach is used to compute Malmquist productivity indexes. These are decomposed into efficiency change and technical change. The latter is further decomposed into an output bias, an input bias and a magnitude component. In addition, the direction of input bias is identified. Empirical results indicate that the sector's TFP increased at a rate of 2.89% per annum, which could be ascribed to a technical progress (2.56%) and an efficiency improvement (0.33%).

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  • 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.
    • Handle: RePEc:taf:applec:v:33:y:2001:i:15:p:1911-1925
    DOI: 10.1080/00036840010018711
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    1. Binswanger, Hans P, 1974. "The Measurement of Technical Change Biases with Many Factors of Production," American Economic Review, American Economic Association, vol. 64(6), pages 964-976, December.
    2. Diewert, W E, 1980. "Capital and the Theory of Productivity Measurement," American Economic Review, American Economic Association, vol. 70(2), pages 260-267, May.
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    Cited by:

    1. Diogo Cunha Ferreira & Rui Cunha Marques, 2016. "Malmquist and Hicks–Moorsteen Productivity Indexes for Clusters Performance Evaluation," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(05), pages 1015-1053, September.
    2. Charles-Henri DI MARIA & Chiara PERONI, 2012. "Unit labor cost and productivity recovery under non neutral technical change," LEO Working Papers / DR LEO 1734, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    3. Kumar, Surender, 2004. "Decomposition of total factor productivity growth: A regional analysis of Indian industrial manufacturing growth," Working Papers 04/22, National Institute of Public Finance and Policy.
    4. 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.
    5. Yuxin Meng & Lu Liu & Zhenlong Xu & Wenwen Gong & Guanpeng Yan, 2022. "Research on the Heterogeneity of Green Biased Technology Progress in Chinese Industries: Decomposition Index Analysis Based on the Slacks-based measure integrating," Journal of Economic Analysis, Anser Press, vol. 1(2), pages 17-34, December.
    6. Ming‐Miin Yu, 2008. "Productivity Change and the Effects of the Enhancement of the Mass Transportation Programme on the Bus Transit System in Taiwan," Transport Reviews, Taylor & Francis Journals, vol. 28(5), pages 573-592, January.
    7. 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.
    8. Charles-Henri Dimaria, 2012. "Cannon Was Right But Incomplete: Frankel Was A Neglected Early Contribution To Growth Theory," Working Papers halshs-00826519, HAL.
    9. Maria Bonilla-Musoles & Leandro Garcia-Menendez & Ma Luisa Marti-Selva, 2007. "Efficiency in the eurobond market: application of nonparametric techniques," Applied Financial Economics, Taylor & Francis Journals, vol. 17(6), pages 431-444.
    10. repec:ind:nipfwp:22 is not listed on IDEAS
    11. Nguepi Tsafack Elvis & Hua Cheng & Buregeya Ingabire Providence, 2022. "The Illustrative Understanding on the Informal Sector and Its Influence in Firm Productivity in Sub-Saharan Africa (SSA): Evidence from Cameroon," Sustainability, MDPI, vol. 14(15), pages 1-22, August.
    12. Galanopoulos, Konstantinos & Lindberg, Emma & Surry, Yves R. & Mattas, Konstadinos, 2006. "Agricultural productivity growth in the Mediterranean and tests of convergence among countries," 98th Seminar, June 29-July 2, 2006, Chania, Crete, Greece 10101, European Association of Agricultural Economists.
    13. Magdalena Kapelko & Alfons Oude Lansink, 2015. "An international comparison of productivity change in the textile and clothing industry: a bootstrapped Malmquist index approach," Empirical Economics, Springer, vol. 48(4), pages 1499-1523, June.
    14. Sun, Chia-Hung, 2004. "Decomposing productivity growth in Taiwan's manufacturing, 1981-1999," Journal of Asian Economics, Elsevier, vol. 15(4), pages 759-776, August.
    15. Ky‐hyang Yuhn & Seung R. Park, 2010. "Information Technology, Organizational Transformation and Productivity Growth: An Examination of the Brynjolfsson–Hitt Proposition," Asian Economic Journal, East Asian Economic Association, vol. 24(1), pages 87-108, March.
    16. Kortelainen, Mika, 2008. "Dynamic environmental performance analysis: A Malmquist index approach," Ecological Economics, Elsevier, vol. 64(4), pages 701-715, February.
    17. Xiyue Zhang & Fangcheng Sun & Huaizu Wang & Yi Qu, 2020. "Green Biased Technical Change in Terms of Industrial Water Resources in China’s Yangtze River Economic Belt," IJERPH, MDPI, vol. 17(8), pages 1-20, April.
    18. Wong, Lawrence, 2001. "Measuring technological change in the U.S. motor carrier industry," Research in Transportation Economics, Elsevier, vol. 6(1), pages 25-54, January.
    19. Oh Sang Kwon & Hyunok Lee, 2004. "Productivity improvement in Korean rice farming: parametric and non‐parametric analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), pages 323-346, June.
    20. Zhao, Wei & Liu, Ling & Zhao, Ting, 2010. "The contribution of outward direct investment to productivity changes within China, 1991-2007," Journal of International Management, Elsevier, vol. 16(2), pages 121-130, June.
    21. 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).
    22. Briec, Walter & Peypoch, Nicolas & Ratsimbanierana, Hermann, 2011. "Productivity growth and biased technological change in hydroelectric dams," Energy Economics, Elsevier, vol. 33(5), pages 853-858, September.
    23. repec:npf:wpaper:22 is not listed on IDEAS
    24. Yang, Chih-Hai, 2006. "Is innovation the story of Taiwan's economic growth?," Journal of Asian Economics, Elsevier, vol. 17(5), pages 867-878, November.

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    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • D5 - Microeconomics - - General Equilibrium and Disequilibrium
    • D9 - Microeconomics - - Micro-Based Behavioral Economics

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