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TFP and Possibility of Convergence in OECD Countries: The 2000–2012 Period

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Empirical Studies on Economics of Innovation, Public Economics and Management

Part of the book series: Eurasian Studies in Business and Economics ((EBES,volume 6))

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Abstract

This study discusses efficiency, productivity, and the existence of convergence in 34 OECD countries between 2000 and 2012. Physical capital per worker and human capital per worker are used as inputs to determine total factor productivity while gross domestic product per worker is used as the output. Analysis of productivity by using the Malmquist Index indicates that productivity was positive but increased less than 1% at the end of the period. Panel regression estimation is used for standard deviations of convergence and to determine beta convergence. However, the convergence effect of Total Factor Productivity values could not be determined. Similar results are reported for Sigma convergence.

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Notes

  1. 1.

    The value of β coefficient is calculated using Barro et al. (1991) and Barro and Sala-i-Martin’s (1992) approach. \( \frac{1}{T} \log \left({y}_i/{y}_{i,t-T}\right)=x*+ \log \left({{\widehat{y}}^{*}}_i/{\widehat{y}}_{i,t-T}\right)\;\left(1-{e}^{-\beta T}\right)/T+{u}_{it} \)

    In this equation, i represents economy, t represents time, yit represents output per capita, x* represents the steady state grow rate per capita, \( {\widehat{y}}_{it} \) is output per active labour, \( {\widehat{y}}_{it}^{*} \) is steady–state output level per active labour, and T is the observation interval. Inspired by this equation, we have achieved some results by adding other variables to the panel regression.

References

  • Abramovitz, M. (1986). Catching up, forging ahead, and falling behind. Journal of Economic History, 46(2), 385–406.

    Article  Google Scholar 

  • Barro, R. J., & Sala-i-Martin, X. (1992). Convergence. Journal of Political Economy, 100(2), 223–251.

    Article  Google Scholar 

  • Barro, R. J., & Sala-i-Martin, X. (1995). Economic growth. Cambridge, MA: MIT Press.

    Google Scholar 

  • Barro, R. J., Sala-i-Martin, X., Blanchard, O. J., & Hall, R. E. (1991). Convergence across states and regions. Brookings Papers on Economic Activity, 1991(1), 107–182.

    Article  Google Scholar 

  • Cass, D. (1965). Optimum growth in an aggregative model of capital accumulation. Review of Economic Studies, 32, 233–240.

    Article  Google Scholar 

  • Caves, D. W., Christensen, L. R., & Diewert, W. E. (1982). The economic theory of index numbers and the measurement of input, output, and productivity. Econometrica, 50(6), 1393–1414.

    Article  Google Scholar 

  • Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429–444.

    Article  Google Scholar 

  • Chen, P. C., & Yu, M. M. (2014). Total factor productivity growth and directions of technical change bias: Evidence from 99 OECD and non-OECD countries. Annals of Operations Research, 214(1), 143–165.

    Article  Google Scholar 

  • Cooper, W. W., Seiford, L. M., & Zhu, J. (Eds.). (2011). Handbook on data envelopment analysis (2nd ed.). New York: Springer.

    Google Scholar 

  • Danquah, M., Enrique, M. B., & Bazoumana, O. (2014). TFP growth and its determinants: A model averaging approach. Empirical Economics, 47(1), 227–251.

    Article  Google Scholar 

  • Debreu, G. (1951). The coefficient of resource utilization. Econometrica, 19(3), 273–292.

    Article  Google Scholar 

  • Dowrick, S., & Nguyen, D. T. (1989). OECD comparative economic growth 1950-85: Catch-up and convergence. The American Economic Review, 79(5), 1010–1030.

    Google Scholar 

  • Färe, R. (1988). Fundamentals of production theory. Heidelberg: Springer.

    Book  Google Scholar 

  • Färe, R., Grosskopf, S., Lindgren, B., & Roos, P. (1992). Productivity changes in Swedish pharmacies 1980–1989: A non-parametric Malmquist approach. Journal of Productivity Analysis, 3(1–2), 85–101.

    Article  Google Scholar 

  • Färe, R., Grosskopf, S., Lindgren, B., & Roos, P. (1994a). Productivity developments in Swedish hospitals: A Malmquist output index approach. In A. Charnes, W. W. Cooper, A. Y. Lewin, & L. M. Seiford (Eds.), Data envelopment analysis: Theory, methodology and applications (pp. 253–272). Norwell, MA: Springer.

    Chapter  Google Scholar 

  • Färe, R., Grosskopf, S., Norris, M., & Zhang, Z. (1994b). Productivity growth, technical progress, and efficiency change in industrialized countries. The American Economic Review, 84(1), 66–83.

    Google Scholar 

  • Färe, R., Grosskopf, S., & Dimitri, M. (2006). Productivity growth and convergence in the European Union. Journal of Productivity Analysis, 25(1), 111–141.

    Article  Google Scholar 

  • Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society, 120(3), 253–281.

    Article  Google Scholar 

  • Koopmans, T. C. (1951). An analysis of production as an efficient combination of activities. In T. C. Koopmans (Ed.), Activity analysis of production and allocation (pp. 33–97). New York: Wiley.

    Google Scholar 

  • Koopmans, T. C. (1965). On the concept of optimal economic growth in The Econometric Approach to Development Planning. Amsterdam: North Holland.

    Google Scholar 

  • Krüger, J. J. (2003). The global trends of total factor productivity: Evidence from the non-parametric Malmquist index approach. Oxford Economic Papers, 55(2), 265–286.

    Article  Google Scholar 

  • Kumar, S., & Russell, R. R. (2002). Technological change, technological catch-up, and capital deepening: Relative contributions to growth and convergence. The American Economic Review, 92(3), 527–548.

    Article  Google Scholar 

  • Lee, J. (2009). Trade, FDI, and productivity convergence: A dynamic panel data approach in 25 countries. Japan and the World Economy, 21(3), 226–238.

    Article  Google Scholar 

  • Madsen, J. B. (2007). Technology spillover through trade and TFP convergence: 135 years of evidence for the OECD countries. Journal of International Economics, 72(2), 464–480.

    Article  Google Scholar 

  • Malmquist, S. (1953). Index numbers and indifference surfaces. Trabajos de Estatistica, 4, 209–242.

    Article  Google Scholar 

  • Mankiw, N. G., Romer, D., & Weil, D. N. (1992). A contribution to the empirics of economic growth. Quarterly Journal of Economics, 107(2), 407–437.

    Article  Google Scholar 

  • Margaritis, D., Färe, R., & Grosskopf, S. (2007). Productivity, convergence and policy: A study of OECD countries and industries. Journal of Productivity Analysis, 28(1-2), 87–105.

    Article  Google Scholar 

  • Maudos, J., Pastor, J. M., & Serrano, L. (2000). Convergence in OECD countries: Technical change, efficiency and productivity. Applied Economics, 32(6), 757–765.

    Article  Google Scholar 

  • Rivera-Batiz, L. A., & Romer, P. M. (1991). International trade with endogenous technological change. European Economic Review, 35(4), 971–1001.

    Article  Google Scholar 

  • Romer, P. M. (1986). Increasing returns and long run growth. Journal of Political Economy, 94(5), 1002–1037.

    Article  Google Scholar 

  • Sala-i-Martin, X. (1996a). Regional cohesion: Evidence and theories of regional growth and convergence. European Economic Review, 40(6), 1325–1352.

    Article  Google Scholar 

  • Sala-i-Martin, X. (1996b). The classical approach to convergence analysis. The Economic Journal, 106(437), 1019–1036.

    Article  Google Scholar 

  • Shestalova, V. (2003). Sequential Malmquist indices of productivity growth: An application to OECD industrial activities. Journal of Productivity Analysis, 19, 211–226.

    Article  Google Scholar 

  • Solow, R. M. (1956). A contribution to the theory of economic growth. Journal of Economics, 70(1), 65–94.

    Google Scholar 

  • Sondermann, D. (2014). Productivity in the euro area: Any evidence of convergence? Empirical Economics., 47(3), 999–1027.

    Article  Google Scholar 

  • Swan, T. W. (1956). Economic growth and capital accumulation. Economic Record, 32(2), 334–361.

    Article  Google Scholar 

  • Yörük, B. K., & Zaim, O. (2005). Productivity growth in OECD countries: A comparison with Malmquist indices. Journal of Comparative Economics, 33(2), 401–420.

    Article  Google Scholar 

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Correspondence to Ali Kabasakal .

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Kutlar, A., Kabasakal, A., Gulmez, A. (2017). TFP and Possibility of Convergence in OECD Countries: The 2000–2012 Period. In: Bilgin, M., Danis, H., Demir, E., Can, U. (eds) Empirical Studies on Economics of Innovation, Public Economics and Management . Eurasian Studies in Business and Economics, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-319-50164-2_15

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