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Measuring productivity growth when technological change is biased--a new index and an application to UK agriculture

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  • Bailey, Alastair
  • Irz, Xavier
  • Balcombe, Kelvin

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  • Bailey, Alastair & Irz, Xavier & Balcombe, Kelvin, 2004. "Measuring productivity growth when technological change is biased--a new index and an application to UK agriculture," Agricultural Economics, Blackwell, vol. 31(2-3), pages 285-295, December.
    • Handle: RePEc:eee:agecon:v:31:y:2004:i:2-3:p:285-295
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    1. Nelson, Richard R & Pack, Howard, 1999. "The Asian Miracle and Modern Growth Theory," Economic Journal, Royal Economic Society, vol. 109(457), pages 416-436, July.
    2. Murgai, Rinku, 2001. "The Green Revolution and the productivity paradox: evidence from the Indian Punjab," Agricultural Economics, Blackwell, vol. 25(2-3), pages 199-209, September.
    3. Balcombe, Kelvin George & Bailey, Alastair & Morrison, Jamie & Rapsomanikis, George & Thirtle, Colin G., 2000. "Stochastic biases in technical change in South African agriculture," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 39(4), pages 1-9, December.
    4. Kelvin Balcombe & Alastair Bailey & Jamie Morrison, 2002. "Stochastic Biases in Technical Change in U.S. Agriculture: A Bootstrap Approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 50(1), pages 67-84, March.
    5. Dani Rodrik & Tain-Jy Chen, 1998. "TFPG Controversies, Institutions and Economic Performance in East Asia," International Economic Association Series, in: Yujiro Hayami & Masahiko Aoki (ed.), The Institutional Foundations of East Asian Economic Development, chapter 4, pages 79-105, Palgrave Macmillan.
    6. Diamond, Peter & McFadden, Daniel & Rodriguez, Miguel, 1978. "Measurement of the Elasticity of Factor Substitution and Bias of Technical Change," Histoy of Economic Thought Chapters, in: Fuss, Melvyn & McFadden, Daniel (ed.),Production Economics: A Dual Approach to Theory and Applications, volume 2, chapter 5, McMaster University Archive for the History of Economic Thought.
    7. Murgai, Rinku, 1999. "The green revolution and the productivity paradox : evidence from the Indian Punjab," Policy Research Working Paper Series 2234, The World Bank.
    8. J. Stephen Clark & Curtis E. Youngblood, 1992. "Estimating Duality Models with Biased Technical Change: A Time Series Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(2), pages 353-360.
    9. Chambers,Robert G., 1988. "Applied Production Analysis," Cambridge Books, Cambridge University Press, number 9780521314275.
    10. Ahearn, Mary Clare & Yee, Jet & Ball, V. Eldon & Nehring, Richard F., 1998. "Agricultural Productivity in the United States," Agricultural Information Bulletins 33687, United States Department of Agriculture, Economic Research Service.
    11. 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.
    12. David K. Lambert & J.S. Shonkwiler, 1995. "Factor Bias under Stochastic Technical Change," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(3), pages 578-590.
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    Cited by:

    1. Antonelli,Cristiano, 2013. "The economics of technological congruence," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201304, University of Turin.
    2. 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.
    3. Antonelli, Cristiano, 2016. "Technological congruence and the economic complexity of technological change," Structural Change and Economic Dynamics, Elsevier, vol. 38(C), pages 15-24.
    4. Marijn Verschelde & Michel Dumont & Bruno Merlevede & Glenn Rayp, 2014. "A constrained nonparametric regression analysis of factor-biased technical change and TFP growth at the firm level," Working Paper Research 266, National Bank of Belgium.
    5. Cristiano Antonelli & Giuseppe Scellato, 2015. "Firms size and directed technological change," Small Business Economics, Springer, vol. 44(1), pages 207-218, January.
    6. Cristiano Antonelli & Francesco Quatraro, 2014. "The effects of biased technological changes on total factor productivity: a rejoinder and new empirical evidence," The Journal of Technology Transfer, Springer, vol. 39(2), pages 281-299, April.
    7. T. Gries & R. Grundmann & I. Palnau & M. Redlin, 2017. "Innovations, growth and participation in advanced economies - a review of major concepts and findings," International Economics and Economic Policy, Springer, vol. 14(2), pages 293-351, April.
    8. Antonelli, Cristiano & Quatraro, Francesco, 2009. "Localized Technological Change and Efficiency Wages: the Evidence across European Regions," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 200907, University of Turin.
    9. James Bessen, 2008. "Accounting for Productivity Growth When Technical Change is Biased," Working Papers 0802, Research on Innovation.
    10. Antonelli, Cristiano & Scellato, Giuseppe, 2009. "The Localized Introduction Of Biased Technological Change And Productivity Growth. The Empirical Evidence In The Italian Manufacturing Industry," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 200908, University of Turin.
    11. Ito, Junichi, 2010. "Inter-regional difference of agricultural productivity in China: Distinction between biochemical and machinery technology," China Economic Review, Elsevier, vol. 21(3), pages 394-410, September.

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