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Technology Adoption, Capital Deepening, and International Productivity Differences

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  • Chaoran Chen

Abstract

Cross-country differences in capital intensity are larger in agriculture than in the non-agricultural sector. I build a two-sector model featuring technology adoption in agriculture. As the economy develops, farmers gradually adopt modern capital-intensive technologies to replace traditional labor-intensive technologies, as is observed in the U.S. historical data. Using this model, I find that technology adoption is key to explaining lower agricultural capital intensity and labor productivity in poor countries. By allowing for technology adoption, my model can explain 1.56-fold more in rich-poor agricultural productivity differences. I further show that land misallocation impedes technology adoption and magnifies productivity differences.

Suggested Citation

  • Chaoran Chen, 2017. "Technology Adoption, Capital Deepening, and International Productivity Differences," Working Papers tecipa-584, University of Toronto, Department of Economics.
  • Handle: RePEc:tor:tecipa:tecipa-584
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    References listed on IDEAS

    as
    1. Tasso Adamopoulos & Diego Restuccia, 2014. "The Size Distribution of Farms and International Productivity Differences," American Economic Review, American Economic Association, vol. 104(6), pages 1667-1697, June.
    2. Berthold Herrendorf & Christopher Herrington & Ákos Valentinyi, 2015. "Sectoral Technology and Structural Transformation," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(4), pages 104-133, October.
    3. Diego Restuccia, 2004. "Barriers to Capital Accumulation and Aggregate Total Factor Productivity," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(1), pages 225-238, February.
    4. Caselli, Francesco, 2005. "Accounting for Cross-Country Income Differences," Handbook of Economic Growth,in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 9, pages 679-741 Elsevier.
    5. Raul Santaeulalia-Llopis & Diego Restuccia, 2014. "Land Misallocation and Productivity," 2014 Meeting Papers 1314, Society for Economic Dynamics.
    6. Jones, Charles I., 1994. "Economic growth and the relative price of capital," Journal of Monetary Economics, Elsevier, vol. 34(3), pages 359-382, December.
    7. Robert C. Feenstra & Robert Inklaar & Marcel P. Timmer, 2015. "The Next Generation of the Penn World Table," American Economic Review, American Economic Association, vol. 105(10), pages 3150-3182, October.
    8. Douglas Gollin & Stephen L. Parente & Richard Rogerson, 2004. "Farm Work, Home Work, and International Productivity Differences," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 7(4), pages 827-850, October.
    9. Piyabha Kongsamut & Sergio Rebelo & Danyang Xie, 2001. "Beyond Balanced Growth," Review of Economic Studies, Oxford University Press, vol. 68(4), pages 869-882.
    10. Restuccia, Diego & Yang, Dennis Tao & Zhu, Xiaodong, 2008. "Agriculture and aggregate productivity: A quantitative cross-country analysis," Journal of Monetary Economics, Elsevier, vol. 55(2), pages 234-250, March.
    11. Whelan, Karl, 2002. "A Guide to U.S. Chain Aggregated NIPA Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 48(2), pages 217-233, June.
    12. Yang, Dennis Tao & Zhu, Xiaodong, 2013. "Modernization of agriculture and long-term growth," Journal of Monetary Economics, Elsevier, vol. 60(3), pages 367-382.
    13. Alvarez-Cuadrado, Francisco & Long, Ngo & Poschke, Markus, 2017. "Capital-labor substitution, structural change and growth," Theoretical Economics, Econometric Society, vol. 12(3), September.
    14. Berthold Herrendorf & Todd Schoellman, 2015. "Why is Measured Productivity so Low in Agriculture?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(4), pages 1003-1022, October.
    15. Dean Karlan & Robert Osei & Isaac Osei-Akoto & Christopher Udry, 2014. "Agricultural Decisions after Relaxing Credit and Risk Constraints," The Quarterly Journal of Economics, Oxford University Press, vol. 129(2), pages 597-652.
    16. Diego Restuccia & Tasso Adamopoulos, 2012. "Land Reform and Productivity: A Quantitative Analysis with Micro Data," 2012 Meeting Papers 1083, Society for Economic Dynamics.
    17. John W. Kendrick, 1961. "Productivity Trends in the United States," NBER Books, National Bureau of Economic Research, Inc, number kend61-1.
    18. Elhanan Helpman & Marc J. Melitz & Stephen R. Yeaple, 2004. "Export Versus FDI with Heterogeneous Firms," American Economic Review, American Economic Association, vol. 94(1), pages 300-316, March.
    19. Stephen Ayerst, 2016. "Idiosyncratic Distortions and Technology Adoption," Working Papers tecipa-571, University of Toronto, Department of Economics.
    20. Gary D. Hansen & Edward C. Prescott, 2002. "Malthus to Solow," American Economic Review, American Economic Association, vol. 92(4), pages 1205-1217, September.
    21. Douglas Gollin, 2002. "Getting Income Shares Right," Journal of Political Economy, University of Chicago Press, vol. 110(2), pages 458-474, April.
    22. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, Oxford University Press, vol. 124(4), pages 1403-1448.
    23. Tasso Adamopoulos & Loren Brandt & Jessica Leight & Diego Restuccia, 2017. "Misallocation, Selection and Productivity: A Quantitative Analysis with Panel Data from China," Working Papers tecipa-593, University of Toronto, Department of Economics.
    24. Tasso Adamopoulos, 2011. "Transportation Costs, Agricultural Productivity, And Cross‐Country Income Differences," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 52(2), pages 489-521, May.
    25. Ngai, L. Rachel, 2004. "Barriers and the transition to modern growth," Journal of Monetary Economics, Elsevier, vol. 51(7), pages 1353-1383, October.
    26. Diego Restuccia & Richard Rogerson, 2008. "Policy Distortions and Aggregate Productivity with Heterogeneous Plants," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(4), pages 707-720, October.
    27. repec:oup:qjecon:v:129:y:2014:i:2:p:939-993. is not listed on IDEAS
    28. Comin, D. & Hobijn, B., 2004. "Cross-country technology adoption: making the theories face the facts," Journal of Monetary Economics, Elsevier, vol. 51(1), pages 39-83, January.
    29. Diego Comin & Bart Hobijn, 2010. "An Exploration of Technology Diffusion," American Economic Review, American Economic Association, vol. 100(5), pages 2031-2059, December.
    30. Robert E. Hall & Charles I. Jones, 1999. "Why do Some Countries Produce So Much More Output Per Worker than Others?," The Quarterly Journal of Economics, Oxford University Press, vol. 114(1), pages 83-116.
    31. Markus Goldstein & Christopher Udry, 2008. "The Profits of Power: Land Rights and Agricultural Investment in Ghana," Journal of Political Economy, University of Chicago Press, vol. 116(6), pages 981-1022, December.
    32. Akos Valentinyi & Berthold Herrendorf, 2008. "Measuring Factor Income Shares at the Sector Level," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(4), pages 820-835, October.
    33. Gollin, Douglas & Parente, Stephen L. & Rogerson, Richard, 2007. "The food problem and the evolution of international income levels," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1230-1255, May.
    34. Larson, David F. & Butzer, Rita & Mundlak, Yair & Crego, Al, 2000. "A Cross-Country Database for Sector Investment and Capital," World Bank Economic Review, World Bank Group, vol. 14(2), pages 371-391, May.
    35. Marcel P. Timmer & Erik Dietzenbacher & Bart Los & Robert Stehrer & Gaaitzen J. Vries, 2015. "An Illustrated User Guide to the World Input–Output Database: the Case of Global Automotive Production," Review of International Economics, Wiley Blackwell, vol. 23(3), pages 575-605, August.
    36. Chaoran Chen, 2017. "Untitled Land, Occupational Choice, and Agricultural Productivity," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(4), pages 91-121, October.
    37. Paula Bustos & Bruno Caprettini & Jacopo Ponticelli, 2016. "Agricultural Productivity and Structural Transformation: Evidence from Brazil," American Economic Review, American Economic Association, vol. 106(6), pages 1320-1365, June.
    38. Restuccia, Diego & Urrutia, Carlos, 2001. "Relative prices and investment rates," Journal of Monetary Economics, Elsevier, vol. 47(1), pages 93-121, February.
    39. Elisa Keller & Julieta Caunedo, 2016. "Capital Obsolescence and Agricultural Productivity," 2016 Meeting Papers 686, Society for Economic Dynamics.
    40. 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.
    41. Michael Gort & Jeremy Greenwood & Peter Rupert, 1999. "Measuring the Rate of Technological Progress in Structures," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 2(1), pages 207-230, January.
    42. Charles Gottlieb & Jan Grobovsek, 2015. "Communal Land and Agricultural Productivity," 2015 Meeting Papers 1513, Society for Economic Dynamics.
    43. Joseph P. Kaboski & Robert M. Townsend, 2012. "The Impact of Credit on Village Economies," American Economic Journal: Applied Economics, American Economic Association, vol. 4(2), pages 98-133, April.
    44. Chang-Tai Hsieh & Peter J. Klenow, 2007. "Relative Prices and Relative Prosperity," American Economic Review, American Economic Association, vol. 97(3), pages 562-585, June.
    45. Douglas Gollin & David Lagakos & Michael E. Waugh, 2014. "The Agricultural Productivity Gap," The Quarterly Journal of Economics, Oxford University Press, vol. 129(2), pages 939-993.
    46. Caselli, Francesco, 2005. "Accounting for cross-country income differences," LSE Research Online Documents on Economics 3567, London School of Economics and Political Science, LSE Library.
    47. Parente, Stephen L & Prescott, Edward C, 1994. "Barriers to Technology Adoption and Development," Journal of Political Economy, University of Chicago Press, vol. 102(2), pages 298-321, April.
    48. Gollin, Douglas & Rogerson, Richard, 2014. "Productivity, transport costs and subsistence agriculture," Journal of Development Economics, Elsevier, vol. 107(C), pages 38-48.
    49. David Lagakos & Michael E. Waugh, 2013. "Selection, Agriculture, and Cross-Country Productivity Differences," American Economic Review, American Economic Association, vol. 103(2), pages 948-980, April.
    50. Pingali, Prabhu, 2007. "Agricultural Mechanization: Adoption Patterns and Economic Impact," Handbook of Agricultural Economics, Elsevier.
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    Cited by:

    1. Chaoran Chen & Diego Restuccia & Raul Santaeulalia-Llopis, 2017. "The Effects of Land Markets on Resource Allocation and Agricultural Productivity," Working Papers tecipa-592, University of Toronto, Department of Economics.
    2. Cesar Blanco & Xavier Raurich, 2018. "Agricultural Composition, Structural Change and Labor Productivity," 2018 Meeting Papers 772, Society for Economic Dynamics.

    More about this item

    Keywords

    Agricultural Productivity; Technology Adoption; Capital Intensity; Misallocation.;

    JEL classification:

    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services

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