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Capital Use Intensity and Productivity Biases

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  • Andersen, Matthew A.
  • Alston, Julian M.
  • Pardey, Philip G.

Abstract

Measures of productivity growth are often pro-cyclical. This study focuses on measurement errors in capital inputs, associated with unobserved variations in capital utilization rates, as an explanation for the existence of pro-cyclical patterns in measures of agricultural productivity. Recently constructed national and state-specific indexes of inputs, outputs, and productivity in U.S. agriculture for 1949-2002 are used to estimate production functions in growth rate form that include proxy variables for changes in the utilization of durable inputs. The proxy variables include an index of farmers’ terms of trade and an index of local seasonal growing conditions. We find that utilization responses by farmers are significant and bias measures of productivity growth in a pro-cyclical pattern. We quantify the bias, adjust the measures of productivity for the estimated utilization responses, and compare the adjusted and conventional measures.

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  • Andersen, Matthew A. & Alston, Julian M. & Pardey, Philip G., 2007. "Capital Use Intensity and Productivity Biases," Staff Papers 7314, University of Minnesota, Department of Applied Economics.
    • Handle: RePEc:ags:umaesp:7314
    DOI: 10.22004/ag.econ.7314
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    1. Morrison, Catherine J., 1986. "Productivity measurement with non-static expectations and varying capacity utilization : An integrated approach," Journal of Econometrics, Elsevier, vol. 33(1-2), pages 51-74.
    2. Fulginiti, Lilyan E & Perrin, Richard K, 1993. "Prices and Productivity in Agriculture," The Review of Economics and Statistics, MIT Press, vol. 75(3), pages 471-482, August.
    3. Marianne Baxter & Dorsey D. Farr, 2001. "The Effects of Variable Capital Utilization on the Measurement and Properties of Sectoral Productivity: Some International Evidence," NBER Working Papers 8475, National Bureau of Economic Research, Inc.
    4. Baxter, Marianne & Farr, Dorsey D., 2005. "Variable capital utilization and international business cycles," Journal of International Economics, Elsevier, vol. 65(2), pages 335-347, March.
    5. Susanto Basu, 1996. "Procyclical Productivity: Increasing Returns or Cyclical Utilization?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(3), pages 719-751.
    6. Paris, Quirino & Caputo, Michael R., 1995. "The Rhetoric Of Duality," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 20(1), pages 1-20, July.
    7. Songqing Jin & Scott Rozelle & Julian Alston & Jikun Huang, 2005. "Economies Of Scale And Scope And The Economic Efficiency Of China'S Agricultural Research System," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(3), pages 1033-1057, August.
    8. Lau, Lawrence J & Yotopoulos, Pan A, 1971. "A Test for Relative Efficiency and Application to Indian Agriculture," American Economic Review, American Economic Association, vol. 61(1), pages 94-109, March.
    9. Panos Fousekis & Aspasia Papakonstantinou, 1997. "Economic Capacity Utilisation And Productivity Growth In Greek Agriculture," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 38-51, January.
    10. D. W. Jorgenson & Z. Griliches, 1967. "The Explanation of Productivity Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 34(3), pages 249-283.
    11. J. R. Hicks, 1963. "The Theory of Wages," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-349-00189-7, October.
    12. Dale W. Jorgenson & Frank M. Gollop, 1992. "Productivity Growth in U.S. Agriculture: A Postwar Perspective," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(3), pages 745-750.
    13. Susanto Basu & John Fernald, 2001. "Why Is Productivity Procyclical? Why Do We Care?," NBER Chapters, in: New Developments in Productivity Analysis, pages 225-302, National Bureau of Economic Research, Inc.
    14. Roberto ESPOSTI, 1998. "Stochastic Technical Change and Procyclical TFP The Italian Agriculture Case," Working Papers 108, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    15. Barbara J. Craig & Philip G. Pardey, 1996. "Productivity Measurement in the Presence of Quality Change," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(5), pages 1349-1354.
    16. Pope, Rulon D. & Just, Richard E., 1996. "Empirical implementation of ex ante cost functions," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 231-249.
    17. Roberto Esposti, 2000. "Stochastic Technical Change and Procyclical TFP The Case of Italian Agriculture," Journal of Productivity Analysis, Springer, vol. 14(2), pages 119-141, September.
    18. Rulon D. Pope & Richard E. Just, 2003. "Distinguishing Errors in Measurement from Errors in Optimization," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 348-358.
    19. Pinar Celikkol & Spiro Stefanou, 1999. "Measuring the Impact of Price-Induced Innovation on Technological Progress: Application to the U.S. Food Processing and Distribution Sector," Journal of Productivity Analysis, Springer, vol. 12(2), pages 135-151, September.
    20. Ball, V. Eldon & Butault, Jean-Pierre & Nehring, Richard F., 2001. "U.S. Agriculture, 1960-96 A Multilateral Comparison of Total Factor Productivity," Technical Bulletins 33590, United States Department of Agriculture, Economic Research Service.
    21. Susan M. Capalbo & Michael Denny, 1985. "Testing Long-Run Productivity Models for the Canadian and U.S. Agricultural Sectors," NBER Working Papers 1764, National Bureau of Economic Research, Inc.
    22. Berndt, Ernst R. & Fuss, Melvyn A., 1986. "Editors' introduction," Journal of Econometrics, Elsevier, vol. 33(1-2), pages 1-5.
    23. Moschini, GianCarlo, 2001. "Production risk and the estimation of ex-ante cost functions," Journal of Econometrics, Elsevier, vol. 100(2), pages 357-380, February.
    24. Slade, Margaret E., 1986. "Total-factor-productivity measurement when equilibrium is temporary : A Monte Carlo assessment," Journal of Econometrics, Elsevier, vol. 33(1-2), pages 75-95.
    25. Dale W. Jorgenson, 1991. "Productivity and Economic Growth," NBER Chapters, in: Fifty Years of Economic Measurement: The Jubilee of the Conference on Research in Income and Wealth, pages 19-118, National Bureau of Economic Research, Inc.
    26. Helliwell, John F. & Chung, Alan, 1986. "Aggregate output with variable rates of utilization of employed factors," Journal of Econometrics, Elsevier, vol. 33(1-2), pages 285-310.
    27. Yir-Hueih Luh & Spiro E. Stefanou, 1991. "Productivity Growth in U.S. Agriculture under Dynamic Adjustment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(4), pages 1116-1125.
    28. Hayami, Yujiro & Ruttan, Vernon W, 1970. "Agricultural Productivity Differences Among Countries," American Economic Review, American Economic Association, vol. 60(5), pages 895-911, December.
    29. Albert K. A. Acquaye & Julian M. Alston & Philip G. Pardey, 2003. "Post-War Productivity Patterns in U.S. Agriculture: Influences of Aggregation Procedures in a State-Level Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 59-80.
    30. Catherine J. Morrison, 1985. "On the Economic Interpretation and Measurement of Optimal Capacity Utilization with Anticipatory Expectations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 52(2), pages 295-309.
    31. Mundlak, Yair & Larson, Don & Butzer, Ritz, 1997. "The determinants of agricultural production : a cross-country analysis," Policy Research Working Paper Series 1827, The World Bank.
    32. Wen Yi, 2004. "What Does It Take to Explain Procyclical Productivity?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 4(1), pages 1-40, June.
    33. Mundlak, Yair, 1996. "Production Function Estimation: Reviving the Primal," Econometrica, Econometric Society, vol. 64(2), pages 431-438, March.
    34. Susanto Basu & Miles S. Kimball, 1997. "Cyclical Productivity with Unobserved Input Variation," NBER Working Papers 5915, National Bureau of Economic Research, Inc.
    35. Berndt, Ernst R. & Fuss, Melvyn A., 1986. "Productivity measurement with adjustments for variations in capacity utilization and other forms of temporary equilibrium," Journal of Econometrics, Elsevier, vol. 33(1-2), pages 7-29.
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    Cited by:

    1. Youngjune Kim & Ji Yong Lee, 2020. "Effects of Government Payments on Agricultural Productivity: The Case of South Korea," Sustainability, MDPI, vol. 12(9), pages 1-11, April.
    2. Alejandro Plastina & Lilyan Fulginiti, 2012. "Rates of return to public agricultural research in 48 US states," Journal of Productivity Analysis, Springer, vol. 37(2), pages 95-113, April.
    3. Lin, Boqiang & Xie, Yongjing, 2023. "Does digital transformation improve the operational efficiency of Chinese power enterprises?," Utilities Policy, Elsevier, vol. 82(C).
    4. Zheng, Yu & Alexandre, Gohin, 2018. "Agricultural productivity and price volatility in France: a dynamic stochastic partial equilibrium approach," 2018 Annual Meeting, August 5-7, Washington, D.C. 274354, Agricultural and Applied Economics Association.
    5. Lence, Sergio H. & Plastina, Alejandro, 2020. "An Empirical Investigation of Productivity Spillovers along the Agricultural Supply Chain," ISU General Staff Papers 202001010800001066, Iowa State University, Department of Economics.
    6. Kevin J. Fox & Yu Sheng & Tom Jackson & Shiji Zhao & Dandan Zhang, 2017. "Measuring Output, Input and Total Factor Productivity in Australian Agriculture: An Industry-Level Analysis," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63, pages 169-193, February.
    7. Andersen, Matthew A. & Alston, Julian M. & Pardey, Philip G., 2009. "Capital Service Flows: Concepts and Comparisons of Alternative Measures in U.S. Agriculture," Staff Papers 50098, University of Minnesota, Department of Applied Economics.
    8. Alston, Julian M. & Pardey, Philip G. & Ruttan, Vernon W., 2008. "Research Lags Revisited: Concepts and Evidence from U.S. Agriculture," Staff Papers 50091, University of Minnesota, Department of Applied Economics.

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    More about this item

    Keywords

    Productivity Analysis;

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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