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Nonparametric Estimates of the Components of Productivity and Profitability Change in U.S. Agriculture

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  • Christopher J. O'Donnell

Abstract

Recent theoretical advances in total factor productivity (TFP) measurement mean that TFP indexes can now be exhaustively decomposed into unambiguous measures of technical change and efficiency change. To date, all applications of this new methodology have involved decomposing indexes that have poor theoretical properties. This article shows how the methodology can be used to decompose a new TFP index that satisfies all economically-relevant axioms from index theory. The application is to state-level data from 1960 to 2004. In most states, the main drivers of agricultural TFP change are found to have been technical change and scale and mix efficiency change. Copyright 2012, Oxford University Press.

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  • Christopher J. O'Donnell, 2012. "Nonparametric Estimates of the Components of Productivity and Profitability Change in U.S. Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(4), pages 873-890.
  • Handle: RePEc:oup:ajagec:v:94:y:2012:i:4:p:873-890
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    1. Christopher J. O'Donnell, 2010. "Measuring and decomposing agricultural productivity and profitability change ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(4), pages 527-560, October.
    2. Catherine J. Morrison Paul & Richard Nehring & David Banker, 2004. "Productivity, Economies, and Efficiency in U.S. Agriculture: A Look at Contracts," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(5), pages 1308-1314.
    3. Capalbo, Susan Marie, 1988. "Measuring The Components Of Aggregate Productivity Growth In U.S. Agriculture," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(1), pages 1-10, July.
    4. C.J. O'Donnell, 2008. "An aggregate quantity-price framework for measuring and Decomposing productivity and profitability change," CEPA Working Papers Series WP072008, School of Economics, University of Queensland, Australia.
    5. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    6. V. Eldon Ball & Charles Hallahan & Richard Nehring, 2004. "Convergence of Productivity: An Analysis of the Catch-up Hypothesis within a Panel of States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(5), pages 1315-1321.
    7. Paul, Catherine J. Morrison & Nehring, Richard, 2005. "Product diversification, production systems, and economic performance in U.S. agricultural production," Journal of Econometrics, Elsevier, vol. 126(2), pages 525-548, June.
    8. C.J. O'Donnell, 2010. "DPIN Version 1.0: A Program for Decomposing Productivity Index Numbers," CEPA Working Papers Series WP012010, School of Economics, University of Queensland, Australia.
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    Cited by:

    1. Aparicio, Juan & López-Torres, Laura & Santín, Daniel, 2018. "Economic crisis and public education. A productivity analysis using a Hicks-Moorsteen index," Economic Modelling, Elsevier, vol. 71(C), pages 34-44.
    2. Laurenceson, James & O'Donnell, Christopher, 2014. "New estimates and a decomposition of provincial productivity change in China," China Economic Review, Elsevier, vol. 30(C), pages 86-97.
    3. C. O’Donnell & K. Nguyen, 2013. "An econometric approach to estimating support prices and measures of productivity change in public hospitals," Journal of Productivity Analysis, Springer, vol. 40(3), pages 323-335, December.
    4. Kerstens, Kristiaan & Van de Woestyne, Ignace, 2014. "Comparing Malmquist and Hicks–Moorsteen productivity indices: Exploring the impact of unbalanced vs. balanced panel data," European Journal of Operational Research, Elsevier, vol. 233(3), pages 749-758.
    5. Ipatova, Irina, 2015. "The dynamics of total factor productivity and its components: Russian plastic production," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 38(2), pages 21-40.
    6. C.J. O'Donnell & S. Fallah-Fini & K, Triantis, 2011. "Comparing Firm Performance Using Transitive Productivity Index Numbers in a Meta-frontier Framework," CEPA Working Papers Series WP082011, School of Economics, University of Queensland, Australia.
    7. Diewert, W. Erwin & Fox, Kevin J., 2017. "Decomposing productivity indexes into explanatory factors," European Journal of Operational Research, Elsevier, vol. 256(1), pages 275-291.
    8. Mullen, John & Keogh, Mick, 2013. "The Future Productivity and Competitiveness Challenge for Australian Agriculture," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152170, Australian Agricultural and Resource Economics Society.
    9. Constant, Labintan Adeniyi & Shijun, Ding, 2012. "Benin Agriculture Productivity and profitability Measurement," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126748, International Association of Agricultural Economists.
    10. Andrew Maredza and Sylvanus Ikhide, 2013. "The Impact of the Global Financial Crisis on Efficiency and Productivity of the Banking System in South Africa," Working Papers 328, Economic Research Southern Africa.
    11. Brennan, Shae & Haelermans, Carla & Ruggiero, John, 2014. "Nonparametric estimation of education productivity incorporating nondiscretionary inputs with an application to Dutch schools," European Journal of Operational Research, Elsevier, vol. 234(3), pages 809-818.
    12. Arjomandi, Amir & Valadkhani, Abbas, 2010. "Banks’ Efficiency and Productivity Analysis Using the Hicks-Moorsteen Approach: A Case Study of Iran," Economics Working Papers wp10-11, School of Economics, University of Wollongong, NSW, Australia.
    13. Julien, Jacques C. & Bravo-Ureta, Boris E. & Rada, Nicholas E., 2019. "Assessing farm performance by size in Malawi, Tanzania, and Uganda," Food Policy, Elsevier, vol. 84(C), pages 153-164.
    14. See, Kok Fong & Li, Fei, 2015. "Total factor productivity analysis of the UK airport industry: A Hicks-Moorsteen index method," Journal of Air Transport Management, Elsevier, vol. 43(C), pages 1-10.
    15. C. O’Donnell, 2014. "Econometric estimation of distance functions and associated measures of productivity and efficiency change," Journal of Productivity Analysis, Springer, vol. 41(2), pages 187-200, April.
    16. Neves Bezerra de Melo, Felipe Luiz & Sampaio, Raquel Menezes Bezerra & Sampaio, Luciano Menezes Bezerra, 2018. "Efficiency, productivity gains, and the size of Brazilian supermarkets," International Journal of Production Economics, Elsevier, vol. 197(C), pages 99-111.
    17. Arjomandi, Amir & Valadkhani, Abbas & O’Brien, Martin, 2014. "Analysing banks’ intermediation and operational performance using the Hicks–Moorsteen TFP index: The case of Iran," Research in International Business and Finance, Elsevier, vol. 30(C), pages 111-125.
    18. Andreas Mayer & Valentin Zelenyuk, 2014. "An Aggregation Paradigm for Hicks-Moorsteen Productivity Indexes," CEPA Working Papers Series WP012014, School of Economics, University of Queensland, Australia.
    19. Christopher O`Donnell, 2014. "An Economic Approach to Identifying the Drivers of Productivity Change in the Market Sectors of the Australian Economy," CEPA Working Papers Series WP022014, School of Economics, University of Queensland, Australia.
    20. C.J. O'Donnell, 2011. "The Sources of Productivity Change in the Manufacturing Sectors of the U.S. Economy," CEPA Working Papers Series WP072011, School of Economics, University of Queensland, Australia.

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