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Total factor productivity in the Lithuanian family farms after accession to the EU: application of the bias-corrected Malmquist indices

Author

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  • Tomas Baležentis
Abstract
The non-parametric measures of efficiency and productivity do not enable to fathom the underlying technology changes in terms of input saving and consumption. However, the bias-corrected Malmquist productivity index offers a remedy to this shortcoming. This paper, thus, employed the bias-corrected Malmquist productivity index to measurement of the total factor productivity changes in the Lithuanian family farms. The paper employed the Malmquist productivity indices to measure the technical changes (TCs) in terms of input-saving or input-use. Specifically, a sample of 200 family farms was used for the analysis. The research period covered years 2004–2009. The three farming types were considered, namely crop, livestock, and mixed farming. The analysis indicted that crop farming was peculiar with land-using and asset-saving TC, whereas labour-using and intermediate consumption saving TCs were observed only for certain combinations of inputs. As for livestock farms these generally experienced intermediate consumption and asset saving TCs against all the remaining inputs, whereas labour-saving and land-using TC varied with the reference inputs. Finally, mixed farms can be considered as those peculiar with increasing land use and decreasing capital consumption. Labour-using and intermediate consumption saving TCs did also hold for most of the analysed factors. The Lithuanian agricultural sector has not been analysed by the means of the bias-corrected Malmquist indices. Furthermore, there is a gap in the literature on the efficiency and total factor productivity in the Lithuanian farms in general. The present study, therefore, presents insights on the technology change based on non-parametric estimates. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • Tomas Baležentis, 2014. "Total factor productivity in the Lithuanian family farms after accession to the EU: application of the bias-corrected Malmquist indices," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(4), pages 731-746, November.
  • Handle: RePEc:kap:empiri:v:41:y:2014:i:4:p:731-746
    DOI: 10.1007/s10663-013-9234-y
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    References listed on IDEAS

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    1. Elodie Douarin & Laure Latruffe, 2011. "Potential impact of the EU Single Area Payment on farm restructuring and efficiency in Lithuania," Post-Communist Economies, Taylor & Francis Journals, vol. 23(1), pages 87-103.
    2. Walter Briec & Nicolas Peypoch, 2007. "Biased Technical Change and Parallel Neutrality," Journal of Economics, Springer, vol. 92(3), pages 281-292, December.
    3. Chambers, Robert G. & Fare, Rolf & Grosskopf, Shawna, 1996. "Productivity Growth in APEC Countries," Working Papers 197843, University of Maryland, Department of Agricultural and Resource Economics.
    4. Briec, Walter & Peypoch, Nicolas & Ratsimbanierana, Hermann, 2011. "Productivity growth and biased technological change in hydroelectric dams," Energy Economics, Elsevier, vol. 33(5), pages 853-858, September.
    5. Weber, William L. & Domazlicky, Bruce R., 1999. "Total factor productivity growth in manufacturing: a regional approach using linear programming," Regional Science and Urban Economics, Elsevier, vol. 29(1), pages 105-122, January.
    6. Rolf Färe & Emili Grifell‐Tatjé & Shawna Grosskopf & C. A. Knox Lovell, 1997. "Biased Technical Change and the Malmquist Productivity Index," Scandinavian Journal of Economics, Wiley Blackwell, vol. 99(1), pages 119-127, March.
    7. Kelvin Balcombe & Sophia Davidova & Laure Latruffe, 2008. "The use of bootstrapped Malmquist indices to reassess productivity change findings: an application to a sample of Polish farms," Applied Economics, Taylor & Francis Journals, vol. 40(16), pages 2055-2061.
    8. Carlos Pestana Barros & J. Augusto Felício & Renato Leite Fernandes, 2012. "Productivity analysis of Brazilian seaports," Maritime Policy & Management, Taylor & Francis Journals, vol. 39(5), pages 503-523, September.
    9. Sanzidur Rahman & Ruhul Salim, 2013. "Six Decades of Total Factor Productivity Change and Sources of Growth in Bangladesh Agriculture (1948–2008)," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 275-294, June.
    10. Shunsuke Managi & David Karemera, 2004. "Input and output biased technological change in US agriculture," Applied Economics Letters, Taylor & Francis Journals, vol. 11(5), pages 283-286.
    11. Barros, Carlos P. & Guironnet, Jean-Pascal & Peypoch, Nicolas, 2011. "Productivity growth and biased technical change in French higher education," Economic Modelling, Elsevier, vol. 28(1-2), pages 641-646, January.
    12. 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.
    13. Barros, Carlos Pestana & Weber, William L., 2009. "Productivity growth and biased technological change in UK airports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(4), pages 642-653, July.
    14. Tim J. Coelli & D. S. Prasada Rao, 2005. "Total factor productivity growth in agriculture: a Malmquist index analysis of 93 countries, 1980–2000," Agricultural Economics, International Association of Agricultural Economists, vol. 32(s1), pages 115-134, January.
    15. Mugera, Amin W. & Langemeier, Michael R. & Featherstone, Allen M., 2012. "Labor Productivity Growth in the Kansas Farm Sector: A Tripartite Decomposition Using a Non-Parametric Approach," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(3), pages 1-15, December.
    16. Barros, Carlos Pestana & Managi, Shunsuke & Matousek, Roman, 2009. "Productivity growth and biased technological change: Credit banks in Japan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(5), pages 924-936, December.
    17. repec:bla:scandj:v:98:y:1996:i:2:p:303-13 is not listed on IDEAS
    18. Gorton, Matthew & Davidova, Sophia, 2004. "Farm productivity and efficiency in the CEE applicant countries: a synthesis of results," Agricultural Economics, Blackwell, vol. 30(1), pages 1-16, January.
    19. Nin, Alejandro & Arndt, Channing & Preckel, Paul V., 2003. "Is agricultural productivity in developing countries really shrinking? New evidence using a modified nonparametric approach," Journal of Development Economics, Elsevier, vol. 71(2), pages 395-415, August.
    20. Erik Mathijs & Liesbet Vranken, 2001. "Human Capital, Gender and Organisation in Transition Agriculture: Measuring and Explaining the Technical Efficiency of Bulgarian and Hungarian Farms," Post-Communist Economies, Taylor & Francis Journals, vol. 13(2), pages 171-187.
    21. Chambers,Robert G., 1988. "Applied Production Analysis," Cambridge Books, Cambridge University Press, number 9780521314275, September.
    22. Bruck, Gregory & Grazhdaninova, Margarita & Lerman, Zvi & Uzun, Vasilii, 2006. "Technical Efficiency In Russian Agriculture," Discussion Papers 7182, Hebrew University of Jerusalem, Department of Agricultural Economics and Management.
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