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A nonparametric analysis of the determinants of family farm efficiency dynamics in Lithuania

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  • Tomas Baležentis
  • Irena Kriščiukaitienė
  • Alvydas Baležentis

Abstract

This article presents insights into the efficiency of Lithuanian family farms. The research covers the years 2004–2009 and is based on farm-level Farm Accountancy Data Network data. Bootstrapped data envelopment analysis was employed to obtain efficiency scores, whereas stochastic kernels and multivariate methods, viz. fuzzy clustering and nonparametric regression, were utilized to assess the impact of selected determinants on efficiency. Clustering analysis indicated that the efficiency change paths specific for the analyzed sample differed in both their average levels and ranges. Furthermore, it was concluded that Lithuanian agricultural policy should focus on increasing the efficiency of crop farms. Cluster analysis suggested that production subsidies might be having a negative effect on efficiency.

Suggested Citation

  • Tomas Baležentis & Irena Kriščiukaitienė & Alvydas Baležentis, 2014. "A nonparametric analysis of the determinants of family farm efficiency dynamics in Lithuania," Agricultural Economics, International Association of Agricultural Economists, vol. 45(5), pages 589-599, September.
    • Handle: RePEc:bla:agecon:v:45:y:2014:i:5:p:589-599
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    Cited by:

    1. Yu, Lili & Niu, Ziheng & Gao, Yang & Tian, Borui, 2019. "Support policy preferences of grain family farms: evidence from Huang-huai-hai plain of China," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 23(5), October.
    2. Manevska-Tasevska, Gordana & Hansson, Helena & Asmild, Mette & Surry, Yves, 2018. "Assessing the regional efficiency of Swedish agriculture under the CAP ‒ a multidirectional efficiency approach," 162nd Seminar, April 26-27, 2018, Budapest, Hungary 271971, European Association of Agricultural Economists.
    3. Manevska-Tasevska, Gordana & Hansson, Helena & Asmild, Mette & Surry, Yves, 2021. "Exploring the regional efficiency of the Swedish agricultural sector during the CAP reforms ‒ multi-directional efficiency analysis approach," Land Use Policy, Elsevier, vol. 100(C).
    4. Baležentis, Tomas & De Witte, Kristof, 2015. "One- and multi-directional conditional efficiency measurement – Efficiency in Lithuanian family farms," European Journal of Operational Research, Elsevier, vol. 245(2), pages 612-622.
    5. Jakub Staniszewski & Anika Muder, 2023. "Structural and weather-related factors of the sustainable intensification process in agriculture of the European Union regions," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(10), pages 385-393.
    6. Agnes Gold & Stefan Gold, 2019. "Drivers of Farm Efficiency and Their Potential for Development in a Changing Agricultural Setting in Kerala, India," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 31(4), pages 855-880, September.
    7. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.

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