IDEAS home Printed from https://ideas.repec.org/a/bla/agecon/v45y2014i5p589-599.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/agec.12108
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    2. 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.
    3. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
    4. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    5. Leopold Simar & Valentin Zelenyuk, 2006. "On Testing Equality of Distributions of Technical Efficiency Scores," Econometric Reviews, Taylor & Francis Journals, vol. 25(4), pages 497-522.
    6. Laure Latruffe & Sophia Davidova & Kelvin Balcombe, 2008. "Productivity change in Polish agriculture: an illustration of a bootstrapping procedure applied to Malmquist indices," Post-Communist Economies, Taylor & Francis Journals, vol. 20(4), pages 449-460.
    7. Aldea, Anamaria & Ciobanu, Anamaria & Stancu, Ion, 2012. "The Renewable Energy Development: A Nonparametric Efficiency Analysis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 5-19, March.
    8. Halkos, George E. & Tzeremes, Nickolaos G., 2012. "Analyzing the Greek renewable energy sector: A Data Envelopment Analysis approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2884-2893.
    9. Mugera, Amin W. & Langemeier, Michael R., 2011. "Does Farm Size and Specialization Matter for Productive Efficiency? Results from Kansas," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 43(4), pages 515-528, November.
    10. Racine, Jeffrey S., 2008. "Nonparametric Econometrics: A Primer," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(1), pages 1-88, March.
    11. Kwansoo Kim & Jean-Paul Chavas & Bradford Barham & Jeremy Foltz, 2012. "Specialization, diversification, and productivity: a panel data analysis of rice farms in Korea," Agricultural Economics, International Association of Agricultural Economists, vol. 43(6), pages 687-700, November.
    12. Li, Qi & Maasoumi, Esfandiar & Racine, Jeffrey S., 2009. "A nonparametric test for equality of distributions with mixed categorical and continuous data," Journal of Econometrics, Elsevier, vol. 148(2), pages 186-200, February.
    13. A. Assaf & K. M. Matawie, 2010. "Improving the accuracy of DEA efficiency analysis: a bootstrap application to the health care foodservice industry," Applied Economics, Taylor & Francis Journals, vol. 42(27), pages 3547-3558.
    14. Hayfield, Tristen & Racine, Jeffrey S., 2008. "Nonparametric Econometrics: The np Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i05).
    15. Amin Mugera & Michael Langemeier & Allen Featherstone, 2012. "Labor productivity convergence in the Kansas farm sector: a three-stage procedure using data envelopment analysis and semiparametric regression analysis," Journal of Productivity Analysis, Springer, vol. 38(1), pages 63-79, August.
    16. Jeffrey Racine, 2008. "Nonparametric econometrics: a primer (in Russian)," Quantile, Quantile, issue 4, pages 7-56, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    3. 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.
    4. 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).
    5. 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.
    6. 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.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. George E. Halkos & Nickolaos G. Tzeremes, 2015. "Measuring Seaports' Productivity: A Malmquist Productivity Index Decomposition Approach," Journal of Transport Economics and Policy, University of Bath, vol. 49(2), pages 355-376, April.
    2. Halkos, George & Tzeremes, Nickolaos, 2011. "Applying conditional DEA to measure football clubs’ performance: Evidence from the top 25 European clubs," MPRA Paper 31278, University Library of Munich, Germany.
    3. Gounopoulos, Dimitrios & Kallias, Konstantinos & Newton, David & Tzeremes, Nickolaos, 2016. "Political connections and IPO underpricing: An efficiency problem," MPRA Paper 69427, University Library of Munich, Germany.
    4. George Halkos & Roman Matousek & Nickolaos Tzeremes, 2016. "Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 47-77, January.
    5. Mette Asmild & Jens Hougaard & Dorte Kronborg, 2013. "Do efficiency scores depend on input mix? A statistical test and empirical illustration," Annals of Operations Research, Springer, vol. 211(1), pages 37-48, December.
    6. Halkos, George E. & Tzeremes, Nickolaos G., 2014. "Public sector transparency and countries’ environmental performance: A nonparametric analysis," Resource and Energy Economics, Elsevier, vol. 38(C), pages 19-37.
    7. George E. Halkos & Roman Matousek & Nickolaos G. Tzeremes, 2016. "Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 47-77, January.
    8. Halkos, George & Tzeremes, Nickolaos, 2011. "A conditional full frontier approach for investigating the Averch-Johnson effect," MPRA Paper 35491, University Library of Munich, Germany.
    9. Mette Asmild & Jens Leth Hougaard & Dorte Kronborg, 2011. "Does the distribution of efficiency scores depend on the input mix?," MSAP Working Paper Series 03_2011, University of Copenhagen, Department of Food and Resource Economics.
    10. Sokol, Ondřej & Frýd, Lukáš, 2023. "DEA efficiency in agriculture: Measurement unit issues," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    11. Halkos, George & Tzeremes, Nickolaos, 2011. "Examining the influence of access to improved water and sanitation sources on countries’ economic efficiency," MPRA Paper 30099, University Library of Munich, Germany.
    12. Valentin Zelenyuk, 2019. "Data Envelopment Analysis and Business Analytics: The Big Data Challenges and Some Solutions," CEPA Working Papers Series WP072019, School of Economics, University of Queensland, Australia.
    13. Kelly D.T.Trinh & Valentin Zelenyuk, 2015. "Bootstrap-based testing for network DEA: Some Theory and Applications," CEPA Working Papers Series WP052015, School of Economics, University of Queensland, Australia.
    14. Rodrigo Taborda & Julieth Santamaría, 2011. "Productivity growth in electric energy retail in Colombia. A bootstrapped malmquist indices approach," Documentos de Trabajo 9152, Universidad del Rosario.
    15. Halkos, George & Tzeremes, Nickolaos, 2011. "A nonparametric analysis of the Greek renewable energy sector," MPRA Paper 30467, University Library of Munich, Germany.
    16. S. C. West & A. W. Mugera & R. S. Kingwell, 2022. "The choice of efficiency benchmarking metric in evaluating firm productivity and viability," Journal of Productivity Analysis, Springer, vol. 57(2), pages 193-211, April.
    17. Halkos, George E. & Tzeremes, Nickolaos G., 2012. "Analyzing the Greek renewable energy sector: A Data Envelopment Analysis approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2884-2893.
    18. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, January.
    19. Isabel-María García-Sánchez & Luis Rodríguez-Domínguez & Javier Parra-Domínguez, 2013. "Yearly evolution of police efficiency in Spain and explanatory factors," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 21(1), pages 31-62, January.
    20. Latruffe, Laure & Fogarasi, József & Desjeux, Yann, 2012. "Efficiency, productivity and technology comparison for farms in Central and Western Europe: The case of field crop and dairy farming in Hungary and France," Economic Systems, Elsevier, vol. 36(2), pages 264-278.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:agecon:v:45:y:2014:i:5:p:589-599. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.