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Development of Efficiency in Alpine Farming - A Combination of the Malmquist Index Approach and Matching–

Author

Listed:
  • Kantelhardt, Jochen
  • Kapfer, Martin
  • Franzel, Martin
  • Kirchweger, Stefan

Abstract

In comparison to flatland agriculture mountainous agriculture is often shaped by small plot sizes, unfavourable climatic conditions and steep slopes. All those conditions make it extraordinarily expensive to implement new technologies and to modernise farms. Consequently our research hypothesis is that technical progress in mountainous regions is slower in comparison to flatland regions. In order to test this hypothesis we develop a model combining a Malmquist index approach with a matching analysis. We apply our model in Austria, using a panel data set comprising the data of 1034 Austrian voluntarily bookkeeping farms and ranging from 2003 to 2009. On basis of the Austrian Mountain Farm Cadastre the farms are classified into five categories expressing the degree of disadvantage which farms are exposed from being located in a mountainous area. Our results show that technical change in mountain regions is significantly lower than in flatland regions and continuously decreasing with increasing disadvantage. Matching our results shows that this result is mainly based on farm grassland share, while farm size is of minor importance. With regard to efficiency change and change of total factor productivity we do not find any significant results.

Suggested Citation

  • Kantelhardt, Jochen & Kapfer, Martin & Franzel, Martin & Kirchweger, Stefan, 2013. "Development of Efficiency in Alpine Farming - A Combination of the Malmquist Index Approach and Matching–," 53rd Annual Conference, Berlin, Germany, September 25-27, 2013 156136, German Association of Agricultural Economists (GEWISOLA).
    • Handle: RePEc:ags:gewi13:156136
    DOI: 10.22004/ag.econ.156136
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    References listed on IDEAS

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    1. Jan, Pierrick, 2012. "Total factor productivity change of Swiss dairy farms in the mountain region in the period 1999 to 2008," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 93(03), pages 273-298, September.
    2. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    3. Balmann, Alfons & Czasch, Britta, 2001. "Zur Effizienz landwirtschaftlicher Unternehmen in Brandenburg – Eine Data Envelopment Analysis," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 50(03), pages 1-6.
    4. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Reig-Martinez, Ernest & Picazo-Tadeo, Andres J., 2004. "Analysing farming systems with Data Envelopment Analysis: citrus farming in Spain," Agricultural Systems, Elsevier, vol. 82(1), pages 17-30, October.
    7. 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.
    8. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, January.
    9. Pierrick Jan & Markus Lips & Michel Dumondel, 2012. "Total factor productivity change of Swiss dairy farms in the mountain region in the period 1999 to 2008," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 93(3), pages 273-298.
    10. Jan, Pierrick & Lips, Markus, 2012. "Total factor productivity change of Swiss dairy farms in the mountain region in the period 1999 to 2008," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 93(3).
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