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Efficiency Analysis of Agricultural Cooperatives in Trentino-Alto Adige

Author

Listed:
  • Darina Zaimova
  • George Zheliazkov
  • Julia Doitchinova

Abstract

Collective organization of agricultural production is assumed to be a sufficient choice taking into a consideration a several reasons why mergers of existing farms promote efficiency, such as: increase in optimal scale from reduced duplication; reduced transaction costs; synergies from complementary activities; and improved management and coordination.Data envelopment approach (DEA) is applied to the input and output variables to reveal the efficiency levels of cooperatives in Trentino-Alto Adige in Italy. The analysis is also developed to estimate input utilization and changes that might occur in terms of their optimizations and higher level output.

Suggested Citation

  • Darina Zaimova & George Zheliazkov & Julia Doitchinova, 2018. "Efficiency Analysis of Agricultural Cooperatives in Trentino-Alto Adige," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 176-203.
    • Handle: RePEc:bas:econst:y:2018:i:4:p:176-203
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    References listed on IDEAS

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    1. Forsund, Finn R & Hjalmarsson, Lennart, 1979. "Generalised Farrell Measures of Efficiency: An Application to Milk Processing in Swedish Dairy Plants," Economic Journal, Royal Economic Society, vol. 89(354), pages 294-315, June.
    2. Afriat, Sidney N, 1972. "Efficiency Estimation of Production Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 13(3), pages 568-598, October.
    3. Golany, Boaz & Yu, Gang, 1997. "Estimating returns to scale in DEA," European Journal of Operational Research, Elsevier, vol. 103(1), pages 28-37, November.
    4. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    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. Fare, Rolf & Grosskopf, Shawna & Logan, James, 1983. "The relative efficiency of Illinois electric utilities," Resources and Energy, Elsevier, vol. 5(4), pages 349-367, December.
    7. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, December.
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    More about this item

    JEL classification:

    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • P32 - Political Economy and Comparative Economic Systems - - Socialist Institutions and Their Transitions - - - Collectives; Communes; Agricultural Institutions
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • P13 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Cooperative Enterprises
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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