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Comparison of the Economic Performance between Organic and Conventional Dairy Farms in the Swiss Mountain Region Using Matching and Stochastic Frontier Analysis

Author

Listed:
  • Moritz Flubacher
  • George Sheldon

    (University of Basel, Faculty of Business and Economics)

  • Adrian Müller

    (ETH Zurich, Chair of Environmental Policy and Economics)

Abstract

This thesis evaluates and compares the economic performance across organic and conventional dairy farms in the Swiss mountain region. To mitigate possible self-selection bias, matched groups of organic and conventional dairy farms with similar production possibilities are determined using exact and propensity score matching. Stochastic frontier analysis is then applied to estimate productivity differentials and technical efficiencies. Results reveal that organic farms are more productive converting input (labour, land, intermediate costs, capital) into output (revenues) while there are no significant differences in technical efficiencies. These findings suggest that the organic milk price overcompensates for lower yields in organic production leading to higher incomes. Thus switching into organic farming in the low intensive mountain region can improve the economic situation of conventional dairy farmers.

Suggested Citation

  • Moritz Flubacher & George Sheldon & Adrian Müller, 2015. "Comparison of the Economic Performance between Organic and Conventional Dairy Farms in the Swiss Mountain Region Using Matching and Stochastic Frontier Analysis," Journal of Socio-Economics in Agriculture (Until 2015: Yearbook of Socioeconomics in Agriculture), Swiss Society for Agricultural Economics and Rural Sociology, vol. 7(1), pages 76-84.
    • Handle: RePEc:cha:ysa001:v:7:y:2014:i:1:p:76-84
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    References listed on IDEAS

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    1. Alfons Oude Lansink & Ky–sti Pietola, 2002. "Effciency and productivity of conventional and organic farms in Finland 1994--1997," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 29(1), pages 51-66, March.
    2. Coelli, Tim J. & Battese, George E., 1996. "Identification Of Factors Which Influence The Technical Inefficiency Of Indian Farmers," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 40(2), pages 1-26, August.
    3. Satbir Singh & Tim Coelli & Euan Fleming, 2001. "Performance of Dairy Plants in the Cooperative and Private Sectors in India," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 72(4), pages 453-479, December.
    4. Tzouvelekas, Vangelis & Pantzios, Christos J. & Fotopoulos, Christos, 2001. "Economic Efficiency in Organic Farming: Evidence from Cotton Farms in Viotia, Greece," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 33(1), pages 35-48, April.
    5. Subal Kumbhakar & Efthymios Tsionas & Timo Sipiläinen, 2009. "Joint estimation of technology choice and technical efficiency: an application to organic and conventional dairy farming," Journal of Productivity Analysis, Springer, vol. 31(3), pages 151-161, June.
    6. 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.
    7. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    8. Mamardashvili, Phatima & Bokusheva, Raushan, 2012. "Technical Efficiency of Farms under Multiple Output Technology," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126697, International Association of Agricultural Economists.
    9. Michael Burton & Dan Rigby & Trevor Young, 1999. "Analysis of the Determinants of Adoption of Organic Horticultural Techniques in the UK," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(1), pages 47-63, January.
    10. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
    11. Madau, Fabio A., 2007. "Technical Efficiency in Organic and Conventional Farming: Evidence from Italian Cereal Farms," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 8(1), pages 1-17, January.
    12. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 1-11, December.
    13. Carlos D. Mayen & Joseph V. Balagtas & Corinne E. Alexander, 2010. "Technology Adoption and Technical Efficiency: Organic and Conventional Dairy Farms in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 181-195.
    14. KS Pietola & AO Lansink, 2001. "Farmer response to policies promoting organic farming technologies in Finland," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 28(1), pages 1-15, March.
    15. Ho, Daniel & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2011. "MatchIt: Nonparametric Preprocessing for Parametric Causal Inference," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i08).
    16. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    Cited by:

    1. Maria Raimondo & Francesco Caracciolo & Concetta Nazzaro & Giuseppe Marotta, 2021. "Organic Farming Increases the Technical Efficiency of Olive Farms in Italy," Agriculture, MDPI, vol. 11(3), pages 1-15, March.
    2. Zhong, Shen & Li, Junwei & Qu, Yi, 2022. "Green total factor productivity of dairy cow in China: Key facts from scale and regional sector," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    3. Rebecca Buttinelli & Raffaele Cortignani & Gabriele Dono, 2021. "Financial sustainability in Italian Organic Farms: An analysis of the FADN Sample," Economia agro-alimentare, FrancoAngeli Editore, vol. 23(3), pages 1-32.
    4. Stefano Orsini & Susanne Padel & Nic Lampkin, 2018. "Labour Use on Organic Farms: A Review of Research since 2000," Organic Farming, Librello publishing house, vol. 4(1), pages 7-15.

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    More about this item

    Keywords

    Stochastic Frontiers; Technical Efficiency; Productivity; Propensity Score Matching; Self Selection; Dairy; Organic;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services

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