IDEAS home Printed from https://ideas.repec.org/p/ags/iaae15/212024.html
   My bibliography  Save this paper

Matching Efficiency Results of Organic Farms

Author

Listed:
  • Kantelhardt, Jochen
  • Kirchweger, Stefan

Abstract

Organic farms work under very heterogeneous natural-site and socio-economic conditions. This heterogeneity is of clear relevance for economic efficiency and for the decision of farms to convert to organic farming. In order to produce proper results efficiency analysis must consider such heterogeneity and self-selection aspects. This applies in particular to data envelopment analysis, since this technique does not calculate error terms, but include heterogeneity into efficiency results. One way to control for such effects is matching. Matching is based on the assumption that under a given vector of observable variables, the outcome of one individual is independent of the adoption of a specific treatment. In our paper we present how to implement matching into efficiency analysis of organic farms. We give a brief overview on literature applying this technique and we discuss which insights the application of matching might contribute to the current discussion on organic farming.

Suggested Citation

  • Kantelhardt, Jochen & Kirchweger, Stefan, 2015. "Matching Efficiency Results of Organic Farms," 2015 Conference, August 9-14, 2015, Milan, Italy 212024, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae15:212024
    DOI: 10.22004/ag.econ.212024
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/212024/files/Kantelhardt_and_Kirchweger_2015_Matching_Efficiency_Results_of_organic_farms_ICAE_1_.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.212024?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Michael Lechner, 2002. "Some practical issues in the evaluation of heterogeneous labour market programmes by matching methods," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(1), pages 59-82, February.
    2. Michael Lechner, 2002. "Program Heterogeneity And Propensity Score Matching: An Application To The Evaluation Of Active Labor Market Policies," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 205-220, May.
    3. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    4. Sauer, J. & Walsh, J. & Zilberman, D., 2014. "Agri-Environmental Policy Effects at Producer Level – Identification and Measurement," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 49, March.
    5. Breustedt, Gunnar & Latacz-Lohmann, Uwe & Tiedemann, Torben, 2011. "Organic or conventional? Optimal dairy farming technology under the EU milk quota system and organic subsidies," Food Policy, Elsevier, vol. 36(2), pages 223-229, April.
    6. Sipilainen, Timo & Oude Lansink, Alfons G.J.M., 2005. "Learning in Organic Farming - An Application on Finnish Dairy Farms," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24493, European Association of Agricultural Economists.
    7. 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.
    8. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    9. 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.
    10. 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.
    11. 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.
    12. Tzouvelekas, Vangelis & Pantzios, Christos J. & Fotopoulos, Christos, 2001. "Technical efficiency of alternative farming systems: the case of Greek organic and conventional olive-growing farms," Food Policy, Elsevier, vol. 26(6), pages 549-569, December.
    13. Zhong Zhao, 2004. "Using Matching to Estimate Treatment Effects: Data Requirements, Matching Metrics, and Monte Carlo Evidence," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 91-107, February.
    14. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, December.
    15. Sekhon, Jasjeet S., 2011. "Multivariate and Propensity Score Matching Software with Automated Balance Optimization: The Matching package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i07).
    Full references (including those not matched with items on IDEAS)

    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. Flores, Carlos A. & Mitnik, Oscar A., 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," IZA Discussion Papers 4451, Institute of Labor Economics (IZA).
    2. Christian Volpe Martincus & Jerónimo Carballo, 2012. "Export promotion activities in developing countries: What kind of trade do they promote?," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 21(4), pages 539-578, June.
    3. Nguyen Viet, Cuong, 2012. "Selection of Control Variables in Propensity Score Matching: Evidence from a Simulation Study," MPRA Paper 36377, University Library of Munich, Germany.
    4. Volpe Martincus, Christian & Carballo, Jerónimo, 2010. "Export Promotion: Heterogeneous Programs and Heterogeneous Effects," IDB Publications (Working Papers) 3176, Inter-American Development Bank.
    5. Lakner, Sebastian & Breustedt, Gunnar, 2015. "Efficiency analysis of organic farming systems- a review of methods, topics, results, and conclusions," 2015 Conference, August 9-14, 2015, Milan, Italy 212025, International Association of Agricultural Economists.
    6. Froehlich, Anderson G. & Melo, Andrea S.S.A. & Sampaio, Breno, 2018. "Comparing the Profitability of Organic and Conventional Production in Family Farming: Empirical Evidence From Brazil," Ecological Economics, Elsevier, vol. 150(C), pages 307-314.
    7. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    8. 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.
    9. Caliendo, Marco & Mahlstedt, Robert & Mitnik, Oscar A., 2017. "Unobservable, but unimportant? The relevance of usually unobserved variables for the evaluation of labor market policies," Labour Economics, Elsevier, vol. 46(C), pages 14-25.
    10. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
    11. Wendimu, Mengistu Assefa & Henningsen, Arne & Gibbon, Peter, 2016. "Sugarcane Outgrowers in Ethiopia: “Forced” to Remain Poor?," World Development, Elsevier, vol. 83(C), pages 84-97.
    12. Christian Volpe Martincus, 2010. "Odyssey in International Markets: An Assessment of the Effectiveness of Export Promotion in Latin America and the Caribbean," IDB Publications (Books), Inter-American Development Bank, number 16458, February.
    13. Modou Mar & Nadine Massard, 2021. "Animate the cluster or subsidize collaborative R&D? A multiple overlapping treatments approach to assess the impacts of the French cluster policy [The impact of R&D subsidies on R&D employment comp," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(4), pages 845-867.
    14. Abid Hussain & Muhammad Jehangir Khan & Iftikhar Ahmad, 2016. "Impact of Credit on Education and Healthcare Spending in Rural Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(4), pages 853-870.
    15. Feddersen, Arne & Maennig, Wolfgang, 2012. "Sectoral labour market effects of the 2006 FIFA World Cup," Labour Economics, Elsevier, vol. 19(6), pages 860-869.
    16. Pan, Liqun & Mukhopadhaya, Pundarik & Li, Jing, 2019. "The changing texture of the city-size wage differential in Chinese cities – Effects of skill and identity," China Economic Review, Elsevier, vol. 53(C), pages 191-210.
    17. Hugo Bodory & Lorenzo Camponovo & Martin Huber & Michael Lechner, 2020. "The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(1), pages 183-200, January.
    18. Barbara Casu & Andrew Clare & Anna Sarkisyan & Stephen Thomas, 2013. "Securitization and Bank Performance," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(8), pages 1617-1658, December.
    19. Marco Caliendo & Michel Clement & Dominik Papies & Sabine Scheel-Kopeinig, 2012. "Research Note ---The Cost Impact of Spam Filters: Measuring the Effect of Information System Technologies in Organizations," Information Systems Research, INFORMS, vol. 23(3-part-2), pages 1068-1080, September.
    20. Kristen Capogrossi & Wen You, 2017. "The Influence of School Nutrition Programs on the Weight of Low‐Income Children: A Treatment Effect Analysis," Health Economics, John Wiley & Sons, Ltd., vol. 26(8), pages 980-1000, August.

    More about this item

    Keywords

    Farm Management; Livestock Production/Industries;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:iaae15:212024. 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: AgEcon Search (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.