IDEAS home Printed from https://ideas.repec.org/p/ags/iaae15/212005.html
   My bibliography  Save this paper

Modelling the effects of low-input dairy farming using bookkeeping data from Austria

Author

Listed:
  • Kirchweger, Stefan
  • Eder, Michael
  • Kantelhardt, Jochen

Abstract

Despite the ongoing trend of higher intensities in dairy farming, some farmers select rather low-input systems. We identify such system in an agricultural bookkeeping dataset and assess economic effects of this system selection under volatile prices situations using cluster analysis and direct covariates matching. We find one lowinput cluster with low levels of input use and three clusters with rather higher input levels. Those clusters differ in site conditions, farm size and milk production. After applying the matching methodology, the results indicate that choosing a low-input system does not affect farm income but reduces the work load and borrowed capital even under volatile markets.

Suggested Citation

  • Kirchweger, Stefan & Eder, Michael & Kantelhardt, Jochen, 2015. "Modelling the effects of low-input dairy farming using bookkeeping data from Austria," 2015 Conference, August 9-14, 2015, Milan, Italy 212005, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae15:212005
    DOI: 10.22004/ag.econ.212005
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/212005/files/Kirchweger-Modelling%20the%20effects%20of%20low-input%20dairy%20farming%20using%20bookkeeping%20data-299.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.212005?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. Álvarez, Antonio & del Corral, Julio & Solís, Daniel & Pérez, José Antonio, 2007. "Does Intensification Help to Improve the Economic Efficiency of Dairy Farms?," Efficiency Series Papers 2007/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    5. 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.
    6. Reinhard, Stijn & Knox Lovell, C. A. & Thijssen, Geert J., 2000. "Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA," European Journal of Operational Research, Elsevier, vol. 121(2), pages 287-303, March.
    7. Antonio Alvarez & Julio del Corral, 2010. "Identifying different technologies using a latent class model: extensive versus intensive dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 37(2), pages 231-250, June.
    8. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
    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. Calani, Mauricio & Paillacar, Manuel, 2022. "The pass-through of loan-loss-provisioning on mortgage lending: Evidence from a regulatory change," Journal of Banking & Finance, Elsevier, vol. 135(C).
    3. 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.
    4. Carlos A. Flores & Oscar A. Mitnik, 2013. "Comparing Treatments across Labor Markets: An Assessment of Nonexperimental Multiple-Treatment Strategies," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1691-1707, December.
    5. 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.
    6. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand," NBER Technical Working Papers 0330, National Bureau of Economic Research, Inc.
    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. Lechner, Michael & Smith, Jeffrey, 2007. "What is the value added by caseworkers?," Labour Economics, Elsevier, vol. 14(2), pages 135-151, April.
    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. Jeffrey Smith & Arthur Sweetman, 2016. "Viewpoint: Estimating the causal effects of policies and programs," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 871-905, August.
    11. Jung, Suhyun & Polasky, Stephen, 2018. "Partnerships to prevent deforestation in the Amazon," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 498-516.
    12. Natalia Pimenta Monteiro, 2010. "Using propensity matching estimators to evaluate the impact of privatization on wages," Applied Economics, Taylor & Francis Journals, vol. 42(10), pages 1293-1313.
    13. Lajos Baráth & Imre Fertő & Štefan Bojnec, 2020. "The Effect of Investment, LFA and Agri‐environmental Subsidies on the Components of Total Factor Productivity: The Case of Slovenian Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 853-876, September.
    14. Ferraro, Paul J. & Miranda, Juan José, 2014. "The performance of non-experimental designs in the evaluation of environmental programs: A design-replication study using a large-scale randomized experiment as a benchmark," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 344-365.
    15. 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.
    16. Marcus Eliason & Donald Storrie, 2009. "Does Job Loss Shorten Life?," Journal of Human Resources, University of Wisconsin Press, vol. 44(2).
    17. 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.
    18. 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.
    19. Feddersen, Arne & Maennig, Wolfgang, 2012. "Sectoral labour market effects of the 2006 FIFA World Cup," Labour Economics, Elsevier, vol. 19(6), pages 860-869.
    20. Rodrigo A. Arriagada, & Paul J. Ferraro & Erin O. Sills & Subhrendu K. Pattanayak & Silvia Cordero-Sancho, 2012. "Do Payments for Environmental Services Affect Forest Cover? A Farm-Level Evaluation from Costa Rica," Land Economics, University of Wisconsin Press, vol. 88(2), pages 382-399.

    More about this item

    Keywords

    Agricultural and Food Policy; Farm Management; Livestock Production/Industries;
    All these keywords.

    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:iaae15:212005. 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.