IDEAS home Printed from https://ideas.repec.org/p/ags/gewi13/156136.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/156136/files/A2-Kantelhardt-Development_c.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.156136?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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, September.
    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).
    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. Kantelhardt, J. & Kapfer, Martin & Franzel, M. & Kirchweger, Stefan, 2013. "Development of Total Factor Productivity in Alpine Farming - A Malmquist index approach -," 2013 Second Congress, June 6-7, 2013, Parma, Italy 149897, Italian Association of Agricultural and Applied Economics (AIEAA).
    2. Hoop, Daniel & Mack, Gabriele & Mann, Stefan & Schmid, Dierk, 2014. "On the dynamics of agricultural labour input and their impact on productivity and income: an empirical study of Swiss family farms," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 3(4), pages 1-11.
    3. George Halkos & Roman Matousek & Nickolaos Tzeremes, 2016. "Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 47-77, January.
    4. Md Aslam Mia & V. G. R. Chandran, 2016. "Measuring Financial and Social Outreach Productivity of Microfinance Institutions in Bangladesh," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(2), pages 505-527, June.
    5. Musshoff, Oliver & Hirschauer, Norbert & Herink, Michael, 2009. "Bei welchen Problemstrukturen sind Data-Envelopment-Analysen sinnvoll? Eine kritische Würdigung," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 58(02), pages 1-11, February.
    6. Ole Bent Olesen & Niels Christian Petersen & Victor V. Podinovski, 2022. "Scale characteristics of variable returns-to-scale production technologies with ratio inputs and outputs," Annals of Operations Research, Springer, vol. 318(1), pages 383-423, November.
    7. Pereira, Deivison da Silveira & Soares de Mello, João Carlos C.B., 2021. "Efficiency evaluation of Brazilian airlines operations considering the Covid-19 outbreak," Journal of Air Transport Management, Elsevier, vol. 91(C).
    8. Takashi Hiraide & Shinya Hanaoka & Takuma Matsuda, 2022. "The Efficiency of Document and Border Procedures for International Trade," Sustainability, MDPI, vol. 14(14), pages 1-21, July.
    9. Murilo Wohlgemuth & Carlos Ernani Fries & Ângelo Márcio Oliveira Sant’Anna & Ricardo Giglio & Diego Castro Fettermann, 2020. "Assessment of the technical efficiency of Brazilian logistic operators using data envelopment analysis and one inflated beta regression," Annals of Operations Research, Springer, vol. 286(1), pages 703-717, March.
    10. Dyckhoff, Harald & Souren, Rainer, 2022. "Integrating multiple criteria decision analysis and production theory for performance evaluation: Framework and review," European Journal of Operational Research, Elsevier, vol. 297(3), pages 795-816.
    11. Dewita, Yulia & Yen, Barbara T.H. & Burke, Matthew, 2018. "The effect of transport cost on housing affordability: Experiences from the Bandung Metropolitan Area, Indonesia," Land Use Policy, Elsevier, vol. 79(C), pages 507-519.
    12. Chen, Chien-Ming, 2013. "Super efficiencies or super inefficiencies? Insights from a joint computation model for slacks-based measures in DEA," European Journal of Operational Research, Elsevier, vol. 226(2), pages 258-267.
    13. Esteve, Miriam & Aparicio, Juan & Rodriguez-Sala, Jesus J. & Zhu, Joe, 2023. "Random Forests and the measurement of super-efficiency in the context of Free Disposal Hull," European Journal of Operational Research, Elsevier, vol. 304(2), pages 729-744.
    14. Henriques, C.O. & Chavez, J.M. & Gouveia, M.C. & Marcenaro-Gutierrez, O.D., 2022. "Efficiency of secondary schools in Ecuador: A value based DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    15. Berger, Michael & Sommersguter-Reichmann, Margit & Czypionka, Thomas, 2020. "Determinants of soft budget constraints: how public debt affects hospital performance in Austria," LSE Research Online Documents on Economics 116865, London School of Economics and Political Science, LSE Library.
    16. Md Ali & K. Klein, 2014. "Water Use Efficiency and Productivity of the Irrigation Districts in Southern Alberta," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2751-2766, August.
    17. Vincenzo Patrizii & Anna Pettini & Giuliano Resce, 2017. "The Cost of Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(3), pages 985-1010, September.
    18. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Jafari, Ali & Mohammadi, Ali, 2011. "Optimization of energy consumption for soybean production using Data Envelopment Analysis (DEA) approach," Applied Energy, Elsevier, vol. 88(11), pages 3765-3772.
    19. Beltrán-Esteve, Mercedes & Picazo-Tadeo, Andrés J., 2017. "Assessing environmental performance in the European Union: Eco-innovation versus catching-up," Energy Policy, Elsevier, vol. 104(C), pages 240-252.
    20. Apostolos Christopoulos & Ioannis Dokas & Sofia Katsimardou & Eleftherios Spyromitros, 2022. "The Malmquist Productivity measure for UK-listed firms in the aftermath of the global financial crisis," Operational Research, Springer, vol. 22(2), pages 1617-1634, April.

    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:gewi13:156136. 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/gewisea.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.