IDEAS home Printed from https://ideas.repec.org/a/zbw/espost/265236.html
   My bibliography  Save this article

Do coupled subsidies increase milk productivity, land use, herd size and income? Evidence from Kosovo

Author

Listed:
  • Bajrami, Egzon
  • Wailes, Eric J.
  • Dixon, Bruce L.
  • Musliu, Arben
  • Durand-Morat, Alvaro

Abstract

This study assesses the effectiveness of the Subsidy per Head Scheme (SPHS) in increasing milk productivity, land use, herd size and income in dairy farms across the seven regions of Kosovo. SPHS represents one of the largest coupled subsidy programs in the agricultural sector of Kosovo in terms of farmer participation and budget allocation. We use a Propensity Score Matching approach to assess the impact of this program by comparing a group of participants with a group of non-participants during the 2013–2014 farming seasons. We test the robustness of the impact results using four different matching algorithms. Results reveal SPHS was not effective in increasing land use, gross income and farm size (number of cows), although SPHS had a limited impact on improving milk productivity. In addition, the study highlights the need to reformulate coupled subsidies and develop new, complementary strategies that address farmers’ needs more efficiently.

Suggested Citation

  • Bajrami, Egzon & Wailes, Eric J. & Dixon, Bruce L. & Musliu, Arben & Durand-Morat, Alvaro, 2019. "Do coupled subsidies increase milk productivity, land use, herd size and income? Evidence from Kosovo," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 121(3), pages 134-143.
    • Handle: RePEc:zbw:espost:265236
    DOI: 10.7896/j.1913
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/265236/1/Bajrami_2019_coupled_subsidies_Kosovo.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.7896/j.1913?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. Bajrami, Egzon & Wailes, Eric & Dixon, Bruce & Musliu, Arben, 2016. "Are dairy subsidies effective to increase milk productivity and income in Kosovo? A Propensity Score Matching Approach," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235839, Agricultural and Applied Economics Association.
    2. 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.
    3. Barbara Sianesi, 2004. "An Evaluation of the Swedish System of Active Labor Market Programs in the 1990s," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 133-155, February.
    4. Dewbre, Joe & Mishra, Ashok K., 2007. "Impact of Program Payments on Time Allocation and Farm Household Income," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 39(3), pages 489-505, December.
    5. Marian Rizov & Jan Pokrivcak & Pavel Ciaian, 2013. "CAP Subsidies and Productivity of the EU Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(3), pages 537-557, September.
    6. Kabunga, Nassul S., 2014. "Improved dairy cows in Uganda: Pathways to poverty alleviation and improved child nutrition:," IFPRI discussion papers 1328, International Food Policy Research Institute (IFPRI).
    7. Henningsen, Arne & Kumbhakar, Subal C. & Lien, Gudbrand D., 2009. "Econometric Analysis of the Effects of Subsidies on Farm Production in Case of Endogenous Input Quantities," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49728, Agricultural and Applied Economics Association.
    8. Joe Dewbre, 2006. "The Impact of Coupled and Decoupled Government Subsidies on Off-Farm Labor Participation of U.S. Farm Operators," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(2), pages 393-408.
    9. Becerril, Javier & Abdulai, Awudu, 2010. "The Impact of Improved Maize Varieties on Poverty in Mexico: A Propensity Score-Matching Approach," World Development, Elsevier, vol. 38(7), pages 1024-1035, July.
    10. King, Gary & Nielsen, Richard, 2019. "Why Propensity Scores Should Not Be Used for Matching," Political Analysis, Cambridge University Press, vol. 27(4), pages 435-454, October.
    11. Guan Zhengfei & Alfons Oude Lansink, 2006. "The Source of Productivity Growth in Dutch Agriculture: A Perspective from Finance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 644-656.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bajrami, Egzon, 2024. "Evaluating the agricultural policy in Kosovo: Lessons learnt and the pathway forward," EconStor Theses, ZBW - Leibniz Information Centre for Economics, number 299140, June.

    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. Riccardo Turati, 2025. "Networks abroad and culture: global individual-level evidence," Journal of Population Economics, Springer;European Society for Population Economics, vol. 38(1), pages 1-42, March.
    2. Gunther Bensch & Jochen Kluve & Jörg Peters, 2011. "Impacts of rural electrification in Rwanda," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 3(4), pages 567-588, December.
    3. Kamer-Ainur AIVAZ, 2021. "Investigating the Impact of Subsidy Revenues on Turnover at the Level of Agriculture, Forestry and Fishing Companies in the Coastal Area of the Black Sea," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 31-38.
    4. Khafagy, Amr & Vigani, Mauro, 2022. "Technical change and the Common Agricultural Policy," Food Policy, Elsevier, vol. 109(C).
    5. Peters, Jörg & Vance, Colin & Harsdorff, Marek, 2011. "Grid Extension in Rural Benin: Micro-Manufacturers and the Electrification Trap," World Development, Elsevier, vol. 39(5), pages 773-783, May.
    6. Kassie, Menale & Shiferaw, Bekele & Muricho, Geoffrey, 2011. "Agricultural Technology, Crop Income, and Poverty Alleviation in Uganda," World Development, Elsevier, vol. 39(10), pages 1784-1795.
    7. Henningsen, Arne & Kumbhakar, Subal C. & Lien, Gudbrand D., 2009. "Econometric Analysis of the Effects of Subsidies on Farm Production in Case of Endogenous Input Quantities," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49728, Agricultural and Applied Economics Association.
    8. Habimana, Dominique & Haughton, Jonathan & Nkurunziza, Joseph & Haughton, Dominique Marie-Annick, 2021. "Measuring the impact of unconditional cash transfers on consumption and poverty in Rwanda," World Development Perspectives, Elsevier, vol. 23(C).
    9. Ali, Akhter & Hussain, Imtiaz & Rahut, Dil Bahadur & Erenstein, Olaf, 2018. "Laser-land leveling adoption and its impact on water use, crop yields and household income: Empirical evidence from the rice-wheat system of Pakistan Punjab," Food Policy, Elsevier, vol. 77(C), pages 19-32.
    10. Gunther Bensch, & Jochen Kluve & Jörg Peters, 2011. "Impacts of Rural Electrifi cation in Rwanda," Ruhr Economic Papers 0284, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    11. Nawab Khan & Ram L. Ray & Hazem S. Kassem & Farhat Ullah Khan & Muhammad Ihtisham & Shemei Zhang, 2022. "Does the Adoption of Mobile Internet Technology Promote Wheat Productivity? Evidence from Rural Farmers," Sustainability, MDPI, vol. 14(13), pages 1-15, June.
    12. repec:zbw:rwirep:0284 is not listed on IDEAS
    13. Andrea Pufahl & Christoph R. Weiss, 2009. "Evaluating the effects of farm programmes: results from propensity score matching," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(1), pages 79-101, March.
    14. Takahashi, Ryo, 2021. "How to stimulate environmentally friendly consumption: Evidence from a nationwide social experiment in Japan to promote eco-friendly coffee," Ecological Economics, Elsevier, vol. 186(C).
    15. Marco Caliendo & Stefan Tübbicke, 2020. "New evidence on long-term effects of start-up subsidies: matching estimates and their robustness," Empirical Economics, Springer, vol. 59(4), pages 1605-1631, October.
    16. Camboni, Riccardo & Corsini, Alberto & Miniaci, Raffaele & Valbonesi, Paola, 2021. "Mapping fuel poverty risk at the municipal level. A small-scale analysis of Italian Energy Performance Certificate, census and survey data," Energy Policy, Elsevier, vol. 155(C).
    17. Graziella Bertocchi & Marianna Brunetti & Anzelika Zaiceva, 2023. "The Financial Decisions of Immigrant and Native Households: Evidence from Italy," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(1), pages 117-174, March.
    18. Ggombe Kasim Munyegera & Akampumuza Precious, 2018. "The gender gap in firm productivity in Rwanda: Evidence from establishment and household enterprise data," WIDER Working Paper Series wp-2018-100, World Institute for Development Economic Research (UNU-WIDER).
    19. Kodjo Adandohoin & Vigninou Gammadigbe, 2022. "The revenue efficiency consequences of the announcement of a tax transition reform: The case of WAEMU countries," African Development Review, African Development Bank, vol. 34(S1), pages 195-218, July.
    20. Ji, Sisi & Zhu, Zheyi, 2022. "Does higher education matter for health?," Cardiff Economics Working Papers E2022/4, Cardiff University, Cardiff Business School, Economics Section.
    21. Maren Radeny & Elizaphan J. O. Rao & Maurice Juma Ogada & John W. Recha & Dawit Solomon, 2022. "Impacts of climate-smart crop varieties and livestock breeds on the food security of smallholder farmers in Kenya," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(6), pages 1511-1535, December.

    More about this item

    Keywords

    coupled subsidy; propensity score matching; impact evaluation; Kosovo;
    All these keywords.

    JEL classification:

    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

    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:zbw:espost:265236. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zbwkide.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.