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Efficiency and Competitiveness of Kosovo Raspberry Producers

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  • Vuciterna, Rina
  • Thomsen, Michael
  • Popp, Jennie
  • Musliu, Arben

Abstract

Raspberry production is a growing industry in Kosovo. In addition to private investments, this growth has been supported by grants, subsidies, and direct investment from international donor organizations and governmental institutions. At present, most of the commercially produced raspberries in Kosovo are produced on small farms, harvested by farmers and packed manually by collection centers, and then sold as frozen for the export market. The long-term viability and continued growth of raspberry production in Kosovo depends on the industry being able to compete in export markets and hold its own against production regions in Poland, Serbia, and Russia. Our study measures the efficiency of Kosovo raspberry producers with an aim towards enhancing industry competitiveness. We collected primary data on raspberry farmers in Kosovo during the summer of 2016. Using these data, we examine producer efficiency with an input oriented data envelopment analysis. Our findings suggest that efficiency improves with production experience and that outreach efforts could emphasize labor management.

Suggested Citation

  • Vuciterna, Rina & Thomsen, Michael & Popp, Jennie & Musliu, Arben, 2017. "Efficiency and Competitiveness of Kosovo Raspberry Producers," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252770, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea17:252770
    DOI: 10.22004/ag.econ.252770
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    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Kelvin Balcombe & Iain Fraser & Jae Kim, 2006. "Estimating technical efficiency of Australian dairy farms using alternative frontier methodologies," Applied Economics, Taylor & Francis Journals, vol. 38(19), pages 2221-2236.
    3. Pınar Kaya Samut & Reyhan Cafrı, 2016. "Analysis of the Efficiency Determinants of Health Systems in OECD Countries by DEA and Panel Tobit," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(1), pages 113-132, October.
    4. William W. Cooper & Kyung Sam Park & Gang Yu, 1999. "IDEA and AR-IDEA: Models for Dealing with Imprecise Data in DEA," Management Science, INFORMS, vol. 45(4), pages 597-607, April.
    5. Bouali Guesmi & Teresa Serra & Allen Featherstone, 2015. "Technical efficiency of Kansas arable crop farms: a local maximum likelihood approach," Agricultural Economics, International Association of Agricultural Economists, vol. 46(6), pages 703-713, November.
    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. Thanh Pham Thien Nguyen & Son Hong Nghiem & Eduardo Roca & Parmendra Sharma, 2016. "Bank reforms and efficiency in Vietnamese banks: evidence based on SFA and DEA," Applied Economics, Taylor & Francis Journals, vol. 48(30), pages 2822-2835, June.
    8. Hashem Omrani & Mehdi Keshavarz, 2016. "A performance evaluation model for supply chain of shipping company in Iran: an application of the relational network DEA," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(1), pages 121-135, January.
    9. C Kao & S-Tai Liu, 2000. "Data envelopment analysis with missing data: an application to University libraries in Taiwan," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(8), pages 897-905, August.
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