A two-stage DEA model to evaluate agricultural efficiency in case of Serbian districts

Author:

Marcikić-Horvat AleksandraORCID,Radovanov BorisORCID,Popescu Gheorghe,Panaitescu CasenORCID

Publisher

Centre for Evaluation in Education and Science (CEON/CEES)

Reference30 articles.

1. Bagchi, M., Rahman, S., & Shunbo, Y. (2019). Growth in Agricultural Productivity and Its Components in Bangladeshi Regions (1987-2009): An Application of Bootstrapped Data Envelopment Analysis (DEA). Economies, 7(2), 1-16. DOI: 10.3390/economies7020037;

2. Banker R.D., Charnes A., Cooper W.W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092;

3. Bojnec S., Ferto I., Jambor A., & Toth J. (2012). Determinants of technical efficiency in agriculture in New EU Member States from Central and Eastern Europe. Acta Oeconomica, 64(2), 197-217. doi:10.1556/AOecon.64.2014.2.4;

4. Ciric, Z., Stojic, D., Sedlak, O., Marcikic Horvat, A., Kleut, Z. (2019). Innovation Model of Agricultural Technologies Based on Intuitionistic Fuzzy Sets. Sustainability 2019, 11(19), 5457; https://doi.org/10.3390/su11195457;

5. Fazekaš, T.; Bobera, D.; Ćirić, Z. (2017). Ecologically and Economically Sustainable Agricultural Transportation Based on Advanced Information Technologies. Economics of Agriculture, 64(2), 739-750. https://doi.org/10.5937/ ekoPolj1702739F;

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