Estimation of technical efficiency in Czech agriculture with respect to firm heterogeneity
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DOI: 10.17221/23/2010-AGRICECON
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- Efthymios G. Tsionas, 2002.
"Stochastic frontier models with random coefficients,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
- Tsionas, E.G., 2001. "Stochastic Frontier Models with Random Coefficients," Athens University of Economics and Business 130, Athens University of Economics and Business, Department of International and European Economic Studies.
- Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
- Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
- P. Froněk & L. Jelínek & T. Medonos, 2007. "The multicriterial evaluation of agricultural enterprises," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 53(3), pages 123-131.
- Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
- Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.
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Cited by:
- Jerzy Marzec & Andrzej Pisulewski, 2021. "Measurement of technical efficiency in the case of heterogeneity of technologies used between firms - Based on evidence from Polish crop farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(4), pages 152-161.
- Jan TYRYCHTR & Miloš ULMAN & Václav VOSTROVSKÝ, 2015. "Evaluation of the state of the Business Intelligence among small Czech farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(2), pages 63-71.
- Lukáš Čechura, 2012. "Technical efficiency and total factor productivity in Czech agriculture," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 58(4), pages 147-156.
- Marta Arbelo-Pérez & Pilar Pérez-Gómez & Antonio Arbelo, 2023. "Profit efficiency and its determinants in the agricultural sector: A Bayesian approach," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(11), pages 436-445.
- F. Střeleček & J. Lososová & R. Zdeněk, 2011. "Economic results of agricultural enterprises in 2009," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 57(3), pages 103-117.
- Tamara Rudinskaya & Tomas Hlavsa & Martin Hruska, 2019. "Estimation of technical efficiency of Czech farms operating in less favoured areas," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(10), pages 445-453.
- Baoubadi Atozou & Kotchikpa Lawin & Diombare Niang, 2017. "Impact of Weather Index Insurance on Groundnut Farmers’ Technical Efficient in Senegal: A Propensity Score Matching Approach," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 10(5), pages 131-131, September.
- Tamara RUDINSKAYA, 2017. "Heterogeneity and efficiency of food processing companies in the Czech Republic," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 63(9), pages 411-420.
- Kristína KOČIŠOVÁ, 2015. "Application of the DEA on the measurement of efficiency in the EU countries," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(2), pages 51-62.
- Hana URBANCOVÁ & Helena ČERMÁKOVÁ, 2015. "The costs of Age Management in agricultural companies," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(1), pages 14-22.
- Miloslav LAPKA & Eva CUDLÍNOVÁ & J. Sanford RIKOON & Martin PĚLUCHA & Viktor KVETOŇ, 2011. "Rural development in the context of agricultural "green" subsidies: Czech farmers' responses," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 57(6), pages 259-271.
- Marta Arbelo-Pérez & Pilar Pérez-Gómez & Antonio Arbelo, . "Profit efficiency and its determinants in the agricultural sector: A Bayesian approach," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 0.
- Vladimír Kostlivý & Zuzana Fuksová, 2019. "Technical efficiency and its determinants for Czech livestock farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(4), pages 175-184.
- Vladimír Kostlivý & Zuzana Fuksová & Tamara Rudinskaya, 2020. "Drivers of farm performance in Czech crop farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(7), pages 297-306.
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Keywords
firm heterogeneity; technical efficiency; SFA (Stochastic Frontier Analysis); agricultural companies;All these keywords.
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