Zacytuj

AIGNER, D. J. – CHU, S. F. 1968. On Estimating the Industry Production Function. In American Economic Review, 1968, no. 58, p. 826–839Search in Google Scholar

AIGNER, D. J. – LOVELL, C. A. – SCHMIDT, P. 1977. Formulation and Estimation of Stochastic Frontier Production Function Models. In Journal of Econometrics, vol. 6, 1977, no. 2, p. 1–37.Search in Google Scholar

BANKER, R. D. – MOREY, R. C. 1986. Efficiency Analysis for Exogenously Fixed Inputs and Outputs. In Operations Research, vol. 34, 1986, no. 5, p. 13–52.Search in Google Scholar

CHARNES, A. – COOPER, W. W. – RHODES, E. 1978. Measuring the efficiency of decision making units. In European Journal of Operational Research, 1978, no. 2, p. 429– 444.Search in Google Scholar

COELLI, T. J. 1995. Recent development in Frontier modelling and Efficiency measurement. In Australian Journal of Agricultural Economics, 1995, p. 219–245. DOI: http://dx.doi.org/10.1111/j.1467-8489.1995.tb00552.x.Search in Google Scholar

COOPER, W. W. – SEIFORD, L. M. – ZHU, J. 2011. Handbook on Data Envelopment Analysis. London : Springer, 2011. ISBN 978-1-4419-6151-8.Search in Google Scholar

FARELL, M. J. 1957. The Measurement of Productive Efficiency. In Journal of the Royul Statistical Society. A CXX, 1957, Part 3, no. 253–290.Search in Google Scholar

GREENE, W. 2005. Reconsidering heterogeneity in panel data estimators of the stochastic frontier model. In Journal of Econometrics. 2005, no. 126, pp. 269–303. DOI: http://dx.doi.org/10.1016/j.jeconom.2004.05.003.Search in Google Scholar

MBURU, S. – ACKELLO-OGUTU, Ch. – MULWA, R. 2014. Analysis of Economic Efficiency and Farm Size: A Case Study of Wheat Farmers in Nakuru District, Kenya. In Economics Research International, 2014, ID 802706, p. 10. DOI: http://dx.doi.org/10.1155/2014/802706.Search in Google Scholar

PITT, M. M. – LEE, L. F. 1981. Measurement and Sources of Technical Inefficiency in the Indonesian Weaving Industry. In Journal of Development Economics, 1981, no. 9, p. 43–64.Search in Google Scholar

PODINOVSKI, V. V. 2004. Production trade-offs and weigh trestrictions in data envelopment analysis. In Journal of the Operational Research Society, 2004, no. 55, p. 1311–1322.Search in Google Scholar

SHARMA, B. – INGALLS, R. G. – JONES, C. L. – KHANCHI, A. 2013. Biomasssupplychain design and analysis: Basis, overview, modeling, challenges and future. In Renewable and Sustainable Energy Reviews, 2013, no. 24, pp. 608–627. DOI: http://dx.doi.org/10.1016/j.rser.2013.03.049.Search in Google Scholar

SOURIE, J. C. – ROZAKIS, S. Bio-fuelproductionsystem in France: an Economic Analysis. In Biomass and Bioenergy, 2001, no. 20, pp. 483–489.10.1016/S0961-9534(01)00007-1Search in Google Scholar

VANCE, E. D. – AUST, W. M. – STRAHM, B. D. – FROESE, R. E. – HARRISON, R. B. – MORRIS, L. A. 2014. Biomass Harvesting and Soil Productivity: Isthe Science Meeting our Policy Needs? In Soil Science Society of American Journal, 2014, no. 78, pp. 95–104. DOI: http://dx.doi.org/10.2136/sssaj2013.08.0323nafsc.Search in Google Scholar

WATKINS K. B. et al. 2013. Measuring Technical, Allocative, and Economic Efficiency of Rice Production in Arkansas using Data Envelopment Analysis. In Annual Meeting, February 2–5, 2013, Orlando, Florida, no. 142962. Southern Agricultural Economics Association, 2013.Search in Google Scholar

ZÚNIGA, G. 2013. Total Factor Productivity and the Bio Economy Effects. In Journal of Agricultural Studies, 2013, no. 1. DOI: http://dx.doi.org/10.5296/jas.v1i1.2383.Search in Google Scholar

eISSN:
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Język:
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Industrial Chemistry, Green and Sustainable Technology