Weitere Kapitel dieses Buchs durch Wischen aufrufen
One of the major goals of the Agenda 2000 for EU agriculture was to increase its market orientation and improve the competitiveness level of the primary sector of member states. In order to evaluate if this goal has been reached, both Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA) models have been applied. This research focuses on the 2003–2011 period. Inputs include agricultural land, labour and fixed capital consumption, and output is the total agricultural output of each country. Both models prove that there is an increasing trend on mean efficiency levels of the primary sector of member states of the EU. The application of the Mann-Whitney U-test prove that eastern European countries, which recently became EU members, are significantly less efficient, compared with the older member states. This finding applies for both efficiency measurement methodologies, strengthening in this way the validity of the results.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
Banker, R. D., Charnes, A., & Cooper, W. (1984). Some models for estimating technical and scale inefficiencies in Data Envelopment Analysis. Management Science, 30(9), 1078–1092. CrossRef
Banker, R. D., Conrad, R. F., & Strauss, R. P. (1986). A comparative application of data envelopment analysis and translog methods: an illustrative study of hospital production. Management Science, 32(1), 30–44. CrossRef
Battese, G. E., & Coelli, T. J. (1992). Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India. Journal of Productivity Analysis, 3, 153–169. CrossRef
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. CrossRef
Coelli, T. J., Rao, D. S. P., O Donnel, C. G., & Battese, G. E. (2005). An introduction to efficiency and productivity analysis (2nd ed.). New York: Springer.
Chau, N., & de Gorter, H. (2005). Disentangling the consequences of direct payment schemes in agriculture on fixed costs, exit, and output. American Journal of Agricultural Economics, 87(5), 1174–1181. CrossRef
Cooper, W. W., Seiford, L. M., & Tone, K. (2000). Data envelopment analysis: A comprehensive text with models, applications, references and dea-solver software. Boston: Kluwer.
Eurostat (2013) Retrieved from http://epp.eurostat.ec.europa.eu/portal/page/portal/statistics/search_database.
Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society A, 120(3), 253–281. CrossRef
Femenia, F., Gohin, A., & Carpentier, A. (2010). The decoupling of farm programs: Revisiting the wealth effect. American Journal of Agricultural Economics, 92(3), 836–848. CrossRef
Hadley, D. (2006). Patterns in technical efficiency and technical change at the farm-level in england and wales, 1982–2002. Journal of Agricultural Economics, 57(1), 81–100. CrossRef
Headey, D., Alauddin, M., & Prasada Rao, D. (2010). Explaining agricultural productivity growth: an international perspective. Agricultural Economics, 41, 1–14. CrossRef
Hennessy, D. (1998). Production effects of income support under uncertainty. American Journal of Agricultural Economics, 80(February), 46–57. CrossRef
Iraizoz, B., Bardaji, I., & Rapun, M. (2005). The Spanish beef sector in the 1990s: Impact of the BSE crisis on efficiency and profitability. Applied Economics, 37(4), 473–484. CrossRef
Karagiannis, G., & Sarris, A. (2005). Measuring and explaining scale efficiency with the parametric approach: the case of Greek tobacco growers. Agricultural Economics, 33(s3), 441–451. CrossRef
Key, N., Lubowski, R., & Roberts, M. (2005). Farm-level production effects from participation in government commodity programs: Did the 1996 federal agricultural improvement and reform act make a difference? American Journal of Agricultural Economics, 87(5), 1211–1219. CrossRef
Madau, F. (2012). Technical and scale efficiency in the Italian citrus farming: A comparison between stochastic frontier analysis (SFA) and data envelopment analysis (DEA) models. Munich Personal RePEc Archive MPRA Paper No. 41403.
Mann, H. B., & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18(50), 50–60. CrossRef
Polyzos, S., Niavis, S., & Pnevmatikos, T. (2012). Longitudinal evaluation of Greek regional policies using window data envelopment analysis. MIBES Transactions 6(1), 53–65.
Rezitis, A. N., Tsiboukas, K., & Tsoukalas, S. (2003). Investigation of factors influencing the technical efficiency of agricultural producers participating in farm credit programs: The case of Greece. Journal of Agricultural and Applied Economics, 35(03), 529–542.
Serasinghe, R., Mahipala, M., & Gunaratne, L. (2003). Comparison of stochastic frontier analysis (SFA) and data envelopment analysis (DEA) to evaluate technical efficiency: Illustrated by efficiency analysis of cattle farming systems in up- country wet-zone of Sri Lanka. Tropical Agricultural Research, 15, 217–225.
Serra, T., Zilberman, D., Goodwin, B. K., & Featherstone, A. (2006). Effects of decoupling on the mean and variability of output. European Review of Agricultural Economics, 33(3), 269–288.
Sharma, K. R., Leung, P., & Zaleski, H. M. (1997). Productive efficiency of the swine industry in Hawaii: Stochastic frontier vs. data envelopment analysis. Journal of Productivity Analysis, 8(4), 447–459. CrossRef
Skuras, D., Tsekouras, K., Dimara, E., & Tzelepis, D. (2006). The effects of regional capital subsidies on productivity growth: A case study of the Greek food and beverage manufacturing industry. Journal of Regional Science, 46(2), 355–381. CrossRef
Wang, T.-F., Cullinane, K., & Song, D.-W. (2005). Container Port Production and Economic Efficiency. New York: Palgrave-McMillan. CrossRef
Zamanian, Gh., Shahabinejad, V., & Yaghoubi, M. (2013). Application of DEA and SFA on the measurement of agriculturaltechnical efficiency in MENA countries. International Journal of Applied Operational Research, 3(2), 43–51.
Zhu, J. (2003). Quantitative models for performance evaluation and benchmarking: data envelopment analysis with spreadsheets. Boston: Kluwer.
Zhu, X., & Lansink, A. L. (2008). Technical efficiency of the crop farms under the various CAP reforms: Empirical studies for Germany, The Netherlands and Sweden. Paper prepared for presentation at the 107th EAAE seminar modelling of agricultural and rural development policies, Sevilla, Spain.
- Assessing the Evolution of Technical Efficiency of Agriculture in EU Countries: Is There a Role for the Agenda 2000?
- Chapter 18
Neuer Inhalt/© Stellmach, Neuer Inhalt/© Maturus, Pluta Logo/© Pluta, digitale Transformation/© Maksym Yemelyanov | Fotolia