Author

PhD in Food science ASGEAR (Association of Economic and Geographical Studies in Rural Areas) Via Salaria per L’Aquila, 76 scala A, Rieti, Italy

Abstract

In many European states such as Spain and Italy there has been a significant growth of organic utilizable surface as a consequence of both a change in the model of agricultural production and also in order to satisfy arising demand of organic food. The purpose of this research was to investigate the level of technical, allocative and economic efficiency in Italian olive farms with two different system of farming as organic versus conventional using the dataset FADN (acronym of Farm Accountancy Data Network), which is a standardized database set up by the European Union to evaluate the impact of some actions correlated to the Common Agricultural Policy on farmers. The efficiency was investigated using a non parametric quantitative methodology called Data Envelopment Analysis or DEA. The results pointed out as organic olive farmers are more efficiently than conventional farmers even if allocative efficiency was lower in many of analyzed farms due to some pivotal variables such as land, agrarian capital and labor capital, which directly with the independent variable farm net income.

Keywords

1. Andersen, P., & Petersen, N. (1993). A procedure for ranking efficient units in data envelopment analysis. Management Science, 39(10):1261-1264.
2. Artukoglu, M. M., Olgun, A., & Adanacioglu, H. (2010). The efficiency analysis of organic and conventional olive farms: case of Turkey. Agric. Econ. Czech, 56(2): 89-96.
3. Asteriou, D., & Hall, S.G. (2011). Applied Econometrics. New York: Palgrave Macmillian.
4. Baltagi, B. H. (2011). Econometrics. Berlin, Heidelberg: Springer-Verlag.
5. Battese, G. E. (1992). Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics. Agricultural Economics, 7: 185-208.
6. Bayramoglu, Z., & Gundogmus, E. (2008). Cost efficiency on organic farming: a comparison between organic and conventional raisin-producing households in Turkey. Spanish Journal of Agricultural Research, 6(1):3-11.
7. Bertizzolo, G. (2013). Consumi Bio. Una crescita che ha sviluppato canali distributivi alternativi. Retrieved June 10, 2014 from http://www.blogbiologico.it/agricoltura-biologica/consumi-bio-italia-una-crescita-che-ha-prima-fatto-nascere-poi-consolidato-canali-distributivi-alternativi/.
8. Bhagavath, V. (2009). Technical Efficiency Measurement by Data Envelopment Analysis: An Application in Transportation. Alliance Journal of Business Research. Retrieved from http://www.ajbr.org/
9. Bielik, P., & Rajcaniova, M. (2004). Scale efficiency of agricultural enterprises in Slovakia. Agric. Econ. Czech, 50(8):331-335.
10.Biobank (2014). Dati Biobank. Retrieved from http://www.biobank.it/it/BIO-biobank.asp?catid=4& act=ddoc.
11.Bojnec, S., & Latruffe L. (2008). Measures of farm business efficiency. Industrial Management & Data Systems, 108(2): 258-270.
12.Charnes, A., & Cooper, W.W. (1962). Programming with linear fractional functionals. Naval Research Logistics Quarterly, 9(3-4): 181-186.
13.Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the Efficiency of Decision Making Units. European Journal of Operational Research, 2(6): 429–444.
14.Cisilino, F., & Madau, F. A. (2007). Organic and Conventional Farming: a Comparison Analysis through the Italian FADN. In I Mediterranean Conference of Agro-Food Social Scientists. 103rd EAAE Seminar ‘Adding Value to the Agro-Food Supply Chain in the Future Euromediterranean Space, (pp: 1-22). Barcelona: EAAE.
15.Coelli, T. (1996). Recent developments in frontier modelling and efficiency measurement. Australian Journal of agricultural economics, 39(3): 219-245.
16.Doyle, J., & Green, R. (1994). Efficiency and cross-efficiency in DEA: derivations, meanings and uses. Journal of Operational Research Society, 45(5): 567-578.
17. EUROSTAT (2014). Statistics on Agriculture and Fisheries: Organic farming. Retrieved from http://epp.eurostat.ec.europa.eu/portal/page/portal/organic_farming/data/database.
18. Farrell, M. O. (1957). The measurement of productive efficiency. Journal of Royal Statistical Society, 120: 253-281.
19. FIBL Research Institute of Organic Agriculture. (2014). Organic farming statistics. Retrieved from http://www.fibl.org/en/themes/organic-farming-statistics.html).
20.Galluzzo, N. (2008). Analisi economica, indagini di marketing e prospettive operative dell'olivicoltura nelle zone interne della regione Lazio: un caso di studio nell'area di produzione dell'olio Sabina DOP. Roma: Aracne editrice.
21.Galluzzo N. (2009a). Agriturismo e distretti per la valorizzazione delle aree rurali. Aspetti generali e applicativi su alcuni casi di studio. Roma: Aracne editrice.
22.Galluzzo N. (2009b). Applicazione di modelli quantitativi per l'analisi della geografia agraria italiana e per l'interpretazione della specializzazione produttiva territoriale. Roma: Aracne editrice.
23.Galluzzo, N. (2013). Farm dimension and efficiency in Italian agriculture: a quantitative approach. American Journal of Rural Development, 1(2):26-32.
24.Hadad, Y., Friedman, L., & Hanani, M. Z. (2007). Measuring efficiency of restaurants using the data envelopment analysis methodology. Computer Modelling and New Technologies, 11(4): 25-35.
25. INEA (Ed. Istituto Nazionale di Economia Agraria) (2012). Bioreport 2012. L’agricoltura biologica in Italia. Retrieved from http://www.inea.it/-/bioreport-2012-l-agricoltura-biologica-in-italia
26. INEA (Ed. Istituto Nazionale di Economia Agraria). (2013). Bioreport 2013. L’agricoltura biologica in Italia. Retrieved from http://www.inea.it/-/bioreport-2013-l-agricoltura-biologica-in-italia.
27. INEA (Istituto Nazionale di Economia Agraria). (2014). Rete d’Informazione Contabile Agraria (RICA). Retrieved from http://www.rica.inea.it/public/it/area.php.
28. ISMEA (Ed. Istituto di Servizi per il Mercato Agricolo Alimentare) (2014). Report prodotti biologici. Focus sulla domanda nazionale. Retrievedhttp://www.ismea.it/flex/cm/pages/ServeBLOB.php/L/IT/IDPagina/7176.
29.Kumbhakar, S. C., Tsionas, E. G., & Sipilainen, T. (2009). Joint estimation of technology choice and technical efficiency: an application to organic and conventional dairy farming. Journal of Productive Analysis, 31(3): 151-161.
30. Lansink, A. O., Pietola, K., & Backman, S. (2002). Efficiency and productivity of conventional and organic farms in Finland 1994-1997. European Review of Agricultural Economics, 29(1): 51-65.
31. Latruffe, L., & Nauges, C. (2014). Technical efficiency and conversion to organic farming: the case of France. European Review of Agricultural Economics, 41(2): 227-253.
32.Madau, F.A. (2006). Technical Efficiency in Organic Farming: Evidence from Italian Cereal Farms. Agricultural Economics Review, 8(1): 5-21.
33. Papadas, C. T. (1991). Technical efficiency and farm size: a non-parametric frontier analysis. In: (ed) University of Minnesota, Institute of agriculture, forestry and home economics. Staff Paper series P91-53. Retrieved from http://purl.umn.edu/13679.
34. SINAB (Sistema d’Informazione Nazionale sull’Agricoltura Biologica) (2014). Bio in cifre 2014. Retrieved from http://www.sinab.it/sites/default/files/ share/bio%20in%20cifre%202014_1.pdf
35. Torazza, V. (2010). Grocery: la crescita del biologico richiede investimenti in comunicazione. Mark up, 184. Retrieved from http://www.mark-up.it/grocery-la-crescita-del-biologico-richiede-investimenti-in-comunicazione/.
36. Tzouvelekas, V., Pantzios, C. J., & Fotopulos C. (2002). Empirical evidence of technical levels in Greek organic and conventional farms. Agricultural Economics Review, 3(2): 49-60.
37.Verbeek, M. (2006). Econometria. Bologna: Zanichelli.