A WINDING ROAD FROM INVESTMENT SUPPORT TO THE ECONOMIC GROWTH OF FARMS: EVIDENCE FROM SPATIAL ECONOMETRIC ANALYSIS OF AGRICULTURAL HOLDINGS IN SLOVENIA
Keywords:
rural Development Policy 2007-2013, farm investment support, agricultural economic growth, spatial modelsAbstract
This paper discusses the application of spatial econometric methods to analyse the effects of farm investment support and other relevant determinants affecting the economic performance of farms in Slovenia during the period 2007-2011. The analysis combines farm-level data from administrative sources (Common Monitoring and Evaluation Framework, integrated administrative and Control System) with secondary statistical data describing agricultural structures, socio-economic conditions and geographical conditions. Farm-level data are grouped, as the analysis is carried out at the municipality level (Lau2). Factors affecting change in economic performance between 2007 and 2011 were analysed (i) from farms receiving investment support (ii), from all farms that applied for Common agricultural Policy (CaP) measures during the analysed period and (iii) in relative terms, comparing supported farms with the entire farm population in analysed areas. results show that farm investment support failed to increase revenues on supported farms. instead, investment support only mitigated the general drop in farm revenues. Spatial analysis reveals the presence of spatial heterogeneity of effects on supported farms, while the economic performance of the farming population is spatially correlated.
References
AIS, 2012. The report on the state of agriculture, food, forestry and fisheries in 2011. Review of agricultural markets. Agricultural Institute of Slovenia, Ljubljana.
Anselin, L., 1988a. Spatial Econometrics: Methods and Models.
Kluwer Academic Publishers, Dordrecht.
Anselin, L., 1988b. Lagrange multiplier test diagnostics for spatial dependence and spatial heterogeneity. Geographical Analysis, 20: 1-17.
Anselin, L., 1995. Local indicators of spatial association – LiSa. Geographical Analysis, 27: 93-115.
Anselin, L., 2002. Under the hood: Issues in the specification and the interpretation of spatial regression models. Agricultural Economics, 27: 247-267.
Anselin, L., 2005. Exploring spatial data with GeoDa: a Workbook. University of Illinois, urbana-Champaign, iL.
Anselin, L., A. K. Bera, R. J. G. M. Florax and M. J. Yoon, 1996. Simple diagnostic tests for spatial dependence. Regional Science and Urban Economics, 26: 77-104.
Bivand, R. S., E. J. Pebesma and V. Gómez-Rubio, 2008. applied Spatial Data analysis with r. Springer, new York.
CMEF, 2006. Handbook on Common Monitoring and Evaluation Framework. Guidance document. European Commission, Brussels.
EC, 2005. Council regulation (EC) no 1698/2005, 20 September 2005, on support for rural development by the European agricultural Fund for rural Development (EaFrD). Official Journal of the European Union L277, 1-40. http://eur-lex.europa.eu/LexuriServ/LexuriServ.do?uri= OJ:L:2005:277:0001:0040:En:PDF.
(accessed January 2013)
EC, 2008. Commission regulation (EC) no 1242/2008, 8 December 2008, establishing a Community typology for agricultural holdings. Official Journal of the European Union L335, 3-24. http://eur-lex.europa.eu/LexuriServ/LexuriServ.do?uri=OJ:L:2
:335:0003:24:En:PDF. (accessed June 2013)
EC, 2009. Typology handbook. Community committee for the farm accountancy data network, ri/CC 1500 rev. 3. European Commission, Brussels.
European Commission, 2012. Prospects for agricultural Markets and income in the Eu 2012-2022. European Commission, Brussels.
ECA, 2012. Targeting of aid for the modernisation of agricultural holdings. Special report № 8. European Court of Auditors, Luxembourg. http://www.europarl.europa.eu/meetdocs/2009_2014/ documents/cont/dv/eca_sr82012_/eca_sr82012_en.pdf. (accessed December 2013)
ENRD, 2006. Guidance note C – Ex-ante evaluation guidelines including SEa, European Evaluation Network for Rural Development, Brussels. http://enrd.ec.europa.eu/app_templates/ filedownload.cfm?id=83188C15-a483-1C33-57E9-C49FDF3aa21B. (accessed March 2014)
ENRD, 2009. Guidelines on the mid-term evaluation of the rural development programmes. European Evaluation Network for Rural Development, Brussels. id=6a65BD6F-CB22-6660-
E91-321F04E742E2. (accessed September 2013)
Erjavec, E., M. Rednak and T. Volk, 1999. The European union enlargement – the case of agriculture in Slovenia. Food Policy, 23 (5): 395-409.
Florax, R. J. G. M., R. L. Voortman and J. Brouwer, 2002. Spatial dimensions of precision agriculture: a spatial econometric analysis of millet yield on Sahelian coversands. Agricultural Economics, 27: 425-443.
Getis, A., 2010. Spatial autocorrelation. in: M. M. Fischer and a. Getis (Eds.), Handbook of applied Spatial analysis: Software Tools, Methods and applications. Springer, Berlin, Heidelberg and New York, p. 255-278.
IACS, 2007. integrated administration and Control System, subset of iaCS database. Agency for Agricultural Markets and Rural Development, Ljubljana.
IACS, 2011. integrated administration and Control System, subset of iaCS database. Agency for Agricultural Markets and Rural Development, Ljubljana.
Juvančič, L. and E. Erjavec, 2005. intertemporal analysis of employment decision on agricultural holdings in Slovenia. Agricultural Economics, 33: 153-161.
Juvančič, L. and T. Jaklič, 2008. national report on rD policy design Slovenia. assessing the impact of rural development policies (incl. LEaDEr). Deliverable of the EU Framework 7, project ‘ruDi’.
Juvančič, L., M. Kožar and E. Erjavec, 2004. Survey-based Analysis of Determinants of Income Diversification in Agricultural Households of Slovenia. Die Bodenkultur, 55 (2): 63-71.
Juvančič, L., T. Travnikar, M. Glavan, R. Cvejić and M. Pintar, 2012. Targeting and spatial impacts of agri-environmental support - spatial econometric analysis of agri-environmental measures in Slovenia. in: is transition in European agriculture really over? new dimensions and challenges of transition and post-transition processes in agriculture and food sectors in the European union and Eu acceding and neighbouring countries, pp. 16. http://ageconsearch.umn.edu/bitstream/139491/2/Juvancic.pdf. (accessed September 2013)
Kelejian, H. H. and D. P Robinson, 1995. Spatial correlation: a suggested alternative to the autoregressive model. in: L. anselin and r. Florax (Eds.), new directions in spatial econometrics. Springer-Verlag, Berlin, p. 75-95.
Medonos, T., T. Ratinger, M. Hruška and J. Špička, 2012. The assessment of the effects on investment support measures of the rural development programmes: the case of the Czech republic. Agris on-line Papers in Economics and Informatics, 4: 35-48.
MKGP, 2010. Poročilo o vmesnem vrednotenju Programa razvoja podeželja 2007–2013, Ministrstvo RS za kmetijstvo, gozdarstvo in prehrano, The mid-term evaluation of the rural Development Programme 2007-2013. Ministry of Agriculture, Forestry and Food, Slovenia, Ljubljana (Sl).
RUDI, 2010. assessing the impacts of rural Development Policies (incl. LEaDEr) - Extended Policy Brief, Final Conference of the EU FP 7, project ‘rudi’. http://www.rudi-europe.net/uploads/media/ruDi_Extended_Policy_Brief_2010_01.pdf. (accessed March, 2014)
Ruttan, V. W., 2001. Technology, Growth, and Development: an induced innovation Perspective. Oxford University Press, new York.
Slabe, A., B. Lampič and L. Juvančič, 2011. Potentials of organic farming for sustainable local food supply in Slovenia. Delo, 36:
-109 (Sl).
SORS, 2010. agricultural Census 2010 Database. Statistical Office of the Republic of Slovenia, Ljubljana. http://pxweb.stat.si/ pxweb/Database/agriculture_2010/agriculture_2010.asp. (accessed March, 2013)
SORS, 2011. Statistical Yearbook 2011, General socio-demographic data. Statistical office of the Republic of Slovenia, Ljubljana. http://www.stat.si/letopis/LetopisPrvaStran.aspx?lang=en. (accessed March, 2013)
SORS, 2013. annual report 2013, General socio-demographic data. Statistical office of the Republic of Slovenia, Ljubljana.
Sunding, D. and D. Zilberman, 2001. The agricultural innovation process: research and technology adoption in a changing agricultural sector. in: B. L. Gardner and G. C. rausser (Eds). Handbook of agricultural Economics. Elsevier, amsterdam, 1: 207-261.
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