A new classification of European Union regions: A decision support tool for policymakers

  • Rosa M. Fanelli Università degli Studi of Molise, Dept. of Economics, Via Francesco De Sanctis. 86100 Campobasso
Keywords: agricultural systems, common agricultural policy, Farm Accountancy Data Network, hierarchical cluster analysis, indicators, principal component analysis

Abstract

The classification of agricultural and territorial systems is essential to improve the comparability of regions for the development programmers of the Common Agricultural Policy (CAP), to give new tools of intervention to policymakers and to increase farmers’ knowledge. Analysis of the principal characteristics of these systems is essential during a time in which the new CAP is being designed for the period 2021-2027. The research is focused on the analysis of the agricultural features of 228 regional areas (NUTS 2) of the 28 European Union (EU) countries. It considers two specific sets of environmental and socio-economic indicators provided by the Farm Accountancy Data Network (FADN). The main factors that differentiate agricultural systems in EU regions from one another were identified with the application of principal component analysis, while the classification of the same regions in homogeneous groups was carried out through hierarchical cluster analysis. The results clearly show that some groups of “homogeneous” EU regions such as the Natura 2000 area and the family-run agricultural system, which have weaker agricultural structures than the average of the 228 EU regions considered in this study, have a greater need for the restructuring of their agricultural systems than others (e.g., the professional agricultural system and the food industry system). The results confirm that policy design should not consider EU agriculture as a whole, but should take into account the environmental and structural specificities of agricultural holdings, as well as the different training levels of farm managers.

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References

Andersen E, Elbersen B, Godeschalk F, Verhoog D, 2007. Farm management indicators and farm typologies as a basis for assessments in a changing policy environment. J Environ Manage 82 (3): 353. https://doi.org/10.1016/j.jenvman.2006.04.021

Bednarikova Z, 2015. Evaluation of the impacts of rural development policy measures on the local economy in the Czech Republic. Prague Econ Papers 24 (4): 416-433. https://doi.org/10.18267/j.pep.545

Brouwer F, Lowe P, 2000. CAP regimes and the European countryside: Prospects for integration between agricultural, regional, and environmental policies. CABI. https://doi.org/10.1079/9780851993546.0000

Cairol D, Coudel E, Knickel K, Caron P, 2008. Conclusion: Which perspectives for future research on multifunctionality of agriculture and rural areas? Int J Agr Resour Govern Ecol 7 (4/5): 429-436.

Cannata G, Fanelli RM, Di Nocera A, 2014. Le analisi quantitative per uno studio dei sistemi agroalimentari territoriali. Scritti raccolti per i 70 anni di Ennio Badolati. Dipartimento di Economia, Gestione, Società e Istituzioni, Università degli Studi del Molise, Campobasso, Libellula, ISBN 9788867352401. pp: 1-16.

Catell RB, 1966. The scree test for the number of factors. Multiv Behav Res 1: 245-276. https://doi.org/10.1207/s15327906mbr0102_10

Ciutacu C, Chivu L, Andrei JV, 2015. Similarities and dissimilarities between the EU agricultural and rural development model and Romanian agriculture. Challenges and perspectives. Land Use Policy 44: 169-176. https://doi.org/10.1016/j.landusepol.2014.08.009

D'Amico M, Coppola A, Chinnici G, Di Vita G, Pappalardo G, 2013. Agricultural systems in the European Union: An analysis of regional differences. New Medit 12 (4): 28-34.

D'Oultremont C, 2011. The CAP post-2013: more equitable, green and market-oriented? Egmont Institute.

Deller S, Tsai T, Marcouiller D, English D, 2001. The Role of amenities and quality of life in rural economic growth. Am J Agric Econ 83 (2): 352-365. https://doi.org/10.1111/0002-9092.00161

Dent JB, Edwards-Jones G, McGregor MJ, 1995. Simulation of ecological, social and economic factors in agricultural systems. Agric Syst 49 (4): 337-351. https://doi.org/10.1016/0308-521X(95)00029-5

EC, 2005. Impact Assessment Guidelines. SEC (2005) 791.

EC, 2010. The CAP towards 2020: meeting the food, natural resources and territorial challenges of the future, Bruxelles. COM (2010) 672 final.

EC, 2013. The common agricultural policy (CAP) and agriculture in Europe – Frequently asked questions, Bruxelles. MEMO/13/631.

EC, 2014. Guidance on Community-Led Local Development. Bruxelles.

EC, 2016. Farm Accountancy Data Network (FADN). EU-FADN-DG AGRI-G3. http://ec.europa.eu/agriculture/rica/

EEC, 1979. Regulation N. 79/65/EEC of the Council of 15 June 1965 setting up a network for the collection of accountancy data on the incomes and business operation of agricultural holdings in the European Economic Community

Fanelli RM, 2006. La "similarità" territoriale dei comuni molisani. Rivista Geografia, Trimestrale di Ricerca Scientifica e di Programmazione Regionale, Edigeo, Roma, pp: 13-22.

Fanelli RM, 2007. Quali funzioni per quanti e quali contesti agricoli territoriali "omogenei"? Rivista di Economia e Diritto Agro-alimentare 2: 127-167.

Fanelli RM, 2018a. The interactions between the structure of the food supply and the impact of livestock production on the environment. A multivariate analysis for understanding the differences and the analogies across European Union countries. Quality-Access to Success 19 (167): 131-139.

Fanelli RM, 2018b. Rural small and medium enterprises development in Molise (Italy). European Countryside 10 (4): 566-589. https://doi.org/10.2478/euco-2018-0032

Fanelli RM, Di Nocera A, 2018. Customer perceptions of Japanese foods in Italy. J Ethnic Foods 5: 167-176. https://doi.org/10.1016/j.jef.2018.07.001

Fjellstad WJ, Dramstad WE, Strand GH, Fry GL, 2001. Heterogeneity as a measure of spatial pattern for monitoring agricultural landscapes. Norsk Geografisk Tidsskrift 55 (2): 71-76. https://doi.org/10.1080/00291950119811

Gallopin GC, 1997. Indicators and their use: information for decision-making. In: Sustainability indicators: A report on the project on indicators of sustainable development; Billhartz SB, Matravers R (Eds.), pp: 13-27. John Wiley & Sons, Chichester.

Hair J, Anderson R, Tatham R, Black W, 1998. Multivariate data analysis, 5th ed. Prentice-Hall, Englewood Cliffs, NJ, USA.

Harris G, 2002. Integrated assessment and modeling – science for sustainability. In: Understanding and solving environmental problems in the 21st Century; Costanza R, Joergensen SE (Eds.), pp: 5-17, Elsevier.

Hay K, 2002. Rural development and rural indicators. Final report, European Union, Jan 2001-March 2002.

Hazeu G, Elbersen B, Andersen E, Baruth B, Van Diepen CA, Metzger MJ, 2009. A biophysical typology for a spatially-explicit agri-environmental modeling framework. In: Environmental and agricultural modelling: integrated approaches for policy impact assessment, Brouwer F, Van Ittersum MK (Eds.). Springer Acad Publ.

Hill B, Bradley D, 2016. Comparative analysis of the FADN Data Collection Systems in EU-28. 90th Ann Conf of the Agric Econ Soc, Univ of Warwick, England, 4-6 April. http://www.aes.ac.UnitedKingdom/upload_area/member_documents/Berkeley_Hill_Hill_Bradley_AES2016_FINAL.pdf [9.07.2016].

Hossain M, Begum E, Papadopoulou E, 2015. Factors of rural development driver in Southeastern Bangladesh. Am J Rural Dev 3 (2): 34-40.

Huylenbroeck G, Durand G, 2003. Multifunctional agriculture: A new paradigm for European agriculture and rural development. Hampshire: Ashgate.

Janssen S, Andersen E, Athanasiadis IN, Ittersum MK, 2009. A database for integrated assessment of European agricultural systems. Environ Sci Policy 12 (5): 573-587. https://doi.org/10.1016/j.envsci.2009.01.007

Johnston RJ, 1979. Multivariate statistical analysis is used to compare these regions. Longman Group, NY.

Kline P, 1994. An easy guide to factor analysis. Routledge, London.

Madu I, 2007. The underlying factors of rural development patterns in the Nsukka region of southeastern Nigeria. J Rural Commun Dev 2: 110-122. http://pdf.steerweb.org/JRCD-2006-34.pdf

Manly BF, 2004. Multivariate statistical methods. Chapman & Hall/CRC, NY. https://doi.org/10.1201/b16974

Metzger MJ, Bunce RGH, Jongman RHG, Mucher CA, Watkins JW, 2005. A climatic stratification of the environment of Europe. Global Ecol Biogeogr 14 (6): 549-563. https://doi.org/10.1111/j.1466-822X.2005.00190.x

Molden DJ, Sakthivadivel R, Perry CJ, De Fraiture C, 1998. Indicators for comparing performance of irrigated agricultural systems. IWMI Res Rep 020, Int Water Manage Inst, Colombo, Sri Lanka. http://dx.doi.org/10.3910/2009.028 IWMI

Moller F, 1995. Analisi multivariata lineare. FrancoAngeli, Milano.

Moral FJ, Rebollo FJ, Paniagua LL, García-Martín A, 2016. A GIS-based multivariate clustering for characterization and ecoregion mapping from a viticultural perspective. Span J Agric Res 14 (3): e0206. https://doi.org/10.5424/sjar/2016143-9323

Morse S, McNamara N, Acholo M, Okwoli B, 2001. Sustainability Indicators: the problem of integration. Sust Dev 9: 1-15. https://doi.org/10.1002/sd.148

Nazzaro C, Marotta G, 2016. The common agricultural policy 2014–2020: Scenarios for the European agricultural and rural systems. Agr Food Econ 4 (1): 16. https://doi.org/10.1186/s40100-016-0060-y

Parson EA, 1995. Integrated assessment and environmental policy making. In pursuit of usefulness. Energ Policy 23: 463-475. https://doi.org/10.1016/0301-4215(95)90170-C

Peterson C, 2013. Fundamental principles of managing multi-stakeholder engagement. Int Food Agribus Manage Rev 16 (Spec Issue A): 11-22.

Pierangeli F, Henke R, Coronas MG, 2008. Multifunctional agriculture: an analysis of country specialisation and regional differentiation. 12th Congr Eur Assoc of Agr Econ, Ghent.

Potter C, 2004. Multifunctionality as an agricultural and rural policy concept. In: Sustaining agriculture and rural environment: Governance, policy and multifunctionality; Brouwer F (Ed.). Edward Elgar Publ, Cheltenham.

Qiu HJ, Zhu WB, Wang HB, Cheng X, 2007. Analysis and design of agricultural sustainability indicators system. Agr Sci in China 6 (4): 475-486. https://doi.org/10.1016/S1671-2927(07)60072-8

Rao CR, 1964. The use and interpretation of principal component analysis in applied research. Sankhya Ser A 26: 329 -358.

Rigby D, Woodhouse P, Young T, Burton M, 2001. Constructing a farm level indicator of sustainable agricultural practice. Ecol Econ 39 (3): 463-478. https://doi.org/10.1016/S0921-8009(01)00245-2

Rodríguez-Moreno F, Llera-Cid F, 2011. Evaluating spectral vegetation indices for a practical estimation of nitrogen concentration in dual-purpose (forage and grain) triticale. Span J Agric Res 9 (3): 681-686. https://doi.org/10.5424/sjar/20110903-265-10

Rossing WAH, Zander P, Josien E, Groot JCJ, Meyer BC, Knierim A. 2007. Integrative modeling approaches for analysis of impact of multifunctional agriculture: A review for France, Germany and the Netherlands. Agr Ecosyst Environ 120: 41-57. https://doi.org/10.1016/j.agee.2006.05.031

Scott A, Storper M, 2003. Regions, globalization, development. Reg Stud 37: 579-593. https://doi.org/10.1080/0034340032000108697a

Serrao A, 2003. A comparison of agricultural productivity among European Countries. New Medit 1: 14-20.

Soukiazis E, Proença S, 2008. Tourism as an alternative source of regional growth in Portugal: A panel data analysis at NUTS II and III levels. Portug Econ J 7: 43-61. https://doi.org/10.1007/s10258-007-0022-0

Swinnen JFM, 2009. On the future of direct payments. BEPA Workshop on "Reflections on the Common Agricultural Policy from a Long-run Perspective", Feb 26, Brussels.

Tabachnick B, Fidell L, 2005. Using multivariate statistics. Pearson /Allyn & Bacon, Boston.

Van Ittersum MK, Ewert F, Heckelei T, Wery J, Olsson JA, Andersen E, Olsson L, 2008. Integrated assessment of agricultural systems–A component-based framework for the European Union (SEAMLESS). Agr Syst 96 (1): 150-165. https://doi.org/10.1016/j.agsy.2007.07.009

Verburg PH, van Berkel DB, van Doorn AM, van Eupen M, van den Heiligenberg HARM, 2010. Trajectories of land use change in Europe: A model-based exploration of rural futures. Landscape Ecol 25 (2): 217-232. https://doi.org/10.1007/s10980-009-9347-7

Ward Jr, JH, 1963. Hierarchical grouping to optimize an objective function. J Am Stat Assoc 58 (301): 236-244. https://doi.org/10.1080/01621459.1963.10500845

Published
2019-04-15
How to Cite
Fanelli, R. M. (2019). A new classification of European Union regions: A decision support tool for policymakers. Spanish Journal of Agricultural Research, 17(1), e0102. https://doi.org/10.5424/sjar/2019171-13481
Section
Agricultural economics