Hostname: page-component-78c5997874-v9fdk Total loading time: 0 Render date: 2024-11-14T09:29:28.842Z Has data issue: false hasContentIssue false
  • English
  • Français

A multi-criteria assessment of the production and marketing systems of local mountain food

Published online by Cambridge University Press:  24 June 2013

Jernej Prišenk ,
Črtomir Rozman ,
Karmen Pažek ,
Jernej Turk ,
Zarja Bohak  and
Andreja Borec
Jernej Prišenk*
Affiliation:
Faculty of Agriculture and Life Sciences, University of Maribor, Pivola 10, 2311 Hoče, Slovenia.
Črtomir Rozman
Affiliation:
Faculty of Agriculture and Life Sciences, University of Maribor, Pivola 10, 2311 Hoče, Slovenia.
Karmen Pažek
Affiliation:
Faculty of Agriculture and Life Sciences, University of Maribor, Pivola 10, 2311 Hoče, Slovenia.
Jernej Turk
Affiliation:
Faculty of Agriculture and Life Sciences, University of Maribor, Pivola 10, 2311 Hoče, Slovenia.
Zarja Bohak
Affiliation:
Faculty of Agriculture and Life Sciences, University of Maribor, Pivola 10, 2311 Hoče, Slovenia.
Andreja Borec
Affiliation:
Faculty of Agriculture and Life Sciences, University of Maribor, Pivola 10, 2311 Hoče, Slovenia.
*
* Corresponding author: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

A multi-criteria model for a qualitative assessment of the production and marketing of local food products (LFP) from mountain areas has been developed by applying the DEX method. The development of the model was carried out and finally applied to ten local food products. The results were given in the form of a qualitative final assessment of both the production and marketing phases. By applying a plus–minus-1 analysis, the influence of various attributes on the final assessment of the LFP was examined. The main bottlenecks in the production and marketing processes were found. A sensitivity test was used to explain the influence of production and marketing on the final assessment. The results give clear directions as to which of the main attributes must be changed/improved or further developed to enable the successful promotion of local food products, which would give rise to an improved economy in mountain areas.

Keywords

food productsmountain areasmulti-criteria decision modelDEX
Type
Research Papers
Information
Renewable Agriculture and Food Systems , Volume 29 , Issue 4 , December 2014 , pp. 345 - 354
Copyright
Copyright © Cambridge University Press 2013 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1 Pacciani, A., Belletti, G., Marescotti, A., and Scaramuzzi, S. 2001. The role of typical products in fostering rural development and the effects of regulation (EEC) 2081/92. In 73rd Seminar of the European Association of Agricultural Economists. Ancona, Italy.Google Scholar
2 Hingley, M., Boone, J., and Haley, S. 2010. Local food marketing as a development opportunity for small UK agri-food business. International Journal of Food System Dynamics 3:194–203.Google Scholar
3 Vecchio, R. 2010. Local food at Italian farmers' Markets: Three case studies. International Journal of Sociology of Agriculture and Food 17(2):122–139.Google Scholar
4 Tregear, A., Arfini, F., Belletti, G., and Marescotti, A. 2007. Regional foods and rural development: The role of product qualification. Journal of Rural Studies 23(1):12–22.CrossRefGoogle Scholar
5 Bessiere, J. 1998. Local development and heritage: Traditional food and cuisine as tourist attractions in rural areas. Sociologia Ruralis 38(1):212–34.CrossRefGoogle Scholar
6 Weatherell, C., Tregear, A., and Allinson, J. 2003. In search of the concerned consumers: UK public perceptions of food, farming and buying local. Journal of Rural Studies 19:233–244.CrossRefGoogle Scholar
7 EuroMARC, 2010. Smernice za razvoj, promocijo in komuniciranje o gorsko-hribovskih prehranskih izdelkih: Guidelines for stakeholders of the mountain food supply chains and related sectors. Available at Web site http://www.euromontana.org/images/stories/projets/EuroMARC/docs_NL_et_actes/guidelines_euromarc_report_sl.pdf (verified April 5, 2011).Google Scholar
8 Barjolle, D., Paus, M., and Perret, A. 2009. Impacts of geographical indications review of methods and empirical evidences. In Paper Presented at the IAAE Conference. Beijing, China.Google Scholar
9 Marescotti, A. 2003. Typical products and rural development: Who benefits from PDO/PGI recognition? In 83rd EAAE Seminar (Food Quality products in the advent of the 21st Century: Production, Demand and Public Policy), Chania, Greece.Google Scholar
10 Ilbery, B. and Kneafsey, M. 2000. Producer constructions of quality in regional speciality food production: A case study from South West England. Journal of Rural Studies 16:217–230.CrossRefGoogle Scholar
11 Bratec, M. 2007. Slovenian gastronomy: Through issues of quality or communication, Assignment for the course of Strategic Communication, University of Southern Denmark, Odense, Denmark.Google Scholar
12 Bratec, M. 2008. Aiming towards sustainable (tourism) development: The case of the slow food movement and its impacts in Slovenia. Assignment for the Course of Sustainable Tourism Development, University of Southern Denmark, Odense, Denmark.Google Scholar
13 Majkovič, D. and Borec, A. 2010. Are consumers in Slovenia concerned about the mountain quality food? Journal for Geography 5(1):115–124.Google Scholar
14 Rozman, Č., Pažek, K., Bavec, M., Bavec, F., Turk, J., and Majkovič, D. 2006. The multi-attribute analysis of spelt food processing alternatives on small organic farms. Journal of Sustainable Agriculture 28(2):159–179.CrossRefGoogle Scholar
15 Tiwari, D.N., Loof, R., and Paudyal, G.N. 1999. Environmental-economic decision-making in lowland irrigated agriculture using multi-criteria analysis techniques. Agricultural Systems 60:99–112.CrossRefGoogle Scholar
16 Saaty, T.L. 1980. The Analytic Hierarchy Process. McGraw-Hill, New York.Google Scholar
17 Pažek, K., Rozman, Č., Bavec, F., Borec, A., and Bavec, M. 2010. A multi-criteria decision analysis framework tool for the selection of farm business models on organic mountain farms. Journal of Sustainable Agriculture 34(7):778–799.CrossRefGoogle Scholar
18 Bohanec, M. and Rajkovič, V. 1990. DEX: An Expert System Shell for Decision Support. Sistemica 1(1):145–157.Google Scholar
19 Parra-Lopez, C., Calatrava-Requena, J., and De-Haro-Gimenez, T. 2008. A systemic comparative assessment of the multifunctional performance of alternative olive systems in Spain within an AHP-extended framework. Ecological Economics 64(4):820–834.CrossRefGoogle Scholar
20 Alphonce, C.B. 1997. Application of the analytic hierarchy process in agriculture in developing countries. Agricultural Systems 53(1):97–112.CrossRefGoogle Scholar
21 Galli, F., Carbone, A., Caswell, J.A., and Sorrentino, A. 2011. A multi-criteria approach to assessing PDOs/PGIs: An Italian pilot study. International Journal of Food System Dynamics 2(3):219–236.Google Scholar
22 Tojnko, S., Rozman, Č., Unuk, T., Pažek, K. and Pamič, S. 2011. A qualitative multi-attribute model for the multifunctional assessment of ‘Streuobst Stands’ in NE Slovenia. Erwerbs-Obstbau 53(4):157–166.CrossRefGoogle Scholar
23 Bohanec, M. 2008. DEXi: Program for Multi-attribute Decision Making. User's Manual, Version 3.00. IJS Report DP-9989. Jozef Stefan Institute, Ljubljana. Available at Web site http://kt.ijs.si/MarkoBohanec/pub/DEXiManual30r.pdf (verified March 15, 2011).Google Scholar
24 Pelzer, E., Fortino, G., Bockstaller, C., Angevin, F., Lamine, C., Moonen, C., Vasileiadis, V., Guérin, D., Guichard, L., Reau, R., and Messéan, A. 2012. Assessing innovative cropping systems with DEXiPM, a qualitative multi-criteria assessment tool derived from DEXi. Available at Web site http://www.oecd.org/std/clits/42495745.pdf (accessed September 30, 2012).CrossRefGoogle Scholar
25 OECD, European Commission, Joint Research Centre. 2008. In Nardo, M. Saisana, M., Saltelli, A., Tarantola, S. (EC/JRC), Hoffman, A., and Giovannini, E. (OECD) (eds). Handbook on Constructing Composite Indicators: Methodology and User Guide. OECD Publication Code: 3020008251E1. p. 1–160.Google Scholar
26 Rozman, Č., Potočnik, M., Pažek, K., Borec, A., Majkovič, D., and Bohanec, M. 2009. A multi-criteria assessment of tourist farm service quality. Tourism Management 30:629–637.CrossRefGoogle Scholar
27 Hyde, K.M. and Maier, H.R. 2006. Distance-based and stochastic uncertainty analysis for multi-criteria decision analysis in Excel using Visual Basic for Applications. Environmental Modelling and Software 21:1695–1710.CrossRefGoogle Scholar
28 Rozman, Č. and Pažek, K. 2005. Application of computer supported multi-criteria decision models in agriculture. Agriculturae Conspectus Scientificus 70(4):127–134.Google Scholar
29 Pažek, K., Rozman, Č., and Borec, A. 2007. The application of simulation and multi-criteria decision models to support decision making on farms with agricultural production in less favoured areas. Faculty of Agriculture and Life Sciences, University of Maribor, Maribor, Slovenia.Google Scholar
30 Pavlovič, M., Cerenak, A., Pavlovič, V., Rozman, Č., and Bohanec, M. 2011. Development of DEX-HOP multi-attribute decision model for preliminary hop hybrids assessment. Computers and Electronics in Agriculture 75:181–189.CrossRefGoogle Scholar
31 Hermann, B.G., Kroeze, C., and Jawjit, W. 2007. Assessing environmental performance by combining life cycle assessment, multi-criteria analysis and environmental performance indicators. Journal of Clenear Production 15:1787–1796.CrossRefGoogle Scholar
32 Bohanec, M., Zupan, B., and Rajkovič, V. 2000. Applications of qualitative multi-attribute decision models in health care. International Journal of Medical Informatics 58–59:191–205.CrossRefGoogle ScholarPubMed
33 Prišenk, J. 2012. Development of multi-criteria model for assessment of food products from mountain areas. Masters thesis, University of Maribor, Faculty of Agriculture and Life Sciences.Google Scholar
34 Belton, V. and Stewart, J.T. 2002. multiple criteria decision analysis. An integrated approach. Kluwer Academic Publishers, Massachusetts.CrossRefGoogle Scholar
35 Butler, J., Jia, J., and Dyer, J. 1997. Simulation techniques for the sensitivity analysis of multi-criteria decision models. European Journal of Operational Research 103:531–546.CrossRefGoogle Scholar
36 Murdoch, J., Marsden, T., and Banks, J. 2000. Quality, nature and embeddedness: Some theoretical considerations in the context of the food sector. Economic Geography 76(2):107–125.Google Scholar