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Strategic planning of rural areas: Integrating participatory backcasting and multiple criteria decision analysis tools

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  • Sisto, Roberta
  • Fernández-Portillo, Luis A.
  • Yazdani, Morteza
  • Estepa-Mohedano, Lorenzo
  • Torkayesh, Ali Ebadi

Abstract

In rural areas, the fostering of new development paths requires a strategic planning process characterised by several kinds of uncertainties. The existence of multiple decision makers increases the complexity of the analysis, and it is difficult to identify a solution that is acceptable to the different stakeholders. This condition requires identifying appropriate methods to involve stakeholders and to reflect their different priorities. The objective of this paper is to test the suitability of an innovative methodological framework that integrates backcasting and multiple criteria decision-making tools. Backcasting would enable planners to acquire relevant knowledge of local stakeholders, while multiple criteria decision analysis (MCDA) methods would allow prioritising the alternatives. The results of the experiment offer technical advice to outline the development strategy of a Georgian Local Action Group. After a strategic analysis of the area, the Best Worst Method and the Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) were used to prioritise the desired futures for the development of the territory and to rank the main obstacles and opportunities, while strategic actions were identified through a backcasting approach. The resulting strategy seems to reflect the vision of most of the participants and is proven to be an effective and approachable method for rural strategic planning. Nevertheless, the main strength of the approach lies in its transversality and in its applicability to face complex issues whenever different actors with different interests come into play.

Suggested Citation

  • Sisto, Roberta & Fernández-Portillo, Luis A. & Yazdani, Morteza & Estepa-Mohedano, Lorenzo & Torkayesh, Ali Ebadi, 2022. "Strategic planning of rural areas: Integrating participatory backcasting and multiple criteria decision analysis tools," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
  • Handle: RePEc:eee:soceps:v:82:y:2022:i:pa:s003801212200026x
    DOI: 10.1016/j.seps.2022.101248
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    as
    1. Robinson, John Bridger, 1982. "Energy backcasting A proposed method of policy analysis," Energy Policy, Elsevier, vol. 10(4), pages 337-344, December.
    2. Luis Ayala & Antonio Jurado & Jesús Pérez-Mayo, 2021. "Multidimensional deprivation in heterogeneous rural areas: Spain after the economic crisis," Regional Studies, Taylor & Francis Journals, vol. 55(5), pages 883-893, May.
    3. Gupta, Himanshu & Barua, Mukesh Kumar, 2016. "Identifying enablers of technological innovation for Indian MSMEs using best–worst multi criteria decision making method," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 69-79.
    4. Lopolito, Antonio & Nardone, Gianluca & Prosperi, Maurizio & Sisto, Roberta & Stasi, Antonio, 2011. "Modeling the bio-refinery industry in rural areas: A participatory approach for policy options comparison," Ecological Economics, Elsevier, vol. 72(C), pages 18-27.
    5. Liang, Fuqi & Brunelli, Matteo & Rezaei, Jafar, 2020. "Consistency issues in the best worst method: Measurements and thresholds," Omega, Elsevier, vol. 96(C).
    6. Torkayesh, Ali Ebadi & Pamucar, Dragan & Ecer, Fatih & Chatterjee, Prasenjit, 2021. "An integrated BWM-LBWA-CoCoSo framework for evaluation of healthcare sectors in Eastern Europe," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    7. Omrani, Hashem & Alizadeh, Arash & Amini, Mohaddeseh, 2020. "A new approach based on BWM and MULTIMOORA methods for calculating semi-human development index: An application for provinces of Iran," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    8. Walter Musakwa, 2018. "Identifying land suitable for agricultural land reform using GIS-MCDA in South Africa," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(5), pages 2281-2299, October.
    9. Nyimbili, Penjani Hopkins & Erden, Turan, 2020. "GIS-based fuzzy multi-criteria approach for optimal site selection of fire stations in Istanbul, Turkey," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    10. Jafar Rezaei, 2020. "A Concentration Ratio for Nonlinear Best Worst Method," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 891-907, May.
    11. Sisto, Roberta & Lopolito, Antonio & van Vliet, Mathijs, 2018. "Stakeholder participation in planning rural development strategies: Using backcasting to support Local Action Groups in complying with CLLD requirements," Land Use Policy, Elsevier, vol. 70(C), pages 442-450.
    12. van de Kaa, Geerten & Janssen, Marijn & Rezaei, Jafar, 2018. "Standards battles for business-to-government data exchange: Identifying success factors for standard dominance using the Best Worst Method," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 182-189.
    13. Cuoghi, Kaio Guilherme & Leoneti, Alexandre Bevilacqua, 2019. "A group MCDA method for aiding decision-making of complex problems in public sector: The case of Belo Monte Dam," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    14. Oedl-Wieser, Theresia & Dax, Thomas & Fischer, Michael, 2017. "A new approach for participative rural development in Georgia – reflecting transfer of knowledge and enhancing innovation in a non-European Union context," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 119(1), April.
    15. Maurizio Prosperi & Roberta Sisto & Antonio Lopolito & Valentina C. Materia, 2020. "Local Entrepreneurs’ Involvement in Strategy Building to Facilitate Agro-Food Waste Valorisation within an Agro-Food Technological District: A SWOT-SOR Approach," Sustainability, MDPI, vol. 12(11), pages 1-15, June.
    16. Maurizio Prosperi & Roberta Sisto & Mariarosaria Lombardi & Xueqin Zhu, 2018. "Production of bioplastics for agricultural purposes: A supply chain study," RIVISTA DI STUDI SULLA SOSTENIBILITA', FrancoAngeli Editore, vol. 2018(1), pages 119-136.
    17. Ehsan Khanmohammadi & Mostafa Zandieh & Talieh Tayebi, 2019. "Drawing a Strategy Canvas Using the Fuzzy Best–Worst Method," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(1), pages 57-75, March.
    18. Baffoe, Gideon, 2019. "Exploring the utility of Analytic Hierarchy Process (AHP) in ranking livelihood activities for effective and sustainable rural development interventions in developing countries," Evaluation and Program Planning, Elsevier, vol. 72(C), pages 197-204.
    19. C Ram & G Montibeller & A Morton, 2011. "Extending the use of scenario planning and MCDA for the evaluation of strategic options," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(5), pages 817-829, May.
    20. Soria-Lara, Julio A. & Banister, David, 2018. "Evaluating the impacts of transport backcasting scenarios with multi-criteria analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 26-37.
    21. Shmelev, S.E. & Powell, J.R., 2006. "Ecological-economic modelling for strategic regional waste management systems," Ecological Economics, Elsevier, vol. 59(1), pages 115-130, August.
    22. Rezaei, Jafar, 2016. "Best-worst multi-criteria decision-making method: Some properties and a linear model," Omega, Elsevier, vol. 64(C), pages 126-130.
    23. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    24. Mathijs Vliet & Kasper Kok, 2015. "Combining backcasting and exploratory scenarios to develop robust water strategies in face of uncertain futures," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(1), pages 43-74, January.
    25. Maria Rosaria Guarini & Fabrizio Battisti & Anthea Chiovitti, 2018. "A Methodology for the Selection of Multi-Criteria Decision Analysis Methods in Real Estate and Land Management Processes," Sustainability, MDPI, vol. 10(2), pages 1-28, February.
    26. Fernandez Portillo, Luis A. & Nekhay, Olexandr & Estepa Mohedano, Lorenzo, 2019. "Use of the ANP methodology to prioritize rural development strategies under the LEADER approach in protected areas. The case of Lagodekhi, Georgia," Land Use Policy, Elsevier, vol. 88(C).
    27. Vera Ferreira & André Samora-Arvela & Thomas Panagopoulos, 2016. "Soil erosion vulnerability under scenarios of climate land-use changes after the development of a large reservoir in a semi-arid area," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 59(7), pages 1238-1256, July.
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