SciELO - Scientific Electronic Library Online

 
vol.33 issue57Learning in the Regional Innovation Systems: An Agent Based ModelService quality and users’ satisfaction assessment in the health context in Mexico author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Cuadernos de Administración (Universidad del Valle)

Print version ISSN 0120-4645

Abstract

BETANCOURT GUERRERO, Benjamín  and  SCARPETTA CALERO, Gildardo. Future scenarios for the fruit and vegetable production and supply chain in the department of Valle del Cauca, 2019 horizon. cuad.adm. [online]. 2017, vol.33, n.57, pp.21-35. ISSN 0120-4645.  https://doi.org/10.25100/cdea.v33i57.4512.

This article presents the methodology, discussion, and results of the research project entitled “Analysis and Development of Future Scenarios for the Valle del Cauca Fruit and Vegetable Growing Chain for the 2019 Horizon”. The purpose is manifold: 1. Identifying the probable and possible future scenarios for the Valle del Cauca fruit and vegetable growing chain, applying for its analysis prospective methodologies recognized by the academic community and by the fruit and vegetable growers interested in the topic; 2. From the identified scenarios: trendential, optimistic and pessimistic, the Betting Scenario to which the sector’s actions of improvement must be oriented is defined; 3. To accomplish this, strategic guidelines are included in the betting scenario. Experts suggest that fruit and vegetable growers will define their projects and the strategies that would enable Valle del Cauca to improve its competitiveness in the sector, creating a positive impact on the region as well as increasing its exports; 4. The aforementioned is being supported by Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA, for its name in Portuguese) that uses technological prospective and involves other connected fields of knowledge. Its focus is to discover the technical and social issues affecting an agricultural productive chain using technology as a tool that provides solutions to the community or social groups that are part of the productive chain; 5. This analysis was done in two phases: diagnostic and prospective. In the diagnostic phase, the documental analysis and the consultation with growers, producers, and experts were carried out. In the prospective phase, consultation with experts and tools such as brain storming, the Regnier Abacus, and multi-criteria analysis were applied. For the scenarios design, the morphological analysis was applied.

Keywords : Prospective; Prospective methods; Future scenarios; Agricultural production chain; Sector analysis; Competitiveness.

        · abstract in Spanish | French     · text in English     · English ( pdf )