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Application of structural analysis for local development in the center region of Valle del Cauca, Colombia

Author

Listed:
  • Verena González-Cabo

    (Universidad de San Buenaventura Cali)

  • Luis Fernando Cruz-Caicedo

    (Universidad de San Buenaventura Cali)

  • Magdalida Murgueitio

    (Universidad de San Buenaventura Cali)

  • Edy Lorena Burbano-Vallejo

    (Universidad de San Buenaventura Cali)

  • Eugenio Moreno

    (Universidad de San Buenaventura Cali)

Abstract

Structural analysis allows territories to review key variables in determining their current status and the path to be taken for the development of the region. Municipalities face great challenges and responsibilities with the communities they represent; actions intended to strengthen participative processes that guarantee appropriate use of both economic and human resources are required. This document examines three municipalities in the center region of Valle del Cauca department, Colombia, from the review of power variables, key variables, variables of autonomous areas and result variables. The objective is to analyze power variables, given their capacity to influence key variables of the system while having little or no dependence on other variables. The MIC MAC method was used, as well as semi-structured interviews, in order to qualify the influence/dependency matrix. The main findings show that the variables, such as public sector institutionalism, resourcing, public-private articulation and human resource are the most influential variables in the system and therefore, in the region. In regards to the other variables, it was found that some represent the objectives in public planning, and such objectives are reflected in government programs, and for this reason they have to be monitored on a permanent basis. Other variables serve the whole system and it is up to the administration to decide whether to include them or not in their development plans in order to strengthen the key variables. These variables should be considered for the success of the prospective strategic plans in public administration.

Suggested Citation

  • Verena González-Cabo & Luis Fernando Cruz-Caicedo & Magdalida Murgueitio & Edy Lorena Burbano-Vallejo & Eugenio Moreno, 2017. "Application of structural analysis for local development in the center region of Valle del Cauca, Colombia," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 14(3), pages 289-320, September.
    • Handle: RePEc:spr:irpnmk:v:14:y:2017:i:3:d:10.1007_s12208-017-0173-3
    DOI: 10.1007/s12208-017-0173-3
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    References listed on IDEAS

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    1. Mazzeo Rinaldi, Francesco, 2016. "From local development policies to strategic planning—Assessing continuity in institutional coalitions," Evaluation and Program Planning, Elsevier, vol. 56(C), pages 76-87.
    2. Oecd, 2009. "Concepts and dilemmas of State building in fragile situations: From fragility to resilience," OECD Journal on Development, OECD Publishing, vol. 9(3), pages 61-148.
    3. Boisier, Sergio, 2005. "¿Hay espacio para el desarrollo local en la globalización?," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    4. Caicedo Cuervo, Carlos Jorge, 2008. "Políticas e instituciones para el desarrollo económico territorial en América Latina y el Caribe. El caso de Colombia," Desarrollo Territorial 7250, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
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    1. Correa-García, Esteban & Vélez-Correa, Jorge & Zapata-Caldas, Emmanuel & Vélez-Torres, Irene & Figueroa-Casas, Apolinar, 2018. "Territorial transformations produced by the sugarcane agroindustry in the ethnic communities of López Adentro and El Tiple, Colombia," Land Use Policy, Elsevier, vol. 76(C), pages 847-860.
    2. Builes-Jaramillo, Alejandro & Lotero, Laura, 2020. "Closeness matters. Spatial autocorrelation and relationship between socioeconomic indices and distance to departmental Colombian capitals," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).

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