Nieto-Alemán, PA.; Roig Tierno, H.; Mas Verdú, F.; García Alvarez-Coque, JM. (2018). Multidimensional paths to regional poverty: a Fuzzy-set qualitative comparative analysis of Colombian departments. Journal of Human Development and Capabilities. 19(4):499-520. https://doi.org/10.1080/19452829.2018.1504760
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/120654
[EN] This paper provides a simple, systemic, holistic assessment of regional conditions that lead to capability deprivation. Capability deprivation is measured at the regional level using the indicators of monetary poverty ...[+]
[EN] This paper provides a simple, systemic, holistic assessment of regional conditions that lead to capability deprivation. Capability deprivation is measured at the regional level using the indicators of monetary poverty and life expectancy in Colombia. Fuzzy-set qualitative comparative analysis (fsQCA) is used to identify necessary or sufficient conditions for high and low deprivation in Colombian departments (regions). The multidimensional paths consist of combinations of economic conditions (GDP per capita and trade openness), social conditions (education) and institutional conditions (transparency and internal displacement). The observed interactions between conditions indicate that no single condition leads to regional poverty. Peace and transparent institutions are important conditions in most of the paths that lead to high or low capability or functioning indicators.[-]
info:eu-repo/grantAgreement/MINECO//AGL2015-65897-C3-3-R/ES/SERVICIOS INTENSIVOS EN CONOCIMIENTO Y SISTEMAS AGROALIMENTARIOS. REDES DE INNOVACION Y TRANSFERENCIA/
Descripción:
This is an Author's Accepted Manuscript of an article published in Nieto-Alemán, Paula Andrea, Roig Tierno, Honorat, Mas Verdú, Francisco, García Alvarez-Coque, José María. (2018). Multidimensional paths to regional poverty: a Fuzzy-set qualitative comparative analysis of Colombian departments.Journal of Human Development and Capabilities, 19, 4, 499-520. DOI: 10.1080/19452829.2018.1504760, available online at: http://doi.org/ 10.1080/19452829.2018.1504760
Agradecimientos:
This work was supported by the Ministerio de Economia y Competitividad [AGL2015-65897-C3-3-R].