Pobreza rural e intervenciones prioritarias: una propuesta para la planificación integrada en territorios excluidos de Ecuador
Rural poverty and priority interventions: a proposal for integrated planning in excluded territories of Ecuador
Jorge Luis Lemos-Lozano; Ignacio Loor
Resumen
Palabras clave
Resumo
Abstract: Reducing rural poverty remains one of the most complex challenges in Latin America, not only due to the scale of deprivation, but also because of the lack of clear criteria to determine what should be prioritized in contexts where everything is urgent and resources are scarce. This lack of strategic orientation has led to migration from rural territories to urban centers, driven by the absence of sustainable opportunities. While the literature has documented the effects of lacking access to services such as water, electricity, or sanitation, these are often analyzed in isolation, offering few tools to determine the optimal order and combination of interventions. This study addresses that gap by analyzing the case of San José de Chamanga, a coastal parish in Ecuador marked by structural exclusion, environmental degradation, and weak institutional presence. Based on a quantitative design using surveys conducted with 282 households, ordinal regression models, network analysis, and predictive models were implemented. The findings show that poverty results from a constellation of interdependent deprivations, and that combinations of infrastructure variables offer greater explanatory power than individual ones. The study provides useful evidence to support the design of integrated and prioritized public policies based on their expected impact on rural well-being.
Palavras-chave
Referências
Alkire, S., & Foster, J. (2011). Counting and multidimensional poverty measurement.
Banco Mundial, & Canavire-Bacarreza, G. (2024).
Basu, S., Duren, W., Evans, C. R., Burant, C. F., Michailidis, G., & Karnovsky, A. (2017). Sparse network modeling and metscape-based visualization methods for the analysis of large-scale metabolomics data.
Berdegué, J. A., Bebbington, A., & Escobal, J. (2015). Conceptualizing spatial diversity in Latin American rural development: structures, institutions, and coalitions.
Berdegué, J., & Favareto, A. (2019).
Brichetti, J. P., Mastronardi, L., Rivas Amiassorho, M. E., Serebrisky, T., & Solís, B. (2021).
Cabezas, L. M. C., Izbicki, R., & Stern, R. B. (2023). Hierarchical clustering: visualization, feature importance and model selection.
Comisión Económica para América Latina y el Caribe – CEPAL. (2022).
Comisión Económica para América Latina y el Caribe – CEPAL. (2024).
Conceição, P. (2022).
De Janvry, A., & Sadoulet, E. (2000). Rural poverty in Latin America.
De Janvry, A., & Sadoulet, E. (2020). Using agriculture for development: supply- and demand-side approaches.
Díaz Baca, M. F., Moreno Lerma, L., Burkart, S., & Triana Ángel, N. (2024). Why do rural youth migrate? Evidence from Colombia and Guatemala.
van Dijk, J. (2020).
Gobierno Autónomo Descentralizado Rural San José de Chamanga. (2023).
González-Fuente, I., Salas Quintanal, H. J., & Hernández Flores, H. D. (2018). Jóvenes rurales y empleo en Tlaxcala, México: Trayectorias inciertas.
Hassan, A. A., Muse, A. H., & Chesneau, C. (2024). Machine learning study using 2020 SDHS data to determine poverty determinants in Somalia.
Havnevik, K. J., Østigård, T., Tobisson, E., & Virtanen, T. (Eds.) (2016).
Hosmer, D. W., Lemeshow, S., & Sturdivant, R. X. (2013).
Hwang, J., Park, J., & Lee, S. (2018). The impact of the comprehensive rural village development program on rural sustainability in Korea.
International Energy Agency– IEA. (2021).
Junior, V. J. W., Piras, S., Grisa, C., & Ghinoi, S. (2021). Assessing Brazilian agri-food policies: what impact on family farms? (Versión 1).
Long, H., Ma, L., Zhang, Y., & Qu, L. (2022). Multifunctional rural development in China: pattern, process and mechanism.
Martinez-Alier, J. (2002).
Menard, S. W. (2010).
Méndez-Sastoque, M. J. (2018). Vida en el campo versus vida en la ciudad: narrativas contemporáneas de resistencia campesina en la canción popular.
Mitra, S., Palmer, M., Kim, H., Mont, D., & Groce, N. (2017). Extra costs of living with a disability: a review and agenda for research.
Narayan, D. (2000).
Organisation for Economic Co-operation and Development – OECD. (2016).
Okogun, O., & Hiwatari, M. (2024). Multidimensional poverty analysis of women, children and households in Nigeria: The first order dominance approach.
Pan American Health Organization – PAHO. (2023).
Pontarollo, N., Orellana, M., & Segovia, J. (2020). The determinants of subjective well-being in a developing country: the Ecuadorian case.
Ribot, J. (2021). Cause and response: vulnerability and climate in the Anthropocene. In M. Fairbairn, J. Fox, S. R. Isakson, M. Levien, N. L. Peluso, S. Razavi, I. Scoones & K. Sivaramakrishnan (Eds.),
Scoones, I. (2015).
Sen, A. (2001).
United Nations International Children's Emergency Fund & World Health Organization. (2019).
Woolcock, M., & Narayan, D. (2000). Social capital: implications for development theory, research, and policy.
Zaiontz, C. (2023).
Zheng, X., Zhang, W., Deng, H., & Zhang, H. (2024). County-level poverty evaluation using machine learning, nighttime light, and geospatial data.
Submetido em:
26/05/2025
Aceito em:
10/12/2025
Publicado em:
17/03/2026
Facebook
LinkedIn
Mendeley
Reddit
Email