Pobreza multidimensional y energética, seguridad y robustez de la red eléctrica colombiana
Un análisis de su correlación
DOI:
https://doi.org/10.21830/19006586.1371Palabras clave:
análisis de redes, electricidad, pobreza energética, pobreza multidimensional, seguridadResumen
Este artículo analiza la relación existente entre medidas de pobreza y la robustez de la red eléctrica colombiana, en el contexto de la seguridad. Para hacerlo, se construyó un tablero de indicadores que permitió triangular la metodología de los índices multidimensionales de pobreza con los modelos de redes. Como conclusión, se encontró una gran fragilidad de la red eléctrica, representada por el bajo número de nodos asociados a los departamentos de Colombia. La robustez de la red nacional es de 0,0816, un valor bajo comparado con los valores típicos de redes no optimizadas. Se encontró también una relación inversa entre la tasa de homicidios y las medidas de pobreza, incluida la pobreza energética. Asimismo, se halló una correlación alta (0,94) entre la pobreza multidimensional y la pobreza energética en Colombia.
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Referencias bibliográficas
Ackerman, G., Abhayaratne, P., Bale, J., Bhattacharjee, A., Blair, C., Hansell, L., Jayne, A., Kosal, M., Lucas, S., Moran, K., Seroki, L., & Vadlamudi, S. (2007). Assessing terrorist motivations for attacking critical infrastructure (Technical Report UCRL-TR-227068). Lawrence Livermore National Laboratory.
Amin, M. (2008). Challenges in reliability, security, efficiency, and resilience of energy infrastructure: toward smart self-healing electric power grid. 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century. https://doi.org/10.1109/PES.2008.4596791
Alkire, S., & Foster, J. (2011). Counting and multidimensional poverty measurement. Journal of Public Economics, 95, 476-487. https://doi.org/10.1016/j.jpubeco.2010.11.006
Arvate, P., Ortiz, F., Garcia, F., & Portela, A. (2017). Lightning and homicides: evaluating the effect of an electrification policy in rural Brazil on non-violent crime reduction. Journal of Quantitative Criminology, 34, 1047-1078. https://doi.org/10.1007/s10940-017-9365-6
Banco Mundial. (2024a, junio). Global Economic Prospects, June 2024. https://hdl.handle.net/10986/41536
Banco Mundial. (2024b). World Development Indicators [con corte a 28 de junio de 2024]. https://tinyurl.com/yxm6tybw
Barabási, A. L., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286, 509-512.
Bartiaux, F., Van der Linde, M., Debast, N., & Baudaux, A. (2015). La pauvreté énergétique. En I. Pannecoucke, W. Lahaye, J. Vranken, & R. Van Rossem (Eds.), Pauvreté en Belgique – Annuaire 2015 (pp. 153-172). POS; CeRIS; Gent; Mons.
Becker, G. (1968). Crime and punishment: An economic approach. Journal of Political Economy, 76, 169-217. https://www.jstor.org/stable/1830482
Campbell, R. (1993). Fuel poverty and government response. Social Policy and Administration, 27, 58-70. https://doi.org/10.1111/j.1467-9515.1993.tb00391.x
Centro Nacional de Memoria Histórica. (2024). Bases de datos ¡Basta Ya! https://tinyurl.com/2d4pgc4a
Chester, L., & Morris, A. (2016). A new form of energy poverty is the hallmark of liberalised electricity sectors. Australian Journal of Social Issues, 46, 435-459. https://doi.org/10.1002/j.1839-4655.2011.tb00228.x
Clancy, J., Ummar, F., Shakya, I., & Kelkar, G. (2007). Appropriate gender-analysis tools for unpacking the gender-energy-poverty nexus. Gender & Development, 15, 241-257. https://doi.org/10.1080/13552070701391102
Corporación Excelencia en la Justicia. (2024). Homicidios en Colombia por 100.000 habitantes. https://tinyurl.com/27ns3r5n
Culver, L. (2017). Energy poverty: What you measure matters. (pre-symposium white paper for: Reducing Energy Poverty with Natural Gas: Changing Political, Business, and Technology Paradigms). Stanford University. https://tinyurl.com/4c38vd9x
Departamento Administrativo Nacional de Estadística (DANE). (2014). Metodología Índice de Pobreza Multidimensional IPM. https://www.dane.gov.co/files/operaciones/PM/met-IPM.pdf
Departamento Administrativo Nacional de Estadística (DANE). (2019). Censo Nacional de Población y Vivienda 2018. https://tinyurl.com/wratcsc
Departamento Administrativo Nacional de Estadística (DANE). (2024a). Encuesta Nacional de Calidad de Vida. Microdatos. https://tinyurl.com/26x69yq4
Departamento Administrativo Nacional de Estadística (DANE). (2024b). Incidencia de la Pobreza Multidimensional Departamentos 2018-2023. https://tinyurl.com/e5jw4kpf
ESRI. (2010). Centrales generadoras y líneas de transmisión eléctrica [mapa interactivo]. https://tinyurl.com/2bvxudvw
Franco-Correa, A. (2016). On the measurement of multidimensional poverty as a policy tool. Empirical applications to Chile, Colombia, Ecuador and Peru [tesis doctoral, Maastricht University, Países Bajos]. Datawyse. https://tinyurl.com/2b8lvjga
Fruchterman, T. M., & Reingold, E. M. (1991). Graph drawing by force-directed placement. Software: Practice and Experience, 21, 1129-1164.
Giroux, J., Burgherr, P., & Melkunaite, L. (2013). Research note on the energy infrastructure attack database (EIAD). Perspectives on Terrorism, 7, 113-125. https://www.jstor.org/stable/26297069
Guzowski, C., Ibañez-Martin, M. M., & Zabaloy, M. (2021). Pobreza energética: Conceptualización y su vínculo con la exclusión. Breve revisión para América Latina. Revista Ambiente y Sociedad, 24. https://doi.org/10.1590/1809-4422asoc20200027r2vu2021L2DE
Hagberg, A., & Conway, D. (2020). Networkx: Network analysis with python. https://networkx.github.io
Harrison, C., & Popke, J. (2011). Because you got to have heat: the networked assemblage of energy poverty in Eastern North Carolina. En The new geographies of energy. Routledge.
Healy, J., & Clinch, J. (2004). Quantifying the severity of fuel poverty, its relationship with poor housing and reasons for non-investment in energy-saving measures in Ireland. Energy Policy, 32, 207-220. https://doi.org/10.1016/S0301-4215(02)00265-3
Inskeep, N., & Goff, C. (1974). A preliminary evaluation of the Portland lightning project. Oregon Law Enforcement Council. https://tinyurl.com/28w8bqcj
Katsoulakos, N. (2011). Combating energy poverty in mountainous areas through energy-saving interventions. Mountain Research and Development, 31, 284-292. https://doi.org/10.1659/MRD-JOURNAL-D-11-00049.1
Kitchen, T., & O’Reilly, P. (2016). Energy poverty amidst abundance in Malaysia: placing energy in multidimensional poverty. Development in Practice, 26, 202-213. https://doi.org/10.1080/09614524.2016.1133562
Lasso de la Vega, M. (2010). Counting poverty orderings deprivation curves. En J. Bishop (Ed.), Research on Economic Inequality (pp. 153-172). Emerald Group Publishing.
Lawlor, D. (2001). The health consequences of fuel poverty: what should the role of primary care be? British Journal of General Practice, 435-436. https://tinyurl.com/y3w3n5yx
Liddell, C. (2009). The health impacts of fuel poverty on children. Ulster University. https://tinyurl.com/268c4amm
Lordan-Perret, R., Wright, A., Burgherr, P., Spada, M., & Rosner, R. (2019). Attacks on energy infrastructure targeting democratic institutions. Energy Policy, 132, 915-927. https://doi.org/10.1016/j.enpol.2019.06.025
Louzada, V. H. P., Daolio, F., Herrmann, H. J., & Tomassini, M. (2015). Generating robust and efficient networks under targeted attacks. En D. Król, D. Fay, & B. Gabryś (Eds.), Propagation phenomena in real world networks. Intelligent systems reference library (vol. 85, pp. 153-172). Springer. https://doi.org/10.1007/978-3-319-15916-4_9
Ministerio de Defensa Nacional (MinDefensa). (2024). Seguimiento a indicadores de seguridad y resultados operacionales. Mayo 2024.
Ministerio de Minas y Energía (MinMinas). (2009). Plan de expansión de referencia: generación-transmisión, 2009-2023. Subdirección de Planeación Energética. https://repositoriobi.minenergia.gov.co/handle/123456789/1851
Mirza, B., & Szirmai, A. (2010). Towards a new measurement of energy poverty: A cross-community analysis of rural Pakistán (Working Paper Series, 24). United Nations University; Maastricht Economic and Social Research and Training Centre on Innovation and Technology. https://tinyurl.com/4zfc39vf
Nussbaumer, P., Bazilian, M., & Modi, V. (2012). Measuring energy poverty: focusing on what matters. Renewable and Sustainable Energy Reviews, 15, 231-243. https://doi.org/10.1016/j.rser.2011.07.150
Pachauri, S., & Spreng, D. (2004). Energy use and energy access in relation to poverty. Economic and Political Weekly, 39, 271-278. https://www.jstor.org/stable/4414526
Pérez, J. (2019). Pobreza energética en Colombia: evidencia empírica de 2011 a 2016 [tesis de maestría, Facultad de Ciencias Económicas y Administrativas, Pontificia Universidad Javeriana, Bogotá]. https://tinyurl.com/25w4wcbk
Petrova, S., Gentile, M., Mäniken, I. H., & Bouzarovski, S. (2013). Perceptions of thermal comfort and housing quality: exploring the microgeographies of energy poverty in Stakhanov, Ukraine. Environment and Planning A: Economy and Space, 45, 1240-1257. https://doi.org/10.1068/a45132
Programa de las Naciones Unidas para el Desarrollo [PNUD]. (2015). Objetivo 7. Energía asequible y no contaminante. https://tinyurl.com/282yk7b3
Ravallion, M. (2010). Mashup indices of development (Policy Research Working Paper, 5432). BAnco Mundial. https://tinyurl.com/bdbjrs7x
Ravallion, M. (2011). On multidimensional indices of poverty. Journal of Economic Inequality, 9, 235-248. https://doi.org/10.1007/s10888-011-9173-4
Romanello, M., McGushin, A., Di Napoli, C., Drummond, P., Hughes, N., Jamart, L., Kennard, H., Lampard, P., Solano Rodriguez, B., Arnell, N., Ayeb-Karlsson, S., Belesova, K., Cai, W., Campbell-Lendrum, D., Capstick, S., Chambers, J., Chu, L., Ciampi, L., Dalin, C., … Hamilton, I. (2021). The 2021 report of the Lancet countdown on health and climate change: code red for a healthy future. The Lancet, 398, 1619-1662. https://doi.org/10.1016/S0140-6736(21)01787-6
Sagar, A. (2005). Alleviating energy poverty for the world’s poor. Energy Policy, 33, 1367-1372. https://doi.org/10.1016/j.enpol.2004.01.001
Sayama, H. (2015). Introduction to the modeling and analysis of complex systems. Open SUNY Textbooks.
Schneider, C. M., Moreira, A. A., Andrade, J. S., Havlin, S., & Herrmann, H. J. (2011). Mitigation of malicious attacks on networks. PNAS, 108, 3838-3842. https://doi.org/10.1073/pnas.1009440108
Schneider, C. M., Araújo, N. A. M., & Herrmann, H. J. (2013). Algorithm to determine the percolation largest component in interconnected networks. Physical Review E, 87, 043302. https://doi.org/10.1103/PhysRevE.87.043302
Sen, A. (1988). The concept of development. En H. Chenery, & T. Srinivasan (Eds.), Handbook of Development Economics (vol. I, pp. 9-26). Elsevier Science Publishing Company. https://doi.org/10.1016/S1573-4471(88)01004-6
Sen, A. (1999). Development as freedom. Oxford University Press.
Tealde, E. (2022). The unequal impact of natural light on crime. Journal of Population Economics, 35, 893-934. https://doi.org/10.1007/s00148-021-00831-8
Walker, G. (2008). Decentralised systems and fuel poverty: are there any links or risks? Energy Policy, 36, 4514-4517. https://doi.org/10.1016/j.enpol.2008.09.020
Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ‘small-world’ networks. Nature, 393, 440-442.
Yalonetzky, G. (2014). Conditions for the most robust multidimensional poverty comparisons using counting measures and ordinal variables. Social Choice Welfare, 43, 773-807. https://doi.org/10.1007/s00355-014-0810-2
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