Determinantes socioeconómicos y territoriales de la elección de vivienda sostenible en Colombia
DOI:
https://doi.org/10.37230/CyTET.2026.227.17Palabras clave:
Vivienda sostenible, Modelo de elección discreta, Análisis espacial, Política pública urbanaResumen
Este estudio analiza los determinantes socioeconómicos y territoriales de la elección de vivienda sostenible en Colombia a partir de una encuesta de preferencias declaradas aplicada en cuatro ciudades y un modelo Logit Mixto con estructura de panel. Los resultados muestran que el costo total mensual es la principal barrera, mientras que los ahorros de energía y agua influyen positivamente en la probabilidad de elección de la vivienda sostenible. El análisis espacial evidencia diferencias significativas entre zonas urbanas, y la simulación de subsidios escalonados aumenta la probabilidad de adopción en hogares de menores ingresos. Estos hallazgos ofrecen insumos para diseñar políticas de vivienda sostenible con enfoque territorial y redistributivo.
Descargas
Citas
ABUBAKAR, I. R., ALOLA, A. A., BEKUN, F. V. & ONIFADE, S. T. (2024): Investigating the determinants of household energy consumption in Nigeria: Insights and implications. Energy, Sustainability and Society, 14(1), 29. https://doi.org/10.1186/s13705-024-00451-6
ADABRE, M. A. & CHAN, A. P. C. (2021): Modeling the Impact of Barriers on Sustainable Housing in Developing Countries. Journal of Urban Planning and Development, 147(1), 05020032. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000639
ADABRE, M. A., CHAN, A. P. C., EDWARDS, D. J. & MENSAH, S. (2022a): Evaluation of symmetries and asymmetries on barriers to sustainable housing in developing countries. Journal of Building Engineering, 50, 104174. https://doi.org/10.1016/j.jobe.2022.104174
ADABRE, M. A., CHAN, A. P. C., EDWARDS, D. J. & OSEI-KYEI, R. (2022b): To build or not to build, that is the uncertainty: Fuzzy synthetic evaluation of risks for sustainable housing in developing economies. Cities, 125, 103644. https://doi.org/10.1016/j.cities.2022.103644
ADETUNJI, I., PRICE, A., FLEMING, P. & KEMP, P. (2003): Sustainability and the UK construction industry—A review. Proceedings of the Institution of Civil Engineers - Engineering Sustainability, 156(4), 185-199. https://doi.org/10.1680/ensu.2003.156.4.185
AKINSHIPE, O., OLULEYE, I. B. & AIGBAVBOA, C. (2019): Adopting sustainable construction in Nigeria: Major constraints. IOP Conference Series: Materials Science and Engineering, 640(1), 012020. https://doi.org/10.1088/1757-899X/640/1/012020
ATUESTA, L. H. & PAREDES ARAYA, D. (2012): A Spatial Cost of Living Index for Colombia Using a Microeconomic Approach and Censored Data. Applied Economics Letters, 19(16-18), 1799-1805.
BANFI, S., FARSI, M., FILIPPINI, M. & JAKOB, M. (2008): Willingness to pay for energy-saving measures in residential buildings. Energy Economics, 30(2), 503-516. https://doi.org/10.1016/j.eneco.2006.06.001
BARR, S., GILG, A. W. & FORD, N. (2005): The household energy gap: Examining the divide between habitual- and purchase-related conservation behaviours. Energy Policy, 33(11), 1425-1444. https://doi.org/10.1016/j.enpol.2003.12.016
BHIKHOO, N., HASHEMI, A. & CRUICKSHANK, H. (2017): Improving Thermal Comfort of Low-Income Housing in Thailand through Passive Design Strategies. Sustainability, 9(8), 1440. https://doi.org/10.3390/su9081440
BOURBIA, S., KAZEOUI, H. & BELARBI, R. (2023): A review on recent research on bio-based building materials and their applications. Materials for Renewable and Sustainable Energy, 12(2), 117-139. https://doi.org/10.1007/s40243-023-00234-7
CANTILLO, V., ORTUZAR, J. DE D. & WILLIAMS, H. (2007): Modeling Discrete Choices in the Presence of Inertia and Serial Correlation. Transportation Science, 41, 195-205. https://doi.org/10.1287/trsc.1060.0178
CAQUIMBO-SALAZAR, S. & YUNDA, J. G. (2021): Parcelación y cultivo: prácticas cotidianas de urbanismo informal (Bogotá, Colombia). Ciudad y Territorio Estudios Territoriales, 53(210). https://doi.org/10.37230/CyTET.2021.210.8
CHAN, A. P. C., DARKO, A., OLANIPEKUN, A. O. & AMEYAW, E. E. (2018): Critical barriers to green building technologies adoption in developing countries: The case of Ghana. Journal of Cleaner Production, 172, 1067-1079. https://doi.org/10.1016/j.jclepro.2017.10.235
CHAN, R. Y. K. (2001): Determinants of Chinese consumers’ green purchase behavior. Psychology & Marketing, 18(4), 389-413.
CHEN, Y. & CHANG, C. (2012): Enhance green purchase intentions: The roles of green perceived value, green perceived risk, and green trust. Management Decision, 50(3), 502-520. https://doi.org/10.1108/00251741211216250
CHOICEMETRICS (2012): Ngene 1.1. 1 User Manual & Reference Guide.
CHUA, S. C. & OH, T. H. (2011): Green progress and prospect in Malaysia. Renewable and Sustainable Energy Reviews, 15(6), 2850-2861. https://doi.org/10.1016/j.rser.2011.03.008
CURRAN, S. R. & DE SHERBININ, A. (2004): Completing the Picture: The Challenges of Bringing “Consumption” into the Population–Environment Equation. Population and Environment, 26(2), 107-131. https://doi.org/10.1007/s11111-004-0837-x
DANE (2018): Censo Nacional de Población y Vivienda 2018. http://www.dane.gov.co
DAVIS, L. W. & GERTLER, P. J. (2015): Contribution of air conditioning adoption to future energy use under global warming. Proceedings of the National Academy of Sciences, 112(19), 5962-5967. https://doi.org/10.1073/pnas.1423558112
DUQUE, J. C., GARCIA, G. A., LOZANO‐GRACIA, N., QUIÑONES, M. & MONTOYA, K. Y. (2023): Inequality and space in a highly unequal country: What does the literature tell us in the context of Colombia? Regional Science Policy & Practice, 15(9), 2065-2087. https://doi.org/10.1111/rsp3.12681
FALCHETTA, G., CIAN, E. D., PAVANELLO, F. & WING, I. S. (2024): Inequalities in global residential cooling energy use to 2050. Nature Communications, 15(1), 7874. https://doi.org/10.1038/s41467-024-52028-8
GOLUBCHIKOV, O. & BADYINA, A. (2012): Sustainable housing for sustainable cities: A policy framework for developing countries. UN-HABITAT.
HAMID, Z. A., ZAIN, M. Z. M., HUNG, F. C., NOOR, M. S. M., ROSLAN, A. F., KILAU, N. M. & ALI, M. C. (2014): Towards a national green building rating system for Malaysia. Malaysian Construction Research Journal, 14(1), 1-16.
HE, P., ZHANG, S., WANG, L. & NING, J. (2023): Will environmental taxes help to mitigate climate change? A comparative study based on OECD countries. Economic Analysis and Policy, 78, 1440-1464. https://doi.org/10.1016/j.eap.2023.04.032
HESS, S. & PALMA, D. (2019): Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application. Journal of Choice Modelling, 32, 100170. https://doi.org/10.1016/j.jocm.2019.100170
INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE (Ipcc) (Ed.) (2023): Buildings. En Climate Change 2022—Mitigation of Climate Change (1.ª ed., pp. 953-1048). Cambridge University Press. https://doi.org/10.1017/9781009157926.011
JIANG, L. & O’NEILL, B. C. (2004): The energy transition in rural China. International Journal of Global Energy Issues, 21(1/2), 2. https://doi.org/10.1504/IJGEI.2004.004691
JUAN, Y.K., HSU, Y. H. & XIE, X. (2017): Identifying customer behavioral factors and price premiums of green building purchasing. Industrial Marketing Management, 64, 36-43. https://doi.org/10.1016/j.indmarman.2017.03.004
KAHN, M. E. & KOK, N. (2014): The capitalization of green labels in the California housing market. Regional Science and Urban Economics, 47, 25-34. https://doi.org/10.1016/j.regsciurbeco.2013.07.001
KATS, G. H. (2003): Green Building Costs and Financial Benefits. https://www.wbdg.org/files/pdfs/green_bldg_costs_kats.pdf
KHAN, R. A. J., THAHEEM, M. J. & ALI, T. H. (2020): Are Pakistani homebuyers ready to adopt sustainable housing? An insight into their willingness to pay. Energy Policy, 143, 111598. https://doi.org/10.1016/j.enpol.2020.111598
KWAK, S. Y., YOO, S. H. & KWAK, S. J. (2010): Valuing energy-saving measures in residential buildings: A choice experiment study. Energy Policy, 38(1), 673-677. https://doi.org/10.1016/j.enpol.2009.09.022
LIU, Y., HONG, Z., ZHU, J., YAN, J., QI, J. & LIU, P. (2018): Promoting green residential buildings: Residents’ environmental attitude, subjective knowledge, and social trust matter. Energy Policy, 112, 152-161. https://doi.org/10.1016/j.enpol.2017.10.020
LIU, Z., HE, S., MEN, W. & SUN, H. (2024): Impact of climate risk on financial stability: Cross-country evidence. International Review of Financial Analysis, 92, 103096. https://doi.org/10.1016/j.irfa.2024.103096
MCFADDEN, D. (2001): Economic Choices. American Economic Review, 91. https://doi.org/10.1257/aer.91.3.351
MIRANDA-PASSO, J. C. & MAESTRE-DE-LA-ESPRIELLA, L. E. (2019): El Caribe a oscuras: La crisis de Electricaribe. Dictamen Libre, 24, 183-191. https://doi.org/10.18041/2619-4244/dl.24.5472
NIEMEYER, S. (2010): Consumer voices: Adoption of residential energy-efficient practices. International Journal of Consumer Studies, 34(2), 140-145. https://doi.org/10.1111/j.1470-6431.2009.00841.x
OLANDER, F. & THØGERSEN, J. (1995): Understanding of consumer behaviour as a prerequisite for environmental protection. Journal of Consumer Policy, 18(4), 345-385. https://doi.org/10.1007/BF01024160
OLANREWAJU, A., TAN, S. Y. & ABDUL-AZIZ, A.-R. (2018): Housing providers’ insights on the benefits of sustainable affordable housing. Sustainable Development, 26(6), 847-858. https://doi.org/10.1002/sd.1854
O’NEILL, B. C. & CHEN, B. S. (2002): Demographic Determinants of Household Energy Use in the United States. Population and Development Review, 28, 53-88.
ORR, J., DREWNIOK, M. P., WALKER, I., IBELL, T., COPPING, A. & EMMITT, S. (2019): Minimising energy in construction: Practitioners’ views on material efficiency. Resources, Conservation and Recycling, 140, 125-136. https://doi.org/10.1016/j.resconrec.2018.09.015
ORTUZAR S., J. DE D. & WILLUMSEN, L. G. (2024): Modelling transport (Fifth edition.). John Wiley & Sons.
OTT, W., BAUR, M. & JAKOB, M. (2006): Direct and indirect co-benefits from energy-efficient residential buildings—Appendix. https://www.osti.gov/etdeweb/biblio/20941181
OYETUNJI, A. K., OLULEYE, B. I., OLUKOLAJO, M. A. & CHAN, D. W. M. (2022): Is green good: Unveiling the latent benefits of sustainable housing delivery. Cities, 129, 103809. https://doi.org/10.1016/j.cities.2022.103809
PACHAURI, S. & JIANG, L. (2008). The household energy transition in India and China. Energy Policy, 36(11), 4022-4035. https://doi.org/10.1016/j.enpol.2008.06.016
PEBLEY, A. R. (1998): Demography and the Environment. Demography, 35(4), 377-389. https://doi.org/10.2307/3004008
PINZON-BOTERO, M. V. & VILLOTA-ORTIZ, S. B. (2019): The potential market for sustainable housing under the contingent valuation method. City of Palmira. Cuadernos de Administración, 35(65), 45-59. https://doi.org/10.25100/cdea.v35i65.7247
PRAJONGSAN, P. & SHARPLES, S. (2012): Enhancing natural ventilation, thermal comfort and energy savings in high-rise residential buildings in Bangkok through the use of ventilation shafts. Building and Environment, 50, 104-113. https://doi.org/10.1016/j.buildenv.2011.10.020
PRETE, M. I., PIPER, L., RIZZO, C., PINO, G., CAPESTRO, M., MILETI, A., PICHIERRI, M., AMATULLI, C., PELUSO, A. M. & GUIDO, G. (2017): Determinants of Southern Italian households’ intention to adopt energy efficiency measures in residential buildings. Journal of Cleaner Production, 153, 83-91. https://doi.org/10.1016/j.jclepro.2017.03.157
PRICOPOAIA, O., LUPAȘC, A. & MIHAI, I. O. (2024): Implications of Innovative Strategies for Sustainable Entrepreneurship—Solutions to Combat Climate Change. Sustainability, 16(22), 9742. https://doi.org/10.3390/su16229742
RAHMANI, O., REZANIA, S., BEIRANVAND POUR, A., AMINPOUR, S. M., SOLTANI, M., GHADERPOUR, Y. & ORYANI, B. (2020): An Overview of Household Energy Consumption and Carbon Dioxide Emissions in Iran. Processes, 8(8), 994. https://doi.org/10.3390/pr8080994
RITCHIE, H. (2020): Where do global greenhouse gas emissions come from? Our World in Data. https://ourworldindata.org/ghg-emissions-by-sector
STERN, P. C., DIETZ, T., RUTTAN, V. W., SOCOLOW, R. H. & SWEENEY, J. L. (1997): Environmentally Significant Consumption: Research Directions. National Academies Press. https://doi.org/10.17226/5430
SYAHID, A., TAREQ, M. A. & ZAKI, S. A. (2016): Sustainability or Bust: Malaysian Home Buyers’ Stated Preferences for Sus-Tainable Housing. MATEC Web of Conferences, 68, 13001. https://doi.org/10.1051/matecconf/20166813001
TATARI, O. & KUCUKVAR, M. (2011): Cost premium prediction of certified green buildings: A neural network approach. Building and Environment, 46(5), 1081-1086. https://doi.org/10.1016/j.buildenv.2010.11.009
TRAIN, K. (2009): Discrete Choice Methods with Simulation (2nd ed.). Cambridge University Press.
WASHINGTON, S. P., KARLAFTIS, M. G. & MANNERING, F. (2003): Statistical and Econometric Methods for Transportation Data Analysis. Chapman and Hall/CRC. https://doi.org/10.1201/9780203497111
XU, Z., LU, W., PENG, Z., HUANG, J. & SCHULDENFREI, E. (2025): Exploring floor plan design to achieve indoor thermal comfort in public housing: An integrated heat graph and machine learning approach. Building and Environment, 271, 112609. https://doi.org/10.1016/j.buildenv.2025.112609
ZALEJSKA-JONSSON, A. (2014): Stated WTP and rational WTP: Willingness to pay for green apartments in Sweden. Sustainable Cities and Society, 13, 46-56. https://doi.org/10.1016/j.scs.2014.04.007
ZHANG, L., CHEN, L., WU, Z., XUE, H. & DONG, W. (2018): Key Factors Affecting Informed Consumers’ Willingness to Pay for Green Housing: A Case Study of Jinan, China. Sustainability, 10(6), Article 6. https://doi.org/10.3390/su10061711
ZHAO, D. X., HE, B. J., JOHNSON, C. & MOU, B. (2015): Social problems of green buildings: From the humanistic needs to social acceptance. Renewable and Sustainable Energy Reviews, 51, 1594-1609. https://doi.org/10.1016/j.rser.2015.07.072
ZWERINA, K., HUBER, J. & KUHFELD, W. F. (1996): A General Method for Constructing Efficient Choice Designs. 19.
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2026 María Eugenia Sevillano Rodríguez, LUIS FERNANDO

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.
Sin perjuicio de lo dispuesto en la legislación vigente sobre Propiedad Intelectual, y conforme a la misma, el/la los/las autor/a/es/as que publiquen en CyTET cede/n a título gratuito, de modo no exclusivo y sin límite temporal al Ministerio de Transportes, Movilidad y Agenda Urbana los derechos para difundir, reproducir, comunicar y distribuir en cualquier formato actual o futuro, en papel o electrónico, la versión original o derivada de su obra bajo licencia de Creative Commons Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional (CC BY-NC-ND 4.0), así como para incluir o ceder a terceros la inclusión de su contenido en índices, repositorios y bases de datos nacionales e internacionales, con referencia y reconocimiento en todo caso de la autoría del mismo.
Además, al realizar el envío, el/la los/las autor/a/es/as declara/n que se trata de un trabajo original en el que se reconocen las fuentes que han sido utilizadas en su estudio, comprometiéndose a respetar la evidencia científica y a no modificar los datos originales para verificar o refutar una hipótesis de partida; que el contenido esencial del mismo no ha sido publicado previamente ni se publicará en ninguna otra obra o revista mientras esté en proceso de evaluación en la revista CyTET; y que no se ha remitido simultáneamente a otra publicación.
Los autores deben firmar un Formulario de Cesión de Derechos, que les será enviado desde la Secretaría de CyTET una vez se acepte su artículo para ser publicado.
Con el objetivo de favorecer la difusión del conocimiento, CyTET se adhiere al movimiento de revistas de Open Access (OA) y entrega la totalidad de sus contenidos a diversos índices, repositorios y bases de datos nacionales e internacionales bajo este protocolo; por tanto, la remisión de un trabajo para ser publicado en la revista presupone la aceptación explícita por parte del autor/a de este método de distribución.
Se anima a las/os autoras/es a reproducir y alojar sus trabajos publicados en CyTET en repositorios institucionales, páginas web, etc. con la intención de contribuir a la mejora de la transferencia del conocimiento y de la citación de dichos trabajos.




Enlace a CyTET en Linkedin