Show simple item record

Spatial Distribution of Social Inequality in the Metropolitan District of Quito, Ecuador

dc.contributor.authorValencia-Salvador J.A
dc.contributor.authorSepúlveda-Murillo F.H
dc.contributor.authorFlores-Sánchez M.A
dc.contributor.authorBuiles N.M.S.
dc.date.accessioned2022-09-14T14:34:08Z
dc.date.available2022-09-14T14:34:08Z
dc.date.created2022
dc.identifier.issn3038300
dc.identifier.urihttp://hdl.handle.net/11407/7575
dc.descriptionExploring the spatial variation of regional social inequality allows the design of public policies; therefore, this study analyzes this phenomenon in the Metropolitan District of Quito, Ecuador (MDQ). To achieve this goal, an index was constructed to measure social inequality for each of the census sectors in the MDQ, using the Kernel nonlinear principal component analysis (KPCA) method. Two scenarios were considered while applying this method in order to select the one that best explained the social conditions of the census sectors according to the index. The first scenario used the method with no geographic weighting, and the second scenario involved the spatial component of the KPCA method. For the latter, appraisals of the properties in each census sector were considered. The results showed that by involving the spatial component in the method, the index reflects the MDQ reality better, and therefore, it could be seen that social inequality is highly spatially heterogeneous in the MDQ. © 2022, The Author(s), under exclusive licence to Springer Nature B.V.eng
dc.language.isoeng
dc.publisherSpringer Science and Business Media B.V.
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85127700502&doi=10.1007%2fs11205-022-02916-7&partnerID=40&md5=d2fa4f14e596cae274a00948e3aff90d
dc.sourceSocial Indicators Research
dc.titleSpatial Distribution of Social Inequality in the Metropolitan District of Quito, Ecuador
dc.typeArticle
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programCiencias Básicas
dc.type.spaArtículo
dc.identifier.doi10.1007/s11205-022-02916-7
dc.subject.keywordKernel nonlinear principal component analysiseng
dc.subject.keywordLiving conditionseng
dc.subject.keywordMarginalityeng
dc.subject.keywordSocial inequalityeng
dc.subject.keywordSpatial heterogeneityeng
dc.publisher.facultyFacultad de Ciencias Básicas
dc.affiliationValencia-Salvador, J.A., Facultad de Ciencias, Escuela Politécnica Nacional, Quito (Pichincha), 17012759, Ecuador
dc.affiliationSepúlveda-Murillo, F.H., Faculty of Basic Sciences, University of Medellin, Medellin, 050026, Colombia
dc.affiliationFlores-Sánchez, M.A., Facultad de Ciencias, Escuela Politécnica Nacional, Quito (Pichincha), 17012759, Ecuador
dc.affiliationBuiles, N.M.S., Faculty of Social and Human Sciences, University of Medellin, Medellin, 050026, Colombia
dc.relation.referencesAmara, M., Ayadi, M., The local geographies of welfare in Tunisia: Does neighbourhood matter? (2013) International Journal of Social Welfare, 22 (1), pp. 90-103
dc.relation.referencesAslam, A., Corrado, L., The geography of well-being (2012) Journal of Economic Geography, 12 (3), pp. 627-649
dc.relation.referencesBenson, T., Chamberlin, J., Rhinehart, I., An investigation of the spatial determinants of the local prevalence of poverty in rural Malawi (2005) Food Policy, 30 (5-6), pp. 532-550
dc.relation.referencesBöttcher, A., Wenzel, D., The Frobenius norm and the commutator (2008) Linear Algebra and Its Applications, 429 (8-9), pp. 1864-1885
dc.relation.referencesBromley, R., Introduction-the urban informal sector: Why is it worth discussing? (1978) World Development, 6 (9-10), pp. 1033-1039
dc.relation.referencesBuiles, N.M.S., (2016) Educación Y Paz: De La inclusión Al Reconocimiento De La Diversidad. Vulnerabilidad Y Desplazamiento En La Escuela, p. 97. , Complejidad, Conflictos Y Paces
dc.relation.referencesBurchardt, H.J., Why is Latin America so unequal? Attempts at explanation from an unusual perspective (2012) New Society, 239, p. 137
dc.relation.referencesCabrera-Barona, P., Influence of urban multi-criteria deprivation and spatial accessibility to healthcare on self-reported health (2017) Urban Science, 1 (2), p. 11
dc.relation.referencesCabrera-Barona, P., Murphy, T., Kienberger, S., Blaschke, T., A multi-criteria spatial deprivation index to support health inequality analyses (2015) International Journal of Health Geographics, 14 (1), p. 11
dc.relation.referencesCabrera-Barona, P., Wei, C., Hagenlocher, M., Multiscale evaluation of an urban deprivation index: Implications for quality of life and healthcare accessibility planning (2016) Applied Geography, 70, pp. 1-10
dc.relation.referencesCallens, M., Long-term trends in life satisfaction, 1973–2012: Flanders in Europe (2017) Social Indicators Research, 130 (1), pp. 107-127
dc.relation.referencesMunicipal Ordinance No (2011) 152
dc.relation.referencesDe Leeuw, J., Mair, P., Gifi methods for optimal scaling in R: The package homals (2009) Journal of Statistical Software, 31 (4), pp. 1-20
dc.relation.referencesDebnath, L., Mikusinski, P., (2005) Introduction to Hilbert spaces with applications, , Academic Press
dc.relation.referencesDemšar, U., Harris, P., Brunsdon, C., Fotheringham, A.S., McLoone, S., Principal component analysis on spatial data: An overview (2013) Annals of the Association of American Geographers, 103 (1), pp. 106-128
dc.relation.referencesEclac, N., Time for equality: Gaps to be closed, roads to be opened (2010) Thirty-Third Period of Sessions of ECLAC
dc.relation.referencesEclac, N., (2016) The Matrix of Social Inequality in Latin America
dc.relation.referencesEgüez Armas, V.D.L.M., Pérez Huachamboza, M.M., (2017) Multivariate Characterization of the Socioeconomic Level for the Urban Area of Ecuador, LIFE-ECV Conditions Survey, Ronda, p. 2014. , Bachelor’s thesis, Quito, UCE
dc.relation.referencesEiras-Franco, C., Flores, M., Bolón-Canedo, V., Zaragoza, S., Fernández-Casal, R., Naya, S., Tarrío-Saavedra, J., (2019). Case study of anomaly detection and quality control of energy efficiency and hygrothermal comfort in buildings (2019) 8Th International Conference on Data Science, Technology and Applications (Pp. 145–151). Prague, Czech Republic: DATA
dc.relation.references26–28, , July
dc.relation.referencesElbers, C., Lanjouw, J.O., Lanjouw, P., Micro-level estimation of poverty and inequality (2003) Econometrica, 71 (1), pp. 355-364
dc.relation.referencesGifi, A., (1990) Nonlinear multivariate analysis, , Wiley
dc.relation.referencesGuttman, L., The quantification of a class of attributes: A theory and method of scale construction. In The Prediction of personal adjustment (1941) Soc. Sci. Res. Council. Bull, 48, pp. 321-245. , P. Horst
dc.relation.referencesIwata, B.A., Dozier, C.L., Clinical application of functional analysis methodology (2008) Behavior Analysis in Practice, 1 (1), pp. 3-9
dc.relation.referencesJayasinghe, M., Smith, C., Poverty implications of household headship and food consumption economies of scales: A case study from Sri Lanka (2021) Social Indicators Research, 155 (1), pp. 157-185
dc.relation.referencesJohnson, R.A., Wichern, D.W., (2014) Applied multivariate statistical analysis, 4. , Prentice Hall
dc.relation.referencesKlugman, J., Rodríguez, F., Kovacevic, M., Kennedy, A., Jespersen, E., Orme, W., (2011) Human Development Report 2011. Sustainability and Equity: A Better Future for All. Madrid: United Nations Development Program, p. 42. , UNDP, Ediciones Mundi-Prensa
dc.relation.referencesLee, J.M., Yoo, C., Choi, S.W., Vanrolleghem, P.A., Lee, I.B., Nonlinear process monitoring using kernel principal component analysis (2004) Chemical Engineering Science, 59 (1), pp. 223-234
dc.relation.referencesLinting, M., Meulman, J.J., Groenen, P.J., van der Koojj, A.J., Nonlinear principal components analysis: Introduction and application (2007) Psychological Methods, 12 (3), pp. 336-358
dc.relation.referencesMatthews, S.A., The salience of neighbourhoods: Lessons from early sociology? (2008) American Journal of Preventive Medicine, 34 (3), pp. 257-259
dc.relation.referencesMaturo, F., Balzanella, A., Di Battista, T., Building statistical indicators of equitable and sustainable well-being in a functional framework (2019) Social Indicators Research, 146 (3), pp. 449-471
dc.relation.referencesMax-Neef, M.A., Elizalde, A., Hopenhayn, M., Development on a human scale: Concepts, applications and some reflections (Vol. 66) (2006) Icaria Editorial
dc.relation.referencesMika, S., Rätsch, G., Weston, J., Schölkopf, B., Smola, A.J., Müller, K.R., Invariant feature extraction and classification in kernel spaces (1999) In NIPS, pp. 526-532
dc.relation.referencesMorales, M.C., Gutiérrez, F.J.M., Development theories and regional inequalities: A bibliographic review (2009) Análisis Económico, 24 (55), pp. 365-383
dc.relation.referencesMoscoso, S.S., Evolution of income inequality in Ecuador, period 2007–2015 (2017) Volume, p. 13
dc.relation.referencesMurillo, F.H.S., Chica Olmo, J., Soto Builes, N.M., Spatial variability analysis of quality of life and its determinants: A case study of Medellín Colombia (2019) Social Indicators Research, 144 (3), pp. 1233-1256
dc.relation.referencesNam, J., Does economic inequality constrain intergenerational economic mobility? The association between income inequality during childhood and intergenerational income persistence in the United States (2021) Social Indicators Research, 154 (2), pp. 469-488
dc.relation.references(2015) INEC, 2105. , Living Conditions ECV, Sixth Round
dc.relation.referencesNaveed, T.A., Gordon, D., Ullah, S., Zhang, M., The construction of an asset index at household level and measurement of economic disparities in Punjab (Pakistan) by using MICS-micro data (2021) Social Indicators Research, 155 (1), pp. 73-95
dc.relation.referencesNaya, S., Tarrío-Saavedra, J., Zaragoza, S., Sánchez, M.A.F., Oviedo, M., Statistical quality control with functional data. An application to energy efficiency (2015) Proceedings of the 60Th ISI World Statistics Congress, 26–31 July, 2015, pp. 3425-3432
dc.relation.referencesNaya, S., Tarrío-Saavedra, J., López-Beceiro, J., Francisco-Fernández, M., Flores, M., Artiaga, R., Statistical functional approach for interlaboratory studies with thermal data (2014) Journal of Thermal Analysis and Calorimetry, 118 (2), pp. 1229-1243
dc.relation.referencesNussbaum, M., (2012) Create Capacities: Proposal for Human Development, , Iwata
dc.relation.referencesNussbaum, M., (2000) Women and human development: The capabilities approach. New, , Cambridge University Press
dc.relation.referencesNussbaum, M., (2004) Hiding from humanity, , Princeton University Press
dc.relation.referencesNussbaum, M., (2006) Frontiers of justice, , Belknap Press
dc.relation.referencesNussbaum, M., Sen, A., (1993) Quality of life, , (eds), Oxford University Press
dc.relation.referencesOECD guidelines for measuring subjective well-being (2013) Measurement of Subjective Well-Being, pp. 139-178. , https://doi.org/10.1787/9789264191655-7-en
dc.relation.references(2014) GDP as a Measure of Well-Being: The Agenda beyond GDP, , https://doi.org/10.1787/9789264214637-16-en
dc.relation.references(2015) Transforming Our World: The 2030 Agenda for Sustainable Development, , New York, USA, United Nations
dc.relation.referencesPeralta, E., Tasquer, R.M., (2003) Quito: Cultural Heritage of Humanity, , MRE Ecuador
dc.relation.referencesPérez, F.J., Political economy and land appraisal methods (2015) Equity and Development, 1 (24), pp. 53-95
dc.relation.referencesPun-Cheng, L.S., Distance decay. International encyclopedia of geography: People, the earth, environment and technology: People, the earth (2016) Environmental Technology, pp. 1-5
dc.relation.referencesRawls, J., (1995) Political Liberalism, , UNAM
dc.relation.referencesRawls, J., (2002) Justice as fairness, , Paidós, Barcelona, Mexico
dc.relation.referencesRomdhani, S., Gong, S., Psarrou, A., A Multi-View Nonlinear Active Shape Model Using Kernel PCA (1999) BMVC, 10, pp. 483-492
dc.relation.referencesSamaniego Ponce, P., (2013) Evolución De La Pobreza Y La Desigualdad En Quito
dc.relation.referencesSchölkopf, B., Smola, A., Müller, K.R., Nonlinear component analysis as a kernel eigenvalue problem (1998) Neural Computation, 10 (5), pp. 1299-1319
dc.relation.referencesSegura, R., Socio-spatial inequalities in Latin American cities: Two problems (2014) A Paradox and a Proposal
dc.relation.referencesSen, A., (1993) Capability and Well-Being, , M. C. Nussbaum
dc.relation.referencesSen, A.K., (1980) Equality of what? Tanner lectures on human values, , University of Utah Press
dc.relation.referencesSen, A., (2000) Development as freedom, , Anchor
dc.relation.referencesSen, A., (2002) Rationality and freedom. Cambridge, , Belknap Press
dc.relation.referencesSen, A., El nivel de vida (2003) Editorial Complutense
dc.relation.referencesSen, A.K., Capabilities, lists, and public reason: Continuing the conversation (2004) Feminist Economics, 10 (3), pp. 77-80
dc.relation.referencesSen, A., What do we want from a theory of justice? (2006) J Philos, 103 (5), pp. 215-238
dc.relation.referencesSen, A., Valores y justicia (2012) Revista de Metodología Económica, 19 (2), pp. 101-108
dc.relation.referencesSepúlveda-Murillo, F.H., Soto-Builes, N.M., Checa-Olivas, M., Chica-Olmo, J., Mapping spatial variability of the quality of life in the city of Medellin-Colombia (2020) Studies of Applied Economics, 38 (1). , &
dc.relation.referencesStrager, M.P., Rosenberger, R.S., Incorporating stakeholder preferences for land conservation: Weights and measures in spatial MCA (2006) Ecological Economics, 57 (4), pp. 627-639
dc.relation.referencesSuykens, J.A., Signoretto, M., Argyriou, A., (2014) Regularization, optimization, kernels, and support vector machines, , (eds), CRC Press, Florida
dc.relation.referencesTobler, W.R., Estimation of attractivities from interactions (1979) Environment and Planning A, 11 (2), pp. 121-127
dc.relation.referencesTokman, V., The imperative to act. The informal sector today (1987) Nueva Sociedad, 90, pp. 93-105
dc.relation.referencesWei, C., Barona, P.C., Blaschke, T., Where is the poverty area? quantifying the neighborhood effect in a deprivation index estimation: A case study in Quito Ecuador (2015) Gi_forum, 2015, pp. 625-634
dc.relation.referencesWei, C., Cabrera Barona, P., Blaschke, T., A new look at public services inequality: The consistency of neighborhood context and citizens’ perception across multiple scales (2017) ISPRS International Journal of Geo-Information, 6 (7), p. 200
dc.relation.referencesWei, C., Cabrera-Barona, P., Blaschke, T., Local geographic variation of public services inequality: Does the neighborhood scale matter? (2016) International Journal of Environmental Research and Public Health, 13 (10), p. 981
dc.relation.referencesZolotova, I.N., Analysis of inequality in the distribution of real estate wealth in the Metropolitan District of Quito (2017) Analítika: Revista De Análisis Estadístico., 13, pp. 135-170
dc.type.coarhttp://purl.org/coar/resource_type/c_6501
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.driverinfo:eu-repo/semantics/article
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellín
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.instnameinstname:Universidad de Medellín


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record