Importance of health spending in the Base of the Pyramid (BoP) population in Táchira, Venezuela
Abstract
Introduction. This research analyzes whether health is among the three main expenditures that a household allocates from its income in the population at the base of the pyramid (BoP) and whether there is an association with people belonging to different socioeconomic levels of the BoP in the state of Táchira, Venezuela. Methods. Data was obtained from a structured questionnaire applied to a sample of 1,398 households in the Táchira region, Venezuela, which were classified by socioeconomic levels through the construction of a global synthetic index that, through scales, allows segmenting households by poverty conditions, from the most intense poverty condition to the most favorable non-poverty condition respectively, resulting in 675 households at the base of the pyramid. Results. For households at BoP levels 2 and 3, health expenditures are presented in greater proportion than in level 1, with a value of 55.74% and 51.77%, respectively, while in level 1 only 26.67% of households included health expenditures among the top three, likewise there is evidence of association between the BoP level and the categories of expenditures on housing, public services, health, and education. Conclusions. The multivariate method used to classify the socioeconomic level of people at the base of the pyramid, different from the traditional one, which uses a unidimensional selection criterion that defines the BoP as people with incomes of less than $3,000 per year.
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Yunus M. Creating a world without poverty: Social business and the future of capitalism. PublicAffairs; 2007.
Counts A. Small loans, big dreams: How Nobel prize winner Muhammed Yunus and microfinance are changing the world. 1a ed. Chichester, Inglaterra: John Wiley & Sons; 2008.
Kliksberg B. América Latina: La Región más Desigual de Todas. Revista de ciencias sociales. 2009;11(3). Available at: http://dx.doi.org/10.31876/rcs.v11i3.25295
Pineda-Escobar MA. Negocios y sostenibilidad en la Base de la Pirámide. Punto Vista [Internet]. 2015;5(9). Available at: http://dx.doi.org/10.15765/pdv.v5i9.566
Praceus S. Consumer innovation at the base of the pyramid: Emerging patterns of user innovation in a resource-scarce setting. Springer Gabler; 2014.
Prahalad CK, Hart SL. The fortune at the bottom of the pyramid. Rev Eletrônica Estratég Neg [Internet]. 2010;1(2):1. Available at: http://dx.doi.org/10.19177/reen.v1e220081-23
Prahalad CK. Fortune at the bottom of the pyramid, the: Eradicating poverty through profits: Revised and updated 5th anniversary edition. Wharton School Publishing; 2010.
Prahalad CK. La Oportunidad de Negocios en la Base de la Piramide: Un Modelo de Negocio Rentable, Que Sirve A las Comunidades Mas Pobres. Grupo Editorial Norma; 2005.
Thakur R. Community marketing: serving the base of the economic pyramid sustainably. J Bus Strategy [Internet]. 2015;36(4):40–7. Available at: http://dx.doi.org/10.1108/jbs-04-2014-0041
Contreras Velásquez JC, Wilches Duran SY, Delgado Rangel M, Cerda Carrasco MR. Mercado base de pirámide urbano y rural en Norte de Santander, Colombia. Revista venezolana de gerencia. 2017;21(76).
Guesalaga R, Marshall P. Purchasing power at the bottom of the pyramid: differences across geographic regions and income tiers. J Consum Mark [Internet]. 2008;25(7):413–8. Available at: http://dx.doi.org/10.1108/07363760810915626
Kempson E. Life on a low income. York, Inglaterra: Joseph Rowntree Foundation; 1996.
Daly M, Leonard M. Against All Odds: Family Life on a Low Income in Ireland. Dublin: Combat Poverty Agency; 2002.
Andreasen AR. The Disadvantaged Consumer. Nueva York, NY, United States of America: Free Press; 1975.
Chikweche T, Fletcher R. Understanding factors that influence purchases in subsistence markets. J Bus Res [Internet]. 2010;63(6):643–50. Available at: http://dx.doi.org/10.1016/j.jbusres.2009.04.024
García JI, Albornoz N, Mazuera R, D. Aleta J., Contreras AR, González WR, et al. El Táchira en cifras. El contrabando en las ciudades de frontera desde la perspectiva de la institucionalidad. San Cristóbal: UCAT; 2016.
Coleman RP. The continuing significance of social class to marketing. J Consum Res [Internet]. 1983;10(3):265. Available at: http://dx.doi.org/10.1086/208966
Camelo H. Subdeclaración de ingresos medios en las encuestas de hogares, según quintiles de hogares y fuente del ingreso. Segundo Taller Regional sobre Medición del Ingreso en las Encuestas de Hogares-LC/R. :459–73.
Donza E. Incidencia de la no respuesta a las preguntas de ingresos en la Encuesta Permanente de Hogares, consideraciones teóricas y efectos. Gran Buenos Aires 1990-2010. IX Jornadas de Sociología. 2011;8–12.
Feres JC. Falta de respuesta a las preguntas sobre el ingreso: su magnitud y efectos en las encuestas de hogares de América Latina. Segundo Taller Regional sobre Medición del Ingreso en las Encuestas de Hogares-LC/R 1886-1998, BID. 1998;399–422.
Llach J, Montoya S. En pos de la equidad: la pobreza y la distribución del ingreso en el área metropolitana de Buenos Aires, diagnóstico y alternativas de políticas. Buenos Aires: IERAL; 1999.
Roca E, Pena H. La Declaración de Ingresos en las Encuestas de Hogares. En: 5° Congreso Nacional de Estudios del Trabajo. Buenos Aires: ASET; 2001. p. 1–24.
Gómez PS. Construcción de estratos socioeconómicos en Paraguay: aplicación con análisis de componentes principales en R. Astrolabio. 2014;(12):422–47.
Minujin A, Bang JH. Indicadores de inequidad social. Acerca del uso del" índice de bienes" para la distribución de los hogares. Desarrollo Económico. 2002;42(165):129–46.
Loayza NV, Rancière R, Servén L, Ventura J. Macroeconomic volatility and welfare in developing countries: An introduction. World Bank Econ Rev [Internet]. 2007;21(3):343–57. Available at: http://dx.doi.org/10.1093/wber/lhm017
Vélez EC, Moreno H. Metodología estadística del modelo de ponderaciones del sistema de selección de beneficiarios de programas sociales SISBEN. Bogotá: Departamento Nacional de Planeación; 1994.
Camardiel A, Vásquez M, Ramírez G. Una propuesta para la construcción de un Índice Sintético de Pobreza. Revista venezolana de análisis de coyuntura. 2000;121–42.
van der Burg E, de Leeuw J, Verdegaal R. Homogeneity analysis withk sets of variables: An alternating least squares method with optimal scaling features. Psychometrika [Internet]. 1988;53(2):177–97. Available at: http://dx.doi.org/10.1007/bf02294131
Vyas S, Kumaranayake L. Constructing socio-economic status indices: how to use principal components analysis. Health Policy Plan [Internet]. 2006;21(6):459–68. Available at: http://dx.doi.org/10.1093/heapol/czl029
Kolenikov S, Angeles G. Socioeconomic status measurement with discrete proxy variables: Is principal component analysis a reliable answer? Rev Income Wealth [Internet]. 2009;55(1):128–65. Available at: http://dx.doi.org/10.1111/j.1475-4991.2008.00309.x
Khudri MM, Chowdhury F. Evaluation of socio-economic status of households and identifying key determinants of poverty in Bangladesh. European Journal of Social Sciences. 2013;27(3):377–87.
McKenzie DJ. Measuring inequality with asset indicators. J Popul Econ [Internet]. 2005;18(2):229–60. Available at: http://dx.doi.org/10.1007/s00148-005-0224-7
Filmer D, Pritchett LH. Estimating wealth effects without expenditure data-or tears: An application to educational enrollments in states of India. Demography [Internet]. 2001;38(1):115. Available at: http://dx.doi.org/10.2307/3088292
Hammond AL, Kramer WJ, Katz RS, Tran JT, Walker C. The next 4 billion: Market size and business strategy at the base of the pyramid. Washington D.C., United States: World Resources Institute; 2007.