Implicancias de la inclusión financiera y el empleo informal en la pobreza monetaria de los departamentos del Perú

A pesar de un crecimiento sostenido del PBI del Perú en los últimos veinte años, la pobreza monetaria aún es el principal problema económico y social. Este fenómeno se extiende a dos factores importantes: la inclusión financiera y el empleo informal, que tienen implicancias en la sostenibilidad de l...

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Autores:: Grados-Smith, Pedro

Tipo de recurso:: Article of investigation

Fecha de publicación:: 2021

Institución:: Universidad Católica de Colombia

Repositorio:: RIUCaC - Repositorio U. Católica

Idioma:: spa

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dc.title.spa.fl_str_mv	Implicancias de la inclusión financiera y el empleo informal en la pobreza monetaria de los departamentos del Perú
dc.title.translated.eng.fl_str_mv	Implications of Financial Inclusion and Informal Employment on Monetary Poverty of Peru Departments
title	Implicancias de la inclusión financiera y el empleo informal en la pobreza monetaria de los departamentos del Perú
spellingShingle	Implicancias de la inclusión financiera y el empleo informal en la pobreza monetaria de los departamentos del Perú Inequality informal emplyment financial inclusion poverty health insurance desigualdad empleo informal inclusión financiera pobreza seguro de salud
title_short	Implicancias de la inclusión financiera y el empleo informal en la pobreza monetaria de los departamentos del Perú
title_full	Implicancias de la inclusión financiera y el empleo informal en la pobreza monetaria de los departamentos del Perú
title_fullStr	Implicancias de la inclusión financiera y el empleo informal en la pobreza monetaria de los departamentos del Perú
title_full_unstemmed	Implicancias de la inclusión financiera y el empleo informal en la pobreza monetaria de los departamentos del Perú
title_sort	Implicancias de la inclusión financiera y el empleo informal en la pobreza monetaria de los departamentos del Perú
dc.creator.fl_str_mv	Grados-Smith, Pedro
dc.contributor.author.spa.fl_str_mv	Grados-Smith, Pedro
dc.subject.eng.fl_str_mv	Inequality informal emplyment financial inclusion poverty health insurance
topic	Inequality informal emplyment financial inclusion poverty health insurance desigualdad empleo informal inclusión financiera pobreza seguro de salud
dc.subject.spa.fl_str_mv	desigualdad empleo informal inclusión financiera pobreza seguro de salud
description	A pesar de un crecimiento sostenido del PBI del Perú en los últimos veinte años, la pobreza monetaria aún es el principal problema económico y social. Este fenómeno se extiende a dos factores importantes: la inclusión financiera y el empleo informal, que tienen implicancias en la sostenibilidad de los mecanismos impulsores del crecimiento económico para aliviar la pobreza. Utilizando el modelo econométrico de mínimos cuadrados generalizados factibles (FGLS) con efectos fijos (FEGLS), a fin de controlar los efectos heterogéneos entre los departamentos del Perú durante el periodo 2010-2019, este documento evalúa empíricamente el impacto de la inclusión financiera y el empleo informal en la pobreza monetaria. Los resultados empíricos muestran que la expansión de la inclusión financiera beneficiaría a la reducción de la pobreza monetaria, en tanto con respecto al empleo informal se revela que existe una relación negativa: se determina que su desarrollo está asociado con la reducción de la pobreza, pero no es determinante para su alivio.
publishDate	2021
dc.date.accessioned.none.fl_str_mv	2021-09-08 00:00:00 2023-01-23T16:16:10Z
dc.date.available.none.fl_str_mv	2021-09-08 00:00:00 2023-01-23T16:16:10Z
dc.date.issued.none.fl_str_mv	2021-09-08
dc.type.spa.fl_str_mv	Artículo de revista
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dc.type.local.eng.fl_str_mv	Journal article
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dc.identifier.doi.none.fl_str_mv	10.14718/revfinanzpolitecon.v13.n2.2021.10
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dc.relation.citationedition.spa.fl_str_mv	Núm. 2 , Año 2021 : Vol. 13 Núm. 2 (2021)
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Tasa de recuento de pobreza de $ 5,50 al día. https://data. worldbank.org/indicator/SI.POV.UMIC?locations=PE Balboni, C., Bandiera, O., Burgess, R., Ghatak, M. y Heil, A. (2020). Why Do People Stay Poor? [STICERD - Economic Organisation and Public Policy Discussion Papers Series 067]. Suntory and Toyota International Centres for Economics and Related Disciplines, LSE. Banerjee, A. y Duflo, E. (2011). Poor Economics: A Radical Rethinking of the Way to Fight Global Poverty. Nueva York: Public Affairs. Banerjee, A., Breza, E., Duflo, E. y Kinnan, C. (2019). Can Microfinance Unlock a Poverty Trap Some Entrepreneurs? [Working Paper 26346]. Cambridge: National Bureau of Economic Research. DOI 10.3386/w26346 Baum, C. (2001). Residual Diagnostics for Cross-Section Time Series Regression Models. The Stata Journal, 1(1), 101-104. https://doi.org/10.1177/1536867X0100100108 Blau, B. M. (2018). Income Inequality, Poverty, and the Liquidity of Stock Markets. 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(2015). The Global Findex Database 2014: Measuring Financial Inclusion around the World [Policy Research Working Paper WPS 7255]. Washington: World Bank. Demirgüç-Kunt, A., Klapper, L., Singer, D., Ansar, S., y Hess, J. (2018). The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. Washington: World Bank Devincienti, F., Groisman, F. y Poggi, A. (2009). Informality and poverty: Are these processes dynamically interrelated? Evidence from Argentina [Working Papers 146]. ECINEQ, Society for the Study of Economic Inequality. Dollar, D. y Kraay, A. (2002). Growth is Good for the Poor. Journal of Economic Growth, 7(3), 195-225. Esping-Andersen, G. (1990). The Three Worlds of Welfare Capitalism. Princeton: Princeton University Press. Fields, G. S. (1975). Rural–Urban Migration, Urban Unemployment and Underemployment, and Job-Search Activity in LDCs. 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Lima: INEI. http://m.inei.gob.pe/estadisticas/indice-tematico/sociales/ Instituto Nacional de Estadística e Informática. (2020d). Población estimada y proyectada por sexo y tasa de crecimiento, según años calendarios. Lima: INEI. https://www.inei.gob.pe/estadisticas/indice-tematico/poblacion-y-vivienda/ Instituto Nacional de Estadística e Informática. (2020e). Producción y Empleo Informal en el Perú: Cuenta Satélite de la Economía Informal 2007-2019. https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1764/libro.pdf Jäckle, A. E. y Li, C. A. (2006). Firm Dynamics and Institutional Participation: A Case Study of Informality of Micro Enterprises in Peru. Economic Development and Cultural Change, 54(3), 557–578. http://dx.doi.org/10.1086/500027 Jeanneney, S. G. y Kpodar, K. (2011). Financial Development and Poverty Reduction: Can There Be a Benefit Without a Cost? Journal of Development Studies, 47(1), 143-163. https://doi.org/10.1080/00220388.2010.506918 Jütting, J. y de Laiglesia, J. (2009). Is Informal Normal? Towards More and Better Jobs in Developing Countries. OECD Development Centre. https://doi.org/10.1787/19900295 Jalilian, H. y Kirkpatrick, C. (2002). Financial Development and Poverty Reduction in Developing Countries. International Journal of Finance & Economics, 7(2), 97-108. https://doi.org/10.1002/ijfe.179 Khan, I., Khan, I., Sayal, A. U. y Khan, M.Z. (2021). Does Financial Inclusion Induce Poverty, Income Inequality, and Financial Stability: Empirical Evidence from the 54 African Countries? Journal of Economic Studies. https://doi.org/10.1108/JES-07-2020-0317 Kakwani, N. (1993). Performance in Living Standards: An International Comparison. Journal of Development Economics, 41(2), 307-336. https://doi.org/10.1016/0304-3878(93)90061-Q Kelikume, I. (2021). 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Journal of the American Statistical Association, 62(318), 500-509. https://doi.org/10.2307/2283977 Perry, G. E., Maloney, W. F., Arias, O. S., Fajnzylber, P., Mason, A. D. y Saavedra-Chanduvi, J. (2007). Informality: Exit and Exclusion. Washington: World Bank. Polloni-Silva, E., da Costa, N., Moralles, H. y Neto, M. (2021). Does Financial Inclusion Diminish Poverty and Inequality? A Panel Data Analysis for Latin American Countries. Social Indicators Research. https://doi.org/10.1007/s11205-021-02730-7 Quispe, M. y Roca, R. (2019). Determinantes de la pobreza en el Perú bajo el enfoque de activos. Pensamiento Crítico, 24(1), 55-78. https://doi.org/10.15381/pc.v24i1.16559 Rudrani, B. e Ila, P. (2016). Financial Inclusion, Productivity Shocks, and Consumption Volatility in Emerging Economies. The World Bank Economic Review, 30(1), 171-201. https://doi.org/10.1093/wber/lhv029 Santana Félix, E. G. y Belo, T. F. (2019). 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Lima: SBS. http://www.sbs.gob.pe/inclusion-financiera/Cifras/Indicadores Torres, R. M. (2020). Poverty and labor Informality in Colombia. IZA Journal of Labor Policy, 10(1), 1105-1129. https://doi.org/10.2478/izajolp-2020-0006 Townsend, P. (1979). Poverty in the United Kingdom. London: Allen Lane and Penguin Books. Vacaflores, D. E. (2018). Are Remittances Helping Lower Poverty and Inequality Levels in Latin America? The Quarterly Review of Economics and Finance, (68), 254-265. https://doi.org/10.1016/j.qref.2017.09.001 Valenzuela, I. (2013). Activos y contexto económico: Factores relacionados con la pobreza en el Perú. Working Paper series 013. Lima: BCRP. Valodia, I. y Devey, R. (2010). Formal-Informal Economy Linkages: What Implications for Poverty in South Africa? Law, Democracy and Development, (14), 1-26. DOI: 10.4314/ldd.v14i1.13 Von Fintel, D. y Orthofer, A. (2020). Wealth Inequality and Financial Inclusion: Evidence from South African Tax and Survey Records. Economic Modelling, (91), 568-578. https://doi.org/10.1016/j.econmod.2020.02.001 Urbina, D. y Quispe, M. R. (2017). La pobreza monetaria desde la perspectiva de la pobreza multidimensional: el caso peruano. Enfoque, (2), 77-98. http://doi.org/10.26439/enfoque2016.n002.1871 Wooldridge, J. (2002). Econometric Analysis of Cross Section and Panel Data. MIT Press
dc.rights.spa.fl_str_mv	Pedro Grados Smith - 2021
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spelling	Grados-Smith, Pedroe9568c3f-3aca-428a-afb9-694dd73d9a492021-09-08 00:00:002023-01-23T16:16:10Z2021-09-08 00:00:002023-01-23T16:16:10Z2021-09-08A pesar de un crecimiento sostenido del PBI del Perú en los últimos veinte años, la pobreza monetaria aún es el principal problema económico y social. Este fenómeno se extiende a dos factores importantes: la inclusión financiera y el empleo informal, que tienen implicancias en la sostenibilidad de los mecanismos impulsores del crecimiento económico para aliviar la pobreza. Utilizando el modelo econométrico de mínimos cuadrados generalizados factibles (FGLS) con efectos fijos (FEGLS), a fin de controlar los efectos heterogéneos entre los departamentos del Perú durante el periodo 2010-2019, este documento evalúa empíricamente el impacto de la inclusión financiera y el empleo informal en la pobreza monetaria. Los resultados empíricos muestran que la expansión de la inclusión financiera beneficiaría a la reducción de la pobreza monetaria, en tanto con respecto al empleo informal se revela que existe una relación negativa: se determina que su desarrollo está asociado con la reducción de la pobreza, pero no es determinante para su alivio.Despite the sustained growth of Peru's GDP in the last 20 years, Monetary Poverty is still the main economic and social problem, this phenomenon extends to 2 important factors such as financial inclusion and informal employment that have implications for sustainability of the driving mechanisms of economic growth to alleviate poverty. Using the feasible generalized least squares (FGLS) econometric model with fixed effects (FEGLS) to control for heterogeneous effects among Peruvian departments during the 2010-2019 period, this paper empirically assesses the impact of financial inclusion and informal employment in monetary poverty. The empirical results show that, the expansion of financial inclusion would benefit the reduction of monetary poverty, with respect to informal employment it is revealed that there is a negative relationship, it is determined that the development of informal employment is associated with the reduction of poverty, but it is not determining for your alleviation.text/htmlapplication/pdftext/xml10.14718/revfinanzpolitecon.v13.n2.2021.102011-76632248-6046https://hdl.handle.net/10983/29451https://doi.org/10.14718/revfinanzpolitecon.v13.n2.2021.10spaUniversidad Católica de Colombiahttps://revfinypolecon.ucatolica.edu.co/article/download/3743/4019https://revfinypolecon.ucatolica.edu.co/article/download/3743/3936https://revfinypolecon.ucatolica.edu.co/article/download/3743/4254Núm. 2 , Año 2021 : Vol. 13 Núm. 2 (2021)569254513Revista Finanzas y Política EconómicaAlaimo, V., Bosch, M., Gualavisí, M. y Villa, J. (2017). 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MIT PressPedro Grados Smith - 2021info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.https://creativecommons.org/licenses/by-nc-sa/4.0https://revfinypolecon.ucatolica.edu.co/article/view/3743Inequalityinformal emplymentfinancial inclusionpovertyhealth insurancedesigualdadempleo informalinclusión financierapobrezaseguro de saludImplicancias de la inclusión financiera y el empleo informal en la pobreza monetaria de los departamentos del PerúImplications of Financial Inclusion and Informal Employment on Monetary Poverty of Peru DepartmentsArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Textinfo:eu-repo/semantics/articleJournal articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionPublicationOREORE.xmltext/xml2624https://repository.ucatolica.edu.co/bitstreams/aec41c57-40b2-42ec-b089-ea1ce3606928/download29fa7c71144b893a4b8e6c7e6bfee880MD5110983/29451oai:repository.ucatolica.edu.co:10983/294512023-03-24 16:41:34.077https://creativecommons.org/licenses/by-nc-sa/4.0Pedro Grados Smith - 2021https://repository.ucatolica.edu.coRepositorio Institucional Universidad Católica de Colombia - RIUCaCbdigital@metabiblioteca.com

Implicancias de la inclusión financiera y el empleo informal en la pobreza monetaria de los departamentos del Perú

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