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Structural Equation Analysis of Microinsurance Dimensions: Basis for Sustainability Model of the Marginalized in the Philippines

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  • Antonio E. Etrata

    (Graduate School,University of Santo Tomas, Manila, Philippines)

  • Fernando L. Trinidad

    (Graduate School,University of Santo Tomas, Manila, Philippines)

Abstract

The objective of this research is centered on determining different microinsurance dimensions towards promoting the sustainability of the marginalized. This central objective leads to the assumption that microinsurance is a good tool to supplement the lack of or the unavailability of social protection programs intended for those who are socially excluded. Over the years, there have been increased calls among governments all over the world to end poverty. The call puts to order the use of all available means to attain the 2030 Agenda for Sustainable Development. As a background, the 2030 Agenda for Sustainable Development was adopted in 2015 by all United Nations Member States. It encompasses 17 Sustainable Development Goals (SDGs), which is an urgent call for action for all developed and developing countries to form a global partnership in promoting peace and prosperity for people and the planet, now and into the future. The very heart of this framework recognizes that ending poverty and other deprivations must have effective and efficient strategies. The research made use of purely quantitative methods to achieve its objectives. There were 600 questionnaires distributed all over the Philippines but only 422 questionnaires were retrieved. The indicators of microinsurance were factor analyzed using the principal axis method with varimax rotation to determine the underlying dimensions. Since its introduction to the market, microinsurance has been a tool that enables low-income households to become resilient against adversities. In fact, it has been found in various literature that microinsurance has functioned as a social protection mechanism when social services are inadequate or not available. It can be further concluded that microinsurance with its unprecedented growth is eyed as a primary contributor to achieving the majority of the SDG 2030. This monumental role of microinsurance calls for the support of various sectors. As indicated in the results, financial literacy has to increase among the marginalized to embrace the concept of insurance. The government likewise has to intervene in promoting microinsurance particularly in areas that are neglected by social services for whatever reasons. Key Words: Marginalized, Microinsurance, Structural Equation Analysis, Sustainability

Suggested Citation

  • Antonio E. Etrata & Fernando L. Trinidad, 2020. "Structural Equation Analysis of Microinsurance Dimensions: Basis for Sustainability Model of the Marginalized in the Philippines," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 9(4), pages 228-236, July.
  • Handle: RePEc:rbs:ijbrss:v:9:y:2020:i:4:p:228-236
    DOI: 10.20525/ijrbs.v9i4.738
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    References listed on IDEAS

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    1. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    2. Akotey, Joseph Oscar & Adjasi, Charles K.D., 2016. "Does Microcredit Increase Household Welfare in the Absence of Microinsurance?," World Development, Elsevier, vol. 77(C), pages 380-394.
    3. -, 2009. "The economics of climate change," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38679, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
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