{"id":{"repo_id":"cape-town","oai_identifier":"oai:open.uct.ac.za:11427/27402"},"canonical_url":"https://search.dev.ndltd.org/etd/cape-town/oai:open.uct.ac.za:11427/27402","repository":{"repo_id":"cape-town","name":"University of Cape Town","base_url":"https://open.uct.ac.za/oai/request"},"display":{"title":"Demand for non-life insurance: Evidence from select insurance markets in Africa","abstract":"The impact of insurance market activity within financial development is gaining more attention in academia, as the sector experiences growth within emerging markets. This paper aims to understand which macro-economic and social variables impact the growth or decline of the non-life insurance sector broadly across Africa, with a view to provide recommendations to drive increased penetration across the region. The study examines the explanatory factors of non-life insurance demand in Africa, using annual data from 1990 to 2013 on 28 countries. Using Fixed Effects Panel Data Regression, the study finds that: levels of income, and unemployment rates have a significant negative impact on non-life insurance demand; whilst population growth rates, and the level of private sector credit (to GDP) positively impacted non-life insurance demand. Urbanisation rates, and levels of merchandise trade had statistically insignificant effects on non-life insurance demand. Since these variables only explained about 11 % of the variation in the dependent variable, the study suggests that further research into the cultural and institutional (ie. Legal / regulatory) dynamics is required to improve our understanding of what conditions would stimulate non-life insurance demand in future.","abstract_html":"The impact of insurance market activity within financial development is gaining more attention in academia, as the sector experiences growth within emerging markets. This paper aims to understand which macro-economic and social variables impact the growth or decline of the non-life insurance sector broadly across Africa, with a view to provide recommendations to drive increased penetration across the region. The study examines the explanatory factors of non-life insurance demand in Africa, using annual data from 1990 to 2013 on 28 countries. Using Fixed Effects Panel Data Regression, the study finds that: levels of income, and unemployment rates have a significant negative impact on non-life insurance demand; whilst population growth rates, and the level of private sector credit (to GDP) positively impacted non-life insurance demand. Urbanisation rates, and levels of merchandise trade had statistically insignificant effects on non-life insurance demand. Since these variables only explained about 11 % of the variation in the dependent variable, the study suggests that further research into the cultural and institutional (ie. Legal / regulatory) dynamics is required to improve our understanding of what conditions would stimulate non-life insurance demand in future.","abstract_has_math":false,"creators":["Chitiyo, Fadzai Chitiyo"],"institution":"Research of GSB","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Alhassan, Abdul Latif"],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017","date_published":"2017","updated_at":"2026-07-22T22:23:18Z","subjects":[],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11427/27402","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Alhassan, Abdul Latif"]},{"key":"dc:creator","label":"Author","values":["Chitiyo, Fadzai Chitiyo"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2018-02-07T12:12:17Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2018-02-07T12:12:17Z"]},{"key":"dc:date.issued","label":"Date","values":["2017"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Research of GSB"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["University of Cape Town"]},{"key":"dc:type","label":"Dc Type","values":["Master Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["Masters"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["MCom"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11427/27402"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The impact of insurance market activity within financial development is gaining more attention in academia, as the sector experiences growth within emerging markets. This paper aims to understand which macro-economic and social variables impact the growth or decline of the non-life insurance sector broadly across Africa, with a view to provide recommendations to drive increased penetration across the region. The study examines the explanatory factors of non-life insurance demand in Africa, using annual data from 1990 to 2013 on 28 countries. Using Fixed Effects Panel Data Regression, the study finds that: levels of income, and unemployment rates have a significant negative impact on non-life insurance demand; whilst population growth rates, and the level of private sector credit (to GDP) positively impacted non-life insurance demand. Urbanisation rates, and levels of merchandise trade had statistically insignificant effects on non-life insurance demand. Since these variables only explained about 11 % of the variation in the dependent variable, the study suggests that further research into the cultural and institutional (ie. Legal / regulatory) dynamics is required to improve our understanding of what conditions would stimulate non-life insurance demand in future."]},{"key":"dc:title","label":"Title","values":["Demand for non-life insurance: Evidence from select insurance markets in Africa"]}]}],"canonical_facts":{"dc:contributor.advisor":["Alhassan, Abdul Latif"],"dc:creator":["Chitiyo, Fadzai Chitiyo"],"dc:date.accessioned":["2018-02-07T12:12:17Z"],"dc:date.available":["2018-02-07T12:12:17Z"],"dc:date.issued":["2017"],"dc:description.abstract":["The impact of insurance market activity within financial development is gaining more attention in academia, as the sector experiences growth within emerging markets. This paper aims to understand which macro-economic and social variables impact the growth or decline of the non-life insurance sector broadly across Africa, with a view to provide recommendations to drive increased penetration across the region. The study examines the explanatory factors of non-life insurance demand in Africa, using annual data from 1990 to 2013 on 28 countries. Using Fixed Effects Panel Data Regression, the study finds that: levels of income, and unemployment rates have a significant negative impact on non-life insurance demand; whilst population growth rates, and the level of private sector credit (to GDP) positively impacted non-life insurance demand. Urbanisation rates, and levels of merchandise trade had statistically insignificant effects on non-life insurance demand. Since these variables only explained about 11 % of the variation in the dependent variable, the study suggests that further research into the cultural and institutional (ie. Legal / regulatory) dynamics is required to improve our understanding of what conditions would stimulate non-life insurance demand in future."],"dc:identifier.uri":["http://hdl.handle.net/11427/27402"],"dc:language.iso":["eng"],"dc:publisher.department":["Research of GSB"],"dc:publisher.institution":["University of Cape Town"],"dc:title":["Demand for non-life insurance: Evidence from select insurance markets in Africa"],"dc:type":["Master Thesis"],"dc:type.qualificationlevel":["Masters"],"dc:type.qualificationname":["MCom"]},"updated_at":"2026-07-22T22:23:18Z"}