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“Changing the Narrative: The Need for a More Holistic Approach to Eradicate Poverty” - A Linear Regression Analysis of Alternative Policy Domains regarding the Reduction of Extreme Poverty Levels Worldwide

Görs, T (2022) “Changing the Narrative: The Need for a More Holistic Approach to Eradicate Poverty” - A Linear Regression Analysis of Alternative Policy Domains regarding the Reduction of Extreme Poverty Levels Worldwide. Bachelor thesis, Global Responsibility & Leadership (GRL).

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Abstract

If we want to eliminate extreme poverty by 2030, new strategies of poverty reduction need to be formulated. This requires a stronger focus on the planning and implementation process of policy making, eliminating the “anything goes” mindset. Furthermore, we need to shift from the common growth-centric, to a more holistic development strategy. Poverty should be tackled with a multi-dimensional perspective, including the impacts of social and political inequalities among society. Recognising these needs, this research applied a multiple-linear regression analysis to determine the statistical associations between different socio-economic policy domains and extreme poverty levels on a global scale. Next to an overall investigation, it concentrated the data analysis specifically on low- and middle-income countries to capture the circumstances of those most in need. The results present negative associations between Poverty and Life Expectancy, the Labour Force Gender Ratio, as well as overall Income Inequality. While this indicates that a focus on these variables might positively contribute to the reduction of poverty, more country-specific research is needed. Surprisingly, logGDP per capita showed a positive association with Poverty, suggesting that it is not a useful predictor of poverty and does not capture human-wellbeing. In light of these results, it must be profoundly discussed why the growth-centric approach still remains the default in the development discussion.

Item Type: Thesis (Bachelor)
Name supervisor: Papakonstantinou, M.A.
Date Deposited: 09 Sep 2022 13:11
Last Modified: 09 Sep 2022 13:11
URI: https://campus-fryslan.studenttheses.ub.rug.nl/id/eprint/155

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