Assessing Strategies for Reducing Global Poverty
This study explores strategies for reducing global poverty, focusing on the first Millennium Development Goal (MDG) of halving the global poverty rate. Using the International Futures (IFs) global modeling system, the research assesses the potential benefits of human intervention on poverty levels and rates, especially in the long term. The analysis reveals that while global poverty is likely to fall even without additional interventions, Sub-Saharan Africa may see poverty numbers rise. No single intervention emerges as a silver bullet; however, packages of actions show promise in significantly reducing poverty by 2050, potentially moving over 200 million additional people out of poverty. The study emphasizes the importance of a twin-track approach, combining immediate direct assistance with long-term growth strategies.
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| Quick Facts | |
|---|---|
| Report location: | source |
| Language: | English |
| Publisher: | University of Denver |
| Authors: | Mohammod T. Irfan, Barry B. Hughes |
| Geographic focus: | Global |
Methods
The research method involves the use of the International Futures (IFs) global modeling system, which forecasts poverty levels based on various interventions and their impact on proximate drivers of poverty such as population growth, economic growth, and income distribution.
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Key Insights
The research uses the International Futures (IFs) global modeling system to forecast poverty levels and analyze the impact of various interventions on poverty reduction. The study begins with an assessment of current poverty levels and trends, followed by the development of scenarios that manipulate proximate drivers of poverty such as population growth, economic growth, and income distribution. The analysis then explores a range of interventions, both domestic and international, to assess their individual and combined potential to reduce poverty. The study also considers the time-dependent effects of interventions, highlighting the importance of a twin-track approach that includes both immediate assistance and long-term investment strategies.
(Generated with the help of GPT-4)
Additional Viewpoints
Categories: English publication language | Global geographic scope | economic growth | forecasting methodology | global | global modeling | human development | income distribution | intervention impact | long-term strategies | millennium development goals | poverty | poverty reduction | scenario | sub-saharan africa