Poverty Gap Analysis in Light of Economic Complexity

Document Type : RESEARCH PAPER

Authors

1 Professor, Faculty of Economics, University of Tehran, Tehran, Iran

2 Master in Economics, Faculty of Economics and Administrative Sciences, University of Mazandaran, Babolsar, Iran

Abstract

Poverty reduction has long been one of the core objectives of sustainable development. Economic complexity, as an indicator of a country’s technological, human capital, and structural capacity to produce sophisticated and diversified goods, can play a critical role in shaping income distribution and welfare. This study aims to examine the impact of economic complexity on the poverty gap across 50 selected countries during the period 2010–2024. Using a dynamic panel data model estimated through the System Generalized Method of Moments (System GMM), the analysis further considers four distinct scenarios for developed countries, high-income economies, resource-rich countries, and those with an economic complexity index (ECI) above the global average. The baseline results reveal that higher economic complexity generally reduces the poverty gap, although in some groups the relationship turns positive, implying that technological sophistication may exacerbate inequality. Moreover, real GDP per capita growth is found to decrease the poverty gap, while unemployment, urbanization, and the industry-to-agriculture value-added ratio significantly increase it. Inflation is statistically insignificant. These findings suggest that in highly complex economies, complementary policies are essential to mitigate inequality and ensure that the benefits of economic sophistication are distributed more inclusively across society.

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