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                <text>Populism, a group of political ideas that are addressing the "ordinary people" who feel disregarded by established elite groups, has not lost significance in the last years. Despite the recent political failures of a few populist leaders, anti-elitist and anti-immigrant parties continue to be prevalent around the world.&#13;
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The general narrative around populism tends to limit its focus to unemployment, immigration and inequality. Germany provides a suitable case study to test if these factors are significant predictors since its Eastern states continue to give the most support to the far-right populist Alternative für Deutschland (AfD), despite East Germany's low levels of income inequality, unemployment and share of foreigners.&#13;
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To explore the relationship between income inequality and populism, quantitative data is used to regress the share of AfD votes on Bundesland Gini coefficients. Our results are then controlled for year dummies, unemployment, share of foreigners, East/West dummies and complemented by further qualitative research on the historical, political and socio-economic context.&#13;
We found that (1) the strong negative correlation between regional income inequality and populism is due to the absorption of other implications of the 40-year-long state socialism, (2) regional, Bundesland-level inequalities are not significant predictors of populist success as country-level inequalities are considered by voters and (3) perceptions of socio-economic and political issues have a greater role in electoral outcomes than the real size of these issues.&#13;
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              <text>This study examines the impact of the Pradhan Mantri MUDRA Yojana (PMMY) on enterprise creation in India, addressing a gap in the literature that emphasises loan trends rather than causal outcomes. Using panel data from 33 states and union territories between 2011–2021, fixed-effects regressions estimate the relationship between per-capita PMMY disbursements and MSME registrations. The results show a marked rise in MSME formation after the scheme’s launch in 2015, with per-capita lending associated with nearly one additional MSME per 1,000 people in the following year. This relationship remains robust after controlling for income, banking infrastructure and national shocks, though significant variation exists across states. Wealthier states display stronger impacts, while poorer or infrastructure-constrained regions benefit less. Interviews with beneficiaries support these patterns, indicating that although PMMY improves credit access, sustained enterprise growth also depends on market access, financial literacy and broader institutional support. </text>
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