Description
Title: A New Approach to Examining Cohesion Policy’s Non-Linear and Mediated Growth and Convergence Outcomes
Abstract: By outlining a novel strategy for investigating the cohesion policy’s (CP) direct impact on convergence, this paper adds to the vast body of research on its results. By including institutions and 2- and 3-way multiplicative terms as moderators for both growth and convergence, we expanded the conditional convergent model’s non-linear pecification. We discovered empirical evidence that institutional quality can scale down the diminishing marginal impact of funding and even start its increase by developing and computing conditional slope coefficients and their standard errors. Our data on changes to programming period, disaggregation levels, and CP outcomes are solid. Our research’s conclusions point to a redistribution of funds over the years 2021–2027 in favor of initiatives aimed at improving institutional quality.
Keywords: β-convergence model; multiplicative term; conditional slope coefficient; conditional standard error; non-linear model
Paper Quality: SCOPUS / Web of Science Level Research Paper
Subject: Economics
Writer Experience: 20+ Years
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