期刊
JOURNAL OF REGIONAL SCIENCE
卷 62, 期 1, 页码 307-330出版社
WILEY
DOI: 10.1111/jors.12566
关键词
cohesion policy; dynamic mean group estimator; EU structural funds; heterogeneous coefficient model; long-run policy effects; regional growth; regional policy
资金
- Ministero dell, Universita e della Ricerca
This article examines the heterogeneous consequences of the EU cohesion policy on regional economic growth in Europe over the past three decades, as well as the regional differences in policy effects based on the level of assistance received. It also discusses the need for ineffective cases to learn from effective and trigger ones in the long run.
Many academic papers have looked at the economic effects of the EU cohesion policy, which still remain an open empirical issue. The focus of the most recent literature has been on the heterogeneous effects of the policy and the identification of regional conditioning factors. However, most of the existing studies generally assume slope homogeneity for different cross-sectional units (i.e., regions) and they estimate the average effects of the policy for all the European regions and/or selected groups of regions. Past works also employ data covering few programming periods. This paper has two main goals. First, we study the heterogeneous consequences of EU cohesion policy on regional economic growth in Europe over the past three decades, by applying a heterogeneous coefficient approach to new panel-time series data. We calculate the region-specific effects of the policy in terms of long-run gross domestic product growth. Second, we study regional differences in terms of policy effects depending on the level of assistance received by the regions. We make a distinction among cases of effective, ineffective, trigger and marginal policy. We also document that the effectiveness of EU cohesion policy in the long run can be explained by some of the key factors used in the literature. Finally, we discuss the need for ineffective cases to learn from effective and trigger ones.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据