Beyond distance: The spatial relationships of European regional economic growth
本文采用动态空间自回归增长模型，分析2000-2019年欧洲区域经济产出的空间关系，通过贝叶斯方法估计空间权重矩阵，发现经济与部门特征显著影响区域间相互依赖程度，为理解区域经济发展提供了超越地理距离的视角。
We analyze the spatial relationships of economic output dynamics in European regions from 2000 to 2019 using dynamic spatial autoregressive growth models. In contrast to previous studies that rely on exogenous spatial weight matrices based solely on geographical proximity, we use a novel Bayesian approach to fully estimate the spatial weight matrix. Our results show that economic and sectoral characteristics (e.g. sectoral production structure, education, etc.) significantly influence the degree of regional interdependence. The approach thus allows to study the complex dynamics of regional economic development beyond mere distance.