Railroad development, temporal‐spatial externalities, and growth spillover: Theory and empirical evidence
通过构建考虑时变溢出效应的扩展索洛模型，利用中国2003-2012年省级经济和铁路数据，发现时空外部性显著，且时空面板模型比经典空间模型拟合更好、效应估计更一致。
Abstract This paper develops an extended Solow model by considering the time‐variant spillover effect of interregional economies. Instead of using fixed spatial distances among regions, the regions' temporal‐spatial distances are measured by constructing a database of train types and calculating the fastest region‐to‐region routes. We collect provincial economic data and railroads data over the period 2003–2012 in China to establish a dynamic temporal‐spatial panel model. The estimation results indicate significant temporal‐spatial externalities. Compared with classical spatial models, the temporal‐spatial model not only has a much better goodness‐of‐fit but also has consistent total effects, direct effects and indirect effects.