题 目:Railroad Development, Temporal-spatial Externalities and Growth Spillover:Theory and Empirical Evidence
时 间:2016年3月24日(周四)下午4:00-5:30
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 railroad lengths and calculating the fastest region-to-region routes. China has undergone an high-speed railroad (CRH) building boom over the past decade. We collect provincial economic and railroads data over the period 2003 to 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 consistent direct and indirect impacts.