【正文】
r the argument that regional ine divergence is explained by an increase in the average ine gap between the coast and the inland, rather than by an increase in the variance within either the coast or the inland regions. Physical capital stock persistently shows a significant impact on GDP growth in China. Human capital has been shown to contribute significantly to growth and welfare in China. Both physical capital and human capital, therefore, are part of the explanation for differences in regional development. There is also a general view that economic integration is a strong factor in regional development in China. The importance of economic integration and openness for China’s provinces is broadly acknowledged. Location may also be important in this. The advantageous location of the coastal provinces is noted in several studies in the context of lower transportation costs and a more successful open door policy. Another way of putting this argument is to say that geography that translates into lower international transaction costs is responsible for a significant part of the successful growth of the coastal belt. There is also an argument that remote regions cannot catchup with their eastern counterparts due to the long distance to economic centers that these remote regions face. What Gries and Redlin do is build a model that examines the determinants of per capita ine growth for 28 Chinese provinces over the period 1991–2020. The specifics of their model we will skip over except to note that what they do is a kind of bination of a standard type of socalled neoclassical growth model and the new economic geography model and newer growth theories