泛珠三角区域多层经济增长理论模型及应用研究——基于社会嵌入性视角的分析

Multilevel Economic Growth Theory Model and Application Research in Pan-Pearl River Delta Region:Analysis Based on the Perspective of Social Embedded

通过有效整合经济增长、社会嵌入性和多层统计模型三个方面的理论,构建了基于嵌入视角的多层经济增长理论模型,解决了经济增长影响因素的作用路径问题以及社会嵌入性变量对经济增长影响的精确性问题。利用泛珠三角区域1996—2013年的面板数据,实证分析了嵌入视角下泛珠三角区域的经济增长。结果表明:在泛珠三角区域经济增长的整体差异中,60.34%的份额是由经济增长的社会嵌入性造成的。资本存量为正向显著直接影响因素,产值结构为负向显著直接影响因素;经济增长百度指数、外资依存度和财政支出规模既能显著直接影响经济增长又能调节资本存量与经济增长之间的正向关系,市场化率对资本存量与经济增长之间的正向关系具有显著的调节作用;经济增长百度指数、外资依存度还能调节人力资本与经济增长之间的正向关系。因此,提高经济增长要同时考虑经济增长基本因素与社会嵌入性因素。

Through the effective integration of the economic growth, social embedded and multilevel statistical model theory, this paper constructs the model of multilevel growth theory based on embedded perspective. It solves the problem of the effect path of the factors affecting economic growth, as well as the precision influence of social embedded variables on economic growth. Using the panel data of Pan-Pearl River Delta Region in 1996-2013,empirically analyses the economic growth of Pan-Pearl River Delta Region based on the embedded perspective. The results showed： overall differences in economic growth, 60. 34% of the share is caused by social embedding of economic growth. Capital stock is a positive significant direct impact factor. The output value structure is a negative significant direct impact factor. Baidu index of economic growth, foreign dependency and the scale of finance expenditure can significantly affect economic growth, but also adjust the positive relationship between capital and economic growth. The marketization rate has a significant adjusting role on the positive relationship between capital and economic growth. Baidu index of economic growth and foreign dependency can significantly affect economic growth and adjust the positive relationship between human capital and economic growth. Therefore, to increase economic growth, we should consider both the basic elements and social embedded factors.