A Research On Effects Of Explicit Knowledge And Innovation On Economic Growth Based On The Perspective Of Spatial Heterogeneity

In the traditional theory of regional economics,an widely acknowledged point is that the explicit knowledge and innovation activities play an important role in economic growth, knowledge base does make a contribution to promoting the innovation. Traditionally, however, researches on regional economic growth often take evasive attitude on the spatial factors of economic, which leads to an unscientific study on spatial relationship of explicit knowledge, innovation and economic growth. In addition, in traditional thinking, people tend to acknowledge that regions with preponderant knowledge endowment always shows advantages on the innovation performance, and then have advantages in contribution to economic growth. Few literatures based on this perspective analyze whether there is a relationship of spatial fitting between the contributions to economic growth derived from explicit knowledge and innovation at the regional level.This study is in this context to carry out specific analysis and research. First of all, it defines the connotation of explicit knowledge and innovation at the theoretical level, and the spatial logic of explicit knowledge and innovation has been examined based on the decomposition of explicit knowledge, innovation source analysis and the separation of explicit knowledge and innovation which gives a preliminary analysis from theory analysis, logical deduction and empirical test on space fitting relation between explicit knowledge and innovation. Then, it makes a scientific and reasonable selection of variables, determines the metrics, takes the space factors into the framework thinking of the model, and builds the explicit knowledge, innovation and regional economic growth model. On this basis, the spatial econometric analysis method has been applied to accomplish the empirical analysis and hypothesis testing, explore the relationship between explicit knowledge, innovation and regional economic growth at the spatial level. It shows that regional economy indeed displays its spatial dependence, and regional explicit knowledge, innovation, social capital, FDI and government intervention, they all show a positive contribution on regional economic growth.Finally, applying panel quantile regression analysis method, setting up quantiles, spatial heterogeneity between the contributions derived from explicit knowledge and innovation has been examined by the comparison of the distribution of the elasticity given by explicit knowledge and innovation on regional economy under different quantiles. A further exploration has been taken on the movements of the explicit knowledge elastic curve and the innovation elastic curve by a more detailed and closer setting of quantiles. A comparison of the movements and shape of the explicit knowledge elastic curve and the innovation elastic curve, has been made to take an in-depth analysis of the spatial heterogeneity, and test the spatial fitting between the contribution to regional economic growth derived from innovation and regional economic development level. It shows that significant spatial heterogeneity in the contribution of economic growth between explicit knowledge and innovation, explicit knowledge elastic exhibited spatially more selective and concentrated, while innovation elastic is distributed more evenly and plays an opposite trend with explicit knowledge elasticity. In particular, innovation is expected to generate relatively higher growth in regions with poorer economy performance. According to the result of the relationship between explicit knowledge, innovation and economic growth and spatial heterogeneity analysis, it targeted puts forward the corresponding policy suggestions related to regional knowledge innovation management and regional economic growth, which aims at guiding a better benign relationship between explicit knowledge, innovation, and regional economic and boosting a higher regional economic growth.