A Dynamic Measurement Of Innovation Efficiency In Different Provinces And Industries And Their Influencing Factors Analysis In China

Innovation and the resulting productivity growth have always been the core determinants of economic growth.In the context of China’s economic growth entering a new normal,adhering to the innovation-driven development strategy is the key to economic transformation.However,if there are significant differences in innovation efficiency,and there is a big waste of innovation resources,is it still able to drive economic growth through innovation? At the same time,the low innovation efficiency will inevitably have a negative impact on the in-depth implementation of China’s innovation-driven development strategy.Therefore,it is undoubtedly of great theoretical and practical significance to clarify the gap between provincial and industrial innovation efficiency in China.Firstly,this dissertation draws lessons from the basic methods of productivity measurement,summarizes the general methods of measuring innovation efficiency:Solow remainder,index method,frontier production function method(data envelopment analysis,stochastic frontier analysis),and compares the advantages and disadvantages of various methods and their applicability.Then this study attempts to sort out the selection of the input variables and output variables of the measurement of innovation efficiency based on the existing statistical data,and to analyze the specific construction process and applicability of each index.Finally,it constructs an index system to measure innovation efficiency.The fourth chapter of this thesis uses China’s provincial-level R&D investment indicators and R&D output indicators to measure the innovation efficiency at the provincial level in China,and analyzes its dynamic evolution trend,it divides innovation efficiency at the provincial level into eastern,central and western regions and eight major economic regions,and compares innovation efficiency of each region.The results show that there is still much room to improve innovation efficiency at the provincial level in China.At the same time,the high efficiency of innovation is always in the eastern region and the eastern coastal region.This indicates that the level of innovation efficiency and the level of economic development are significantly correlated.At the same time,there is still a significant imbalance of innovation efficiency between provinces in China,which also shows that the government should adopt relevant policies to reduce the imbalance of innovation efficiency among provinces.The fifth chapter uses the industry—level data of China under the ISIC industry classification standard and combines the industry —level data of OECD countries to measure the innovation efficiency of China and OECD countries at the industry level.The conclusion shows that the innovation efficiency at the industry level in China,especially the innovation efficiency represented by patent output,is low.China still has a lot of room to improve its innovation efficiency.The industries with higher innovation efficiency are R&D and technology-intensive electronic information technology and pharmaceutical manufacturing.At the same time,the innovation efficiency of China’s industry level also shows great imbalance.The sixth chapter uses the data of provincial level in China to analyze the influencing factors of innovation efficiency at provincial level by using stochastic frontier analysis method.The conclusions show that in addition to innovative investment and innovative personnel input can significantly improve innovation efficiency,international technology introduction and human capital are also the key factors to promote innovation efficiency.The seventh chapter continues to analyze the influencing factors of innovation efficiency by constructing the three-dimensional panel data of state-industry-time.Through the analysis of national characteristic variables and industrial characteristic variables,this dissertation concludes that Internet development and human capital are the main factors affecting the efficiency of innovation.Other factors such as the proportion of government R&D expenditure at the national level and the source of government funds have no significant impact on innovation efficiency,while the strength of R&D personnel and the strength of R&D capital at the industry level have a significant negative impact on the efficiency of total factor innovation.This does not mean that the higher the intensity of R&D,the higher the efficiency of innovation.Finally,through the relevant conclusions of this dissertation,this dissertation puts forward some relevant policy recommendations.It is pointed out that China should continue to deeply implement the strategy of innovation-driven development,increase investment in R&D and innovation,pay attention to the improvement of innovation efficiency and narrow the imbalance between regions of innovation resources and industries.Through the effective application of human capital and international technology import,transforming China from an innovative power to an innovative power.