Research On The Performance Of Scientific And Technological Collaborative Innovation In Coal Resource Enrichment Areas

Coal is one of the main basic energy sources in China,occupying a large proportion of resources and having an indispensable position.The provinces with rich coal resources are highly dependent on the coal industry.Many years of high-intensity mining have caused serious ecological damage,difficult sustainable development,and economic development is vulnerable to resource shortages and shortage of funds,which is in urgent need of rapid transformation and development.With the emergence of major scientific and technological achievements,technological innovation has gradually become a key driving factor in the economic transformation and development,and a new kinetic energy for economic rise.As a new paradigm of technological innovation,science and technology collaborative innovation,with its huge innovation network and the interaction of multiple innovation entities,realizes the maximum integration and utilization of innovation resources.The “One Belt and One Road” initiative,the “Beijing-Tianjin-Hebei Coordinated Development” and the “Guangdong-Hong Kong-Macau Greater Bay Area”,which are being vigorously implemented by the state,are all through the idea of scientific and technological synergy and innovation,and are regarded as an important reliance on rapid transformation and development.Therefore,the provinces with rich coal resources need to actively use technology and collaborative innovation to promote their transition from a single coal resource-based economy to a diversified economy.This paper will mainly quantify the synergistic innovation performance of science and technology in coal-rich provinces,and further identify relevant factors that affect performance,so as to propose countermeasures.The main research content of this paper is as follows:(1)Using location entropy index and Nelson method,Shanxi,Inner Mongolia,Guizhou,Shaanxi and Ningxia are defined as coal resource enrichment areas and taken as research objects;(2)In-depth mining of synergistic input-output indicators and building a relatively perfect performance evaluation index system of scientific and technological synergistic innovation;(3)The super-efficiency DEA model is used to measure and analyze the synergy innovation performance of coal resource enrichment area,and combined with the projection principle of DEA,the input redundancy and output shortage of each province are analyzed;(4)Constructing Tobit Econometrics Model and Identifying the Factors Affecting the Synergistic Innovation Performance of Coal Resource Enrichment Areas;(5)Suggestions based on the previous calculations and analysis.Through research,this paper has the following conclusions:(1)From 2010 to 2016,the average efficiency of science and technology collaborative innovation in five coal resources provinces and regions was Ningxia,Guizhou,Shaanxi,Inner Mongolia and Shanxi;(2)Through the projection analysis of decision-making units whose efficiency of scientific and technological collaborative innovation is not as effective as DEA,it is found that there is a certain amount of input redundancy in all five provinces and regions,and the insufficient output mainly concentrates on the number of scientific and technological papers,the number of scientific and technological achievements and the turnover of technological market;(3)Through Tobit regression analysis,it is found that the degree of talent training,industrial structure,openness of science and technology and the environment of scientific and technological innovation are significantly positively correlated with the performance of scientific and technological collaborative innovation.Among them,the degree of talent training has the highest degree of influence,and the level of economic development and There is no significant correlation between the synergistic innovation performance of science and technology,and the coal resource abundance and the synergistic innovation performance of science and technology are negatively correlated at the level of 5%.The innovation of this paper lies in: Improving the performance evaluation index system of science and technology collaborative innovation,and match the influencing factors of science and technology synergy innovation characteristics in coal resource enrichment areas,so that the research results will be more meaningful to improve the synergy innovation performance of coal resource enrichment areas.