Research On The Impact Of Manufacturing Agglomeration On Green Innovation Efficiency

At present,China’s economy has shifted from high-speed growth to high-quality development.The problems of environmental pollution,resource constraints,and lack of stamina caused by extensive production need to be solved urgently.Green innovation,as a new form of innovation that can not only drive economic growth,but also avoid environmental damage,It is expected to be the key to breaking through these bottlenecks.Green innovation efficiency is a comprehensive indicator for evaluating green innovation capabilities.It improves the traditional innovation efficiency evaluation system,incorporates undesired outputs such as pollutant emissions,and integrates green innovation efficiency based on multiple dimensions such as technology,energy,and environmental protection measure.Manufacturing is a key force driving the growth of the real economy,but it is also the industry with the largest energy consumption in China’s economic development.It may have a natural impact on the efficiency of green innovation.With the development of regional economic integration,the spatial agglomeration of China’s manufacturing industry has become more frequent.At the same time,the proposal of the green development strategy has gradually eliminated the original manufacturing development model that only relied on factor input and scale expansion.In this context,manufacturing agglomeration not only provides impetus for regional economic development,but also provides possibilities for green technology advancement and clean energy development.Studying the impact of manufacturing agglomeration on the efficiency of green innovation is of great significance for cities to choose an appropriate level of manufacturing agglomeration and promote green innovation.In view of this,this paper chooses 2008 to 2019 as the observation period,and selects 282 cities at the prefecture level and above in China as the observation objects.First,the entropy method was used to calculate the degree of manufacturing agglomeration in prefecture-level cities,and Max Dea software was used to calculate the green innovation efficiency of 282 prefecture-level cities in China based on the super-efficiency SBM model.On this basis,the basic status and evolution trend of China’s manufacturing agglomeration and green innovation efficiency are analyzed.Second,we use exploratory spatial data to examine the spatial agglomeration characteristics of green innovation efficiency at the urban level in my country.Furthermore,we empirically test the relationship between manufacturing agglomeration and urban green innovation efficiency and the spatial spillover effect through the spatial Durbin model.At the same time,considering regional heterogeneity,there are significant differences in economic development,resource endowment,and population size among regions.This paper conducts a heterogeneity test.Finally,the theoretical analysis and empirical research are combined to put forward countermeasures and suggestions for the improvement of green innovation efficiency in my country’s manufacturing industry agglomeration.The main findings are as follows:(1)Green innovation efficiency and Manufacturing agglomeration shows significant positive spatial correlation and agglomeration characteristics in neighboring regions.(2)The efficiency of urban green innovation is not only affected by the agglomeration of local manufacturing industries,but also by the agglomeration of manufacturing industries in surrounding cities,and there is a spatial spillover effect.type characteristics.(3)Due to the obvious differences in multiple dimensions such as regional division,resource endowment and population size,the effect and nonlinear characteristics of the degree of manufacturing agglomeration on the efficiency of green innovation show heterogeneity in different backgrounds.Based on the above research conclusions,this paper provides policy suggestions from the aspects of adhering to the green innovation strategy,effectively planning urban resources;reasonably controlling the scale of agglomeration,and actively exerting spillover effects;based on urban development differences,and formulating policies according to local conditions.