Technological Progress Bias And Green-low-carbon Development Of Resource-based Cities

The Fifth Plenary Session of the 19 th CPC Central Committee emphasized that to promote high-quality economic development and build a new development pattern in the new era requires the coordination,unity and mutual promotion of economic and social development and ecological and environmental protection,and technological progress to drive urban green and low-carbon development.Resource-based cities,as important functional cities in China,are the power source of my country’s economic growth.How to achieve green and low-carbon development while ensuring national energy security is particularly important.Considering the different development stages of resource-based cities in my country,the differences in resource endowment and geographical location,etc.,the technological progress of resource-based cities will produce different factor biases,and this difference may have different impacts on the green and low-carbon development of resource-based cities.How to combine the resource-based city’s own factor conditions and future development needs to explore a suitable technological progress path for resource-based cities,guide the technological progress of resourcebased cities to favor specific production factors,and match the trend of technological progress with the green and low-carbon development needs of resource-based cities,It is the key to realize the green and low-carbon development of resource-based cities and achieve the "dual carbon" goal.At present,there is no research to identify the technological progress bias of resource-based cities,and there is also a lack of effective measurement methods for the green and low-carbon development of resource-based cities.Effective technology path selection problem.Therefore,taking 114 resource-based cities as the research object,to carry out research on related topics,the main conclusions are as follows:(1)The technological progress of resource-based cities is biased and heterogeneous among different cities.This thesis takes energy E,capital K,and labor L as the input of production factors of resource-based cities.Based on the CES nested production function and the supply-side system method,a KLE three-factor resource-based city technology progress bias calculation model is constructed,and 114 resource-based cities are calculated.From 1999 to 2018,the city’s factor-enhanced technological progress index and the degree of technological progress bias were used to discriminate the technological progress bias of each resource-based city: 75 resource-based cities showed increased labor factor(saving)and capital and energy use bias in technological progress;20Technological progress in resource-based cities shows a tendency to enhance(use)labor factors,use capital factors,and save energy factors;10 cities have a tendency to enhance(use)energy factors,save labor,and use capital factors for technological progress;9resource-based cities have technological progress It shows the enhancement(saving)of energy factors and the use of capital and labor.(2)The green and low-carbon development index of 114 resource-based cities from2003 to 2018 was calculated.This thesis constructs an evaluation index system of green and low-carbon development of resource-based cities including 14 indicators in three aspects: economic development,ecological environment and social development.Based on the AHP and VIKOR methods,a green and low-carbon development evaluation model is established,and the green and low-carbon development of resource-based cities is calculated.The low-carbon development index reveals the temporal and spatial evolution of the green and low-carbon development of resource-based cities.The green and lowcarbon development index of resource-based cities is on the rise.In the kernel density estimation,the green and low-carbon development index values corresponding to the main peak and peak value are ranked as follows: regeneration > growth > mature >decline;resource-based cities that use energy elements >Energy factor-saving type;Energy-enhancing type>Labor-enhancing type;Resource-based cities have significant spatial clustering of green and low-carbon development.Nearly 76.31% of resourcebased cities have a partially positive trend in their green and low-carbon development index,and 23.69% of them are Local negative correlation trend.(3)The technical progress bias of resource-based cities has different effects on green and low-carbon development.This thesis constructs a dynamic panel data model and empirically analyzes the impact of resource-based cities’ technological progress bias on green and low-carbon development.On the whole,capital and labor-oriented technological progress in resource-based cities are positively correlated with green and low-carbon development;there is a "U-shaped" nonlinear relationship between energyoriented technological progress and green and low-carbon development.Continuing to improve the level of energy-oriented technological progress can promote green and lowcarbon development.Carbon development,influence effect: capital favors technological progress> labor favors technological progress> energy favors technological progress.(4)There are differences in the bias of technological progress from different sources,and their effects on green and low-carbon development are different.By constructing a trans-logarithmic cost function model,this thesis measures the factor-biased technological progress of technological progress from different sources,and establishes an intermediary model with factor endowment structure as an intermediary variable.The impact of low-carbon development.The results show that the indirect effect of resourcebased factor endowment structure is significant.Independent innovation RD sources and import trade IMP sources of capital are biased towards technological progress,RD sources of energy are biased towards technological progress,RD sources,foreign direct investment FDI sources and export trade EXP sources of labor are biased towards technological progress.It has a positive role in promoting the green and low-carbon development of resource-based cities.FDI-sourced capital is biased towards technological progress and energy is biased towards technological progress,IMP-sourced energy is biased towards technological progress and labor is biased towards technological progress,EXP-sourced capital is biased towards technological progress and energy is biased towards technological progress,all of which are not conducive to promoting the green and low-carbon development of resource-based cities.Finally,the main innovation points are:(1)Constructed a KLE three-factor resource-based city technology progress bias measurement model based on CES nested production function and supply-side system method,calculated the resource-based city factor-enhanced technology progress index and the degree of technological progress bias,and discriminated resource-based cities.The technological progress bias of resource-based cities is given,and the technological progress bias matrix of resource-based cities is given.(2)Constructed an evaluation index system of green and low-carbon development of resource-based cities including economic development,ecological environment and social development;established an evaluation model of green and low-carbon development of resource-based cities based on the improved AHP-VIKOR method,and calculated The green and low-carbon development index of resource-based cities reveals the temporal and spatial evolution law of the green and low-carbon development index of resource-based cities.(3)Constructing a dynamic panel data model to empirically analyze the impact of resource-based cities’ technological progress bias on green and low-carbon development,expanding the research paradigm that technological progress affects urban green and lowcarbon development,and promoting green and low-carbon development for resourcebased cities through technological progress.Carbon development provides a mechanistic explanation.(4)Established a translog cost function model,identified the bias of technological progress from different sources,and realized the measurement of technological progress from different sources at the city level;established a mediation effect model to empirically analyze the effect of different path source factors on technological progress.The impact of green and low-carbon development points out the direction for resourcebased cities to choose a technical path for green and low-carbon development.