Assessment On Regional Carbon Dioxide Mitigation Mitigation Efficiency Assessment Of Bicycle-sharing Industry In China

Climate change is one of the most serious environmental issues facing the world today.As one of the major greenhouse gases,carbon dioxide is closely related to climate change.The transportation sector,as a key carbon emission reduction area,is particularly significant in terms of its emission reduction benefits.With the promotion of low-carbon travel,the urban bike-sharing industry in China,a novel and environmentally friendly travel sharing economy,has a crucial future in promoting carbon emission reduction,and its emergence comes with a green and low-carbon concept that seems to greatly reduce the pressure to reduce emissions.However,the real potential for carbon reduction is overshadowed by the reality of regional differences and associated environmental and social issues,making an objective evaluation of this issue urgent.In this study,we construct a regional shared bicycle carbon reduction performance evaluation system and evaluation model,based on the SE-SBM model that takes into account the undesired output,combined with the Malmquist index to measure the carbon reduction efficiency.And we found the carbon reduction positioning of different urban regions through3 D matrix analysis in connection with the quantitative carbon reduction results.And the sensitive indicators of input and output and the key factors affecting the carbon reduction efficiency of China’s regional bicycle sharing industry were found.(1)The results show that:(1)the overall carbon reduction in bike-sharing regions grows steadily,from west to east,the carbon reduction decreases gradually,and the growth rate of low emission reduction regions is usually faster.(2)The carbon reduction efficiency of all four major categories of cities shows a continuous W-shaped fluctuation of decreasing and then increasing,and only 10 cities have higher relative efficiency,with only 13.89% of DMU at the best production frontier.(3)The improvement of efficiency is directly related to the change of government attitude and population size.(4)The overall carbon reduction efficiency value has reached 0.745,up 19.27% after 2018,which is a significant increase compared to 2017,and the carbon reduction potential of the shared bicycle industry in Type I and Type II large cities is relatively higher than that of mega cities and megacities.(5)The carbon emission reduction performance of China’s regional bike-sharing industry shows a regional difference pattern of stepwise increase in the west-middle east,with obvious spatial aggregation characteristics and obvious spatial and temporal inertia in the evolutionary characteristics of different types of cities.(6)The overall three-dimensional matrix analysis obeys a normal distribution,and the corresponding carbon reduction positions are different for different types of urban clusters.(7)The sensitivity analysis shows that the output is more sensitive than the input,and the total annual carbon reduction per capita is the most sensitive element,in addition,the total number of O&M workers reaches 0.2491,which is also the most sensitive among the input variables.(8)Tobit regression verifies that economic scale,industrial structure,government governance,and urban construction are significantly and positively related to regional bicycle sharing carbon reduction efficiency,and that technology level and urban population have significant inhibitory effects on regional urban bicycle sharing carbon reduction efficiency.In response to the above results,this paper proposes countermeasures and suggestions for the carbon reduction performance of China’s regional bike-sharing industry from the perspectives of carbon reduction structural layout,policy intervention and regulation,urban cluster spillover effects,sustainable green carbon reduction development system,R&D and population layout,expecting to discover a truly scientific and green development path.The performance evaluation not only provides targeted references for improving regional carbon emission reduction,but also facilitates the selection of optimal strategies and policy recommendations to promote the real low-carbon development of bike-sharing.