| The improvement of development quality of the logistics industry(LDQ)is a vital part of achieving high-quality economic development in China.It is a major epochal proposition for China’s logistics industry to break through the constraints of resources and environment and maintain the quality improvement under the background of ecology-oriented high-quality development.With the deepening of China’s strategies including double-carbon targets and national energy security,it is extremely urgent to explain,estimate and improve the LDQ under the constraints of resources and environment.According to the above analysis,this paper starts from the current situation of resources and environment constraints facing China’s logistics industry,first constructs the evaluation models of the LDQ under the resources and environment constraints in a narrow and broad perspective,respectively;second explores the spatial characteristics of the LDQ in China;third reveals the independent and synergistic influences of lifting factor of the LDQ,and fourth puts forward policy suggestions for improving the LDQ by applying the research conclusions.The purpose of this paper is to provide a scientific basis and theoretical reference for the policy formulation and development plan in terms of the enhancement of the LDQ under the constraints of resources and environment.The main research contents and conclusions are as follows:(1)The calculation and analysis of energy consumption,carbon and pollutants emissions of the logistics industry in China.The energy consumption,CO2,SO2,NOX,PM2.5,PM10emissions and their intensities in the logistics industry is calculated and analyzed,respectively,and the relationship among economic growth,energy consumption,carbon and pollutants in the logistics industry is discussed by using panel Granger causality test.The results demonstrate that the energy consumption,carbon,and pollutants emissions of the logistics industry is all increasing steadily,and the situation of pollutants emission reduction is more severe than that of carbon emission reduction.There is a short-term and long-term two-way causal relationship between the two variables of economic growth,energy consumption,carbon,and pollutants.(2)The measurement and analysis of the LDQ in China under resources and environmental constraints.The logistics ecological efficiency model based on Super-SBM-Undersirable and the PSVR model based on Pressure-State-Value-Response are constructed respectively to quantitatively measure the LDQ in a narrow and broad sense of 30 provinces in China from 2005to 2020,and their sub-dimensional characteristics are analyzed from the national,regional,and provincial levels.The results indicate that the overall LDQ in China is on the rise but significant spatial differences;the LDQ in a narrow sense displays a decreasing gradient pattern of the"Eastern-Central-Northeastern-Western",while the LDQ in a broad sense displays a decreasing gradient pattern of the"Eastern-Western-Central-Northeastern";the LDQ of Shanghai is the highest,followed by Tianjin,and the LDQ of Yunnan is the lowest.(3)Spatial characteristics of the LDQ in China under the constraints of resources and environment.Based on Theil index,βconvergence model,standard deviation ellipse and Moran index method,the spatial characteristics of the LDQ in China are depicted from the perspectives of spatial difference,spatial convergence,spatial direction and spatial correlation,respectively.The results suggest that intra-regional differences are the main source of spatial differences of the LDQ;at the national level,the LDQ will tend to be stable,and it will take about 20 years in a narrow sense to reach its stable level while 45 years in a narrow sense;a spatial directionality distributed from the northeast to southwest is observed,its north-south direction has a further strengthening trend,and the center of gravity is in a consistent movement to the east;the LDQ has increasingly strong spatial positive correlation,and high-high(H-H)and low-low(L-L)clusters are its main local agglomeration types.(4)Analysis on improving the LDQ in China under the constraints of resources and environment.Based on the spatial econometric model and the fsQCA method,the independent impact of a single factor and the configuration path effect of multi-factor collaboration on the LDQ is explored,respectively.The results show that there is a significant positive spatial spillover effect in improving the LDQ.The spatial spillover effect is strengthened by the spatial connection of information,and the spatial spillover effect of the LDQ in the narrow sense is stronger.The independent influence of energy structure,economic development and technological innovation on the LDQ is the most prominent,with the strong promotion area of energy structure gradually evolving from"weak in the north and strong in the south"to"weak in the northwest,southwest and strong in the southeast".At present,there are three paths to improve the LDQ,namely,an economic-open path with economic development and opening up as the main core conditions,a clean-technical path with energy structure and technological innovation as the core conditions and environmental regulation as the main auxiliary conditions,and an all-round development path with industrial structure,environmental regulation and urbanization as the main core conditions.There are three innovations in this paper:(1)Pollutants including SO2,NOx,PM2.5,and PM10generated by the logistics industry are incorporated into its environmental impact,which enriches the connotation of resource and environmental constraints of the logistics industry.(2)Based on the value mechanism of logistics advanced development theory,the environmental PSR model(Pressure-State-Response)is extended to PSVR model,and the theoretical framework for evaluating the quality of logistics industry development under resource and environment constraints is constructed from a broad perspective.(3)Considering that informatization is the fundamental symbol to distinguish modern logistics from traditional logistics,an information spatial weight matrix conforming to the spatial correlation characteristics of modern logistics industry is constructed. |