Integrated manufacturing of REciclable multi-material COmposites for the TRANSport sector
Ecological Efficiency Evaluation, Spatial Difference, and Trend Analysis of Logistics Industry and Manufacturing Industry Linkage in the Northeast Old Industrial Base
The ecological efficiency of industrial linkage considering unexpected output is an important indicator to measure the coordinated development of industrial linkage, resources, and the environment. It is an important basis for realizing the sustainable development of industry linkage. Taking the composite index of carbon emissions of the logistics industry and pollution emissions of the manufacturing industry as the unexpected output, we used the unexpected SBM model to evaluate the ecological efficiency of industrial linkage between the logistics industry and the manufacturing industry in Northeast China from 2011 to 2019, and used the spatial autocorrelation analysis method to analyze the spatial differences in industrial linkage efficiency. The results show that (1) considering the unexpected output, in Northeast China, the ecological efficiency cannot reach a high level of linkage development stage. (2) The results of the spatial correlation show that there are spatial differences between H-H agglomeration and L-L agglomeration in the linkage ecological efficiency of the two industries, and the spatial agglomeration attribute is relatively stable. (3) The analysis results of spatial agglomeration characteristics show that the spatial agglomeration of the two industries has a spatial evolution process from the southern coastal area to the central region. (4) Spatial trend analysis shows that in Northeast China, the western region is slightly higher than the eastern region, while the southern region is higher than the northern region. (5) From the development trend of linkage ecological efficiency, the linkage ecological efficiency of the study area will be improved in the future, but in the short term, the linkage ecological development level is not high and may still be at the primary linkage level.
» Author: Chong Wu
» Reference: doi: 10.3390/su141912724
» Publication Date: 06/10/2022
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement Nº 768737
