Abstract
To solve the problem of fuzziness and randomness in regional logistics decarbonization evaluation and accurately assess regional logistics decarbonization development, an evaluation model of regional logistics decarbonization development is established. First, the evaluation index of regional logistics decarbonization development is constructed from three dimensions: low-carbon logistics environment support, low-carbon logistics strength and low-carbon logistics potential. Second, the evaluation indexes are used as cloud model variables, and the cloud numerical characteristic values and cloud affiliation degrees are determined according to the cloud model theory. The entropy weight method is used to determine the index weights, and the comprehensive determination degree of the research object affiliated to the logistics decarbonization level is calculated comprehensively. Finally, Beijing-Tianjin-Hebei region is used as an example for empirical evidence, analyzing the development logistics decarbonization and its and temporal variability in Beijing, Tianjin and Hebei provinces and cities. The results of the study show that the development logistics decarbonization in Beijing, Tianjin and Hebei Province has been improved to different degrees during 2013–2019, but the development is uneven. Developing to 2019, the three provinces and cities of Beijing, Tianjin and Hebei still have significant differences in terms of economic environment, logistics industry scale, logistics industry inputs and outputs, and technical support.
Highlights
China has entered a new stage of high-quality development; the people’s demand for ecological environment is getting higher and higher, and the importance and urgency of promoting green development has become more and more prominent
According to the quantitative nature of the action guide and the availability of data, following the principles of systematism, scientificity and application of the selection of indicators, this paper summarizes three first-level indicators to evaluate the level of regional logistics decarbonization
The development of logistics decarbonization in Beijing develops from average level to high-level, that in Tianjin develops from lower level to average level, and that in Hebei develops from low-level to average level; relatively speaking, the development in Tianjin is slow, which is not in line with its economic level
Summary
China has entered a new stage of high-quality development; the people’s demand for ecological environment is getting higher and higher, and the importance and urgency of promoting green development has become more and more prominent. The research of low-carbon logistics focuses on four aspects: carbon emission accounting, carbon emission driver identification, low-carbon logistics capability measurement and low-carbon logistics development strategy. Ma YY used data envelopment analysis to study the total factor productivity of China’s logistics industry under low-carbon constraints [21]. Yu. Q analyzed the logistics efficiency and its influencing factors in 30 provinces and cities, as well as the eastern, central and western regions of China based on the DEA-Tobit two-stage method [24]. Song Lina used a combined model of principal component analysis and data envelopment analysis to evaluate the regional low-carbon logistics performance of provinces along the Silk Road Economic Belt in China [25]. Wang X, taking Anhui Province as an example, explored the mechanism of the low-carbon development of regional logistics using the theoretical analysis framework of “development dynamics-measurement criteria-acting subject” [26]. To solve the fuzzy and stochastic problems in the process of low carbonization evaluation of regional logistics, the fuzzy and stochastic properties were converted into a definite value by the cloud generator, which broke the limitation of qualitative and quantitative research and made the evaluation more hierarchical [27]
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