ArticleHeliyon2023
Research on eco-efficiency measurement, spatiotemporal analysis and prosperity warning based on the three-stage chain network SBM and MS-DDFM.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
2 authors.
Funding
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Abstract
This paper studies the changes of ecological efficiency (eco-efficiency) boom in China. Firstly, based on the improvement of the three-stage slack-based model (SBM), a hybrid chain network model is used to clarify the internal development structure of eco-efficiency. Then, Taking eco-efficiency as the benchmark indicator, the boom warning indicators are screened by comprehensively considering the correlation analysis of time difference, Kullback-Leibler (K-L) information and peak valley correspondence method. The Markov regime switching dynamic dual factor model (MS-DDFM) is used to fit the leading indicators and consistent indicators in the field of eco-efficiency prosperity. The empirical results show that the sub-efficiencies of the three-stage are not consistent, and most of the years with high efficiency in the second stage. In addition, there are differences and fluctuations of the eco-efficiency in different regions. The value of the eco-efficiency in eastern region is larger than average value of China, while the result is just the opposite for the central and western regions. In general, the eco-efficiency of China is in a prosperous state of operation.
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