ArticleInternational journal of environmental research and public health2019
Research on the Industrial Energy Eco-Efficiency Evolution Characteristics of the Yangtze River Economic Belt in the Temporal and Spatial Dimension, China.
Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- A Two-Level, Multidimensional Framework for Understanding and Treating Clinician Fatigue.Health care analysis : HCA : journal of health philosophy and policy · 2026Article
- Study on function evolution and coupling coordination degree of "Three Lives Space" in the upper reaches of Yangtze River in China.Environmental science and pollution research international · 2024Article
- The coupling coordination relationship between sports industry agglomeration and economic resilience in the Yangtze River Delta region.PloS one · 2024Article
- Spatial correlation network structure of energy-environment efficiency and its driving factors: a case study of the Yangtze River Delta Urban Agglomeration.Scientific reports · 2023Article
- Non-human and human service efficiency of long-term care facilities in China.Frontiers in public health · 2023Article
- Yangtze River Economic Belt environmental remediation efficiency based on an input-output optimization analysis.Environmental science and pollution research international · 2021Article
- Impact of Regional Green Development Strategy on Environmental Total Factor Productivity: Evidence from the Yangtze River Economic Belt, China.International journal of environmental research and public health · 2021Article
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5 authors.
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Abstract
Based on the panel data of the 11 provinces along the Yangtze River Economic Belt from 1997 to 2015, the super slack-based model (Super-SBM) model is adopted to calculate the provincial-level eco-efficiency of industrial energy. While bringing in time series analysis and spatial differentiation feature analysis, the traditional and spatial Markov probability transition matrix is established. This study delves into the spatial-temporal dynamic evolution traits of the eco-efficiency of industrial energy along the Yangtze River Economic Belt. According to the results: the eco-efficiency of industrial energy of the Yangtze River Economic Belt manifests "single crest" evolution and distribution traits from left to right and top to bottom, indicating that the eco-efficiency of industrial energy of the Yangtze River Economic Belt is steadily improving gradually. However, the overall level is still low and there is still ample room for the improvement of the eco-efficiency of industrial energy. Furthermore, the eco-efficiency of industrial energy along the Yangtze River Economic Belt is elevating. The geographical spatial pattern plays a pivotal role in the spatial and temporal evolution of eco-efficiency of industrial energy, and the spatial agglomeration traits are noticeable.
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