Journal ArticleDOI
The impact of cross-region industrial structure optimization on economy, carbon emissions and energy consumption: A case of the Yangtze River Delta
Bing Zhu,Tinglong Zhang +1 more
TLDR
A cross-regional multi-objective planning model combined the data envelopment analysis method and the results show that each province can realize the reasonable distribution of industries through the industrial transfer, and complete the phased goals in the 13th Five-Year Plan.About:
This article is published in Science of The Total Environment.The article was published on 2021-03-04. It has received 67 citations till now. The article focuses on the topics: Energy consumption & Data envelopment analysis.read more
Citations
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The emerging driving force of inclusive green growth: Does digital economy agglomeration work?
TL;DR: Wang et al. as discussed by the authors analyzed the influence of digital economy agglomeration on inclusive green growth and its transmission mechanism in China, where the slacks-based measure of directional distance functions (SBM-DDF) model was integrated with the global Malmquist-Luenberger index (GML) to calculate the city level for 282 cities in China during 2004-2019.
Journal ArticleDOI
Disaggregating the environmental effects of renewable and non-renewable energy consumption in South Africa: fresh evidence from the novel dynamic ARDL simulations approach
Journal ArticleDOI
Evaluating urban agglomeration resilience to disaster in the Yangtze Delta city group in China
TL;DR: In this article, a mixed-methods approach to urban agglomeration resilience estimation is proposed, where particle swarm optimization algorithm is used to optimize the back propagation neural network in order to evaluate the resilience of subsystems, including economy, society, environment, and science and technology resilience subsystems.
Journal ArticleDOI
Evaluating urban agglomeration resilience to disaster in the Yangtze Delta city group in China
TL;DR: In this paper , a mixed-methods approach to urban agglomeration resilience estimation is proposed, where particle swarm optimization algorithm is used to optimize the back propagation neural network in order to evaluate the resilience of subsystems, including economy, society, environment, and science and technology resilience subsystems.
References
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Journal ArticleDOI
A Scaling Method for Priorities in Hierarchical Structures
TL;DR: A method of scaling ratios using the principal eigenvector of a positive pairwise comparison matrix is investigated, showing that λmax = n is a necessary and sufficient condition for consistency.
Journal ArticleDOI
Economic Growth and the Environment
Gene M. Grossman,Alan B. Krueger +1 more
TL;DR: The authors examined the relationship between per capita income and various environmental indicators and found no evidence that environmental quality deteriorates steadily with economic growth, rather, for most indicators, economic growth brings an initial phase of deterioration followed by a subsequent phase of improvement.
Posted Content
Economic Growth and the Environment
Gene M. Grossman,Alan B. Krueger +1 more
TL;DR: This article examined the relationship between various environmental indicators and the level of a country's per capita income and found no evidence that environmental quality deteriorates steadily with economic growth, rather, for most indicators, economic growth brings an initial phase of deterioration followed by a subsequent phase of improvement.
Journal ArticleDOI
A procedure for ranking efficient units in data envelopment analysis
TL;DR: In this paper, a modified version of DEA based upon comparison of efficient DMUs relative to a reference technology spanned by all other units is developed, which provides a framework for ranking efficient units and facilitates comparison with rankings based on parametric methods.
Book ChapterDOI
Methods for Multiple Attribute Decision Making
Ching-Lai Hwang,Kwangsun Yoon +1 more
TL;DR: There are some classical decision rules such as dominance, maximin and maximum which are still fit for the MADM environment but they do not require the DM’s preference information, and accordingly yield the objective (vs. subjective) solution.