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How to effectively achieve air pollutant reduction and carbon mitigation in China’s industrial sector? A study based on decomposition analysis and scenario simulation
Reducing air pollutant and carbon emissions in the industrial sector is crucial for the ecological civilization construction in China. In this study, we first employ the generalized Divisia index method to ana...
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Article
Evaluating the effect of low-carbon city pilot policy on urban PM2.5: evidence from a quasi-natural experiment in China
Evaluating the effect of low-carbon city pilot (LCCP) policy is of vital importance for urban ecological construction. This study aims to deeply explore the effect of LCCP policy on urban air pollutant PM2.5. Usi...
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Article
Assessing the impact of reverse technology spillover of outward foreign direct investment on energy efficiency
The existing literatures mainly focus on the impact of foreign direct investment or technological progress on energy efficiency. However, the research on the impact of reverse technology spillover of outward f...
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Article
Synergistic effect of air pollutant abatement on CO2 reduction in the industrial sector: evidence from China
The synergistic abatement of air pollutants and CO2 emission in the industrial sector is crucial for China to achieve its energy conservation and emission reduction goals. However, none of the literature has cond...
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Article
Energy conservation path of China iron and steel industry driven by relative policies
As one of largest energy consumption sector, China iron and steel (I&S) industry is facing with tremendous pressure on energy conservation and emission reduction. However, a systematic roadmap and practicable ...
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Article
Intelligent integrated optimization of mining and ore-dressing grades in metal mines
An intelligent integrated method is proposed for optimizing the head grade and dressing grade in the mining and ore-dressing management of metal mines, beginning with the establishment of a nonlinear constrain...
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Article
An Intelligent Computing Approach to Evaluating the Contribution Rate of Talent on Economic Growth
We set out in this study to develop an intelligent computing method for the evaluation of the ‘economic contribution rate of talent’ (ECRT). We begin by constructing an indicator system for comprehensive evalu...
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Article
A nonlinear goal-programming-based DE and ANN approach to grade optimization in iron mining
This study proposes a combined ‘nonlinear goal-programming’-based ‘differential evolution’ (DE) and ‘artificial neural networks’ (ANN) methodology for grade optimization in iron mining production processes. T...