A review on the 40 years of existence of data envelopment analysis models: historic development and current trends

A Panwar, M Olfati, M Pant, V Snasel - Archives of Computational Methods …, 2022 - Springer
DEA, incepted in 80s, has emerged as a popular decision-making technique, for
determining the efficiency of similar units. Due to its simplicity and applicability, DEA has …

Factors affecting CO2 emissions in China's agriculture sector: A quantile regression

B Lin, B Xu - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Rapid development of agriculture mechanization and the agro–industry in China
(considered as a large agricultural country) has led to a substantial increase in energy …

Resource abundance, industrial structure, and regional carbon emissions efficiency in China

K Wang, M Wu, Y Sun, X Shi, A Sun, P Zhang - Resources Policy, 2019 - Elsevier
With increasing concerns over climate change and the global consensus regarding low
carbon growth, the transition of resource-based regions has become urgent and …

On the environmental performance analysis: a combined fuzzy data envelopment analysis and artificial intelligence algorithms

A Amirteimoori, T Allahviranloo, M Zadmirzaei… - Expert Systems with …, 2023 - Elsevier
Greenhouse gases (GHG) remain in the atmosphere for a very long-time causing alarmingly
fast warming worldwide (global warming); especially Carbon dioxide (CO 2) emissions have …

Technological innovation efficiency in China: Dynamic evaluation and driving factors

Q Wang, Y Chen, H Guan, O Lyulyov, T Pimonenko - Sustainability, 2022 - mdpi.com
Innovation is the engine and accelerator that drives high-quality economic and enterprise
development. In recent years, the output of scientific and technological innovation in China …

Energy-related CO2 emissions and structural emissions' reduction in China's agriculture: An input–output perspective

Y Yu, T Jiang, S Li, X Li, D Gao - Journal of cleaner production, 2020 - Elsevier
The greenhouse effect caused by excessive carbon emissions seriously threatens the
sustainability of the global economy. Although the secondary and tertiary industries are the …

Sustainability efficiency of climate change and global disasters based on greenhouse gas emissions from the parallel production sectors–A modified dynamic parallel …

LC Lu, SY Chiu, Y Chiu, TH Chang - Journal of Environmental …, 2022 - Elsevier
This study employed dynamic three-stage network data envelopment analysis (DEA),
considering parallel production in the agricultural and industrial sectors, to assess the …

A review of machine learning applications in life cycle assessment studies

XX Romeiko, X Zhang, Y Pang, F Gao, M Xu… - Science of The Total …, 2024 - Elsevier
Abstract Life Cycle Assessment (LCA) is a foundational method for quantitative assessment
of sustainability. Increasing data availability and rapid development of machine learning …

Does industrial agglomeration facilitate environmental performance: new evidence from urban China?

Y Wang, J Wang - Journal of environmental management, 2019 - Elsevier
This paper presents new evidence on the impact of industrial agglomeration on
environmental performance with a sample of prefectural-cities in China. When …

Estimation and spatiotemporal analysis of the carbon-emission efficiency of crop production in China

H Wu, H Huang, W Chen, Y Meng - Journal of Cleaner Production, 2022 - Elsevier
Low-carbon crop production can mitigate global warming. Carbon-emission efficiency of
crop production, which reflects the gap between actual and ideal emissions under local …