Journal
SCIENCE OF THE TOTAL ENVIRONMENT
Volume 635, Issue -, Pages 284-293Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.scitotenv.2018.04.076
Keywords
Eco-efficiency; Environmental impact assessment; China's economic sectors; Economic input-output life cycle assessment; Data envelopment analysis
Categories
Funding
- National Natural Science Foundation of China [41471457, 71774048]
- Fundamental Research Funds for the Central Universities [2016B09414]
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Due to the increasing environmental burdens caused by dramatic economic expansion, eco-efficiency indicating how efficient the economic activity is with respect to its environmental impacts has become a topic of considerable interest in China. In this context, Economic Input-output Life Cycle Assessment (EIO-LCA) and Data Envelopment Analysis (DEA) are combined to assess the environmental impacts and eco-efficiency of China's 26 economic sectors. The EIO-LCA results indicate that Electricity Production and Supply sector is the largest net exporter in energy usage, CO2 emission and exhaust emission categories, while Construction sector is the largest net importer for five impact categories except for water withdrawal. Moreover, Construction sector is found to be the destination of the largest sector-to-sector environmental impact flows for the five impact categories and make the most contributions to the total environmental impacts. Another key finding is that Agriculture sector is both the largest net exporter and the greatest contributor for water withdrawal category. DEA results indicate that seven sectors are eco-efficient while over 70% of China's economic sectors are inefficient and require significant improvements. The average target improvements range between 23.30% and 35.06% depending on the impact category. Further sensitivity analysis reveals that the average sensitivity ratios vary from 7.7% to 15.7% among the six impact categories, which are found to be negatively correlated with their improvement potentials. Finally, several policy recommendations are made to mitigate environmental impacts of China's economic sectors and improve their eco-efficiency levels. (C) 2018 Elsevier B.V. All rights reserved.
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