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Strategic environmental assessment (SEA) can support low-carbon development (LCD). However, no empirical review exists to consolidate the existing evidence base and inform practitioners, policymakers and scholars. This paper reviews prior empirical studies on SEA–LCD integration, identifies research gaps and develops a future research agenda. A narrative literature review was employed. Results reveal that only nine studies have been reported to date. They all demonstrate inconsistent and inadequate treatment of LCD. Most studies lack defined theories, focus on Global North countries, ignore SEA’s strategic characteristics and use SEA reports for data. The review culminates in a future research agenda that should lead to novel and significant contributions to the literature. It also highlights policy implications, focussing on the need for (1) high-level policy commitment to address LCD within SEA, (2) operational guidance and legal and regulatory structures to enable practice and (3) policy incentives for conducting, disseminating and applying research.
An energy supply dominated by the use of fossil fuels causes both climate change and air pollution, which have negative impacts on human capital via both health and productivity. In addition, different people are affected differently because of factors such as age, gender and education level. To enhance the understanding of the benefits of low carbon transition from the labor supply perspective and help to identify strategies of collaborative control for CO2 and local air pollutants in China, an integrated assessment model linking the air quality module and the health impact module with a disaggregated labor sector computable general equilibrium (CGE) economic system is developed and applied in this study. Results show some key findings. First, renewable energy development and carbon capture and storage (CCS) technologies will contribute significantly to GDP in terms of their impact on air quality improvement by 0.99% and 0.54%, respectively, in 2050. Second, due to differences in labor composition, air pollution has, and will continue to have, the greatest impact on sectors with a higher proportion of male and lower-educated workers — such as the coal sector, and it will have the least impact on sectors with a higher proportion of female and higher-educated workers — such as the public administration sector. Third, the different impacts of sector output will increase economic inequality.
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