论文 Publication

2018
Xie, J., Dai*, H. & Hong, L. The impact of carbon tax on the industrial competitiveness of Chongqing in China. Energy for Sustainable Development (2018).
Geng, Y., Fujita, T., Chiu, A., Dai, H. & Hao, H. Responding to the Paris Climate Agreement: global climate change mitigation efforts. Frontiers in Energy (2018). 访问链接
He, C., Jiang, K., Dai, H. & Liu, J. Emission Scenario Analysis for China under the Global 1.5℃ Target. Carbon Management (2018). 访问链接
Ma, F., et al. Material footprint of a fast-industrializing region in China, Part 1: Exploring the materialization process of Liaoning Province. Resources, Conservation and Recycling 134, 228–238 (2018). 访问链接
Qi, Y., Dai*, H., Geng*, Y. & Xie, Y. Assessment of economic impacts of differentiated carbon reduction targets: a case study in Tianjin of China. Journal of Cleaner Production 182, 1048–1059 (2018). 访问链接Abstract
The Computable General Equilibrium (CGE) model could capture the full range of interaction and feedback effects among different agents in the economic system. This study analyzes the economic impacts of differentiated carbon reduction targets by using a two-region CGE model in Tianjin Municipal City of China (hereafter “Tianjin”). Firstly, based on a business-as-usual (BaU) scenario and seven proposed carbon reduction scenarios, this paper quantifies the macroeconomic impacts of different carbon reduction targets in both regions, especially the carbon reduction costs and industrial output. Furthermore, several typical industries in Tianjin are chosen to explore how their competitiveness is affected under different carbon allocation scenarios. The results show that compared with the BaU scenario, the Gross Domestic Product (GDP) in Tianjin would achieve the highest growth rate if the carbon intensity reduction target is set at 65% in Tianjin whereas 55% in the rest of China (ROC). Meanwhile, residents’ welfare loss in Tianjin will be the largest if carbon intensity reduction target in 2030 is set to be 65% in Tianjin and 75% in ROC. Also, the local pillar industries (including electronic sector and the metal smelting sector) would benefit from the carbon reduction policy, while the paper sector would be negatively influenced. Policy recommendations are raised, in which several factors should be fully considered, including development stages, resource endowments, technical levels and local environmental carrying capacity.
Liu, Z., et al. Assessment of launching national carbon emissions trading market under China’s INDC target: A case study of Shanghai. Applied Energy 230, 232-240 (2018). 访问链接
Su, Q., et al. A CGE-based integrated model for water management under CO2 mitigation scenario in a rapidly urbanizing catchment. Journal of Environmental Management 93-103 (2018).
Xie, Y., et al. Co-benefit of climate mitigation on air quality and human health in Asian countries. Environmental International 119, 309-318 (2018). 访问链接Abstract
Climate change mitigation involves reducing fossil fuel consumption and greenhouse gas emissions, which is expensive, particularly under stringent mitigation targets. The co-benefits of reducing air pollutants and improving human health are often ignored, but can play significant roles in decision-making. In this study, we quantified the co-benefits of climate change mitigation on ambient air quality and human health in both physical and monetary terms with a particular focus on Asia, where air quality will likely be degraded in the next few decades if mitigation measures are not undertaken. We used an integrated assessment framework that incorporated economic, air chemistry transport, and health assessment models. Air pollution reduction through climate change mitigation under the 2 °C goal could reduce premature deaths in Asia by 0.79 million (95% confidence interval: 0.75–1.8 million) by 2050. This co-benefit is equivalent to a life value savings of approximately 2.8 trillion United States dollars (USD) (6% of the gross domestic product [GDP]), which is decidedly more than the climate mitigation cost (840 billion USD, 2% of GDP). At the national level, India has the highest potential net benefit of 1.4 trillion USD, followed by China (330 billion USD) and Japan (68 billion USD). Furthermore, in most Asian countries, per capita GDP gain and life value savings would increase with per capita GDP increasing. We robustly confirmed this qualitative conclusion under several socioeconomic and exposure-response function assumptions.  
Tian, X., et al. Economic Impacts from PM2.5 pollution-related health effects in China's road transport sector: a provincial-Level analysis. Environmental International 115, 220–229 (2018). 访问链接
Dai, H., Xie*, Y., Zhang, H.B., Yu, Z. & Wang, W. Effects of the US withdrawal from Paris Agreement on the carbon emission space and cost of China and India. Frontiers in Energy (2018).
Yu, Z., et al. A general equilibrium analysis of the impacts of regional and sectoral emission quota allocation on carbon trading market. Journal of Cleaner Production 192, 421-432 (2018). 访问链接
Weng, Z., Dai, H., Ma, Z., Xie, Y. & Wang, P. The economic impacts of regional differentiated Carbon intensity reduction targets on Guangxi Province of China. Resources, Conservation and Recycling 133, 157–168 (2018). 访问链接
Wang, H., et al. Co-benefit of carbon mitigation on resource use in China. Journal of Cleaner Production 174, 1096-1113 (2018). 访问链接
Zhang, R., Fujimori, S., Dai, H. & Hanaoka, T. Contribution of transport sector to global climate mitigation: insights from a global passenger transport model coupled with a computable general equilibrium model. Applied Energy 211, 76–88 (2018). 访问链接
Xie, Y., Dai*, H., Zhang, Y., Hanaoka, T. & Masui, T. Economic impacts from ozone pollution-related health effects in China: A provincial-level analysis. Atmospheric Chemistry and Physics (2018). 访问链接
Li, Z., et al. Exploring the impacts of regional unbalanced carbon tax on CO2 emissions and industrial competitiveness in Liaoning province of China. Energy Policy 113, 9-19 (2018). 访问链接

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