科研成果 by Type: 期刊论文

已提交
Li, B., Dai*, H., Chen, Y., Zhang, S. & Janusz, C. Climate and health benefits of phasing out iron & steel production capacity in china: findings from the IMED model. Climate Change Economics (已提交).
Xu Tian, Hancheng Dai*, Y.G.* S.Z.Y.X.X.L.P.L.R.B. Co-benefits of achieving 2-degree target in China: Contribution from the road transport sector. Energy Policy (已提交).
Kim, S.E., et al. Co-benefits of air quality and health from mitigating climate change in South Korea. Environmental International (已提交).
Jin, Y., Chen, X. & Dai*, H. The impacts of carbon cap and trade policy on different economic sectors in China: A general equilibrium analysis. Energy Economics (已提交).
2019
Li, Z., et al. Assessment of the carbon emissions reduction potential of China’s iron and steel industry based on a simulation analysis. Energy 183, 279-290 (2019). 访问链接
Liu, C., Dai*, H., Zhang, L. & Feng, C. The impacts of economic restructuring and technology upgrade on air quality and human health in Beijing-Tianjin-Hebei region in China. Frontiers of Environmental Science and Engineering (2019).
Xie, Y., Dai*, H., Zhang*, Y., Hanaoka, T. & Masui, T. Comparison of health and economic impacts of PM2.5 and ozone pollution in China. Environmental International (2019).
Su, Q., et al. General equilibrium analysis of the cobenefits and trade-offs of carbon mitigation on local industrial water use and pollutants discharge in China. Environmental Science & Technology 53, 1715–1724 (2019). 访问链接
Wu, R., Dai*, H., Geng, Y., Xie, Y. & Tian, X. Quantifying the impacts of export restructuring on macro economy and CO2 emissions: A general equilibrium analysis for China. Applied Energy 248, 64-78 (2019). 访问链接
Wu, Y.-H., Dai*, H. & Masui, T. The Efforts of Taiwan to Achieve NDC Target: An Investigation on the Regional Emission Trading System. Natural Hazards (2019).
Cao, Z., Liu*, G., Zhong, S., Dai, H. & Pauliuk, S. Integrating dynamic material flow analysis and computable general equilibrium models for both mass and monetary balances in prospective modelling: A case for Chinese building sector. Environmental Science & Technology 53, 224–233 (2019). 访问链接
Zhang, X., Jin*, Y., Dai*, H., Xie, Y. & Zhang, S. and economic benefits of cleaner residential heating in the Beijing-Tianjin-Hebei region in China. Energy Policy 127, 165-178 (2019). 访问链接
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
Jiang, K., He*, C., Dai, H., Liu, J. & Xu, X. Emission Scenario Analysis for China under the Global 1.5℃ Target. Carbon Management 9, 481-491 (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.
Su, Q., et al. Modeling the carbon-energy-water nexus in a rapidly urbanizing catchment: A general equilibrium assessment. Journal of Environmental Management 93-103 (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
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

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