One of the widely used models for studying economics of climate change is the Dynamic Integrated model of Climate and Economy (DICE), which has been developed by Professor William Nordhaus, one of the laureates of the 2018 Nobel Memorial Prize in Economic Sciences. Originally a single-objective optimal control problem has been defined on DICE dynamics, which is aimed to maximize the social welfare. In this paper, a bi-objective optimal control problem defined on DICE model, objectives of which are maximizing social welfare and minimizing the temperature deviation of atmosphere. This multi-objective optimal control problem solved using Non-Dominated Sorting Genetic Algorithm II (NSGA-II) also it is compared to previous works on single-objective version of the problem. The resulting Pareto front rediscovers the previous results and generalizes to a wide range of non-dominant solutions to minimize the global temperature deviation while optimizing the economic welfare. The previously used single-objective approach is unable to create such a variety of possibilities, hence, its offered solution is limited in vision and reachable performance. Beside this, resulting Pareto-optimal set reveals the fact that temperature deviation cannot go below a certain lower limit, unless we have significant technology advancement or positive change in global conditions.
Solving stochastic climate-economy models: A deep least-squares Monte Carlo approach
ETH Zurich（苏黎世联邦理工学院）；Vienna University of Economics and Business（维也纳经济与商业大学）；Macquarie University（麦考瑞大学）；Institute of Statistical Mathematics（统计数学研究所）；Norwegian University of Science and Technology（挪威科技大学）
The role of money and the financial sector in energy-economy models used for assessing climate policy
Cambridge Econometrics Ltd（剑桥计量经济学有限公司）；Faculty of Science, Radboud University（拉德堡德大学理学院）；Cambridge Centre for Environment, Energy and Natural Resource Governance (C-EENRG), University of Cambridge（剑桥大学环境、能源和自然资源治理中心）
Potential impacts of ballast water regulations on international trade, shipping patterns, and the global economy: An integrated transportation and economic modeling assessment
The Social Cost of Carbon with Economic and Climate Risks
Becker Friedman Institute at the University of Chicago（芝加哥大学贝克弗里德曼研究所）；Hoover Institution（胡佛研究所）；Department of Business Administration, University of Zurich（苏黎世大学工商管理系）
Equity Implications of Net-Zero Emissions: A Multi-Model Analysis of Energy Expenditures Across Income Classes Under Economy-Wide Deep Decarbonization Policies
AI worsens climate change, integrated assessment shows
Hebei University of Technology（河北工业大学）；International Institute for Applied Systems Analysis (IIASA)（国际应用系统分析研究所）；University of Sussex（萨塞克斯大学）；Vrije Universiteit, Amsterdam（阿姆斯特丹自由大学）；Tinbergen Institute（丁伯根研究所）；CESifo；Colorado School of Mines（科罗拉多矿业学院）；City University of Macau（澳门城市大学）
Exploring the economic, social and environmental prospects for commercial natural annual grasslands by performing a sensitivity analysis on a multidisciplinary integrated model
A Deep Learning Analysis of Climate Change, Innovation, and Uncertainty
Arizona State University（亚利桑那州立大学）；University of Wisconsin（威斯康星大学）；University of Chicago（芝加哥大学）；University of California Santa Barbara（加州大学圣巴巴拉分校）；University of Pennsylvania（宾夕法尼亚大学）
Economic Impacts of Climate Change in the United States: Integrating and Harmonizing Evidence from Recent Studies
National Center for Environmental Economics, Environmental Protection Agency, USA（美国环境保护局国家环境经济中心）；Doerr School of Sustainability, Stanford University（斯坦福大学迪尔可持续发展学院）；Department of Agricultural and Resource Economics, University of California, Berkeley（加州大学伯克利分校农业与资源经济学系）
