Support for a Carbon Tax in China: A Collective Decision-Making Process Simulation Using the KAPSARC Toolkit for Behavioral Analysis

Initiative Climate Change Policies and Governance
Type Discussion paper
Date May 1, 2017

Abstract

China, the world’s largest emitter of carbon dioxide, is taking steps to combat the effects of climate change on its environment. The path it takes to mitigate the effects of pollution will have a significant impact on the global carbon reduction agenda. In this study, we focus on the political feasibility of implementing a carbon tax in China within the next five years. We do this using the KAPSARC Toolkit for Behavioral Analysis (KTAB) platform, a model of collective decision-making processes (CDMPs) developed at KAPSARC to assess the expected support in China for, and reactions to, this potential policy choice.

Authors

Imtenan Al-Mubarak

Acting Head of Research Strategy Management Office Imtenan Al-Mubarak is the acting head of KAPSARC’s Research Strategy Management Office. She was previously a research fellow at KAPSARC,… Imtenan Al-Mubarak is the acting head of KAPSARC’s Research Strategy Management Office. She was previously a research fellow at KAPSARC, focusing on policy research with an emphasis on data science and machine learning. Before joining KAPSARC, Imtenan worked at several companies in Chicago, and at Electronia in Dammam and Saudi Aramco in Dhahran, Saudi Arabia. She holds a master’s degree with distinction from DePaul University, Chicago, for which she was awarded the Golden Key International Honor. She is a certified Project Management Professional (PMP) and a member of several professional organizations. She is a Future Energy Leader at the World Energy Council in London and a board member at a non-profit organization in San Francisco. She also holds a patent in the United States (issued November 8, 2016).

Expertise

Data science
Machine learning
Industry and entrepreneurship
Game theory
Bargaining models
Behavioral analysis
Policy assessment
Geopolitics
GCC energy policies and economics
Transition management.

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Brian Efird

Program Director Dr. Brian Efird is the program director for Policy and Decision Science. He manages a multidisciplinary, multi-national team of researchers… Dr. Brian Efird is the program director for Policy and Decision Science. He manages a multidisciplinary, multi-national team of researchers who work on quantitative models of collective decision-making processes (CDMP), geospatial information system applications to energy economics and energy policy, demography and energy, and energy policy studies of countries in the Gulf Cooperation Council (GCC) region. Dr. Efird is co-editor-in-chief of a new journal from Springer Scientific called Energy Transitions. He was previously a senior research fellow at the National Defense University in Washington, D.C.; a consultant on defense and international security matters in Washington; and a consultant applying quantitative models to support corporate, investment banking, and legal negotiations in New York.

Expertise