The Policymaking Process to Restart Japanese Nuclear Power Plants

The Japanese government’s decision to continue restarting nuclear power is shaped by a combination of domestic political concerns, energy security challenges, and its ability to meet climate change commitments and targets. Nuclear power plants have started to come back online, but there is still a question regarding the scope and timing for restarting the remaining reactors. In this paper, we apply a model of collective decision-making processes (CDMPs) to assess the political will for restarting nuclear power plants in Japan. We find that: There is growing political will among Japanese stakeholders to restart nuclear reactors for power generation. Over the next several years, the current political trajectory indicates political acceptance of nuclear power among municipal and prefecture political leaders, who are currently the most significant and consequential opponents to nuclear power. Local governments have the ability to block the restart of nuclear power plants. The process of regaining national support for nuclear power in Japan is expected to take several years of domestic political debate. The Nuclear Regulation Authority (NRA) appears to be a credible and effective voice in building political acceptance of restarting nuclear power plants, given enough time. However, it is important that the NRA maintains its role as an unbiased and fact-based entity, to maintain its credibility with opponents to nuclear power. Despite the turbulence in Japanese politics in 2017, the trend of slowly growing political will in favor of nuclear power appears to be largely unchanged.

Assessment of the Political Feasibility of Developing a GCC Power Market

Countries in the Cooperation Council for the Arab States of the Gulf, commonly known as the Gulf Cooperation Council (GCC), established a regional power grid to support member countries’ high voltage networks in 2001 but, to date, the system has remained underutilized. The intended purpose of the grid was to provide backup electricity during emergencies caused by power system outages, especially during the summer, and to share spinning reserves, optimize capital investments in electricity and reduce fuel costs. The grid has been fully operational since 2011 and has satisfied its intended purpose. However, GCC member states have largely failed to take advantage of options associated with the grid to trade electricity. This paper uses the KAPSARC Toolkit for Behavioral Analysis platform, a model of collective decision-making processes developed at KAPSARC, to examine the political feasibility of expanding the utilization of the GCC grid to include trading electricity.

The Political Feasibility of Policy Options for the UAE’s Energy Transition

The United Arab Emirates (UAE) has said it wishes to transition toward a less carbon-intensive energy system, both as part of its Nationally Determined Contribution (NDC) within the United Nations Framework Convention on Climate Change (UNFCCC), and as one of a number of investments in ‘green’ research and development, technology and power generation. However, given the complexity of the UAE political system, which requires consensus among seven relatively sovereign and independent emirates, as well as commercial and financial interests, it is not immediately clear which policy instruments that might drive the UAE energy transition will prove acceptable and politically plausible. Here, we apply the KAPSARC Toolkit for Behavioral Analysis (KTAB) platform, a model of collective decision-making processes (CDMPs), to assess the political will to agree to and to implement an array of different policy alternatives within the current UAE context.

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

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.

Energy Relations and Policy Making in Asia

Trade between the economies of the Gulf Cooperation Council (GCC) and North East Asia (NEA) reached $471 billion in 2013, based almost entirely on oil and gas. The GCC sends 44 percent of its exports to NEA, which depends on the GCC region for a very high proportion of its oil imports. Trade relations are otherwise very limited: the GCC takes only 3 percent of NEA’s exports.

Multidimensional Bargaining Using KTAB

This paper (Multidimensional KTAB) is a technical discussion paper designed as a follow on to An Introduction to the KAPSARC Toolkit for Behavioral Analysis using one-dimensional spatial models (Unidimensional KTAB). It extends the original framework of KTAB to explain the analysis described in the recently released KAPSARC discussion paper Reforming the Role of State-Owned Enterprise in China’s Energy Sector: An Analysis of Collective DecisionMaking Processes Using the KAPSARC Toolkit for Behavioral Analysis (Chinese SOE Reform).

Reforming the Role of State-Owned Enterprise in China’s Energy Sector: An Analysis of Collective Decision-Making Processes Using the KAPSARC Toolkit for Behavioral Analysis (KTAB)

What are the prospects for reform of the Chinese energy sector? This question is the subject of much debate both inside and outside China. Since coming to power in November 2012, China’s new government has issued a series of statements on reform, clearly an important part of the country’s continuing ‘great revival’. Despite this, some experts have been unconvinced by the pace of economic reform. What reform means for the energy sector is even less clear. There are competing views on how, and to what extent, the energy sector and energy policy will be reformed, but they all share various potential biases resulting from incomplete data and “not knowing what we don’t know”.

An Introduction to the KAPSARC Toolkit for Behavioral Analysis (KTAB)

The KAPSARC Toolkit for Behavioral Analysis (KTAB) is freely available, state-of-the-art software that has been designed to enable the rigorous and systematic analysis of collective decision-making processes (CDMPs). KTAB is being designed with three types of users in mind. The program code is available directly for computer programmers. Power users will be able to construct their own specific models based on the existing structure, and applied users will be able to access pre-built models through a simple graphical user interface. Collective decision-making processes are those in which a group of individual actors interact to arrive at a single decision. Common examples include the deliberations of corporate boards. These processes have usually been studied in a purely qualitative fashion, but there is a growing body of evidence which suggests that computer models can deliver additional insights. KTAB is being designed to unlock these additional insights for a broader range of analysts, but its release is also hoped to extend the awareness of computer models as a route to the investigation of CDMPs, and to prompt a wider acceptance and uptake of a quantitative approach to such analyses.

The KAPSARC Energy Policy Database: Introducing a Quantified Library of China’s Energy Policies

Government policy is a critical factor in the understanding of energy markets. Governments create constraints and incentives that drive behavior through policy. In turn, these behaviors have fundamental impacts on the functioning of markets. Despite the critical role of policy, it is rarely approached systematically from a research perspective. One of the first and most basic steps in a systematic approach is gaining a precise understanding of what policies exist, their intended outcomes, their geographical extent, duration, and expected evolution. A systematic understanding of policy, with this level of detail, would enable the research community to answer a variety of questions that, for now, are either over-simplified or ignored. Policy, on its surface, is also a very unstructured and qualitative undertaking. There may be quantitative components, but policies are usually framed in sentences requiring interpretation of their meaning. This makes it difficult to incorporate an understanding of policy into quantitative approaches, other than by making assumptions as to the effect of policy in framing a quantitative model. The KAPSARC Energy Policy Database (KEPD) is intended to address these two energy policy research limitations. The methodology described in this paper could be applied to any set of energy policies, though this becomes a large task very quickly.

Toward the Integration of Policymaking Models and Economic Models

The traditional economic approach to policy analysis is to utilize tools and methods developed within the field of economics and study the economic impact of one or more policies solely from an economic perspective. As a consequence, the “policies” are usually formulated and evaluated only by an assessment of the pure economic optimality of expected outcomes. Moreover, economic models typically treat policy choices as exogenously specified. Once policies are selected according to some exogenous process, then scenario analysis can be performed to simulate the economic impact of those policies.

Modeling collective decision-making processes with the KAPSARC toolkit for behavioral analysis

ACM International Conference Proceeding Series

Analyzing coalitions in China’s policy formulation: Reforming the role of state-owned enterprises in China’s energy sector

Journal of East Asian Studies

Preface

Energy Transitions

Debating the Trade-offs in China’s Oil Import Security

International Journal of Energy Security and Environmental Research

Using DataCards for Socio-Cultural Data Discovery and Sharing

Phalanx

Competition Among the Giants: Implications for Regional Integration in Europe, 2010-2050

International Studies Review

Senturion: A Predictive Simulation Model

National Defense University Center for Technology and National Secuity Policy

Integrating Theory and Policy: Global Implications of the War in Iraq

International Studies Review

The Political Future of Afghanistan and its Implications for US Policy

Conflict Management and Peace Science

From War to Integration: Generalizing the Dynamic of Power Transitions

International Interactions

Structural Conditions and the Propensity for Regional Integration

European Union Politics

“Political Power Transitions and Chinese Economic Policy,” in Baizhu Chen, Kim Dietrich, and Yi Feng, eds., Financial Market Reform in China: Progress, Problems, and Prospects

Boulder, CO: Westview Press

Power Transitions: Strategies for the 21st Century

Negotiating Peace in Kosovo

International Interactions