Energy Transition

When global oil prices declined dramatically in 2014 and 2015, leading energy analysts expected that oil production in the United States—consisting primarily of “tight oil” extracted from rock formations by means of massive hydraulic fracturing—would likewise decrease due to relatively high production costs. Despite prospects for a negative return on investment, however, U.S. tight oil production continued almost unabated. Perplexed by this development, a team of researchers sought to better understand the relationship between oil prices and production volumes. In particular, they aimed to pinpoint those factors that determine the “breakeven” points of tight oil production projects—essentially the oil price points at which revenue from sales equals the cost of production.

Though energy industry analysts have widely used breakeven costs to predict how oil producers will respond to changing market conditions and to assess the economic viability of proposed oil and gas development projects, they have routinely defined them imprecisely and inconsistently. This has resulted in predictions of limited utility and reliability. To enable more robust predictions, the researchers, who work for Schlumberger-Doll Research, the MIT Joint Program on the Science and Policy of Global Change, the Atlantic Council, the King Abdullah Petroleum Studies and Research Center, and the Columbia University School of International and Public Affairs, have developed a systematic method to understand the costs of oil production and how they change with time and circumstances. Applying this method, they have proposed a set of standard definitions for breakeven points at different stages of the oil production cycle.

Critical to our ability to survive and thrive for generations to come is ongoing access to adequate supplies of clean, fresh water. For the foreseeable future, significant freshwater withdrawals will be needed for irrigation, thermal power plant cooling, and myriad industrial and residential uses. But in many regions, socioeconomic and environmental pressures pose growing threats to both the quantity and quality of local water resources. In order to take effective action to mitigate and/or adapt to rising risks, decision-makers will need robust, prediction-based strategies and tools.

Because the Russian economy relies heavily on exports of fossil fuels, the primary source of human-induced greenhouse gas (GHG) emissions, it may be adversely impacted by Paris Agreement-based climate policies that target reductions in GHG emissions. Applying the MIT Economic Projection and Policy Analysis (EPPA) model to assess the impacts of the Paris Agreement on the Russian economy, this study projects that climate-related actions outside of Russia will lower the country’s GDP growth rate by about one-half of a percentage point. The Paris Agreement is also expected to raise Russia’s risks of facing market barriers for its exports of energy-intensive goods, and of falling behind in the development of low-carbon energy technologies that most of the world is increasingly adopting. The researchers argue that to address these risks, the country needs a new comprehensive development strategy that accounts for the post-Paris global energy landscape. They offer suggestions for key elements of such a strategy, including diversification of the economy, moving to low-carbon energy sources and investing in human capital development. The study simulates three simple diversification scenarios showing that redistribution of incomes from the energy sector to the development of human capital would help avoid the worst possible outcomes.

Taiwan has proposed significant reductions in its greenhouse gas (GHG) emissions in its nationally determined contribution (NDC) to the Paris Agreement on climate change: a 50 percent cut from the business-as-usual level by 2030. Evaluating the impact of such climate mitigation policy on Taiwan is no easy task because its economy depends heavily on international trade, including imports of fossil fuels that account for nearly all of its energy supply. To date, studies assessing the economic impact of emissions reduction policies on Taiwan’s economy have been conducted solely under a single-country modeling framework, which cannot capture global effects such as impacts of climate mitigation policies abroad. To bridge this gap, researchers from the MIT Joint Program on the Science and Policy of Global Change and Taiwan’s Institute for Nuclear Energy Research developed a version of the MIT Economic Projection and Policy Analysis (EPPA) model, a global energy-economic computable general equilibrium (CGE) model, in which Taiwan is explicitly represented.

The new Economic Projection and Policy Analysis (EPPA)-Taiwan model has enabled the researchers to assess (1) how different reference-year data sets affect results of policy simulations, (2) the importance of structural and parameter assumptions in the model, and (3) the importance of explicit treatment of trade and international policy. Using the model, they found (1) higher mitigation costs across regions using data for the year 2011 rather than for 2007 and 2004 data, due to increasing fossil fuel cost shares over time; (2) lower GDP losses across regions under a broad carbon policy using a more complex model structure designed to identify the role of energy and GHG emissions in the economy, because the formulation allows more substitution possibilities than a much simplified production structure; and (3) lower negative impacts on GDP in Taiwan when it carries out its NDC as part of a global policy compared with unilateral implementation because, under a global policy, producer prices for fossil fuels are suppressed, benefiting Taiwan’s economy.

Answering these questions may help researchers and policymakers to become aware of the potential implications of updating the global economic database, demonstrate the impact of model design on results, and highlight the roles of policies implemented abroad in determining the domestic policy implications of Taiwan. Through their evaluation of the first stage of development of the EPPA-Taiwan model, the researchers have identified many additional steps to make the model more realistic.

Abstract: We present and evaluate a new global computable general equilibrium (CGE) model to focus on analyzing climate policy implications for Taiwan’s economy and its relationship to important trading partners. The main focus of the paper is a critical evaluation of data and model structure. Specifically, we evaluate the following questions: How do the different reference year data sets affect results of policy simulations? How important are structural and parameter assumptions? Are explicit treatment of trade and international policy important? We find: (1) Higher mitigation costs across regions using data for the year of 2011, as opposed to cases using the 2007 and 2004 data, due to increasing energy cost shares over time. (2) Lower GDP losses across regions under a broad carbon policy using a more complex model structure designed to identify the role of energy and GHG emissions in the economy, because the formulation allows more substitution possibilities than a more simplified production structure. (3) Lower negative impacts on GDP in Taiwan when it carries out its national determined contribution (NDC) as part of a global policy compared with unilateral implementation because, under a global policy, producer prices for fossil fuels are suppressed, benefitting Taiwan’s economy.

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