JP

When it launches in 2017, China's CO2 emissions trading system (ETS) will cover the largest CO2 emissions volume of any system to date and be among the very first to launch in a developing country. We evaluate the potential of an ETS to alter the emitting behavior of covered firms and to support the achievement of national CO2 intensity reduction targets at least cost. Specifically, we focus on two questions: (1) What factors have limited firms' past compliance with environmental policy in China, and (2) what can be done to strengthen compliance with China's national ETS? We argue that altering firm behavior will require a simultaneous effort to strengthen firms' compliance incentives through changes to national institutions - in particular, a strong legal foundation for the system, a nationally unified set of measurement, reporting, and verification requirements subject to independent scrutiny, and ongoing broader economic reforms to support system operation. It will also require signaling a sustained commitment to experimentation, evaluation, and modification of the system based on performance, given that system effectiveness will depend on expectations about its longevity and credibility, but will inevitably require adjustments. We illustrate the importance of these recommendations for firm compliance behavior by drawing on the experience of the Beijing pilot ETS (2013-2015). Given vast heterogeneity across provinces, special attention should be given to strengthening institutional foundations where they are least developed alongside the construction of a national ETS.

Keywords: Climate change, emissions trading system, firm compliance, China

In the Paris Agreement, Turkey pledged to reduce greenhouse gas (GHG) emissions by 21% by 2030 relative to business-as-usual (BAU). However, Turkey relies heavily on imported energy and fossil-intensive power generation. And despite significant wind and solar energy potential, only 5.1% of its total power is generated by wind and solar installations. Finally, although two nuclear power stations are planned, no nuclear capacity currently exists.

This study is based on an expectation that to fulfill its Paris Agreement pledge, Turkey will likely need to reduce its reliance on fossil-based energy and make additional investments in low-carbon energy sources—moves that may impact the nation’s GDP, electricity generation profiles and resulting carbon prices. To fully assess these impacts, the researchers develop a computable general equilibrium (CGE) model of the Turkish economy that combines macroeconomic representation of non-electric sectors with a detailed representation of the electricity sector. They analyze several scenarios to assess the impact of an emission trading scheme in Turkey: one including the planned nuclear development and renewable subsidy scheme (BAU), the other in which no nuclear technology is allowed (NoN).

The assessment shows that in 2030, without an emissions trading policy, the primary energy mix will consist mainly of oil, natural gas and coal. Under an emission trading scheme, however, coal-fired power generation vanishes by 2030 in both BAU and NoN due to the high cost of carbon. With nuclear (BAU), GHG emissions are 3.1% lower than NoN due to the resulting energy mix, allowing for a lower carbon price ($50/tCO2 in BAU compared to $70/tCO2 in NoN). These results suggest that fulfillment of Turkey’s Paris Agreement pledge may be possible at a modest economic cost of about 0.8–1% of GDP by 2030.

The future of the Earth’s energy, water and land resources will depend, in part, on how the climate will change in coming decades. To generate meaningful projections of global climate change, one must take into account two major sources of uncertainty—first, in the level of external forcings to the climate system; and second, in the magnitude of the climate system’s response to those forcings. The MIT Earth System Model (MESM) provides the flexibility and computational speed required to analyze/account for climate system uncertainty while also representing the detailed physics, chemistry and biology that’s typical of more computationally intensive Earth system models—all at significantly less cost. 

The computational efficiency of this model allows researchers to run large ensembles of simulations for robust uncertainty quantification within a short time frame. The MESM thus provides an effective tool for modeling the climate system and quantifying uncertainty of its response to external forcings. MESM simulations can be used as a basis for climate risk assessment to energy, water and land resources.

Recently upgraded, the MESM consists of three main components—land, ocean and atmosphere—and represents the processes that shape each component’s evolution and the interactions among these components, essentially serving as an Earth simulator. Despite simplifications made in the model to make it faster and cheaper to run, such as a zonally averaged atmospheric sub-model, the MESM shows generally comparable results to those of more complex models. Comparing the performance of the MESM with that of more computationally intensive Earth system models, researchers at the MIT Joint Program on the Science and Policy of Global Change and collaborating institutions show that the MESM effectively simulates changes in the observed climate system since the mid-19th century as well as the main features of the present-day climate system. In simulations of the impact of varying levels of external forcings on the climate system, the MESM’s results also compares favorably with those produced by more computationally intensive models.

In the Paris Agreement, Turkey pledged to reduce greenhouse gas (GHG) emissions by 21% by 2030 relative to business-as-usual (BAU). However, Turkey relies heavily on imported energy and fossil-intensive power generation. And despite significant wind and solar energy potential, only 5.1% of its total power is generated by wind and solar installations. Finally, although two nuclear power stations are planned, no nuclear capacity currently exists.

This study is based on an expectation that to fulfill its Paris Agreement pledge, Turkey will likely need to reduce its reliance on fossil-based energy and make additional investments in low-carbon energy sources—moves that may impact the nation’s GDP, electricity generation profiles and resulting carbon prices. To fully assess these impacts, the researchers develop a computable general equilibrium (CGE) model of the Turkish economy that combines macroeconomic representation of non-electric sectors with a detailed representation of the electricity sector. They analyze several scenarios to assess the impact of an emission trading scheme in Turkey: one including the planned nuclear development and renewable subsidy scheme (BAU), the other in which no nuclear technology is allowed (NoN).

The assessment shows that in 2030, without an emissions trading policy, the primary energy mix will consist mainly of oil, natural gas and coal. Under an emission trading scheme, however, coal-fired power generation vanishes by 2030 in both BAU and NoN due to the high cost of carbon. With nuclear (BAU), GHG emissions are 3.1% lower than NoN due to the resulting energy mix, allowing for a lower carbon price ($50/tCO2 in BAU compared to $70/tCO2 in NoN). These results suggest that fulfillment of Turkey’s Paris Agreement pledge may be possible at a modest economic cost of about 0.8–1% of GDP by 2030.

Today different regions must meet growing demand for land—most notably for food and bioenergy crops—amid changes in the local availability of fresh water. One approach is to boost crop yields through improvements in irrigation technology, but its implementation would require actionable estimates on the current scope of irrigated land and how much additional land can be irrigated, in what regions, and at what cost. To that end, this study develops a framework to more accurately represent the value of irrigated crop production and the potential of irrigated land areas to expand within economy-wide, applied general equilibrium (AGE) models.

The researchers compute the value of production on irrigated and rainfed cropland at an approximately 10-square kilometer grid-cell level as well as for the 140 regions and eight crop sectors in Version 9 of the Global Trade Analysis Project (GTAP) Data Base. For each crop category, they estimate and compare the dollar-value of irrigated and rainfed crop production using estimates of production quantities and prices. To represent the potential of irrigated land areas to expand, the researchers use irrigable land supply curves for 126 water regions globally, based on water availability and the costs of irrigation infrastructure. These curves enable regions to adapt to changes in water resources and agriculture demand through irrigation technology and crop production intensification.

The researchers’ new framework allows for more rigorous integrated assessments of regional and global impacts of water availability on land use, energy production and economic activity. They make this user-customizable framework available to enable other researchers to make integrated assessments of the current production value and expansion potential of irrigated land.

The 195 signatories of the Paris Agreement on climate change have committed to reduce greenhouse gas (GHG) emissions so as to keep the global temperature rise from preindustrial levels to well below two degrees Celsius (2°C). While much of this international effort has focused on the economy’s two largest-emitting sectors, electricity and transportation, achieving net-zero emissions will require emissions reductions in all sectors of the economy. That includes construction.

Among the most difficult emissions to reduce are cement and steel, which are primarily used as building materials. One potential solution is to substitute for these materials with engineered wood products, which are less GHG-intensive and have seen rapid growth in the construction industry in recent decades. This study evaluates the economy-wide impacts of replacing carbon-intensive construction inputs, such as steel and cement, with lumber products in the U.S. under an emissions constraint. It’s one of the few studies to examine the emission and economic impacts of these products under a climate policy.

Drawing upon their U.S. economy database, the researchers determined that the carbon dioxide (CO2) intensity of lumber production is about 20 percent less than that of fabricated metal products, under 50 percent that of iron and steel, and under 25 percent that of cement. They found that the ability to substitute lumber-based building materials increases production from the lumber and forestry sectors and decreases production from carbon-intensive sectors such as cement. Under a carbon cap-and-trade policy, the ability to substitute lumber products lowers the carbon price and the GDP cost of meeting the carbon cap, with more overall emissions abatement in the construction industry.

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