Regional Analysis

This paper develops a multi-country multi-sector general equilibrium model, integrating high-frequency electricity dispatch and trade decisions, to study the effects of electricity transmission infrastructure (TI) expansion and renewable energy (RE) penetration in Europe for gains from trade and carbon dioxide emissions in the power sector. TI can benefit or degrade environmental outcomes, depending on RE penetration: it complements emissions abatement by mitigating dispatch problems associated with volatile and spatially dispersed RE but also promotes higher average generation from low-cost coal if RE production is too low. Against the backdrop of European decarbonization and planned TI expansion, we find that emissions increase for current and targeted year-2020 levels of RE production and decrease for year-2030 targets. Enhanced TI yields sizeable gains from trade that depend positively on RE penetration, without creating large adverse impacts on regional equity.

This paper investigates the determinants of the performance of family farms in Senegal using both production and profit functions. The econometric analysis is based on agricultural inputs and outputs information from a survey of 504 agricultural households, member of a farmer organization in the Saint Louis region in 2009. Our main results indicate that the size of the cultivated plots has a negative effect on crop yields, representing diseconomies of scale. This finding suggests potential for improvements in farm management and organization. We also find that the development of commercialization sectors and loans could boost agricultural inputs. In terms of profitability, our results show that yields and prices play significant and important roles for all crops. An increase in the bargaining power of farmers would be required to increase unit prices and consequently their profits.

© 2016 Cambridge University Press

Written by Valerie Karplus, an Assistant Professor in the Global Economics and Management Group at the MIT Sloan School of Management and the Director of the MIT-Tsinghua China Energy and Climate Project, this paper examines China’s current approach to tackling air pollution and carbon mitigation nationally and argues that more incentives are needed if China hopes to meet its “peak carbon” goal by 2030.

The urgency with which Beijing is tackling air pollution is certainly positive, and such actions will lead to concomitant benefits in curtailing carbon dioxide (CO2) emissions, to a certain extent. But Karplus argues that it would be a mistake to view the current initiatives on air pollution, which are primarily aimed at scrubbing coal-related pollutants or reducing coal use, as perfectly aligned with carbon reduction.

This is not the case, according to Karplus. Air pollution reduction is only partly aligned with CO2 reduction, and vice versa. In addition to air pollution efforts, effective co-control requires a more significant step: a meaningful price on carbon. This is especially so if Beijing is to realize its 2030 pledge. Put another way, air pollution control efforts, while essential, will only take China part of the way toward its stated carbon reduction goals.

One major reason is because while low-cost solutions for air pollution and carbon reduction can overlap, the reality is that co-benefits run out after low-cost opportunities to reduce or displace the fuels responsible for both carbon and air pollution emissions—mostly coal in China’s case—are exhausted. In other words, co-benefits diminish over time as greater reductions are needed, according to Karplus.

This paper originally appeared as part of the Paulson Papers on Energy and Environment series.

© 2015 The Paulson Institute

Recent years witnessed a sharp increase of CSP (concentrated solar power) plants around the world. CSP is currently at its early stage in China, with several demonstration and utility-scale plants underway. China's rising electricity demand, the severe environmental pollution from coal-fired power plants, and favorable renewable energy policies are expected to result in a large-scale CSP deployment in the next years. Detailed CSP studies for China are however hardly available. To fill this knowledge gap, this study collects plant-specific data in a national CSP database in collaboration with local CSP experts. On this basis, this study analyzes and benchmarks the costs of parabolic trough CSP, tower CSP, and dish CSP technologies in China by applying an LCOE (levelized cost of electricity) model. The current LCOE for the different CSP plants falls in a range of 1.2–2.7 RMB/kWh (0.19–0.43 US$/kWh). Among the three CSP technology variants discussed, our sensitivity analysis indicates that the tower CSP variant might have the greatest potential in China. We expect a future cost reduction potential of more than 50% in 2020 and a high share of local content manufacturing for tower CSP.

China has embarked on an ambitious pathway for establishing a national carbon market in the next 5–10 years. In this study, we analyze the distributional aspects of a Chinese emissions-trading scheme from ethical, economic, and stated-preference perspectives. We focus on the role of emissions permit allocation and first show how specific equity principles can be incorporated into the design of potential allocation schemes. We then assess the economic and distributional impacts of those allocation schemes using a computable general equilibrium model with regional detail for the Chinese economy. Finally, we conduct a survey among Chinese climate-policy experts on the basis of the simulated model impacts. The survey participants indicate a relative preference for allocation schemes that put less emissions-reduction burden on the western provinces, a medium burden on the central provinces, and a high burden on the eastern provinces. Most participants show strong support for allocating emissions permits based on consumption-based emissions responsibilities.

© 2015 Springer

Long-term response of the climate system to anthropogenic forcing was investigated with the MIT Earth System Model of intermediate complexity version 2.2 (MESM2.2). The MESM2.2 consists of a 2D (zonally averaged) atmospheric model coupled to an anomaly diffusing ocean model. Climate sensitivity of the MESM can be varied using a cloud adjustment technique and rate of oceanic heat uptake can be varied by changing effective diffusion coefficient. An ensemble of four hundred simulations was carried out for the period 1860-2005 using historical forcing. Values of climate sensitivity, rate of ocean heat uptake, and the strength of the aerosol forcing were drawn from the Libardoni and Forest (2013) distribution presented in the IPCC AR5. A 400-member ensemble was carried out for each of four different RCP scenarios from the year 2006 to the year 2500. By the end of the 21st century (2081-2100), the ensemble mean of surface air temperature increases, relative to 1986-2005 period, by 1.2, 1.8, 2.2 and 3.3oC for RCP26, RCP4.5, RCP6.0 and RCP8.5, respectively. Corresponding numbers for the ensemble of the CMPI5 models are 1.0, 1.8, 2.2 and 3.7oC. In spite of the forcing being fixed beyond year 2150 for RCP4.5 and RCP6.0 and beyond 2250 for RCP8.5, surface air temperature keeps rising until the end of 25th century under these scenarios. The upper bound of the 90% probability interval increases significantly more than the mean. For the RCP4.5 scenario, the mean value of possible SAT change increases by 1.6oC from the end of the 21st century to the end of the 25th century, while the value of the 95th percentile increases by 3.2oC. Corresponding numbers for RCP6.0 and RCP8.5 are 3.6 and 10.2oC for the medians and 7.0 and 14.5oC for the 95th percentiles, respectively. Such changes in the shape of probability distributions with time indicate an increase in the probability that surface warming will exceed a given value. For example, the probability of exceeding 3oC warming under the RCP4.5 scenario increases from 2.5% at the end of 21st century to 32% and 50% at the end of 23rd and 25th centuries, respectively. For the RCP2.6 scenario, in which radiative forcing peaks in the year 2070 before decreasing back to the 1990s level by the year 2300, the ensemble mean surface air temperature is still about 0.5oC above present at the end of the simulation. Obtained results show that in spite of large differences in radiative forcing between different RCP scenarios, uncertainties in the climate system characteristics defining climate system response make a significant contribution into overall uncertainty in possible climate change during the next few centuries. Comparison with simulations carried under SRES scenarios also will be presented

High frequency, in situ observations from 11 globally distributed sites for the period 1994–2014 and archived air measurements dating from 1978 onward have been used to determine the global growth rate of 1,1-difluoroethane (HFC-152a, CH3CHF2). These observations have been combined with a range of atmospheric transport models to derive global emission estimates in a top-down approach. HFC-152a is a greenhouse gas with a short atmospheric lifetime of about 1.5 years. Since it does not contain chlorine or bromine, HFC-152a makes no direct contribution to the destruction of stratospheric ozone and is therefore used as a substitute for the ozone depleting chlorofluorocarbons (CFCs) and hydrochlorofluorocarbons (HCFCs). The concentration of HFC-152a has grown substantially since the first direct measurements in 1994, reaching a maximum annual global growth rate of 0.84"¯±"¯0.05"¯ppt"¯yr−1 in 2006, implying a substantial increase in emissions up to 2006. However, since 2007, the annual rate of growth has slowed to 0.38"¯±"¯0.04"¯ppt"¯yr−1 in 2010 with a further decline to an annual average rate of growth in 2013–2014 of −0.06"¯±"¯0.05"¯ppt"¯yr−1. The annual average Northern Hemisphere (NH) mole fraction in 1994 was 1.2"¯ppt rising to an annual average mole fraction of 10.1"¯ppt in 2014. Average annual mole fractions in the Southern Hemisphere (SH) in 1998 and 2014 were 0.84 and 4.5"¯ppt, respectively. We estimate global emissions of HFC-152a have risen from 7.3"¯±"¯5.6"¯Gg"¯yr−1 in 1994 to a maximum of 54.4"¯±"¯17.1"¯Gg"¯yr−1 in 2011, declining to 52.5"¯±"¯20.1"¯Gg"¯yr−1 in 2014 or 7.2"¯±"¯2.8"¯Tg-CO2"¯eq"¯yr−1. Analysis of mole fraction enhancements above regional background atmospheric levels suggests substantial emissions from North America, Asia, and Europe. Global HFC emissions (so called “bottom up” emissions) reported by the United Nations Framework Convention on Climate Change (UNFCCC) are based on cumulative national emission data reported to the UNFCCC, which in turn are based on national consumption data. There appears to be a significant underestimate ( > "¯20"¯Gg) of “bottom-up” reported emissions of HFC-152a, possibly arising from largely underestimated USA emissions and undeclared Asian emissions.

© 2016 the authors

The federal tax code provides preferential treatment for the production and use of renewable energy. We report estimates of the subsidies' effects on greenhouse gases (GHG) emissions developed in a recent National Research Council (NRC) Report. Due to lack of estimates of the impact of tax provisions on GHG emissions, new modeling studies were commissioned. The studies found, at best, a small impact of subsidies in reducing GHG emissions; in some cases, emissions increased. The NRC report also identified the need to capture the complex interactions among subsidies, pre-existing regulations, and commodity markets.

Many hydrofluorocarbons (HFCs) that are widely used as substitutes for ozone-depleting substances (now regulated under the Montreal Protocol) are very potent greenhouse gases (GHGs). China’s past and future HFC emissions are of great interest because China has emerged as a major producer and consumer of HFCs. Here, we present for the first time a comprehensive inventory estimate of China’s HFC emissions during 2005–2013. Results show a rapid increase in HFC production, consumption, and emissions in China during the period and that the emissions of HFC with a relatively high global warming potential (GWP) grew faster than those with a relatively low GWP. The proportions of China’s historical HFC CO2-equivalent emissions to China’s CO2 emissions or global HFC CO2-equivalent emissions increased rapidly during 2005–2013. Using the “business-as-usual” (BAU) scenario, in which HFCs are used to replace a significant fraction of hydrochlorofluorocarbons (HCFCs) in China (to date, there are no regulations on HFC uses in China), emissions of HFCs are projected to be significant components of China’s and global future GHG emissions. However, potentials do exist for minimizing China’s HFC emissions (for example, if regulations on HFC uses are established in China). Our findings on China’s historical and projected HFC emission trajectories could also apply to other developing countries, with important implications for mitigating global GHG emissions.

In this study, we couple the Weather Research and Forecasting Model (WRF) with the Advanced Canopy-Atmosphere-Soil Algorithm (ACASA), a high complexity land surface model, to investigate the impact of canopy representation on regional evapotranspiration. The WRF-ACASA model uses a multilayer structure to represent the canopy, consequently allowing microenvironmental variables such as leaf area index (LAI), air and canopy temperature, wind speed and humidity to vary both horizontally and vertically. The improvement in canopy representation and canopy-atmosphere interaction allow for more realistic simulation of evapotranspiration on both regional and local scales. Accurate estimates of evapotranspiration (both potential and actual) are especially important for regions with limited water availability and high water demand, such as California. Water availability has been and will continue to be the most important issue facing California for years and perhaps decades to come. Terrestrial evapotranspiration is influenced by many processes and interactions in the atmosphere and the bio-sphere such as water, carbon, and momentum exchanges. The need to improve representation within of surface-atmosphere interactions remains an urgent priority within the modeling community.

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