Regional Analysis

This study estimates of the impact of climate change on yields for the four most commonly grown crops (millet, maize, sorghum and cassava) in Sub-Saharan Africa (SSA). A panel data approach is used to relate yields to standard weather variables, such as temperature and precipitation, and sophisticated weather measures, such as evapotranspiration and the standardized precipitation index (SPI). The model is estimated using data for the period 1961-2002 for 37 countries. Crop yields through 2100 are predicted by combining estimates from the panel analysis with climate change predictions from general circulation models (GCMs). Each GCM is simulated under a range of greenhouse gas emissions (GHG) assumptions. Relative to a case without climate change, yield changes in 2100 are near zero for cassava and range from –19% to +6% for maize, from –38% to –13% for millet and from –47% to –7% for sorghum under alternative climate change scenarios.

© 2012 SciRes

We investigate the effect of climate change on crop productivity in Africa using satellite derived data on land use and net primary productivity (NPP) at a small river basin scale, distinguishing between the impact of local and upper-catchment weather. Regression results show that both of these are determining factors of local cropland productivity. These estimates are then combined with climate change predictions obtained from two general circulation models (GCMs) under two greenhouse gas emissions (GHG) assumptions to evaluate the impact of climate change by 2100. For some scenarios significant decreases are predicted over the northern and southern parts of Africa.

© 2012 Springer Science+Business Media Dordrecht

We use an economy-wide model to estimate the impact of a representative climate policy on fuel prices and economic activity, and a partial equilibrium model of the aviation industry to estimate changes in aviation carbon dioxide emissions and operations. Between 2012 and 2050, with reference demand growth benchmarked to ICAO/GIACC (2009) forecasts, we find that aviation emissions increase by 130 per cent. In our policy scenarios, emissions increase by between 103 per cent and 123 per cent. Under the assumptions in our analysis, aviation contributes to climate policy targets by funding emissions reductions in sectors with less costly abatement options.

© 2013 Journal of Transport Economics and Policy

We estimate the impact of additional costs imposed on airlines by the European Union (EU) Emissions Trading System (ETS) on tourist arrivals in 26 Caribbean states. At an EU emission allowance price of €10, we find that the policy will, on average, increase return airfares from Europe to the Caribbean by $17 for indirect flights and $21 for direct flights. These price changes reduce region-wide arrivals to the Caribbean from the EU by between 1.4% and 2%, and decrease total arrivals (from all regions) by less than 0.4%. The decrease in total arrivals is the largest for Martinique (1.7%), and relatively large decreases are also predicted for Antigua and Barbuda, Bonaire, Barbados, Curacao, and Suriname. We conclude that the EU ETS will have a moderate impact on visitor arrivals relative to the United Kingdom's Air Passenger Duty (APD) and the European financial crisis.

© 2013 Sage Journals

We estimate the economic impacts on US airlines that may arise from the inclusion of aviation in the European Union Emissions Trading Scheme from 2012 to 2020. We find that the Scheme would only have a small impact on US airlines and emissions, and that aviation operations would continue to grow. If carriers pass on all additional costs, including the opportunity costs associated with free allowances, to consumers, profits for US carriers will increase. Windfall gains from free allowances may be substantial because, under current allocation rules, airlines would only have to purchase about a third of the required allowances. However, an increase in the proportion of allowances auctioned would reduce windfall gains and profits for US airlines may decline.

Between 2005 and 2012, U.S. natural gas production from ultra-low permeability hydrocarbon-prone mud rock formations, often referred to as the “shale resource”, increased 20-fold to more than 570 Mm3 per day, and now accounts for ≈33% of total U.S. gas output. These developments have had a profound impact on the U.S. energy sector. Despite it’s rapid rise, the exploitation of the shale resource is still in it nascency, and knowledge of the precise production mechanisms remains limited. A consequence of this is that the accurate economic characterization of the resource remains difficult. This paper examines spatial and temporal trends in the productivity of contemporary horizontal, hydraulically fractured wells within and between the major U.S. shale plays.

© 2013 Springer-Verlag Berlin Heidelberg

Australia’s wind resource is considered to be very good, and the utilization of this renewable energy resource is increasing rapidly: wind power installed capacity increased by 35% from 2006 to 2011 and is predicted to account for over 12% of Australia’s electricity generation in 2030. Due to this growth in the utilization of the wind resource and the increasing importance of wind power in Australia’s energy mix, this study sets out to analyze and interpret the nature of Australia’s wind resources using robust metrics of the abundance, variability and intermittency of wind power density, and analyzes the variation of these characteristics with current and potential wind turbine hub heights. We also assess the extent to which wind intermittency, on hourly or greater timescales, can potentially be mitigated by the aggregation of geographically dispersed wind farms, and in so doing, lessen the severe impact on wind power economic viability of long lulls in wind and power generated. Our results suggest that over much of Australia, areas that have high wind intermittency coincide with large expanses in which the aggregation of turbine output does not mitigate variability. These areas are also geographically remote, some are disconnected from the east coast’s electricity grid and large population centers, which are factors that could decrease the potential economic viability of wind farms in these locations. However, on the eastern seaboard, even though the wind resource is weaker, it is less variable, much closer to large population centers, and there exists more potential to mitigate it’s intermittency through aggregation. This study forms a necessary precursor to the analysis of the impact of large-scale circulations and oscillations on the wind resource at the mesoscale.

© 2014 Hallgren et al.

We explore short- and long-term implications of several energy scenarios of China’s role in efforts to mitigate global climate risk. The focus is on the impacts on China’s energy system and GDP growth, and on global climate indicators such as greenhouse gas concentrations, radiative forcing, and global temperature change. We employ the MIT Integrated Global System Model (IGSM) framework and its economic component, the MIT Emissions Prediction and Policy Analysis (EPPA) model. We demonstrate that China’s commitments for 2020, made during the UN climate meetings in Copenhagen and Cancun, are reachable at very modest cost. Alternative actions by China in the next 10 years do not yield any substantial changes in GHG concentrations or temperature due to inertia in the climate system. Consideration of the longer-term climate implications of the Copenhagen-type of commitments requires an assumption about policies after 2020, and the effects differ drastically depending on the case. Meeting a 2°C target is problematic unless radical GHG emission reductions are assumed in the short-term. Participation or non-participation of China in global climate architecture can lead by 2100 to a 200–280 ppm difference in atmospheric GHG concentration, which can result in a 1.1°C to 1.3°C change by the end of the century. We conclude that it is essential to engage China in GHG emissions mitigation policies, and alternative actions lead to substantial differences in climate, energy, and economic outcomes. Potential channels for engaging China can be air pollution control and involvement in sectoral trading with established emissions trading systems in developed countries.

In recent decades, the largest increase of surface air temperature and related climate extremes have occurred in northern Eurasia. This temperature increase and extreme climate change are projected to continue during the 21st century according to climate models. The changing climate is likely to affect land cover and the biogeochemical cycles in the region. These changes in biogeography and biogeochemistry, in turn, will affect how land use evolves in the future as humans attempt to mitigate and adapt to future climate change. Regional land-use changes, however, also depend on pressures imposed by the global economy. Feedbacks from future land-use change will further modify regional and global biogeochemistry and climate. Using a suite of linked biogeography, biogeochemical, economic, and climate models, we explore how climate-induced vegetation shifts in Northern Eurasia influences land-use change and carbon cycling across the globe during the 21st century. We find that, by the end of the 21st century, the vegetation shift due to climate is a more important factor than the climate itself in driving land use change in Northern Eurasia. While climate policy appears to have little influence on the cumulative release of about 20 Pg C from Northern Eurasia over the 21st century, the redistribution of global land use causes the terrestrial biosphere to sequester less carbon (43 Pg C) with implementation of a climate policy than without a policy (65 Pg C). The vegetation shift in Northern Eurasia induced from changing climate and demands of global economic growth significantly affect both regional and global land use and decreases carbon sink activities at both regional and global scales.

Wind generation has been growing fast, with onshore wind having a 27% average annual growth rate over the past decade. Motivated by this growth, a comprehensive analysis of both the economic and engineering implications of a large wind penetration in power systems was conducted.

In order to understand and capture the unique characteristics of wind generation different tools and methods were combined. First, an analysis of hourly wind and load profiles was completed for individual European countries and for the whole European region. Then, a detailed electricity model was used in order to capture the effects of a large wind penetration (up to 60% of total demand) on the power system. Finally, this information was integrated in a computable general equilibrium (CGE) model, the MIT EPPA model—a tool for analyzing the economy-wide implications of energy and climate policies. Based on the bottom-up modeling results, a new methodology for capturing wind intermittency in EPPA, through modeling system flexibility requirements at large wind penetration levels, was proposed. As a case study, a 40% and an 80% GHG emissions reduction scenarios by 2050 (relative to 1990 levels) were modeled for Europe.

The analysis illustrates that, in order to mitigate wind intermittency, particularly for large wind penetration levels, a system needs to have enough flexible capacity installed—traditionally provided by gas or hydro technologies. However, it is shown that for a significant emissions reduction scenario (80% GHG reduction in Europe by 2050), providing this flexibility from the generation side might be challenging as low-cost, low-carbon, flexible, dispatchable technological options might be limited. This might impose a constraint on the total electricity use and on the growth of wind penetration. Thus, the importance of considering other options for providing flexibility in the system, such as storage, demand response or interconnections is displayed. In particular, the wind and load profile analysis indicates a high value of interconnecting wind farms in the European region.

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