Meeting the demand: An estimation of potential future greenhouse gas emissions from meat production

Current production processes for meat products have been shown to have a significant impact on the environment, accounting for between 15% and 24% of current greenhouse gas emissions. Meat consumption has been increasing at a fantastic rate and is likely to continue to do so into the future. If this demand is to be met, technology used in production in the form of Confined Animal Feeding Operations (CAFOs) will need to be expanded. This paper estimates future meat consumption and discusses the potential aggregate environmental impact of this production if the use of CAFOs is expanded. I first separate meat into beef, chicken and pig products and estimate the elasticities associated with each product in order to forecast the world demand for meat. Using research on the environmental impact of food production in the US, which uses one of the most efficient CAFO processes in the world, I then calculate the total potential greenhouse emissions of this meat production and discuss the impact of these consumption patterns. I find that, under an expanded CAFO system, meat production in the future will still be a large producer of greenhouse gases, accounting for up to 6.3% of current greenhouse gas emissions in 2030.     

Probabilistic temperature change projections and energy system implications of greenhouse gas emission scenarios

This paper explores the implications for global average temperature change of a set of reference and mitigation scenarios in a probabilistic framework. First, we use published probability density functions for climate sensitivity to investigate the likelihood of achieving targets expressed as levels or rates of global average temperature change. We find, for example, that limiting warming to 3 C above pre-industrial levels with at least a medium likelihood requires cumulative emissions reductions on the order of 30-60% below one unmitigated reference scenario by 2100, while a more favorable baseline scenario requires no reductions at all to achieve this outcome with the same likelihood. We further conclude that the rate of temperature change may prove to be more difficult to control, especially if most of the mitigation effort is postponed until later in the century. Rate of change targets of 0.1–0.2 °C/decade are unlikely to be achieved by a target for the long-term level of climate change alone. Second, we quantify relationships between mitigation costs and the likelihood of achieving various targets and show how this depends strongly on the reference scenario. Third, we explore relationships between medium-term achievements and long-term climate change outcomes. Our results suggest that atmospheric concentrations and the share of zero-carbon energy in the middle of the 21st century are key indicators of the likelihood of meeting long-term climate change goals cost-effectively. They also suggest that interim targets could be an effective means of keeping long-term target options open. Our analysis shows that least-cost mitigation strategies for reaching low climate change targets include a wide portfolio of reduction measures. In particular, fundamental long-term structural changes in the energy system in these scenarios are a necessary but not sufficient condition to achieve high likelihoods for low temperature targets. The cost-effective portfolio of emissions reductions must also address demand-side measures and include mitigation options in the industry, agriculture, and the forest sector.     

Optimal greenhouse gas emissions under various assessments of climate change ambiguity

The probabilities associated with global warming damage are likely to be continuously revised in the light of new information. Such revisions of probability are the defining characteristic of ambiguity, as opposed to risk. This paper examines how climate change ambiguity may affect optimal greenhouse gas emission strategies, via the decision maker's attitude towards anticipated changes of damage probabilities. Two conceptualizations of ambiguity are distinguished, according to the emphasis placed on the ambiguity of priors or on the ambiguity of news, respectively. It is shown that the way in which ambiguity is viewed and the attitude taken towards it have a substantial influence on the optimal emission trajectory.     

Marginal abatement costs of greenhouse gas emissions from European agriculture, cost effectiveness, and the EU non-ETS burden sharing agreement

We propose a quantitative assessment of the marginal abatement costs (MAC) of greenhouse gas emissions from European agriculture and analyze the implications of the non-ETS burden-sharing agreement (BSA) for this sector. This assessment is based on MAC reduced forms, the generic specification of which enables simple parameterization and numerical computations. Such MAC curves are parameterized for each Member State using the outputs of a detailed model of the European agricultural supply. They are then used to compute total and marginal abatement costs involved by the BSA targets, as well as the cost-effective effort sharing, the corresponding emission price and abatement costs. The main findings are: (i) flexibility mechanisms such as a cap-and-trade system for agricultural emissions could reduce the total costs of meeting the 10% EU abatement target by a factor two to three relative to the strict implementation of each country's target, (ii) the corresponding equilibrium emission price is found to be 32-42 €/tCO₂eq depending on the assumption regarding business-as-usual emissions, and (iii) a cap-and-trade system with allowances based on the BSA targets would involve substantial transfers from EU-15 countries to New Member States, an important share of which being made of ‘hot air’.     

The opportunity cost of land use and the global potential for greenhouse gas mitigation in agriculture and forestry

This paper analyses the role of global land management alternatives in determining potential greenhouse gas mitigation by land-based activities in agriculture and forestry. Land-based activities are responsible for over a third of global greenhouse gas emissions, yet the economics of land-use decisions have not been explicitly modeled in global mitigation studies. In this paper, we develop a new, general equilibrium framework which effectively captures the opportunity costs of land-use decisions in agriculture and forestry, thereby allowing us to analyse competition for heterogeneous land types across and within sectors, as well as input substitution between land and other factors of production. When land-using sectors are confronted with a tax on greenhouse gas emissions, we find significant changes in the global pattern of comparative advantage across sectors, regions, and land types. Globally, we find that forest carbon sequestration is the dominant strategy for GHG emissions mitigation, while agricultural-related mitigation comes predominantly from reduced methane emissions in the ruminant livestock sector, followed by fertilizer and methane emissions from paddy rice. Regionally, agricultural mitigation is a larger share of total land-use emissions abatement in the USA and China, compared to the rest of the world, and, within agriculture, disproportionately from reductions in fertilizer-related emissions. The results also show how analyses that only consider regional mitigation, may bias mitigation potential by ignoring global market interactions. For example, USA-specific analyses likely over-estimate the potential for abatement in agriculture. Finally, we note that this general equilibrium framework provides the research community with a practical methodology for explicit modeling of global land competition and land-based mitigation in comprehensive assessments of greenhouse gas mitigation options.     

Trends in energy consumption and carbon dioxide emissions of passenger cars and buses

In this work we develop aggregate car ownership and bus fleet models in order to forecast and compare fuel consumption and CO₂ emissions from passenger cars and buses. Greece was selected as a case study, being a country fairly representative of lower-income Mediterranean and Eastern European countries and data were collected for the period 1970 to 2002. Percent adults in the population, per capita gross domestic product, inflation, unemployment, car occupancy and bus kilometers were predictors included in the car ownership and bus fleet multiple regression models. A shift in the overall trend of both models around 1995 was explained as a slope change of per capita gross domestic product, possibly reflecting the impact of a boom of the Greek Stock Market along with a retirement program for older vehicles. Predictor variables were forecast via Box-Jenkins and the models were subsequently used to develop car ownership and bus fleet forecasts to the year 2010. We predict that the contribution of cars to total CO₂ emissions will rise to an astounding 95% of total CO₂ emissions from road passenger transport (excluding taxis and mopeds), an effect expected in other Mediterranean and Eastern European countries with socioeconomic characteristics similar to Greece. Suggestions for further research include developing regional car ownership forecasts in order to compare the dynamics of different regions within a country and looking into other land transportation means (such as mopeds, taxicabs and railway).     

The economic impact of shale gas extraction: A review of existing studies

Recent advances in drilling technology have allowed for the profitable extraction of natural gas from deep underground shale rock formations. Several reports sponsored by the gas industry have estimated the economic effects of the shale gas extraction on incomes, employment, and tax revenues. None of these reports has been published in an economics journal and therefore have not been subjected to the peer review process. Yet these reports may be influential to the formation of public policy. This commentary provides written reviews of several studies purporting to estimate the economic impact of gas extraction from shale beds. Due to questionable assumptions, the economic impacts estimated in these reports are very likely overstated.     

气候变化对德国农业的影响与相关对策

本文分析和研究了气候变化对德国农业和林业的正反两方面的影响,肯定了德国农业和林业对气候保护、减少温室气体排放的积极作用。阐述了德国为减少温室气体排放采取的相应措施,如改进传统农业,扩大现代农业,大力生产可再生长原料,促进可再生能源的利用。这些做法对我国发展现代农业,促进农业和林业领域节能减排具有积极的参考作用。     

PowerPlay: Exploring decision making behaviors in energy efficiency markets

Computer models are widely used to analyze decisions about energy efficiency improvements in the residential and commercial sectors. Few models exist that can actually be run interactively by decision makers to play out alternative future scenarios. None are available that interactively capture the dynamics, subtleties and complexities of interdependent decisions by utilities, households and firms in an ever-changing technological and economic environment.This paper presents the features and experiences of PowerPlay, a computer-facilitated game which fills that gap and does more: it is a game to be played by at least a dozen player groups who interact with each other, make deals (or break them), plan for the future and revise decisions. The computer model functions like a game board to trace actions and offer choices. The observed behaviors can be analyzed to advance understanding of investment strategies and consumer choices; to generate experimentally-based data on energy efficiency changes; and to provide the basis for analyses that can substantiate or complement historical, time-series driven specifications of energy models.     

Technological change in energy systems: Learning curves, logistic curves and input-output coefficients

Learning curves have recently been widely adopted in climate-economy models to incorporate endogenous change of energy technologies, replacing the conventional assumption of an autonomous energy efficiency improvement. However, there has been little consideration of the credibility of the learning curve. The current trend that many important energy and climate change policy analyses rely on the learning curve means that it is of great importance to critically examine the basis for learning curves. Here, we analyse the use of learning curves in energy technology, usually implemented as a simple power function. We find that the learning curve cannot separate the effects of price and technological change, cannot reflect continuous and qualitative change of both conventional and emerging energy technologies, cannot help to determine the time paths of technological investment, and misses the central role of R&D activity in driving technological change. We argue that a logistic curve of improving performance modified to include R&D activity as a driving variable can better describe the cost reductions in energy technologies. Furthermore, we demonstrate that the top-down Leontief technology can incorporate the bottom-up technologies that improve along either the learning curve or the logistic curve, through changing input-output coefficients. An application to UK wind power illustrates that the logistic curve fits the observed data better and implies greater potential for cost reduction than the learning curve does.     

The impacts of weather variations on energy demand and carbon emissions

This paper examines the impacts of climate fluctuations on carbon emissions using monthly models of US energy demand. The econometric analysis estimates price, income, and weather elasticities of short-run energy demand. Our model simulations suggest that warmer climate conditions in the US since 1982 slightly reduced carbon emissions in the US. Lower energy use associated with reduced heating requirements offsets higher fuel consumption to meet increased air-conditioning needs. The analysis also suggests that climate change policies should allow some variance in carbon emissions due to short-term weather variations.     

Dynamics of the UK natural gas industry: System dynamics modelling and long-term energy policy analysis

We present a dynamic model of the indigenous natural gas industry in the UK. The model has been built using a system dynamics approach. Using the model several scenarios have been analyzed. We found that management of the supply-side policy alone cannot substantially postpone the discovery, production and consumption peak. We also found that the dynamics of the main variables, namely, exploration, production and consumption, are sensitive to initial demand conditions. Postponing the onset of gas price increases can therefore be achieved more effectively through efforts to reduce demand growth. One might expect that a low taxation policy would encourage more exploration and production of gas and thereby stimulate higher consumption rates. Instead, there was no overall net effect on production and consumption in the long term. The depletion effect on cost of exploration acts as counterbalance to low taxation policy. Depletion effect causes cost and thus price to rise further which depress consumption rate. The advances in exploration and production technology can delay the peak of exploration, production and consumption. Technological improvements mean lower cost of exploration and production which pressure down the long-term pattern of price dynamics.     

The internalization of externalities in the production of electricity: Willingness to pay for the attributes of a policy for renewable energy

This paper investigates the willingness to pay of a sample of residents of Bath, England, for a hypothetical program that promotes the production of renewable energy. Using choice experiments, we assess the preferences of respondents for a policy for the promotion of renewable energy that: (i) contributes to the internalization of the external costs caused by fossil fuel technologies; (ii) affects the short-term security of energy supply; (iii) has an impact on the employment in the energy sector; and (iv) leads to an increase in the electricity bill. Responses to the choice questions show that our respondents are in favour of a policy for renewable energy and that they attach a high value to a policy that brings private and public benefits in terms of climate change and energy security benefits. Our results therefore suggest that consumers are willing to pay a higher price for electricity in order to internalize the external costs in terms of energy security, climate change and air pollution caused by the production of electricity.     

双碳发展对我国的影响及应对策略

近年来二氧化碳排放持续快速增长,全球气候变暖已成不争事实.国际社会为共同应对气候变化做出了积极努力,截至2020年底,全球已有40余个国家和经济体正式宣布了碳中和目标.我国化石能源消费和二氧化碳排放持续增长,占全球比重逐步升高,为提升发展质量,彰显大国责任,需要积极科学推动碳达峰碳中和工作.同时,双碳发展将对我国经济社会产生重要深远影响,能源结构、产业布局将发生深刻调整.面对重大机遇挑战,应以战略性思维统筹推进双碳工作,找准发力点,分阶段稳步实施,努力实现经济社会高质低碳创新发展.     

AGE analysis of the impact of a carbon energy tax on the Irish economy

A computable general equilibrium model with specific detail in taxation and energy use is developed in this paper to quantify the impact of the implementation of energy taxation to reduce carbon dioxide emissions in Ireland. Benchmark data combining physical energy and emissions data and economic data in the form of a Social Accounting Matrix (SAM) had to be compiled from various data sources, because energy and pollution accounts from the SEEA are not available for Ireland. We find that the reduction target for energy related CO₂ emissions in Ireland of 25.8% compared to 1998 levels can be achieved with a carbon energy tax of 10-15 euros per tonne of CO₂. Though fuel switching is important in meeting the target, this result is more sensitive to the possibilities for producers to substitute away from energy use. Welfare would fall but only by small percentages. Production and consumption patterns would change more significantly, with a shift in demand from fuels with a high emission factor to energy sources with a lower carbon-intensity and from energy to other commodities. This paper confirms that a carbon energy tax leads to greater emission reductions than an equivalent uniform energy tax. The latter has a stronger negative impact on the less polluting energy sectors whereas the carbon tax greatly stimulates the use of renewable energy and reduces the use of peat and coal. The new SAM, the model and the application to energy taxes contribute to a better informed debate on environmental policy in Ireland.     

The effect of ESCOs on carbon dioxide emissions

Proponents of energy service companies (ESCOs) argue that these firms provide a crucial instrument for delivering improved energy efficiency in public and private sectors, thus contributing to carbon dioxide (CO₂) emission reduction around the world. Do ESCOs reduce CO₂ emissions? To answer this question, we develop an estimating equation, which approximates the IPAT model, from a simple model of production. We estimate a dynamic panel of 129 countries over the period 1980–2007 to show that the ESCOs effectively reduce CO₂ emissions and that this effect increases over time. These findings also prove robust to the inclusion of a set of control variables, different dates of the first ESCO and the Kyoto Protocol. Finally, we discuss energy policy implications.     

Measurement and communication of greenhouse gas emissions from U.S. food consumption via carbon calculators

Food consumption may account for upwards of 15% of U.S. per capita greenhouse gas emissions. Online carbon calculators can help consumers prioritize among dietary behaviors to minimize personal “carbon footprints,” leveraging against emissions-intensive industry practices. We reviewed the fitness of selected carbon calculators for measuring and communicating indirect GHG emissions from food consumption. Calculators were evaluated based on the scope of user behaviors accounted for, data sources, transparency of methods, consistency with prior data and effectiveness of communication. We found food consumption was under-represented (25%) among general environmental impact calculators (n = 83). We identified eight carbon calculators that accounted for food consumption and included U.S. users among the target audience. Among these, meat and dairy consumption was appropriately highlighted as the primary diet-related contributor to emissions. Opportunities exist to improve upon these tools, including: expanding the scope of behaviors included under calculations; improving communication, in part by emphasizing the ecological and public health co-benefits of less emissions-intensive diets; and adopting more robust, transparent methodologies, particularly where calculators produce questionable emissions estimates. Further, all calculators could benefit from more comprehensive data on the U.S. food system. These advancements may better equip these tools for effectively guiding audiences toward ecologically responsible dietary choices.     

The impact of restructuring and deregulation on gas rates

This article evaluates the impact of consumer choice programs, price caps, and sliding scale plans on consumer prices of gas using a custom survey of public service commissions and data from the Department of Energy. A seemingly unrelated regressions model estimates residential, commercial and industrial prices jointly, controlling for potentially endogenous demand. Consumer choice programs are estimated to lower residential and commercial prices significantly, by bringing competition to markets with smaller consumers. Prices fall even before deregulation as utilities build consumer loyalty and fight competition. Sliding scale plans are estimated to lower prices of small consumers while raising industrial prices. Price caps lead to overall higher prices, with unclear ranking across consumer classes.      

Economic and environmental performance of wastewater treatment plants: Potential reductions in greenhouse gases emissions

Sanitation and wastewater treatment are essential for protecting human health and environmental sustainability. Treatment processes are not free of environmental impacts; consequently assessment of the environmental performance of wastewater treatment plants (WWTPs) has gained interest in recent years. Unlike other methods, a direct approach is followed to estimate environmental performance indicators (EPIs) using data envelopment analysis (DEA), i.e. an index of overall performance is directly obtained. The present study represents pioneering work to integrate environmental impacts in the assessment of the efficiency of WWTP estimating pure (PEPI) and mixed (MEPI) environmental performance indices for a sample of 60 Spanish WWTPs. Both direct and indirect greenhouse gas (GHG) emissions were considered as undesirable outputs. The best functioning WWTPs to be used as references were identified, and the potential for GHG reductions was quantified. A second-stage analysis was conducted to isolate factors affecting WWTP environmental performance. The results of this study are valuable for WWTP operators and policy makers, since the benchmark procedure allows support for environmental and managerial decision-making.     

Evaluating the effects of embodied energy in international trade on ecological footprint in China

Based on sub-sectoral level of economy and detailed traded items, embodied energy (EE) in international trade flow in China is estimated during 1996-2004, and the effects of EE on sustainability are quantified by using one of the most popular indicators—Ecological footprint (EF). A framework of EF method, which is more relevant to realism of specific country, is proposed in this paper. The results show that China is a net importer of EE during the period covered by this study except for the year from 1997 to 1999. Imported, Exported and Net imported EE tends to increase sharply along time series. Net imported energy would increase 38% and energy consumption would increase 2.8% in 2004 if EE were taken into account. Footprint_energy is the most important part of EF components and is significantly affected by EE, and the effects of EE on EF are similar to that of Footprint_energy. Footprint_energy, EF and ecological deficit of 2004 will be underestimated about 2.92%, 1.36%, 2.83%, res pectively, if EE is not taken into the national energy budget. Continuous increase of EF and ecological deficit along time series indicates that China is moving away from sustainability. 1.47 times Chinese territories are accurately occupied by China in 1996 while 1.71 times in 2004. Obviously unsustainability procedure of China is accelerated by EE. The contribution of EE to EF and ecological deficit is small in absolute terms expressed in per capita, but the effects on whole nation are huge if the population of China multiplies them. To curb the increase of EF and ecological deficit and to achieve the goal of sustainability, some policy and measures are also proposed.