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.     

生育政策调整是否会影响我国“碳达峰”目标的实现?——基于STIRPAT和Leslie模型的实证研究

以中国人口生育政策调整为研究背景,基于STIRPAT模型和Leslie模型综合考察中国人口生育政策调整可能对实现“我国二氧化碳排放力争2030年前达到峰值”目标所带来的影响。结果表明,除了经济发展水平、能源技术水平、能源消费结构等因素外,人口年龄结构对人均碳排放也具有显著影响。在论文设置的四种生育率情景下,人口总量峰值分别出现在2025年、2027年、2031年和2027年。若生育政策调整能够有效提高社会总和生育率,人口规模和人口年龄结构的变化会使碳排放总量峰值推后出现。因此,中国逐步放宽的人口生育政策可能会给实现碳达峰目标带来一定压力。     

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。     

Factors affecting electricity generation in China: Current situation and prospects

China has attracted worldwide attention due to the global economic and environmental effects of its rapid economic growth over the last 20 years, with particular attention given to the country's accelerating energy consumption and resulting greenhouse gas emissions. China's electricity sector is particularly important for both of these issues as it accounts for nearly half of its greenhouse gas emissions and even greater proportions of the country's demands for primary fuel resources. In order to better understand how these issues may progress in an economy changing as fast as China's, this paper develops a framework that can be used to help model the electricity sector's future development. The framework builds upon key technological and socio-economic drivers, including those affecting electricity demand (e.g., economic growth, structure, energy efficiency, urbanization, and change in per capita income) and electricity supply (e.g., deregulation, initiatives to promote natural gas, nuclear and renewable energy, air pollution regulations, price developments for coal and natural gas, and changes in generation technology). The framework serves as a foundation for a scenario exercise on the greenhouse gas and fuel consumption impacts of different developmental paths for China's electricity sector. These scenarios and their implications for emissions and fuel consumption are presented in a subsequent article.     

Scenario development in China's electricity sector

The continuing growth of China's electricity sector will affect global environmental and economic sustainability due to its impacts on greenhouse gas emissions and global resource depletion. In 2005, the generation of electricity in China resulted in the emissions of 2290 million metric tonnes of carbon dioxide (approximately 53% of the nation's total) and required 779 million metric tonnes of coal (approximately 50% of China's total coal consumption). These figures are expected to increase with China's economic growth. In order to gauge the range in which fuel consumption and CO₂ emissions could grow a scenario-based conceptual model has been developed by the authors (published in (vol.) of this journal). The application and analysis of this shows that under a business as usual (BAU) scenario, electricity generation could contribute upwards of 56% of China's energy related greenhouse gas emissions by 2020. Meanwhile, consumption of coal will also increase, growing to nearly 60% of total national demand by 2020. However, variations in a number of key drivers could produce significant deviation from the BAU scenario. With accelerated economic output, even with greater technological advances and greater potential to bring natural gas on stream, carbon dioxide emissions would rise 10% above the BAU. Alternatively, in a scenario where China's economy grows at a tempered pace, less investment would be available for advanced technologies, developing natural gas infrastructure, or nuclear energy. In this scenario, reduced economic growth and electricity demand would thereby be countered by reduced efficiency and a higher contribution of coal.     

京津冀能源消费、碳排放与经济增长

运用《2006年IPCC国家温室气体清单指南》中的碳排放核算方法[1],测算2000—2011年京津冀二氧化碳排放量、排放强度、人均排放量和单位面积排放量,从变动趋势、消费结构、相关性和空间分布四个角度分析京津冀的能源消费、碳排放与经济增长。结果表明:京津冀能源消费量和碳排放量在12年间均呈增长趋势;碳排放强度均呈下降趋势;津冀的高排放主要是由以煤炭消费为主的能源结构和以高耗能工业为主的产业结构引起的。碳排放量与能源消费量和经济增长密切相关。在京津冀协同发展背景下,应大力调整产业结构,优化能源结构,建立碳汇合作机制。     

Urbanization and renewable and non-renewable energy consumption in OECD countries: An empirical analysis

This article aims to analyse the impact of urbanization on renewable and non-renewable energy consumption in OECD countries by using the STIRPAT model and data for the period of 1980 to 2011. Demographic factors including total population, urbanization and population density are found to be significant factors, particularly with respect to non-renewable energy consumption. The results also reveal that while total population and urbanization positively influence non-renewable energy consumption, population density has a negative impact on non-renewable energy consumption. From the demographic factors only total population has a significant impact on renewable energy consumption. Granger causality results indicate that there is unidirectional causality from non-renewable energy use to population density in the short run. However, no causal linkage is found between urbanization and non-renewable energy use. Likewise, no causal direction is seen between renewable energy use and any of the demographic factors.     

The determinants of production-related carbon emissions in West Germany, 1985–1990: assessing the role of technology and trade

This paper examines the determinants of the substantial decline of West German production-related carbon intensity in the face of falling energy prices. A computable general equilibrium model is used to determine the simulated effects of observed changes of world energy prices and domestic energy policy on the sectoral patterns of carbon emissions, energy consumption, output, value-added and other indicators of structural change. The structural changes not accounted for by energy prices and energy policy are attributed to changing patterns of productivity growth in Germany and the rest of the world (ROW) and changing patterns of ROW demand. Weights on these driving forces are selected by least squares. One key finding is that the contribution of ROW productivity and demand patterns to emission-relevant structural change unaccounted for by energy prices and energy policy is just under 30%. The remainder is split almost equally among patterns of domestic autonomous energy efficiency improvement and domestic labor efficiency patterns.     

NEGOTIATING A RESPONSE TO CLIMATE CHANGE: ROLE OF BIOLOGICAL EMISSIONS

Researchers have attributed 15 percent of global methane releases to emissions of methane from enteric fermentation in animals (wild and domestic). Bovines contribute approximately two-thirds of this amount. Since methane is a potent greenhouse gas, this source frequently is a target for emission reductions. However, the existing literature overstates the importance of bovine methane as a greenhouse gas by as much as 800 percent. Estimates to date have focused solely on gas emissions, ignoring the biological and chemical cycling that removes carbon from the atmosphere. The analysis presented here demonstrates the importance of these cycles in assessing the overall greenhouse effect of biological methane sources such as rice production, termites, and bovine animals. Ignoring this cycling results in overemphasizing the role of developing countries' total contributions to climate change. In economic terms, the analysis shows that reducing CO2 emissions from energy use in industrialized countries is more efficient than reducing net greenhouse methane from animal sources.     

Economic growth and greenhouse gas emissions

Recent empirical research has examined the relationship between certain indicators of environmental degradation and income, concluding that in some cases an inverted U-shaped relationship, which has been called an environmental Kuznets curve (EKC), exists between these variables. Unfortunately, this inverted U-shaped relationship does not hold for greenhouse gas emissions. One explanation of the absence of EKC-like behavior in greenhouse gas emissions is that greenhouse gases are special pollutants that create global, not local, disutility. But the international nature of global warming is not the only reason that prevents de-linking greenhouse gas emissions from economic growth. The intergenerational nature of the negative impact of greenhouse gas emissions may have also been an important factor preventing the implementation of greenhouse gas abatement measures in the past. In this paper we explore the effect that the presence of intergenerational spillovers has on the emissions–income relationship. We use a numerically calibrated overlapping generations model of climate–economy interactions. We conclude that: (1) the intertemporal responsibility of the regulatory agency, (2) the institutional capacity to make intergenerational transfers and (3) the presence of intergenerationally lagged impact of emissions constitute important determinants of the relationship between economic growth and greenhouse gas emissions.     

Implications of incorporating domestic margins into analyses of energy taxation and climate change policies

In most applied general equilibrium (AGE) analyses, the domestic transportation, wholesaling, and retailing services that facilitate the flow of goods and services from producers to consumers are not identified by commodity or use. Because the margins on energy commodities can be substantial, ignoring these domestic margins has important consequences when analyzing the impacts of policies designed to limit greenhouse gas emissions. This paper incorporates domestic trade and transport margins into the GTAP-E model, which has previously been used to analyze climate change policies. Models that do not explicitly incorporate domestic margins over-estimate the reduction in CO₂ emissions from a given carbon tax or under-estimate the level of a carbon tax needed to achieve a specific abatement target when domestic margins are fixed or when the carbon tax is treated as a consumption tax with variable domestic margins. However, this result can be reversed when the carbon tax is treated as an output tax with variable domestic margins.     

Demographic change and income tax revenues – results from a large microsimulation model for Germany

Similarly to many other European countries, Germany has experienced a considerable demographic shift since the 1970s: higher life expectancy and diminishing birth rates, only partly balanced by immigration, have led to an altered population structure with an increasing share of elderly people. In the next decades, population aging in Germany will accelerate and also induce a decline of the total population. These demographic changes can be expected to have a profound impact on the governmental budget. While shifts in public expenditures have been forecasted regularly since 2005, the revenue side has received less attention to date. We study the long-term (2015–2060) shifts in income tax revenues induced by demographic change. Our aim is to quantify possible fiscal effects of demographic change using microsimulation and to identify elements of the income tax code particularly affected. We find the expected demographic changes to have a clear negative impact on income tax revenues. Population aging increases the impact of various deductibility rules on total income tax revenues, in particular the impact of the deductibility of old-age and health insurance provisions. The impact of the deductibility of exceptional expenses such as expenses for caregiving also increases, but remains small overall. Due to expected increases in real incomes, however, demographic change does not imply an absolute drop in income tax revenues in the next decades.     

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 environmental effect of car-free housing: A case in Vienna

A case-control study of the car-free model housing project in Vienna was conducted to evaluate whether people living in this settlement have more ‘sustainable lifestyles’ than people living in comparable buildings in Vienna. Another aim was to identify the lifestyle characteristics and household activities which significantly influence the environmental impact of the residents of the car-free housing project and a control group. The control group, referred to as the reference settlement, was chosen from a nearby building complex, with similar characteristics, but without the car-free feature. Household consumption patterns were estimated based on interviews in combination with data from the Austrian consumer expenditure survey and the national accounts. The evaluation of household environmental impacts uses emissions estimates from the Austrian national accounting matrices including environmental accounts and data from life-cycle assessments. Households from the car-free settlement have substantially lower environmental impacts in the categories of ground transportation and energy use; their CO₂ emissions of these two categories are less than 50% of those living in the reference settlement. The households in the car-free settlement have somewhat higher emissions in the categories air transport, nutrition, and ‘other’ consumption, reflecting the higher income per-capita. As a result, the CO₂ emissions are only slightly lower than in the reference settlement, but the emissions intensity is 20% lower. Both household groups have significantly lower environmental impacts than the Austrian average reflecting less car use and cleaner heating energy in Vienna.     

The private and social consequences of purchasing an electric vehicle and solar panels: Evidence from California

Rising greenhouse gas emissions raise the risk of severe climate change. The household sector׳s greenhouse gas emissions have increased over time as more people drive gasoline cars and consume electricity generated using coal and natural gas. The household sector׳s emissions would decline if more households drove electric vehicles and owned solar panels. In recent years automobile manufacturers have been producing high-performance electric vehicles, and solar panels are becoming more efficient and less expensive. Using several data sets from California, we document evidence of the growth of the joint purchase of electric and hybrid vehicles and solar panels. We discuss pricing and quality trends for these green durable goods.     

低碳生活的新工具——碳标签

气候变化问题不仅是全球环境问题,更是人类可持续发展的问题。作为一种将产品生命周期中造成的温室气体排放量标识出来的方法——碳标签,直接影响需求端和供给端,转变大众的消费模式,形成低碳生活的新工具。对国际碳标签的发展进行梳理,并对我国的碳标签制度进行探讨,以期为我国低碳经济的可持续发展提供政策和理论依据。     

An analysis of China's climate policy using the China-in-Global Energy Model

The primary approach to address climate change in China has been the use of CO₂ intensity targets coupled with targets for low carbon energy deployment. We evaluate the impact of extending similar targets through 2050 on China's energy use profile and CO₂ emissions trajectory using the China-in-Global Energy Model (C-GEM). The C-GEM is a global computable equilibrium model that includes energy and economic data provided by China's statistical agencies, calibration of savings, labor productivity, and capital productivity dynamics specific to China's stage of development, and regional aggregation that resolves China's major trading partners. We analyze the combined impact of extending CO₂ intensity targets, implemented via a cap-and-trade program, and low carbon energy policies (directives for nuclear power expansion and feed-in tariffs for wind, solar, and biomass energy) through 2050. Although with the policy, simulated CO₂ emissions are around 43% lower in 2050 relative to a reference (No Policy) counterfactual, China's CO₂ emissions still increase by over 60% between 2010 and 2050. Curbing the rise in China's CO₂ emissions will require fully implementing a CO₂ price, which will need to rise to levels higher than $25/ton in order to achieve China's stated goal of peaking CO₂ emissions by 2030.     

Determinants of pro-environmental consumption: The role of reference groups and routine behavior

This paper investigates the determinants of pro-environmental consumption, focusing on the role of reference groups and routine behavior. We study the factors that explain whether or not people have installed residential solar energy equipment or have subscribed to green-electricity programs, and the factors that influence the intensity of buying organic food. In addition to demographic characteristics and environmental attitudes, we consider the following categories of determinants: economic and cognitive factors (income, estimated price premium, level of information on environmentally-friendly goods); consumption patterns of reference persons; own consumption patterns in the past. Using a unique data set from a survey conducted in the region of Hanover, Germany, we find the following: (1) Economic and cognitive factors are significant covariates of all three kinds of pro-environmental consumption. Their influence is greatest in the case of green electricity. (2) Consumption patterns of reference persons are significant covariates of all three kinds of pro-environmental consumption. Their influence is greatest in the case of organic food. (3) The intensity of buying organic food is greater the longer people have been consumers of these goods.     

Economy-wide Estimates of the Implications of Climate Change: Sea Level Rise

The economy-wide implications of sea level rise in 2050 are estimated using a static computable general equilibrium model. This allows for a better estimate of the welfare effects of sea level rise than the common direct cost estimates; and for an estimate of the impact of sea level rise on greenhouse gas emissions. Overall, general equilibrium effects increase the welfare costs of sea level rise, but not necessarily in every sector or region. In the absence of coastal protection, economies that rely most on agriculture are hit hardest. Although energy is substituted for land, overall energy consumption falls with the shrinking economy, hurting energy exporters. With full coastal protection, GDP increases, particularly in regions with substantial dike building, but utility falls, least in regions that protect their coasts and export energy. Energy prices rise and energy consumption falls. The costs of full protection exceed the costs of losing land. The results also show direct costs – the usual method for estimating welfare changes due to sea level rise – are a bad approximation of the general equilibrium welfare effects; previous estimates of the economic impact of sea level rise are therefore biased.      

旅游线路产品能源消耗及二氧化碳排放量估算方法及实证分析

旅游业节能减排目标的实现需落实到旅游企业、旅游者的推广与实践方能实现。旅游线路一直是旅游市场的主力产品,然而对其能源消耗及CO2排放的评估却是空白。基于碳排放理论及游客消费特征,提出其能源消耗和CO2排放估算模型。以三种海南旅游产品为例,计算并分析各线路的能源消耗及CO2排放量。结果表明:各产品能源消耗及CO2排放量从大到小依次是行、食、住、游、购、娱;交通方式、从客源地到目的地距离、产品结构及能源类型是影响其能源消耗及排放量结构的主要因素;旅游活动产生的温室气体不容忽视;旅游业面临节能减排的压力。