Greenhouse gas abatement policies and the value of carbon sinks: Do grazing and cropping systems have different destinies?

This paper presents a case study in which the effects of agri-environmental policy on two Mediterranean-type farming systems, grazing dominant and cropping dominant, are contrasted. Two greenhouse gas abatement policies are examined; an emissions taxation policy and an emissions restrictions policy. The study seeks to determine firstly, how the policy impacts on the farming systems, and from that, how the nature of the farming systems impact on the effectiveness of the policy. It is shown that relative costs of abatement are higher for the grazing-dominant farming system. However, in the absence of technological change to aid abatement, the cost of substitution from high emitting enterprises, such as livestock, to low emitting enterprises, such as crop production, will determine the cost of abatement. For both farming systems the restriction policy is found to be more effective and economically efficient than the taxation policy. The analysis found that crediting trees as carbon sinks can significantly reduce the costs of abatement. At predicted emissions permit prices, trees would be adopted by both farming systems to offset farm greenhouse gas emissions.     

Geographically explicit global modeling of land-use change, carbon sequestration, and biomass supply

This study aims to determine whether carbon sequestration policies could present a significant contribution to the global portfolio of climate change mitigation options. The objective is to model the effects of policies designed to induce landowners to change land use and management patterns with a view to sequester carbon or to reduce deforestation. The approach uses the spatially explicit Dynamic Integrated Model of Forestry and Alternative Land Use (DIMA) to quantify the economic potential of global forests. The model chooses which of the land-use processes (afforestation, reforestation, deforestation, or conservation and management options) would be applied in a specific location, based on land prices, cost of forest production and harvesting, site productivity, population density, and estimates of economic growth. The approach is relevant in that it (1) couples a revised and updated version of the Special Report on Emissions Scenarios with the dynamic development of climate policy implications through integration with the Model for Energy Supply Strategy Alternatives and their General Environmental Impact (MESSAGE); (2) is spatially explicit on a 0.5° grid; and (3) is constrained by guaranteeing food security and land for urban development. As outputs, DIMA produces 100-year forecasts of land-use change, carbon sequestration, impacts of carbon incentives (e.g., avoided deforestation), biomass for bioenergy, and climate policy impacts. The modeling results indicate that carbon sequestration policies could contribute to a significant part of the global portfolio of efficient climate mitigation policies, dependent upon carbon prices.     

Economic Potential of Biomass Based Fuels for Greenhouse Gas Emission Mitigation

Use of biofuels diminishes fossil fuelcombustion thereby also reducing net greenhousegas emissions. However, subsidies are neededto make agricultural biofuel productioneconomically feasible. To explore the economicpotential of biofuels in a greenhouse gasmitigation market, we incorporate data onproduction and biofuel processing for thedesignated energy crops switchgrass, hybridpoplar, and willow in an U.S. AgriculturalSector Model along with data on traditionalcrop-livestock production and processing, andafforestation of cropland. Net emissioncoefficients on all included agriculturalpractices are estimated through crop growthsimulation models or taken from the literature. Potential emission mitigation policies ormarkets are simulated via hypothetical carbonprices. At each carbon price level, theAgricultural Sector Model computes the newmarket equilibrium, revealing agriculturalcommodity prices, regionally specificproduction, input use, and welfare levels,environmental impacts, and adoption ofalternative management practices such asbiofuel production. Results indicate no rolefor biofuels below carbon prices of $40 perton of carbon equivalent. At these incentivelevels, emission reductions via reduced soiltillage and afforestation are more costefficient. For carbon prices above $70,biofuels dominate all other agriculturalmitigation strategies.     

Managing Permit Markets to Stabilize Prices

The political economy of environmental policy favors the use of quantity-based instruments over price-based instruments (e.g., tradable permits over green taxes), at least in the United States. With cost uncertainty, however, there are clear efficiency advantages to prices in cases where the marginal damages of emissions are relatively flat, such as with greenhouse gases. The question arises, therefore, of whether one can design flexible quantity policies that mimic the behavior of price policies, namely stable permit prices and abatement costs. We explore a number of “quantity-plus” policies that replicate the behavior of a price policy through rules that adjust the effective permit cap for unexpectedly low or high costs. They do so without necessitating any monetary exchanges between the government and the regulated firms, which can be a significant political barrier to the use of price instruments.     

Bioenergy Crop Production in the United States: Potential Quantities, Land Use Changes, and Economic Impacts on the Agricultural Sector

The U.S. Departments of Agriculture and Energyjointly analyzed the economic potential for,and impacts of, large-scale bioenergy cropproduction in the United States. Anagricultural sector model (POLYSYS) wasmodified to include three potential bioenergycrops (switchgrass, hybrid poplar, and willow). At farmgate prices of US $2.44/GJ, anestimated 17 million hectares of bioenergycrops, annually yielding 171 million dry Mg ofbiomass, could potentially be produced at aprofit greater than existing agricultural usesfor the land. The estimate assumes highproductivity management practices are permittedon Conservation Reserve Program lands. Traditional crops prices are estimated toincrease 9 to 14 percent above baseline pricesand farm income increases annually by US $6.0billion above baseline.At farmgate prices of US $1.83/GJ, anestimated 7.9 million hectares of bioenergycrops, annually yielding 55 million dry Mg ofbiomass, could potentially be produced at aprofit greater than existing agricultural usesfor the land. The estimate assumes managementpractices intended to achieve highenvironmental benefits on Conservation ReserveProgram lands. Traditional crops prices areestimated to increase 4 to 9 percent abovebaseline prices and farm income increasesannually by US $2.8 billion above baseline.     

Urban Structure and Environmental Externalities

The objective of this paper is to analyze policy design for air pollution management in the spatial context of urban development. We base our analysis on the paper of Ogawa and Fujita (Reg Sci Urban Econ 12:161–196, 1982), which offers a proper theoretical framework of non-monocentric urban land use using static microeconomic theory where the city structure is endogenous. First, we show that when households internalize industrial pollution in their residential location choice, spatialization within the city is reinforced. This impacts directly the emissions of greenhouse gases from commuting. Then, we analyze policy instruments in order to achieve optimal land use pattern when the policy maker has to manage both industrial and commuting related polluting emissions, that interact through the land market.     

Basin impacts of irrigation water conservation policy

Climate change, uncertain future water supplies, growing population, and increased water demands continue to raise the importance of finding cost-effective water conservation measures. Irrigated agriculture is the world's largest water user, so governments, donor organizations, water suppliers, and farmers continue to look for measures that would produce more crop per drop. Despite the importance of promoting water conservation in agriculture, little work has been done that integrates hydrologic, economic, institutional, and policy dimensions of water conservation. This paper presents an integrated basin scale analysis of water conservation subsidies for irrigated agriculture. A dynamic, nonlinear programming model is developed and applied for the Upper Rio Grande Basin of Colorado, New Mexico, and Texas, USA. Several potential public subsidies of drip irrigation are analyzed for their economic and hydrologic impacts at both the farm and basin levels. Results indicate that water conservation subsidies for drip irrigation produce several effects. These include greater on-farm implementation of water-conserving technology, less water applied to crops, more water consumed by crops, increased farm income, greater crop production, more land irrigated, and increased total water-related economic benefits for the basin. Findings provide a framework for designing and implementing water conservation policies for irrigated agriculture.     

Land Use in the 21st Century: Contributing to the Global Public Good

This paper focuses on the evolution of global public goods related to the world's land resources over the course of the 21st century, their potential impacts on the world's poorest households, as well as prospects for policy interventions aimed at enhancing these outcomes. It begins with global scale projections to 2100 of land use and associated goods and services, including food, fuel, timber, greenhouse gas emissions, carbon sequestration and biodiversity. This is followed by in‐depth discussion of each of these services and the challenges of providing these public goods in sufficient quantities to advance societal welfare—especially that of the world's poorest households. The paper concludes with a discussion of policies aimed at promoting the provision of land‐based public goods and how they could be altered to be more pro‐poor. Within this context, the paper argues that access to geospatial analysis tools and information on climate, land use and tenure, poverty and environmental indicators will become increasingly valuable to both public and private decision makers.     

Shaping the Relationship Between Economic Development and Carbon Dioxide Emissions at the Local Level: Evidence from Spatial Econometric Models

The debate over the correlation between economic growth and environmental pollution has attracted a great deal of attention from academic researchers and policy makers in recent years. There has been excessive use of spatial econometric models and too much emphasis on statistical procedures in empirical studies. In this study, we contribute to the existing literature by conducting a more rigorous analysis of the relationship between economic growth and \(\hbox {CO}_{2}\) emissions in Chinese cities using spatial Durbin models. Our results show that \(\hbox {CO}_{2}\) emissions increase monotonically in relation to economic growth at the city level and that the driving effects of economic growth are slightly smaller in central China than in eastern and western China. In addition to economic growth, industry’s share of the economy is a major driver of \(\hbox {CO}_{2}\) emissions, while technological improvement, measured by energy intensity per unit of gross domestic product (GDP), and the effectiveness of environmental governance flatten the shape of the environmental Kuznets curve. We provide evidence of local spillover effects of explanatory variables on \(\hbox {CO}_{2}\) emissions. Economic competition as well as technological diffusion are found to exist in Chinese cities in relation to \(\hbox {CO}_{2}\) emissions. We also find carbon leakage between cities only if the per capita GDP of a given city is less than $493 (in 2010 constant dollars). Results hold when robustness checks are performed. Policy makers should carefully consider regional differences and the inherent spatial interactions between factors when formulating carbon reduction policies.     

Economic costs and impacts of climate-induced sea-level rise and storm surge in Canadian coastal provinces: a CGE approach

We estimated the economic costs and impacts of future sea-level rise (SLR) and storm surge due to climate change in Canada’s coastal provinces using regional, dynamic computable general equilibrium models that track provincial welfare, GDP, trade, prices and inputs over the 2009–2054 period. We also assessed the economic costs of coastal adaptation investments, to determine whether such investments can be justified on economic grounds. Results indicated that SLR and storm surge could cost Canada in the range of $4.6–$25.5 billion in present value welfare, and between $53.7 and $108.7 billion in present value GDP. We found significant variation in costs and impacts across coastal provinces, with some provinces such as Newfoundland and Labrador experiencing only marginal costs/impacts, and others such as British Columbia experiencing costs as high as $21 billion in welfare over the period. Coastal adaptation investments were supported on economics grounds. Overall, this study provides the first (and preliminary) provincial economic impact estimates of climate-induced SLR and storm surge, as well as adaptation investments, in Canada. Additional research is needed to refine the analysis in order to produce reliable estimates that can be used to guide coastal adaptation policies in Canada.     

A science-driven market-based instrument for determining the cost of environmental services: A comparison of two catchments in Australia

An auction-based approach (or MBI for “market-based instrument”) was used to purchase environmental services from landowners and to establish a long-term economic resource (forest plantations) in two catchments in the state of Victoria (Australia). The policy goal of the MBI was to encourage the conversion of cleared land to forest plantations. It was desired to achieve this while also reducing the amount of land affected by dryland salinity with minimum impact on water available for irrigation. Operationally, interested landowners identified areas on which they would be willing to establish forest plantations, and stated the amount of money they would require from the government to undertake plantation establishment; this constituted a landowner bid. The proposed planting area associated with each bid was processed through a quantitative hydrological model to estimate off-site impacts on dryland salinity and the change in water yield resulting from the conversion of individual non-forested areas to forest plantations. Landowner bids were then accepted or not based on the economic trade-offs among dollars requested by a landowner, reduction in water yield, and decrease in dryland salinity. To enable a comparison of costs, the MBI was independently trialled in two catchments. For both, the cost to government of a hectare of plantation and/or a hectare of salinity benefit was calculated a number of ways. Assuming the existence of a calibrated hydrological model, costs associated with distributing money via such an MBI were publicity, fieldwork, processing the bids through the model, probity, legal, and administration. In the Gippsland catchment, the total cost to establish forest plantations was $5340 per ha whereas it was $1635 per ha in the Corangamite catchment. No salinity benefit was obtained in Gippsland, but in Corangamite, if considered in isolation of the economic forest plantation benefit, the cost per hectare of salinity benefit was $5020.Operational aspects of the MBI are presented and discussed and a comparison is made to the expected costs of a conventional, non-science driven approach to landowner incentives.     

Technical coefficients for bio-economic farm household models: a meta-modelling approach with applications for Southern Mali

In recent years, different types of bio-economic models have been developed to support the analysis of the potential impact of agrarian policies on changes in land use, sustainable resource management and farmers' welfare. Most bio-economic models rely on series of discrete input–output coefficients for current and improved cropping and livestock activities, whereas mathematical programming procedures are usually applied to analyse optimum allocative choice. Adequate procedures for the smooth integration of biophysical information into economic decision models are, however, not readily available. This article provides a new and comprehensive framework for the incorporation of technical input–output coefficients derived from agroecological simulation approaches into bio-economic farm household models. Therefore, continuous production functions are estimated for the production side of the farm household model, making use of meta-modelling principles. It is shown that meta-modelling offers considerable scope for improving the specification and behaviour of bio-economic farm household models. This procedure is applied in a farm household model developed for the analysis of farmers’ response to agrarian policies in Southern Mali. Results are presented for the behaviour of a typical household, focusing attention on the trade-offs between farm income and soil nutrient balances under free market conditions and with constraints on labour, capital and animal traction markets. The stability and robustness of the model is analysed through a simulation of the impact of higher input costs for land use and fertiliser applications.     

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.     

Is reducing energy intensity enough to put the oil-rich GCC states on a more sustainable environmental path?

Although energy wealth rankings place the six Gulf Cooperation Council (GCC) countries among the richest in the world, these economies face unsustainable growth in energy use and continuous environmental degradation. This paper examines the long-run relationship between per capita \(\hbox {CO}_2\) emissions and energy intensity in the GCC, while controlling for economic activity, the size of the manufacturing sector, and institutional qualities. We use heterogeneous panel techniques that account for heterogeneity and cross-country dependence for the period 1971–2011. We find that energy intensity and emissions are cointegrated in all GCC countries and that conservation and energy efficiency policies have greater potential in reducing emissions in Kuwait, Oman, and the UAE. A regional goal of mitigating emissions by 10% would require a reduction in energy intensity by 12%, on average. Last, we find that judiciary independence is an essential institutional quality that ensures the successful implementation and the stringent enforcement of long-term environmental policies.     

Using Tradeable Permits to Achieve Sustainability in the World's Large Cities: Policy Design Issues and Efficiency Conditions for Controlling Vehicle Emissions, Congestion and Urban Decentralization with an Application to Mexico City

Many large cities in the world have serious ground level ozone problems, largely the product of vehicular emissions and thus the argued unsustainability of current urban growth patterns is frequently blamed on unrestricted private vehicle use. This article reviews Mexico City's experience with vehicle use restrictions as an emissions control program and develops the conditions for optimal quantitative restrictions on vehicle use and for complementary abatement technologies. The stochastic nature of air pollution outcomes is modelled explicitly in both the static and dynamic formulations of the control problem, in which for the first time in the literature the use of tradeable vehicle use permits is proposed as a cost-effective complement to technological abatement for mobile emissions control. This control regime gives the authorities a broader and more flexible set of instruments with which to deal more effectively with vehicle emissions, and with seasonal and stochastic variation of air quality outcomes. The market in tradeable vehicle use permits would be very competitive with low transactions costs. This control policy would have very favorable impacts on air quality, vehicle congestion and on urban form and development. Given the general political resistance to environmental taxes, this program could constitute a workable and politically palatable set of policies for controlling greenhouse gas emissions from the transport sector.     

OFFSETTING NEW CO2 EMISSIONS: A RATIONAL FIRST GREENHOUSE POLICY STEP

This paper describes and assesses a policy to slow the increase of carbon dioxide (CO2) emissions in the atmosphere. Policy governing new CO₂ sources would either prevent emissions, procure compensating emissions reductions, or sequester emissions in sinks. The paper uses electric power plants to demonstrate the mechanics of the policy and the control or offset choices. Offset options include scrubbing, fuel switching, investments in energy conservation and efficiency, and afforestation.
Costs per ton ofC0₂ sequestered range from $1.35 for planting shade trees to $59.41 for scrubbing. All options except scrubbing cost less than $11.00, and the median cost is around $6.00 per ton removed. Planting trees on erodible cropland in conjunction with the Conservation Reserve Program combines the goals of reduced erosion, surplus agricultural production, and greenhouse warming. This policy is a first sane step toward reducing the accumulation of greenhouse gases. Having an international framework for managing emissions is most desirable. In the interim, however, the United States can demonstrate environmental leadership, generate substantial conservation benefits, and spark ingenuity in searching for alternatives, broadening the options, and lowering the ultimate costs of reducing CO₂ emissions.     

Environmental Satellite Models for a Macroeconomic Model

To support national environmental policy, it is desirable to forecast and analyse environmental indicators consistently with economic variables. However, environmental indicators are physical measures linked to physical activities that are not specified in economic models. One way to deal with this is to develop environmental satellite models linked to economic models. The system of models presented gives a frame of reference where emissions of greenhouse gases, acid gases, and leaching of nutrients to the aquatic environment are analysed in line with – and consistently with – macroeconomic variables. This paper gives an overview of the data and the satellite models. Finally, the results of applying the model system to calculate the impacts on emissions and the economy are reviewed in a few illustrative examples. The models have been developed for Denmark; however, most of the environmental data used are from the CORINAIR system implemented in numerous countries.     

房价波动、调控政策立场估计及其影响效应研究--基于1998-2014年数据的实证分析

调控政策对房价的反应、立场和影响效应是政府政策设计的重要依据,2007年底金融危机爆发后,调控政策和房价波动都发生了显著变化。文章以2008年为界,构建了三个房价和政策变量的月度时间序列样本：1998-2007年、2008-2014年和1998-2014年,在此基础上,对2008年前后调控政策的反应、立场和影响效应进行了实证分析。结果表明：(1)实际贷款利率和货币供应量在2008年前后对目标变量的反应是交错变化的,货币供应量对房价的反应与假定相反,货币政策并未对房价做出充分反应,而财政和土地政策表现出了较好的反应结果。(2)货币供应量对房价波动的影响最大,是房价持续上涨的重要原因,2008年以来,固定资产投资的影响非常显著,脉冲响应分析发现利率只能在短期内对房价产生负向影响,除土地政策外,货币和财政政策皆会在长期内对房价产生稳定影响。文章的研究为推进房价政策调控和房地产市场健康稳定发展提供了可靠的经验支持。     

Social incidence and economic costs of carbon limits

This paper discusses both distributional and allocational effects of limiting carbon dioxide emissions in a small and open economy. It starts from the assumption that Switzerland attempts to stabilize its greenhouse gas emissions over the next 25 years, and evaluates costs and benefits of the respective reduction program. From a methodological viewpoint, this paper illustrates, how a computable general equilibrium approach can be adopted for identifying economic effects of cutting greenhouse gas emissions on the national level. From a political economy point of view it considers the social incidence of a greenhouse policy. It shows in particular that public acceptance can be increased and economic costs of greenhouse policies can be reduced, if carbon taxes are accompanied by revenue redistribution.     

The effects of macroeconomic factors on South African agriculture

Significant research efforts have been devoted to understanding the effects of macroeconomic factors on the agriculture sector. Analysing the sources of volatility in the industry is critical for designing appropriate policies to stabilize agricultural markets, reduce poverty and increase economic growth. Agriculture is a competitive sector with prices that are more flexible than those in nonagricultural sectors. This article uses annual data over the 1957–2004 period and a vector error-correction model in investigating the dynamic effects of exchange rates, money supply and other macroeconomic variables on the agricultural sector in South Africa. Overall, real exchange rates, interest rates, inflation and money supply (M3) shocks have significant and persistent impacts on agricultural output, prices received by farmers and farm input prices. M3 and interest rate shocks tend to put agriculture in a cost-price squeeze. Agricultural price movements are a source of macroeconomic instability in the country. Real exchange rate shocks shift relative prices in favour of agriculture in the long-run, thereby, boosting farm incomes and accelerating poverty reduction in the country.