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The purpose of this paper is to present and discuss the methodological approach and the results of the investigation of greenhouse gas emission abatement costs in Upper Austria.

The assessment covers the quantification of marginal abatement costs (MACs) of greenhouse gas (GHG) emissions and the emission reduction potentials of various energy efficiency and fuel switch measures with a special emphasis on the heat, electricity and transport sectors in Upper Austria during the period from 2010 to 2030.

The expert‐based assessment in Upper Austria shows negative abatement costs for 19 of 56 evaluated strategies. While these measures are very efficient from an economic point of view, the remaining 37 measures are associated with higher costs. The evaluation reveals a significant reduction potential of 5.2 million tons CO₂e (which represent 21 per cent) of the current GHG emissions in Upper Austria for the examined period.

MACs are generally limited to a certain time frame. Furthermore, the expert‐based approach is based on several assumptions and neglects behavioural and learning aspects.

This contribution uses a multi‐criteria approach that reveals the economic efficiency and the ecological effectiveness of the considered strategies/technologies with regard to greenhouse gas emission reductions, the improvement of the overall energy efficiency, and the competitiveness of a fuel switch towards renewable energy sources. Drawing upon the findings of this study, policy recommendations can be elaborated and the necessary improvements of the regulative framework can be implemented.

The purpose of this paper is to estimate shadow prices of agricultural carbon emissions produced by agricultural inputs, rice paddy and burning crop residue, and to explore the impact of cropping pattern on marginal abatement cost (MAC).

The shadow price of agricultural carbon emissions is estimated by applying directional distance function and non-parametric methods.

The estimated shadow price of agricultural carbon emissions ranges from 6.78 to 557.83 yuan/ton, and the average value is 62.50 yuan/ton (or $10.18/ton). The MAC value varies in different provinces and years. The regional difference of MAC shows a decreasing trend during the investigation period. Cropping pattern shows a significant negative impact on agricultural MAC. A 1 percent decrease of rice proportion leads to a 0.31 percent increase in MAC value. This implies that the higher the proportion of rice is, the lower the economic cost to reduce agricultural carbon emissions would be.

It is feasible to draw up appropriate mechanisms for the allocation of emission reduction responsibilities according to conditions in various regions, with emphasis on the local cropping patterns. There is a trade-off between reducing carbon emission and increasing crop yields.

This study calculates agricultural MAC by using the shadow price approach, taking agricultural carbon emissions as undesired environmental output. The study also provides a reference emission right price and provides guidance to make use of cropping structure adjustment and optimization for exploring the emission reduction strategy.

The purpose of this paper is to illustrate how project economics and decision making in industry can be affected by global climate change. When assessing the sustainability of any design or project, one of the key emerging considerations is the potential for the decision to contribute to greenhouse house gas (GHG) emissions. Changes in climate may also lead to new project risks with further economic implications.

Examination of the wider social economic implications of climate change provides the basis for considering individual projects within the context of the social costs of carbon emissions, the prospect of the gradual internalisation of those costs, and the costs and benefits of adaptation to protect against the impacts of global change on the project.

Emissions of greenhouse gases, still widely not priced in many parts of the world, drive the emerging observed and predicted effects of climate change on the planet. This damage has real value and can be monetised, allowing a notional social cost of carbon to be estimated. As climate change continues to manifest itself, societies start to react, constraining emissions and creating a market price or tax for carbon. If economic analysis for project decision making includes an explicit consideration of the likely future trajectory of carbon prices, and also examines the wider external social costs of carbon, the benefits of early adoption of revenue‐positive measures to reduce emissions are revealed. In the same way, the financial costs of procrastination are made increasingly evident as regulatory and economic baselines shift. Designing for inevitable climate change will also help industry future‐proof their operations.

At present, relatively few organisations examine the financial and economic implications of carbon emissions or the effects of a changing climate on their operations. To avoid unnecessary costs, and maximise benefit for stakeholders, decision making for business and government needs to incorporate an explicit economic treatment of the current and likely future implications of operating in a climate‐constrained and climate‐impacted world.

By conducting the kind of analysis proposed, organisations can not only help to reduce GHG emissions, but can also improve their own financial performance. The value of this analysis will only increase over the coming decades of the climate‐change era.

An interdisciplinary model network consisting of the regional agricultural economic model RAUMIS and the hydro(geo)logical models GROWA/WEKU is used to analyze the effect of different scenarios of maximum agricultural nitrogen balance surplus on water quality. The study area is the federal state of Lower Saxony, Germany, which features heterogeneous natural site conditions as well as agricultural production structures. A focus of the study is the modeling of supra-regional manure transports that, according to the model's results, considerably increase due to a lowering of maximum nitrogen balance surpluses. The assessment of the examined nitrogen reduction measures reveals that adequate indicators have to be applied. In this regard, the model results show that even though the analyzed measure leads to a substantial overall reduction of agricultural nitrogen surpluses, nitrogen discharges into surface and groundwater can regionally increase.

The Greehouse Gas (GHG) in the shipping industry has attracted increasing attention. One potential method to reduce the GHG mitigation cost is the Clean Development Mechanism (CDM). The purpose of this paper is to identify factors that may increase or hinder the CDM in the shipping industry and provide policy implications.

The paper is an extension and application of the methodology first published by Wang and Firestone in Energy for Sustainable Development. The gravity model in international trade theory is used. The econometric model is employed for the analysis.

Larger project endowment, higher government efficiency, high‐quality expertise and infrastructure may play roles in increasing CDM in the shipping industry. The promotion of small‐scale projects, upgrade of the infrastructure, assistance of technologies and knowledge overseas can help the shipping industry and small countries to attract more CDM.

The paper is among the first work to describe and analyze potential barriers for the international shipping industry to use the CDM. It also suggests a set of measures to address the policy options to promote CDM in the shipping industry and small developing countries.

There are certain differences in the production products of enterprises. What are the impacts of product differentiation on the iron and steel industry? Based on the macro background of CO₂ emission reduction, this paper aims to analyze the economic benefits and environmental changes of the iron and steel industry under the dual influence of CO₂ emission reduction policy and product differentiation policy.

Taking the basic data of iron and steel industry in six regions of China as an example, this paper constructed an extended two-stage dynamic game model to analyze the impact of product differentiation and carbon tax policy on the production, economic indicators and CO₂ emission levels for the overall industry and regional enterprises.

As the CO₂ emission reduction target increased, the unit carbon tax and total tax increased, whereas the macro-environmental losses, social welfare, consumer surplus and outputs decrease. Emission reduction pressures and other economic indicators showed obvious regional differences. Differentiated products promoted various indicators of enterprises and industries; higher degrees of product differentiation resulted in greater promoting effects on economic indicators.

This paper constructed multiple emission reduction and production backgrounds, and discusses the impact of the comprehensive implementation of these policies, which has been practically absent in previous studies. The results of this study are consistent with the current industrial policy for stable production and environmental protection, and also provides a reference for the formulation of detailed policies in the future.