Biofuel policies and the environment: Do climate benefits warrant increased production from biofuel feedstocks?

We examine whether climate benefits warrant policies promoting biofuel production from agricultural crops when other environmental impacts are accounted for. We develop a general economic-ecological modelling framework for integrated analysis of biofuel policies. An economic model of farmers' decision making is combined with a biophysical model predicting the effects of farming practices on crop yields and relevant environmental impacts. They include GHG emissions over the life cycle, nitrogen and phosphorus runoff, and the quality of wildlife habitats. We apply our model to crop production in Finland. We find that under current biofuel production technology the case for promotion of biofuels is not as evident as has been generally thought. Only reed canary grass for biodiesel is unambiguously desirable, whereas biodiesel from rape seed and ethanol production from wheat and barley cause in most cases negative net impacts on the environment. Suggested policies in the US and the EU tend to improve slightly the environmental performance of biofuel production.     

A Major Environmental Tax Reform for the UK: Results for the Economy,Employment and the Environment

This paper reports the results of a major modelling exercise to gain insights into the possible economic and environmental effects of a large-scale environmental tax reform (ETR) in the UK. ETR involves a shift in the target of taxation away from labour or firms towards pollution or the use of natural resources, in such a way that overall tax revenues are unchanged. It is hoped that such a tax shift will deliver environmental improvements while having a neutral or positive effect on the economy. The modelling was set up to explore the extent to which this would be the case. The paper starts with a brief literature review identifying the theoretical hypotheses relating to ETR and summarising the results of some of the evaluations of ETRs that have been implemented. It then briefly describes the model used for the analysis in this paper. The main body of the paper then describes the scenarios set up to explore the main impacts and the results of modelling these scenarios. These results suggest that substantial reductions in greenhouse gas (GHG) emissions can be achieved with minimal impacts on output and an overall increase in employment, such that ETR emerges as a very attractive policy for GHG emission reduction.     

Greenhouse gas emission reduction potentials in air transport: a structural equation modelling-based multi-group analysis

In this study, we used a structural equation modelling (SEM) approach to identify the key factors that influence greenhouse gas (GHG) emission reduction potentials in air transport (ERPAT). We explored the correlations among constructs from the perspectives of aviation GHG emission reduction. Organisation type is one of the contextual factors that may change the nature of these correlations. Person- and self-administered questionnaires were used to collect data from 249 aviation experts. The results obtained using SEM showed that aircraft technology and design, aviation operations and infrastructure, socio-economic and policy measures, and alternative fuels and fuel properties are the key factors for reducing GHG emission. Conclusively, organisation type can help in controlling the relationship among the constructs. Thus, organisation type acts as a moderator in the research model. The outputs can be used to measure the level of knowledge and understanding regarding ERPAT and can provide policy-makers, government organisations, and airlines with valuable information for designing appropriate air transport policies for emission reduction.     

Carbon offsets as an economic alternative to large-scale logging: a case study in Guyana

The objective of this study is to analyze the economic viability of carbon-offset projects that avoid logging in Guyana's forests. The results of this case study illustrate the cost effectiveness of alternative land-use options that reduce deforestation and associated greenhouse gas (GHG) emissions. This analysis demonstrates that using Guyana's rainforests for climate change mitigation can generate equivalent revenue to that of conventional large-scale logging without detrimental environmental impacts. At a 12% discount rate, the break-even price for carbon is estimated to be about US$ 0.20/tC. This estimate falls toward the low range of carbon prices for existing carbon offset projects that avoid deforestation.     

Environmental cost-benefit analysis of alternative timing strategies in greenhouse gas abatement: A data envelopment analysis approach

Assessing the benefits of climate policies is complicated due to ancillary benefits: abatement of greenhouse gases also reduces local air pollution. The timing of the abatement measures influences both the economic costs and ancillary benefits. This paper conducts efficiency analysis of ten alternative timing strategies, taking into account the ancillary benefits. We apply the approach by Kuosmanen and Kortelainen [Valuing Environmental Factors in Cost-Benefit Analysis Using Data Envelopment Analysis, Ecological Economics 62 (2007), 56-65], which does not require prior valuation of the environmental impacts. The assessment is based on synthetic data from a dynamic applied general equilibrium model calibrated to The Netherlands. Our assessment shows that if one is only interested in GHG abatement at the lowest economic cost, then equal reduction of GHGs over time is preferred. If society is willing to pay a premium for higher ancillary benefits, an early mid-intensive reduction strategy is optimal.     

Valuing Environmental Health Effects – An Economic Perspective

This paper provides an overview of some of the issues involved in comparing benefit-cost analysis and cost-effectiveness analysis based on quality-adjusted life-years as alternative approaches to assessing environmental policies that affect human health. It concludes that: (i) although QALYs have the advantage of reflecting policy impacts on both health status and longevity in a single scalar measure, they are not consistent with utility theory unless individuals’ preferences satisfy some restrictive conditions; (ii) they do not capture other important aspects of the valuation of changes in mortality and morbidity; (iii) cost-effectiveness analysis based on QALYs as a measure of effectiveness omits non-health related effects of environmental policy; and (iv) it leaves unanswered the important question of what level of environmental regulation is appropriate.     

过程、结果维度的环境治理与企业财务绩效

目前国内外对于环境治理与企业财务绩效之间关系的研究,结论不一致且不能有效比较,可能是由于没有区分环境治理的不同维度,而高成本的环境治理过程与环境治理结果之间的关系尚不明确。本文基于2009—2017年A股公司年报手工搜集企业环境治理数据,基于权衡理论、自然资源理论和TLGT效应等,检验了环境治理过程和结果与企业财务绩效之间的非线性关系。结果发现:环境治理过程正向影响环境治理结果,而环境治理过程和结果两个维度都与企业财务绩效呈U型关系,较差的环境治理过程和结果均负向影响财务绩效,而较好的环境治理过程和结果均正向影响财务绩效,并且环境治理结果在环境治理过程和企业财务绩效之间发挥非线性中介作用。进一步检验发现,过程维度的环境治理仅通过成本效应路径影响财务绩效,而结果维度的环境治理同时通过成本效应路径和差异化效应路径影响财务绩效。本文基于中国的制度背景将环境治理划分为治理过程和治理结果两个维度,为企业环境治理与财务绩效之间的关系提供了经验证据,并对促进中国企业环境治理提供了一定启示。     

Environmental and economic impacts of trade barriers: The example of China–US trade friction

The new age of trade wars could simultaneously affect the worldwide distribution pattern of the economy and environmental emissions. However, previous studies have focused on economic impacts, and on trade liberalization, while little is known about the equilibrium effects of trade barriers on the environment. Using a global computable general equilibrium model and taking the recent anti-trade policies of the Trump administration as an example, this study investigates the possible socio-economic and environmental effects of trade friction. Specifically, this study explores how the implemented six rounds of China–US trade friction and its different long-term development trends affect regional economic output, GHG and air pollutant emissions. Results show that trade barriers harm both countries’ economies and such losses have a certain permanence, while non-participants can benefit indirectly. Trade friction decreases participants’ GHG emissions, modifies global GHG emission distribution patterns, and leads to improved air quality in most countries. If governments continue to impose tariffs, global GHG emissions could counterfactually decrease by up to 5%. However, the change in trade patterns is not conducive to clean energy development in the less-developed regions, including the Middle East, Africa, and Latin America, and emission reductions from trade friction are insufficient to avoid catastrophic climate change.     

Are free trade agreements good for the environment? A panel data analysis

This study empirically examines the relationship between free trade agreements (FTAs) and greenhouse gas (GHG) emissions. For this purpose, we use three different FTAs: the Southern Common Market, the North American Free Trade Agreement, and the Australia–United States Free Trade Agreement. These FTAs are between developing, both developing and developed, and only developed countries, respectively. Panel unit root, panel cointegration, and fully modified ordinary least squares estimations are employed to examine the long‐run relationship between GHG emissions and trade liberalization. The results indicate that the environmental effects of FTAs depend on the different agreement types. When FTAs are between only developed or developing countries, overall there is no environmental damage, and these types of FTAs can be beneficial for the environmental quality in the long run. However, when developing and developed countries are in a trade agreement, overall environmental quality decreases due to increased GHG emissions.     

The behaviour of expected short-term real interest rates in the UK

The existence of persistent technical inefficiency offers the opportunity for a ‘free lunch’ not typically implied by the neoclassical theory of the firm. When external effects are related to the use of particular inputs, reduction of persistent technically inefficient levels of input use represents a means of reducing external impacts. An important example is found in agriculture where substantial environmental impacts are generated by particular inputs. Within this context, this paper considers the usefulness of data envelopment analysis (DEA) for estimation of potential input reductions and assessment of potential reductions of environmental impacts of agricultural inputs. An application for French cereal production provides estimates that indicate that substantial potential exists for reduction of input use and environmental impacts.     

环境绩效评估指标体系研究——以云南省为例

环境绩效评估是进行环境管理的重要手段。在本文中,笔者对环境绩效评估指标体系构建方法与原则进行了探讨,并将上述理论应用于云南省,初步构建了云南省环境绩效评估指标体系。     

Impact of irrigation water quality on human health: A case study in India

Untreated or partially treated wastewater, which is a negative externality of urban water use, is widely used for irrigation in water scarce regions in several countries including India. While the nutrients contained in the wastewater is considered as beneficial to agriculture, the contaminants present in it pose environmental and health risks. This paper examines the morbidity status, its determinants as well as the cost of illness for households living in the areas irrigated with wastewater in comparison with those using normal quality water. Primary data collected from six villages irrigated with wastewater along Musi River which is fed with wastewater and one control village where normal quality water is used for irrigation has been used for the analysis.It is seen that higher rates of morbidity exist in the wastewater irrigated villages when compared to the control village. Specifically, adult and female morbidity rates are significantly higher than child and male morbidity rates. From the logit analysis it is seen that exposure to wastewater and engagement in activities based on it places the households in higher risk groups to report morbidity. Small and marginal farmers incur higher economic cost of illness. However, it has been difficult to ascertain the cause and effect relationship as most of the households have reported more common illnesses like fever, head ache, skin itching, stomach ailments, etc. The study points out the need for a comprehensive risk assessment and adoption of risk management measures including setting standards for treatment and discharge of wastewater and regulations on the type of uses etc. to prevent unplanned use of untreated or partially treated wastewater while taking into account local conditions.     

An integrated decision-support approach in prioritizing risks of non-indigenous species in the face of high uncertainty

When evaluating the risks of future invasions, we often have sparse information on the likelihood that a species will arrive, establish and spread in a new environment, and on the potential impacts should this occur. Conventional risk assessment, therefore, is limited in providing guidance in managing the risk of non-indigenous species (NIS). However, risk management decisions must be made facing these uncertainties to avoid high and irreversible impacts.We develop an integrated ecological economic modeling and deliberative multi-criteria evaluation (DMCE) approach to support group decision-making in risk prioritization, using an example of ten NIS that could potentially impact Australian plant industries. This innovative approach seeks to combine the advantages of dynamic modeling with the benefits of DMCE in assessing and communicating uncertainty. The model unveils the complexity of the socio-ecological system of biological invasion, with a scenario analysis designed to interactively communicate scientific uncertainty to decision-makers. The DMCE provides a structured approach to identifying stakeholders' key concerns in addressing economic, social, and environmental dimensions of NIS risk explicitly. Functioning as a platform for risk communication, the DMCE also offers an opportunity for diverse views to enter the decision-making process and for the negotiation of consensus consensuses.     

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.     

Modeling production externalities in the maquila industry

In the past decade, the maquiladora export industry surpassed both tourism and petroleum products to become the number one source of earned foreign exchange for Mexico. The continued growth of the maquila industry suggests that there may be significant production spillovers into the local environments. Dynamic modeling, using STELLA, provides a framework for quantifying the environmental impacts emanating from the growth of the maquila industry, focusing on wastewater treatment consequences and resulting infrastructural policy considerations. Such detailed modeling of industrial, infrastructural, and ecological linkages has not yet been a feature of research on this region, despite the potential for significant human health ramifications. An environmental model is therefore developed for two focal urban communities, Nogales and Mexicali, facing potential wastewater treatment concerns due to the growth of nearby maquila factories. In the former case, the analysis revealed the inadequacy of the capacity planning for the treatment of effluent; in the latter case, conservative projections reveal that the system upgrades should be able to handle demands through 2020.     

Research on regional capability constructive models of cleat development mechanism

Global climate change has been identified as the ftrst of the top ten environmental problems in the world,As climate change will have serious effects on the social and economic development and everyday living of people in the world,many of the countries and governments are taking untiring efforts to combat climate change.As one of the important mechanisms of reducing greenhouse gas (GHG) emissions in the Kyoto Protocol,Clean DevelopmentMechanism (CDM) has not only provided chance.for developed countries to ftdfill greenhouse emission reduction obligations,but also provided an opportunity for developing countries to combat climate change under the sustainabledevelopment frame.The dual objectives of developed countries' GHG emissions' reduction obligation achievement and developing countries'sustainable development will be achieved under the CDM.As a country with responsibility,China has been positively developing CDM projects and promoting energy saving and emissions reduction during the three years after the Kyoto Protocol came into force,and CDM projects development has always been in the front tank in the world However,as the vast clime within China,notable differences occur in different regions.In order to promote the CDM development in China,it is necessary to have regional CDM capability construction in accor dance with the practicality in different regions.Based on the Slat Analysis of developed CDM projects and current CDM development status in China,problems in the CDM development of China,including the inefficiency in sinall and medium-sized CDM Projects development,over centralization of CDM development scope and especially the differentiated provincial CDM projects developing capability are pointed out in the paper.What's more,reasons forthe problems are analyzed from the leading factors,including policy orient,information asymmetry and weak CDMcapability.In order to promote CDM projects development in China,a new CDM capability construction model is put forward in the paper     

Modelling intervention options to reduce GHG emissions in housing stock — A diffusion approach

The building sector is regarded as having one of the highest benefit-cost ratios from greenhouse gas (GHG) emission reduction strategies. However, because of uncertainties around household behaviour patterns, it is very difficult to assess and compare the GHG reduction impacts of different intervention schemes for whole housing stock. Intervention schemes include policy instruments such as incentives or rebates for energy efficient appliances or renewable energy, and regulatory building code requirements for energy efficiency. This paper presents a decision support tool based on mathematical diffusion that evaluates the adoption levels of different schemes or pathways towards reducing GHG emissions in housing stock. It is an extension of the Bass diffusion model that accommodates financial and non-financial benefits, ceilings of adoption and interactions between intervention options. The model capability was tested using a case study of seven suburbs in Brisbane, Australia, comprising of 25,000 houses and units. Estimates of GHG emission reductions to 2019 of a household rebate scheme for solar panels and a rebate scheme for solar hot water compared to a base case of no rebates were presented and analysed. Modelling also allowed identification of important characteristics of adoption trends that could assist policy makers and industry to substantially improve the design of effective intervention options.     

Factors Influencing Corporate Environmental Protection Activities for Greenhouse Gas Emission Reductions: The Relationship Between Environmental and Financial Performance

This paper analyzes the relationship between a firm??s greenhouse gas (GHG) emissions and its profitability in Japanese manufacturing. Defining the difference between the marginal revenue and cost of reducing GHG emissions as the ??net benefit,?? which is endogenously characterized by various factors, we estimate a switching regression model where the sign of the net benefit determines the relationship between GHG emissions and profitability. Our empirical analysis focuses on ISO 14001 adoption, market competition, uncertainty, financial flexibility, and share ownership structure as the factors, and indicates that firms with low firm-specific uncertainty, high financial flexibility, and a high proportion of large shareholders tend to have a nonnegative net benefit, so that the positive relationship between their GHG emissions and profitability is mitigated. On the other hand, although ISO 14001 adoption is generally considered to be an indicator of a firm??s stance on environmental proactiveness, it does not provide a sufficient incentive to reduce emissions. Factors such as uncertainty, financial flexibility, and share ownership structure are more important to GHG emission reductions.     

Capital Malleability, Emission Leakage and the Cost of Partial Climate Policies: General Equilibrium Analysis of the European Union Emission Trading System

Computable general equilibrium (CGE) models are the premier analytical platform for assessing the economic impacts of climate change mitigation. But these models tend to treat physical capital as “malleable”, capable of reallocation among sectors over the time-period for which equilibrium is solved. Because the extent to which capital adjustment costs might dampen reallocation is not well understood, there is concern that CGE assessments understate the true costs of greenhouse gas (GHG) reduction policies. This paper uses a multi-region, multi-sector CGE model to investigate cap-and-trade schemes, such as the European Union Emission Trading System which cover a subset of the economy, elucidating the effects of capital malleability on GHG abatement, the potential for emission leakage from abating to non-abating sectors, and the impacts on welfare. To simplify the complex interactions being simulated within the CGE model, that analysis is complemented with an analytical model. A partial climate policy results in negative internal carbon leakage, with emissions declining not only in capped sectors but also in non-regulated ones. This result is stronger when capital is intersectorally mobile. Interestingly, in partial climate policy settings capital malleability can amplify or attenuate welfare losses depending on the attributes of the economy.     

Is it Beneficial to be Included in a Sustainability Stock Index? A Panel Data Study for European Firms

This paper empirically examines the effect of inclusion in the Dow Jones Sustainability World Index (DJSI World) on corporate financial performance. On the basis of panel data for European firms that were included in the Dow Jones Stoxx 600 Index over time, our micro-econometric analysis with fixed and random effects models implies positive impacts on return on assets for continental European countries, but insignificant effects for Anglo-Saxon European countries (i.e., the United Kingdom and Ireland). Furthermore, the impacts on alternative indicators of corporate financial performance such as Tobin’s Q are generally insignificant. The weak or neutral effect of inclusion in the DJSI World on corporate financial performance can be explained by several mutually confounding factors. Furthermore, the composition of this sustainability stock index is influenced by factors that need not necessarily be directly connected to corporate environmental or social activities, so that potential positive and negative effects of corporate sustainability performance on financial performance can be weakened. Methodologically, this study again supports the strong relevance of unobserved firm heterogeneity since the application of misspecified pooled regression models leads to obviously biased estimation results.