Suchergebnisse

This paper developed a simple dynamic model in order to analyse the impact of social capital on violation of environmental regulations. Two main channels of influence were identified; through informal enforcement of regulations and through effects on costs from disinvestment in social capital caused by violation. The model was tested using survey data on enforcement and violation of command and control regulations at municipalities and counties in Sweden. Four different measures on the social capital variable were used; general trust, trust in local and national governments, and organizational activity. Count data models were used for estimating the explanatory power of these variables in relation to inspection frequency and control variables of community characteristics. Statistically best results were obtained for organizational activity for all firm categories. The results showed that both the level of this social capital measure and its growth over time curb violation.

The purpose of this paper is to investigate policy instruments for interdependent carbon pools and how they can be applied in the EU climate policy to 2050. Cost-effective policy instruments for forest products which are adjusted for the impact on carbon pools are identified. A numerical, dynamic, chance-constrained model including the EU-27 countries shows that inclusion of only one forest carbon pool can reduce costs and increase emission reductions. Results also suggest that decentralized policy instruments for both carbon pools are less costly than uniform instruments at the EU level.

Large emissions of greenhouse gases are expected to cause major environmental problems in the future. European policy makers have therefore declared that they aim to implement cost-efficient and fair policies to reduce carbon emissions. The purpose of this paper is to assess whether the cost of the EU policies for 2020 can be reduced through the inclusion of carbon sequestration as and abatement option while also equity is improved. The assessment is done by numerical calculations using a chance-constrained partial equilibrium model of the EU Emissions Trading Scheme and national effort-sharing targets, where forest sequestration is introduced as an uncertain abatement option. Fairness is evaluated by calculation of Gini-coefficients for six equity criteria to policy outcomes. The estimated Gini-coefficients range between 0.11 and 0.32 for the current policy, between 0.16 and 0.66 if sequestration is included and treated as certain, and between 0.19 and 0.38 when uncertainty about sequestration is taken into account and policy-makers wish to meet targets with at least 90 percent probability. The results show that fairness is reduced when sequestration is included and that the impact is larger when sequestration is treated as certain.

Forest management affects the quantity of CO2 emissions in the atmosphere by carbon sequestration in standing biomass, carbon storage in forest products and production of bioenergy that replace fossil fuels. The main question in this paper is whether forest sequestration is worth increasing at the expense of bioenergy and forest products to achieve EU's emission reduction target to 2050 cost-effectively. The assessment is based on numerical calculations using a dynamic, partial equilibrium model of cost-effective solutions, where three abatement methods in the forest sector are included together with abatement in the fossil fuel sector. The results show that forest sequestration in standing biomass is cost-effective compared to bioenergy. When sequestration is taken into account, net present costs for meeting EU carbon targets can be reduced by 18%. This is achieved through an increase in annual carbon sequestration by 30-158 million ton CO2. The overall cost of reaching the 80 per cent carbon reduction target amounts to 2,002 billion Euros when sequestration is included in the policy, but increases to 2,371 billion Euros without sequestration. Results suggest that forests can serve as a cost-efficient carbon sink over the considered time period.

This paper applies the replacement cost method for calculating the value of stochastic carbon sink in the EU climate policy for mitigating carbon dioxide emissions. Minimum costs with and without carbon sinks are then derived with a safety-first approach in a chance constrained framework for current system with an emission trading system and national allocation plans and a hypothetical system where all sectors trade. The theoretical results show that i) the value of carbon sink approaches zero for high enough risk discount, ii) relatively low abatement cost in the trading sector curbs supply of permits on the ETS market, and iii) large abatement costs in the trading sector create values from carbon sink for meeting national targets. The empirical application to the EU commitment of 20% reduction in carbon dioxides shows large variation in carbon sink value depending on risk discount and on institutional set up. Under no uncertainty, the value can correspond to approximately 0.45% of total GDP in EU under current policy system, but it is reduced to one third if all sectors are allowed to trade. The values are unevenly allocated among countries, but in different ways depending on EU policy; under current system countries make gains from reduced costs of meeting national targets, under a sector wide trading scheme buyers of permits gain from reductions in permit price and sellers make associated losses.

The literature highlights how climate change might challenge the definitions of wine geographical indications (GIs) in Europe. The central issue addressed in this thesis is whether European GI viticultural systems could tackle climate change via initiating adaptive institutional change processes to relax the constraints imposed by GI production standards. To do so, drawing from institutional economics theory and literature on cooperatives and collective brand, we developed a novel agent-based model (ABM) representing an abstract GI wine production system in the European Union (EU). Using illustrative data, our model allows testing different impact scenarios driven by climate change, spatial heterogeneity, and alternative institutional settings (i.e., voting mechanism). We used the model to explore individual and collective components of climate resilience and the relationship between economic agents and their environment. We compared the average output of 100 simulations for each of the 12 different climate-landscape-institution scenarios. The inclusion of endogenous institutional change led to considerable variations in all target variables, including the emergence of complex/chaotic behaviours. It enabled the system to reduce farm exits, increase profitability and collective brand value. We showed how landscape heterogeneity has a twofold role in the climate resilience of the system. It increases individual adaptability but obstructs collective adaptive capacity through institutional change. The two different voting mechanisms considered (i.e., relative and absolute majority) did not produce any discernible result. The study highlights the importance of policies oriented to strengthening investments in intangibles and facilitating GI rule amendments, especially in sectors where cooperatives predominate due to poor intangible investments capability and other issues connected to member heterogeneity.

Livestock depredation by large carnivores entails economic damage to farmers in many parts of the world. The aim of this paper is to analyse and compare the costs of livestock depredation by carnivores across different carnivore species and regions. To this end, we estimate the government's compensation cost function. This study uses Swedish data on the county level over the period of 2001 to 2013. Compensation costs due to depredation by three large carnivores are considered: the brown bear (Ursus arctos), the wolf (Canis lupus) and the lynx (Lynx lynx). The results indicate that the costs of compensation for depredation by wolves, lynx and brown bears are determined by the densities of predators and livestock, the amount of forest pasture and the stock of preventive measures. There are considerable differences in marginal costs between predator species and counties, which have implications for policy.

This article advocates for better implementation of the Environmental Impact Assessment (EIA) framework as applied to wind power development, with a particular focus on improving compensatory restoration scaling. If properly enforced, the environmental impacts hierarchy "avoid - minimize - compensate" provides the regulated community with incentives to prevent wildlife and habitat impacts in sensitive areas and, if necessary, compensate for residual impacts through restoration or conservation projects. Given the increase in legislation requiring resource-based environmental compensation, methods for scaling an appropriate quantity and quality of resources is of increasing relevance. I argue that Equivalency Analysis (EA) represents a transparent and quantitative approach for scaling compensation in the case of wind power development. Herein, I identify the economic underpinnings of environmental compensation legislation and identify weaknesses in current scaling approaches within wind power development. I demonstrate how the recently-completed REMEDE Toolkit, which provides guidance on EA, can inform an improved scaling approach and summarize a case study involving raptor collisions with turbines that illustrates the EA approach. Finally, I stress the need for further contributions from the field of restoration ecology. The success of ex ante compensation in internalizing the environmental costs of wind development depends on the effective implementation of the environmental impacts hierarchy, which must effectively encourage avoidance and minimization over environmental restoration and repair.

Macedonia, as a candidate country to the EU and a member of the WTO is in need of a comprehensive, transparent, and internationally comparable assessment of the support to agriculture in the country. OECD that has been measuring support to agriculture on a yearly basis, in its member countries as well as some other countries since the mid-1980s offers a good tool for such a task. The method is known for its most important indicator, the Producer Support Estimate (PSE). Using this method, data on Macedonian agricultural policy measures, in place – partly or entirely - for the period 1999 to 2004, have been gathered and categorized in order to arrive at an estimate of the level of support. This report presents the main findings of this assessment.

The forestry and reindeer herding sectors utilize the same land in northern Sweden, and adversely affect each other's productivity. The common pool resource character of this situation has made it difficult to find ways to resolve conflicts that could threaten the two sectors' continued co-existence. A consultation procedure that was introduced to reduce conflicts does not appear to be effective, since conflicts between the two actors still occur. One reason for this failure might be found in the power distribution between forestry and reindeer herding. Earlier research has shown that a co-management system in which the allocation of power between the stakeholders is uneven is difficult to maintain in the long term. However, it is unclear just how uneven the power distribution is between the two actors in this case, and the consequences the disparity might have for the viability and stability of the management system. Focusing on the power relations within the consultation procedures, this paper explores the potential of the present institutional system to take the different interests of the stakeholders into account and to use the consultation procedures as tools for co-managing the forest resources in northern Sweden.

The free market economy, to which East European countries are increasingly being exposed, implies that classical budgeting techniques in the form of the Faustmann approach present themselves as the tools of choice for forest investment analysis. One implication is that the choice of a proper discount rate (r) must be made as part of the basis for formulating a harvest policy. The paper discusses this choice in the light of practice as well as theory, and, using Lithuania as a case, examines the potential economic and political impact of softening the current restrictions on forest management. A review of the debate on discounting in forestry is provided. A statistical analysis of the relation between reported rs and internal rates of return (IRR) from numerous studies on forestry investments reveals a strong correlation between r and IRR. Possible explanations are provided. Analysis reveals that application of any positive r will significantly change forestry practice in Lithuania. Setting r = 3 per cent, slow growing species are to be replaced by fast growing species, and rotation periods should be substantially shortened. The standing volume of (over-) mature forests is about 160 million m3, as compared with the currently harvestable volume of about 40 million m3 according to the minimum allowable rotation age. The macroeconomic perspectives of cashing some of the mature forest for the small transition economy are discussed, taking into account the effects of externalities of forests. Consequently we suggest an alternative formulation of the normal forest. Finally, based on these considerations, a real r of 0-2 per cent is suggested for State forestry in Lithuania. A post-tax r of 2 per cent is advocated for private forestry, with potential project specific deviations downward to 0 or upward to 4 per cent. It is stressed that discount rate is viewed as one of important decision parameters and due regard should be given to non-timber forest outputs, social and institutional settings and other factors.