森林资源经济利用的政策模拟模型应用研究

林业政策在对森林资源的培育、保护和利用方面起相当大的作用.在市场机制作用的框架下林业政策的作用更多的是通过影响市场机制传递的产品和生产要素的价格信号,进而影响生产经营主体的收益成本预期及其决策行为,最终影响到对森林资源的培育、保护和利用的效果,因此分析和认清林业政策对林业发展的作用机制和影响效果有重要的意义.本文基于市场机制.以林业经济福利为目标,把森林资源培育的第一产业环节和以森林资源为原料的第二产业发展结合一起作为完整的产业链,构建一个林业的政策模拟模型.利用该模型,对木材价格、林业税费、信贷利率和采伐限额等林业经济政策的影响进行了定量分析,着重比较了林业产权制度改革前后政策变化所产生的效应,以及所具有的激励效果,从而认识林业政策的变动和调整如何影响政策目标,为政策的制定和对合理政策进行选择提供参考的依据.     

Evaluating the impacts of sea level rise on coastal wetlands in Languedoc-Roussillon,France

Sea-level rise due to climate change creates new risks of submersion in coastal areas that must be taken into account. Although these are long-term risks for 2100, it is important to anticipate possible consequences in order to identify the most vulnerable areas or issues and develop the appropriate adaptation policies. The aim of this paper is to examine the consequences of such sea-level rise for wetlands in the Languedoc-Roussillon region (France) which is particularly at risk of submersion. The analysis is based on the worst case scenario of a one meter sea level rise by 2100, with a variety of adaptive strategies: denial, laissez-faire and strategic retreat of infrastructure and buildings. This latter strategy assumes that the retreat wetlands is unconstrained. The evaluation examines the losses and transformations of ecological habitats, depending on their distance from salt water. Estimating damages and benefits requires first, to study the evolution of the services supplied by different habitats and second, to estimate the value of the economic impact. This approach demonstrates the superiority of a strategic retreat policy which would halve the damages resulting from submersion.     

Implementing SDG 15: Can large‐scale public programs help deliver biodiversity conservation,restoration and management,while assisting human development?

Among the Sustainable Development Goals (SDGs), the proposed SDG 15 promotes activities that, inter alia, “Protect, restore and promote sustainable use of terrestrial ecosystems”. An important potential contribution in achieving SDG 15 is through public programmes designed to jointly promote human development through poverty alleviation and improvement of human livelihoods and biodiversity conservation/management/restoration. An analysis of twenty public programmes with such joint objectives yielded twelve lessons learned. In addition to financial commitments, government and intergovernmental agency input for such public programmes includes ensuring political will and appropriate legal frameworks. Local communities and civil society provide input through traditional and indigenous ecological knowledge and stewardship. Appropriate shared inputs in development and the implementation of such public programmes, with communication between local community, broader civil society, the scientific community and governments will result in: better use and management of biodiversity; alleviation of poverty; security of livelihoods and better governance systems. The Ecosystem Approach of the Convention on Biological Diversity provides an ideal framework when planning and implementing new programmes. Application of the lessons learned to new public programmes will ensure that the answer to the question posed in the title is an emphatic “Yes”, and assist with the achievement of SDG 15.     

Compromising sustainable mobility? The case of the Gothenburg congestion tax

Congestion charging is widely considered an effective policy measure to regulate and reduce car traffic demand and associated environmental and health problems in cities. However, introducing restrictive measures to constrain individual choice and behaviour for the common good has often proven difficult. Using a specific case, the Gothenburg congestion tax introduced in 2013, we study the policy process behind the introduction of the tax and assess to what extent green values were compromised along the way. The tax was made possible by co-financing infrastructure investments, including roads, which seemingly contradicts stated goals of reducing car traffic and emissions. We show how the tax was ‘muddled through’ in a top-down political compromise by a grand coalition where different interests could legitimate their support in relation to the achievement of partially conflicting objectives and projects. However, to declare the regulatory goals fully neutralised would be to underestimate the scheme's direct environmental effects and restrictive potential. Finding a compromise with powerful political and economic interests was necessary to get it off the ground. Once launched, however, it can over time regain its restrictive properties and lead to more profound long-term effects.     

Seeking,Thinking, Acting: Understanding Suburban Resident Perceptions and Behaviors Related to Stream Quality

Theories in risk, psychology, and communication suggest aiming to inform the public about basic ecological facts may not be enough to influence knowledge of risks or behaviors to mitigate water quality risks. The risk information‐seeking and processing model and the theory of planned behavior suggest several additional variables that are likely to influence risk‐mitigating behaviors. We used data from a survey of watershed residents in Ohio to explore a model of behavioral intentions to positively impact stream health. Residents' informational norms, or the perceived pressure to know about local stream health, strongly predicted their information‐seeking behaviors. Active‐seeking behaviors predicted positive attitudes toward behaviors impacting stream health, which predicted intentions to positively impact stream health. Implications for outreach include couching communication in terms of risk found important to the local community, here wildlife were seen as negatively influenced by water quality, as opposed to plain reports typically provided by utility companies. Increasing social pressure to feel informed by emphasizing the existing knowledge of stream ecology among residents could change the norm for the less informed. A low response rate limits the generalizability of findings here, but leveraging these findings in outreach efforts could prove more successful in engaging the public to improve stream health and support policies to improve stream health.     

Whose lawn is it anyway? Redefining problems and the implementation of municipal stormwater policies

Research of problem definitions typically centres on agenda setting and formulation with less attention given to implementation. In recognition of this gap, this analysis examines the relationship between issue definition, issue redefinition and policy implementation by reviewing two municipal stormwater plans. The results suggest that in larger issue contexts replete with ambiguity and uncertainty, problem definitions are often “tweaked” and adapted during the implementation process. In short, street-level bureaucrats craft “genetically related” but idiosyncratic problem definitions – that fit their own policy-making context. In the case of stormwater, “solutions”; are best described as dynamic policies built upon the values associated with technical expertise, public participation and environmental sustainability.     

Mainstreaming climate change adaptation at the local level

National authorities in many countries aim at having climate change adaptation mainstreamed into existing policy domains in order to achieve coherence and synergies, and to avoid mal-adaptation. Because of local variations in climate change impacts, the lion's share of climate adaptation work will have to take place at the local level. This means also that the mainstreaming process needs to occur locally. This article examines the mainstreaming of climate change adaptation into existing sectors in five Norwegian municipalities. Applying theories of mainstreaming and policy integration we find that policy development is slower, but perhaps more robust in the municipalities that have chosen a horizontal, cross-sectoral approach to mainstreaming than in the municipalities that have chosen a vertical sector approach to mainstreaming.     

The impact of humanitarian context conditions and individual characteristics on aid worker retention

High employee turnover rates constitute a major challenge to effective aid provision. This study examines how features of humanitarian work and aid workers’ individual characteristics affect retention within one humanitarian organisation, Médecins Sans Frontières (MSF) Holland. The study extends existing research by providing new theoretical explanations of employment opportunities and constraints and by engaging in the first large‐scale quantitative analysis of aid worker retention. Using a database of field staff (N=1,955), a logistic regression is performed of the likelihood of reenlistment after a first mission. The findings demonstrate that only 40 per cent of employees reenlist for a second mission with MSF Holland, and that workplace location and security situation, age, and gender have no significant effect. Individuals are less likely to reenlist if they returned early from the first mission for a personal reason, are in a relationship, are medical doctors, or if they come from highly developed countries. The paper reflects on the findings in the light of policy.     

Environmental policy and macroeconomic dynamics in a new Keynesian model

This paper studies the dynamic behavior of an economy under different environmental policy regimes in a New Keynesian model with nominal and real uncertainty. We find the following results: (i) an emissions cap policy is likely to dampen macroeconomic fluctuations; (ii) staggered price adjustment alters significantly the performance of the environmental policy regime put in place; (iii) the optimal environmental policy response to shocks is strongly influenced by the degree to which prices adjust and by the monetary policy reaction.     

SMART-SREC: A stochastic model of the New Jersey solar renewable energy certificate market

Markets for solar renewable energy certificates (SRECs) are gaining in prominence in many states, stimulating growth of the US solar industry. However, SREC market prices have been extremely volatile, causing high risk to participants and potentially less investment in solar power generation. Such concerns necessitate the development of realistic, flexible and tractable models of SREC prices that capture the behavior of participants given the rules that govern the market. We propose an original stochastic model called SMART-SREC to fill this role, building on established ideas from the carbon pricing literature, and including a feedback mechanism for generation response to prices. We calibrate the model to the New Jersey market and backtest it, analyzing parameter sensitivity and demonstrating its ability to reproduce historical dynamics. Finally, we run simulations to investigate the role and impact of regulatory parameters, thus providing insight into the crucial role played by market design.