海岛居民环境友好行为及其影响因素研究--以长岛县为例

海岛是海洋生态系统的重要组成部分,保护海岛生态环境是推进海洋生态文明建设、保护海洋生态环境的重要方面。海岛居民是保护海岛生态环境的主体之一,研究海岛居民环境友好行为的影响因素,引导和鼓励海岛居民主动采取环境友好行为是改善海岛生态环境的有效途径。本研究在梳理国内外相关文献的基础上,对海岛居民环境友好行为的概念、类型及影响因素进行理论分析,建立包含生态管理行为、消费行为、说服行为、公民行为四个环境友好行为变量,环境态度、环境保护知识、环境经历、社会政策、行为约束五个影响因素变量在内的理论模型。结合海岛生态环境和海岛居民的特点,设计海岛居民版环境友好行为测量量表,并在长岛县进行问卷调查,运用描述性统计分析、结构方程模型分析探究海岛居民环境友好行为的影响因素及影响因素间的内在关系。研究发现:①海岛居民环境友好行为总体水平差异较大,难度较低的环境友好行为实施较好,而难度较高的实施较差;影响因素变量中,环境态度积极,环境经历丰富,环境保护知识掌握较好,相关社会政策较为不利,行为约束偏中性。②环境态度、环境经历、社会政策对海岛居民环境友好行为具有显著正向影响。③环境保护知识对环境态度具有显著正向影响,但对海岛居民环境友好行为无显著影响,存在“知易行难”现象。行为约束对海岛居民环境友好行为无显著影响。④环境经历不仅直接影响海岛居民环境友好行为,而且通过环境态度对海岛居民环境友好行为施加间接影响。基于研究结论,提出了改善海岛居民环境友好行为的对策建议。     

The role of coalitions in disaster policymaking

Disasters have the potential to act as focusing events, which can increase the amount of attention on disaster‐related problems and encourage policy action. Understanding of the political characteristics of disaster policymaking is underdeveloped, yet it is known that these features may be dissimilar to those of non‐disaster policy areas, especially concerning the coalitions of policy actors engaged in the disaster policy process. Coalitions in the realm of disaster policy processes may be less likely to form, may look very different, and may have different goals than those in non‐disaster domains. Knowledge of the emergence, composition, and purpose of coalitions in disaster policy is lacking. This paper draws on prior theory and case observations to define and describe the characteristics of a disaster policy subsystem and to build a typology of coalitions that may appear within such a subsystem, providing a foundation upon which scholars can work to study coalition dynamics in disaster policy subsystems.     

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.     

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.     

Models-as-usual for unusual risks? On the value of catastrophic climate change

We study the role of intertemporal preference representations in a model of economic growth, stock pollutant and endogenous risk of catastrophic collapse. We contrast two polar instances of risk-sensitive preferences: the traditional “discounted utility” model, which imposes a positive rate of pure time preference and risk neutrality with respect to intertemporal utility, and multiplicatively separable preferences, which display risk aversion in that dimension but no pure time preferences. We show that both representations of preferences can rationalize the same economy when there is no collapse risk associated with pollution. Once we introduce a collapse risk whose hazard rate depends on the pollution stock, multiplicatively separable preferences are associated with a much higher value of catastrophic risk reduction, and a more stringent policy response. A relatively high discount rate may thus be compatible with large emissions abatement in the face of a low probability large impact event, reflecting preferences for catastrophic risk reduction.     

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.     

滇池流域水污染防治财政投资政策绩效评估

滇池流域水污染防治巨额的治理投资尚未带来根本性的水质改善,因此,开展滇池流域水污染防治财政投资政策绩效评估研究,对提高投资资金的效益和效率具有重要意义.为此,本文利用数据包络分析(DEA)的方法,应用数据包络C2R模型和BC2模型,对2001—2012年滇池流域水污染防治财政投资政策绩效进行了评估.结果表明,2001—2012年滇池流域水污染防治投资综合效率值均值为0.708,总体效率水平不是很高,且只有2001年、2006年和2010年DEA有效,DEA无效年份中2011年效率值最低为0.441;影响滇池流域水污染防治投资综合效率的主要因素为城镇污水处理率和滇池综合营养状态指数(外海),同时,工程治理投资和面源污染治理投资存在较多冗余.因此,未来滇池治理可适当调整工程治理和面源污染投资金额,进一步提高城市污水的收集和处理率,以减少污水的排放和降低入湖污染负荷.     

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.     

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.     

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.