美国减灾的应急及社会联动机制研究——以卡特里娜飓风为例

卡特里娜飓风是美国历史上最严重的一次自然灾害.本文从法律依据和国家灾难恢复和反应框架入手分析美国政府、社会各方对卡特里娜飓风灾害的应急反应和灾难恢复体系,从社会参与角度探讨美国的灾难联动参与反应机制,从新奥尔良市Broadmoor社区的恢复重建过程剖析美国的自下而上的社区主导型恢复重建体制,美国特色的防灾减灾社会联动机制能对加强和完善我国应急反应体系,对建设符合我国国情的减灾救灾社会参与机制提供启示与借鉴.     

建筑企业员工职业病危害认知影响因素的调查分析

随着建筑行业的持续快速发展,建筑企业作业场所中的职业病危害呈现出高发性、复杂性和持续性等特点.通过针对建筑企业员工的实际状况设计调查问卷获取第一手资料,并运用SPSS17.0统计软件建立相关分析、回归分析等模型进行数据分析,可以得知建筑企业作业场所员工遭受职业病危害的可能性与对安全知识的了解程度、从业时间、性别及文化背景这四个因素的线性相关性.通过对建筑企业作业人员职业病危害的调查与分析,辨识出影响职业病危害的人为因素,提出相关的建议措施以改善建筑企业作业场所职业病危害严重的局面,提高建筑企业员工自我保护意识,增加其职业病危害防护知识,减少职业病危害事故的发生.     

Citizen feedback in a fragile setting: social accountability interventions in the primary healthcare sector in Sierra Leone

Fragile and conflict‐affected states are frequently characterised by their inability to fulfil three core governance functions: provision of security, effective delivery of basic public goods and services, and managing political participation and accountability. This article explores the utility of social accountability interventions in fragile environments. Successful social accountability interventions can lead to joint examinations of public service standards by service‐users and providers, resulting in collaborative improvement efforts. The few available studies of such interventions implemented in fragile or conflict‐affected states show reasons for optimism as well as challenges. This article advocates the continued use of social accountability methods in fragile settings and provides examples of social accountability interventions in the health sector in Sierra Leone. The study suggests that social accountability can improve interaction between citizens and public service providers. Successful social accountability interventions can also lead to better quality and more accessible public services, which, in turn, can enhance state legitimacy.     

Local governance of energy transition: sustainability,transactions and social ties. A case study in Northeast France

This paper tackles the process of energy transition from a transactional perspective. It addresses the governance of energy transition by studying its local actualizations, moving beyond purely technical and normative readings. The paper shows that through the local socio-technological energy systems, sustainability governance filters down to the level of individual, everyday behavior, thus questioning the link between public and private spaces, especially regarding the issue of housing. Going beyond the results commonly yielded by transition studies, which favor large-scale analysis, it details how the discourse of citizen involvement, which often boils down to a mere call to control one’s individual energy consumption, conceals environmental inequalities, confirming the socioeconomic divide materialized in deprived areas such as public housing estates or remote rural areas. From a methodological standpoint, the analysis is based on four case studies in Northeast France, in more or less privileged areas, and in both urban and rural environments: the renovation of a heating network in the public housing estate of Cité de l’Ill, north of Strasbourg; the solar energy systems designed for property owners in Plobsheim, a residential suburb of Strasbourg; the energy-efficient equipment set up in a public housing estate in the city of Saint-Dié, in the Vosges; and citizen participation in a cooperative program to finance wind turbines in the small Alsacian city of Saâles, in a mountain rural area. The paper draws on the results of these sociological investigations, carried out using field observations, questionnaires and interviews.     

Perceived importance of sustainability dimensions in the Portuguese metal industry

The growing interest of stakeholders regarding the contribution of organizations to Sustainable Development is influencing organizational behavior and strategic planning. The purpose of the present paper is to analyze the perception of the importance of organizational sustainability dimensions in a relevant economic sector: the metal industry. Survey data was collected from a sample of 211 Portuguese industries, and non-parametric statistical tests were used to validate five research hypotheses regarding the importance of the economic, environmental, social and cultural dimensions of sustainability. The results obtained demonstrate awareness of the sampled industries regarding all sustainability dimensions, recognizing that their importance has been increasing over the years, and prospecting that this importance will continue to increase in the future. The industries in this sample revealed different degrees of perceived importance for the different sustainability dimensions: the highest importance was given to the economic dimension, and culture was considered the least important sustainability dimension. However, the perception of the respondents is that these differences will be less relevant in the future. The results also show that companies with certified management systems reveal a higher perceived importance regarding sustainability dimensions. Also, industries with higher values of annual turnover, number of employees and export sales tend to give higher degrees of importance to sustainability dimensions. Considering the economic, environmental and social impacts of metal industries at an international level, the awareness of this industrial sector regarding the importance of sustainability is a relevant step to the commitment towards Sustainable Development.     

Barriers to worldwide institutionalization of social and environmental disclosure

This study analyzes how groups of organizations that share their social and environmental information are formed in a similar way to identify barriers to the homogenization of social and environmental disclosure (SED) at the international level. Based on a sample of observations of listed firms from six different countries, results suggest that SED does not homogenize globally, spontaneously, because of cultural and geographical barriers. The institutions of environmental disclosure (ED) and social disclosure (SD) are different, thus forming different organizational fields at the international level. The spoken language is a barrier to the international isomorphism of ED and therefore to its comparability. However, language is a less important barrier to SD. When cultural institutions are weaker or have the same roots as North American institutions, cultural diversity does not stop the homogenization of the SD. Moreover, the ED is more isomorphic/comparable at the global level than SD, while the SD is more isomorphic/comparable at the level of culturally distinguishable subsets than ED.     

The business case for SDGs: an analysis of inclusive business models in emerging economies

In September 2015, the Sustainable Development Goals (SDGs) were endorsed by the United Nations and adopted by all 193 Member States. The SDGs integrate the 5P’s: People, Planet, Prosperity, Peace, and Partnership and clearly stress the need for all stakeholders to collaborate to create a sustainable world. Most importantly, the SDGs appeal to the central and diverse role that the business sector can play to deliver on the SDGs. This paper provides an analysis of inclusive business (IB) models as market-based solutions to contribute to the achievement of the SDGs and benefit those at the Base of the Pyramid (BoP). We investigate the IB models and their social impact in 20 organizations from emerging economies across five different sectors. The findings should help increase the uptake and scale of quality IB models and practices among the private sector, development communities, and governments to promote inclusive economic growth and social impact.     

Systematic review of conservation interventions to promote voluntary behavior change

Understanding human behavior is vital to developing interventions that effectively lead to proenvironmental behavior change, whether the focus is at the individual or societal level. However, interventions in many fields have historically lacked robust forms of evaluation, which makes it hard to be confident that these conservation interventions have successfully helped protect the environment. We conducted a systematic review to assess how effective nonpecuniary and nonregulatory interventions have been in changing environmental behavior. We applied the Office of Health Assessment and Translation systematic review methodology. We started with more than 300,000 papers and reports returned by our search terms and after critical appraisal of quality identified 128 individual studies that merited inclusion in the review. We classified interventions by thematic area, type of intervention, the number of times audiences were exposed to interventions, and the length of time interventions ran. Most studies reported a positive effect (n = 96). The next most common outcome was no effect (n = 28). Few studies reported negative (n = 1) or mixed (n = 3) effects. Education, prompts, and feedback interventions resulted in positive behavior change. Combining multiple interventions was the most effective. Neither exposure duration nor frequency affected the likelihood of desired behavioral change. Comparatively few studies tested the effects of voluntary interventions on non-Western populations (n = 17) or measured actual ecological outcome behavior (n = 1). Similarly, few studies examined conservation devices (e.g., energy-efficient stoves) (n = 9) and demonstrations (e.g., modeling the desired behavior) (n = 5). There is a clear need to both improve the quality of the impact evaluation conducted and the reporting standards for intervention results.     

Microtargeting for conservation

Widespread human action and behavior change is needed to achieve many conservation goals. Doing so at the requisite scale and pace will require the efficient delivery of outreach campaigns. Conservation gains will be greatest when efforts are directed toward places of high conservation value (or need) and tailored to critical actors. Recent strategic conservation planning has relied primarily on spatial assessments of biophysical attributes, largely ignoring the human dimensions. Elsewhere, marketers, political campaigns, and others use microtargeting—predictive analytics of big data—to identify people most likely to respond positively to particular messages or interventions. Conservationists have not yet widely capitalized on these techniques. To investigate the effectiveness of microtargeting to improve conservation, we developed a propensity model to predict restoration behavior among 203,645 private landowners in a 5,200,000 ha study area in the Chesapeake Bay Watershed (U.S.A.). To isolate the additional value microtargeting may offer beyond geospatial prioritization, we analyzed a new high-resolution land-cover data set and cadastral data to identify private owners of riparian areas needing restoration. Subsequently, we developed and evaluated a restoration propensity model based on a database of landowners who had conducted restoration in the past and those who had not (n = 4978). Model validation in a parallel database (n = 4989) showed owners with the highest scorers for propensity to conduct restoration (i.e., top decile) were over twice as likely as average landowners to have conducted restoration (135%). These results demonstrate that microtargeting techniques can dramatically increase the efficiency and efficacy of conservation programs, above and beyond the advances offered by biophysical prioritizations alone, as well as facilitate more robust research of many social–ecological systems.     

Emergent conservation outcomes of shared risk perception in human-wildlife systems

Human perception of risks related to economic damages caused by nearby wildlife can be transmitted through social networks. Understanding how sharing risk information within a human community alters the spatial dynamics of human-wildlife interactions has important implications for the design and implementation of effective conservation actions. We developed an agent-based model that simulates farmer livelihood decisions and activities in an agricultural landscape shared with a population of a generic wildlife species (wildlife-human interactions in shared landscapes [WHISL]). In the model, based on risk perception and economic information, farmers decide how much labor to allocate to farming and whether and where to exclude wildlife from their farms (e.g., through fencing, trenches, or vegetation thinning). In scenarios where the risk perception of farmers was strongly influenced by other farmers, exclusion of wildlife was widespread, resulting in decreased quality of wildlife habitat and frequency of wildlife damages across the landscape. When economic losses from encounters with wildlife were high, perception of risk increased and led to highly synchronous behaviors by farmers in space and time. Interactions between wildlife and farmers sometimes led to a spillover effect of wildlife damage displaced from socially and spatially connected communities to less connected neighboring farms. The WHISL model is a useful conservation-planning tool because it provides a test bed for theories and predictions about human-wildlife dynamics across a range of different agricultural landscapes.