Using institutional ethnography's ideological circle to portray how textually mediated disability discourse paralysed a Supreme Court of Canada ruling

Persons with disabilities created through texts as damaged goods are being ‘cured’ by workplace accommodation, a textually mediated work process. Prior to 1999, workplace accommodation in the Canadian federal public service signified the adjustments necessary to enable a disabled worker to fit into a workplace designed for able-bodied workers. In 1999, a Supreme Court of Canada (SCC) ruling known as Meiorin turned this accommodation provision on its head. Instead of being focused on individual-level fixes so that a disabled worker could be accommodated in an existing workplace, this legislation required employers to transform their workplaces so as to make them ready to receive as many different types of workers as reasonably possible from the outset. Using Dorothy E. Smith's institutional ethnography, I use my experiences as a disability rights activist employed in the Canadian federal public service to explicate how textually mediated disability discourse paralysed this groundbreaking SCC ruling.     

Evidence for hedge fund predictability from a multivariate Student's t full-factor GARCH model

Extending previous work on hedge fund return predictability, this paper introduces the idea of modelling the conditional distribution of hedge fund returns using Student's t full-factor multivariate GARCH models. This class of models takes into account the stylized facts of hedge fund return series, that is, heteroskedasticity, fat tails and deviations from normality. For the proposed class of multivariate predictive regression models, we derive analytic expressions for the score and the Hessian matrix, which can be used within classical and Bayesian inferential procedures to estimate the model parameters, as well as to compare different predictive regression models. We propose a Bayesian approach to model comparison which provides posterior probabilities for various predictive models that can be used for model averaging. Our empirical application indicates that accounting for fat tails and time-varying covariances/correlations provides a more appropriate modelling approach of the underlying dynamics of financial series and improves our ability to predict hedge fund returns.     

Financial policy innovation for social change: a case study of China's green credit policy

Financial policy impacts on a range of social issues such as poverty alleviation, education, pollution control, etc. Making good use of financial policy and applying innovation to existing financial systems can generate positive outcomes for society. This article is to discuss the case of green credit policy in China. This policy was jointly announced in 2007 by financial and environmental regulators. According to this policy, banks were encouraged to give more loans to environmental friendly companies than to others. Such policy has made great progress, and it became a more formal document entitled ‘Green Credit Guideline’ in 2012. This guideline included a comprehensive definition on green credit and specified several requirements at practical levels. Despite the great success, challenges of implementing such policy still remain. First, information about corporate environmental performance is insufficient; second, market incentives for green credit policy are not high enough; third, most banking staff lack knowledge and capacity to handle environmental affairs. Nevertheless, this case still sheds light on how financial policy innovation drives social changes. The key is to identify the connection between social issues and financial issues, and then to make a business case that creates pressures or incentives for financial institutions. This requires a market where social and environmental cost is appropriately priced and internalized to those who generate it. Ideally, financial policies should help shape such a market so that society can share values created by financial institutions.     

A Diversity Index for Model Space Selection in the Estimation of Benchmark and Infectious Doses via Model Averaging

In chemical and microbial risk assessments, risk assessors fit dose‐response models to high‐dose data and extrapolate downward to risk levels in the range of 1–10%. Although multiple dose‐response models may be able to fit the data adequately in the experimental range, the estimated effective dose (ED) corresponding to an extremely small risk can be substantially different from model to model. In this respect, model averaging (MA) provides more robustness than a single dose‐response model in the point and interval estimation of an ED. In MA, accounting for both data uncertainty and model uncertainty is crucial, but addressing model uncertainty is not achieved simply by increasing the number of models in a model space. A plausible set of models for MA can be characterized by goodness of fit and diversity surrounding the truth. We propose a diversity index (DI) to balance between these two characteristics in model space selection. It addresses a collective property of a model space rather than individual performance of each model. Tuning parameters in the DI control the size of the model space for MA.     

An Integrated Risk Assessment Model of Township‐Scaled Land Subsidence Based on an Evidential Reasoning Algorithm and Fuzzy Set Theory

Land subsidence risk assessment (LSRA) is a multi‐attribute decision analysis (MADA) problem and is often characterized by both quantitative and qualitative attributes with various types of uncertainty. Therefore, the problem needs to be modeled and analyzed using methods that can handle uncertainty. In this article, we propose an integrated assessment model based on the evidential reasoning (ER) algorithm and fuzzy set theory. The assessment model is structured as a hierarchical framework that regards land subsidence risk as a composite of two key factors: hazard and vulnerability. These factors can be described by a set of basic indicators defined by assessment grades with attributes for transforming both numerical data and subjective judgments into a belief structure. The factor‐level attributes of hazard and vulnerability are combined using the ER algorithm, which is based on the information from a belief structure calculated by the Dempster‐Shafer (D‐S) theory, and a distributed fuzzy belief structure calculated by fuzzy set theory. The results from the combined algorithms yield distributed assessment grade matrices. The application of the model to the Xixi‐Chengnan area, China, illustrates its usefulness and validity for LSRA. The model utilizes a combination of all types of evidence, including all assessment information—quantitative or qualitative, complete or incomplete, and precise or imprecise—to provide assessment grades that define risk assessment on the basis of hazard and vulnerability. The results will enable risk managers to apply different risk prevention measures and mitigation planning based on the calculated risk states.     

Potential of decentralized wastewater management for urban development: Case of Bangkok

Decentralized wastewater management (DWWM) has recently gained much attention in wastewater management (WWM) due to its build-as-you-go principal. Rapid urban development and the widespread impact of wastewater require sustainable ways to test the DWWM approach. This paper aims to examine and discuss the potential of Bangkok’s current WWM approaches for urban development, focusing on decentralized management approaches. General WWM approaches were examined using case study research methods. Three WWM cases were selected for detailed investigation. Residential wastewater user surveys and expert interviews were used to support system performance findings of service providers and recipients, as well as to draw lessons learned. Results show that DWWM is economically and technically efficient, demonstrating potential for sustainable urban development (SUD) in the study area. The competitive cost found is a result of less sewer line, simple technology, and limited additional costs, while the high efficiency is a result of good operation and maintenance. Also the reclaimed water has been used for landscape irrigation of the urban greenery. Sustainability of the system lies in social value of public amenity it provides, and the urban planning implication that it could be an option for smart growth. The results also show that even in an inner urban area DWWM does not conflict with any SUD considerations. Thus, the study recommends using DWWM for new development within both public and private properties based on Bangkok’s case as part of long-term urban development.     

Is the Precautionary Principle Really Incoherent?

The Precautionary Principle has been an increasingly important principle in international treaties since the 1980s. Through varying formulations, it states that when an activity can lead to a catastrophe for human health or the environment, measures should be taken to prevent it even if the cause‐and‐effect relationship is not fully established scientifically. The Precautionary Principle has been critically discussed from many sides. This article concentrates on a theoretical argument by Peterson (2006) according to which the Precautionary Principle is incoherent with other desiderata of rational decision making, and thus cannot be used as a decision rule that selects an action among several ones. I claim here that Peterson's argument fails to establish the incoherence of the Precautionary Principle, by attacking three of its premises. I argue (i) that Peterson's treatment of uncertainties lacks generality, (ii) that his Archimedian condition is problematic for incommensurability reasons, and (iii) that his explication of the Precautionary Principle is not adequate. This leads me to conjecture that the Precautionary Principle can be envisaged as a coherent decision rule, again.     

Tomorrow's Leaders and Today's Agents of Change? Children,Sustainability Education and Environmental Governance

Children are central to the rhetoric supporting global climate agreements, yet they are also envisaged to play a strategic role in materialising such agreements. Along with other household actors, children are implicated in localised efforts to manage global resource sustainability. As learners in educational systems that are being redesigned to encompass messages of sustainability, children are moreover positioned as ‘agents of change’ through sustainability education. Drawing on theoretical work on children's agency and interdependence, this review calls for greater attention to the structural and relational dimensions of environmental knowledge transmission to inform sustainability education. This is presented as one move towards constructing what Middlemiss (2014) terms a more ‘socially sensitive’ model of sustainable development.     

What can microblog exchanges tell us about food safety crises in China?

The affordance of microblogging services has made them an ideal tool for communicating risk and crisis. However, research on social media and risk communication is still in its infancy. This study, following the uses and gratifications framework, attempts to give some insight into the way micro-bloggers communicate about risk by investigating food safety communications on the microblogging service in China. A content analysis was conducted on 6186 microblog posts relating to 12 recent food safety incidents in China. A series of bivariate chi-square tests was conducted to test the association between micro-bloggers and gratifications. The results indicate that different types of micro-bloggers gratify different needs. Compared to other types of micro-bloggers, the general public tends to use microblogging to express opinions on food safety incidents, regulation and/or policy, rather than simply disseminating information; members of the public enjoy fewer multimedia affordances in their microblog posting but express more negative feelings. Although we anticipate growth in the use of social media in environmental health communication, caution is still needed: communication in China still follows a traditional top-down pattern.     

澳大利亚生态环境保护的举措及经验借鉴

澳大利亚在发展经济的同时,较早地对生态环境进行有效保护,使经济发展与生态环境相互协调,同步推进;澳大利亚把生态环境保护纳入国家战略、建立全民参与的环境保护机制、坚持依法依规治理环境、实现城市建设和管理的生态化、强调尊重自然规律等,都是值得学习和借鉴的一些成功做法;当然,澳大利亚在生态环境保护方面也存在一些利己主义行为,对全球环境保护不利。