国外产业生态学研究最新进展

产业生态学作为一种系统研究方法,着重研究产业系统和自然生态系统的相互作用,通过重新设计产业活动,寻求把人类活动对生态系统的影响减少到能持续发展的水平,达到充分利用资源,消除环境破坏,协调自然、社会与经济的持续发展。本文从生态效率、产品政策、生命周期评价(LCA)、家庭可持续消费等方面介绍了近几年国外产业生态学研究的最新进展。     

Couple-Level Patterns of Disclosure Process Beliefs and Their Association with Marital Satisfaction

Abstract

Grounded in symbolic interaction theory, we used latent class analysis (LCA) to investigate the preexisting patterns of belief surrounding the disclosure process in married relationships. With a sample of 131 heterosexual married dyads from the U.S., we found four classes: two classes represented similarity of spouses’ beliefs (Both High Beliefs and Neither High Beliefs), and two classes represented dissimilarity of spouses’ beliefs (where only the wife endorsed high beliefs, Wife High Beliefs, and where only the husband did, Husband High Beliefs). Husbands’ satisfaction was positively associated with membership in the Both High Beliefs class. An interaction between spouses’ satisfaction was found: the impact of wives’ satisfaction on class membership is dependent on husbands’ satisfaction. Implications for research and practice are discussed.     

新兴国家如何应对美欧大飞机补贴新规则——美国诉欧盟大飞机WTO案件评析

波音和空客公司垄断着全球大飞机市场,双方政府都提供了巨额补贴,为此两国进行了两次诉讼。美国诉欧盟最新讼案经DSB近7年的审理,上诉机构做出终裁。裁决适用了《SCM协议》并做出新的规则解释,对欧盟各项补贴措施只予有限禁止,对第三方的"警示"作用大于对美国的"救济"作用。文章通过对该案评析,认为新兴国家应在基础设施、政府投资、贷款支持、研发资助等方面采取可行措施以应对美欧的新规则。     

Analyzing sub-population profiles and risk factors for school bullying

Drawing from a local sample of 1822 7th and 8th grade students, this study used Latent Class Analysis (LCA) and Latent Class Regression Analysis (LCRA) to identify sub-population profiles and risk factors for school bullying. Four sub-population profiles of school bullying risk were yielded from this approach. These profiles included students who presented little need for formal services as well as students who manifested needs for wrap-around support. Importantly, additional regression analyses related student membership in particular risk profile groups to the support they receive from peers, teachers, and parents. Several significant practice implications for bullying prevention and Response-to-Intervention (RTI) frameworks accompany the findings. Above all, school bullying interventions should be implemented with prudence because even the best intended ones carry the potential for harm.     

生态汽车产业集群形成机理分析与结构设计

当前汽车行业的高速发展,给生态环境造成了极大的威胁,有必要建立生态汽车产业集群以推进汽车产业的可持续发展。结合产业生态学有关理论,及我国汽车产业集群的特点,提出了生态化汽车产业集群的形成机理,包括：建立生产者责任延伸制度下的汽车产品回收利用体系,形成集群内的汽车回收利用技术支撑平台,借助汽车制造企业的渠道优势为报废汽车提供回收渠道,建立集群内的副产品交易平台等。在此基础上,分析了建立本集群所需解决的关键问题,并应用生命周期评价理论,进行了生态化汽车产业集群的基本结构设计。     

Assessing human health response in life cycle assessment using ED10s and DALYs: part 1--Cancer effects.

Life cycle assessment (LCA) is a framework for comparing products according to their total estimated environmental impact, summed over all chemical emissions and activities associated with a product at all stages in its life cycle (from raw material acquisition, manufacturing, use, to final disposal). For each chemical involved, the exposure associated with the mass released into the environment, integrated over time and space, is multiplied by a toxicological measure to estimate the likelihood of effects and their potential consequences. In this article, we explore the use of quantitative methods drawn from conventional single-chemical regulatory risk assessments to create a procedure for the estimation of the cancer effect measure in the impact phase of LCA. The approach is based on the maximum likelihood estimate of the effect dose inducing a 10% response over background, ED10, and default linear low-dose extrapolation using the slope betaED10 (0.1/ED10). The calculated effects may correspond to residual risks below current regulatory compliance requirements that occur over multiple generations and at multiple locations; but at the very least they represent a "using up" of some portion of the human population's ability to accommodate emissions. Preliminary comparisons are performed with existing measures, such as the U.S. Environmental Protection Agency's (U.S. EPA's) slope factor measure q1*. By analyzing bioassay data for 44 chemicals drawn from the EPA's Integrated Risk Information System (IRIS) database, we explore estimating ED10 from more readily available information such as the median tumor dose rate TD50 and the median single lethal dose LD50. Based on the TD50, we then estimate the ED10 for more than 600 chemicals. Differences in potential consequences, or severity, are addressed by combining betaED10 with the measure disability adjusted life years per affected person, DALYp. Most of the variation among chemicals for cancer effects is found to be due to differences in the slope factors (betaED10) ranging from 10(-4) up to 10(4) (risk of cancer/mg/kg-day).     

Assessing human health response in life cycle assessment using ED10s and DALYs: part 2--Noncancer effects.

In Part 1 of this article we developed an approach for the calculation of cancer effect measures for life cycle assessment (LCA). In this article, we propose and evaluate the method for the screening of noncancer toxicological health effects. This approach draws on the noncancer health risk assessment concept of benchmark dose, while noting important differences with regulatory applications in the objectives of an LCA study. We adopt the centraltendency estimate of the toxicological effect dose inducing a 10% response over background, ED10, to provide a consistent point of departure for default linear low-dose response estimates (betaED10). This explicit estimation of low-dose risks, while necessary in LCA, is in marked contrast to many traditional procedures for noncancer assessments. For pragmatic reasons, mechanistic thresholds and nonlinear low-dose response curves were not implemented in the presented framework. In essence, for the comparative needs of LCA, we propose that one initially screens alternative activities or products on the degree to which the associated chemical emissions erode their margins of exposure, which may or may not be manifested as increases in disease incidence. We illustrate the method here by deriving the betaED10 slope factors from bioassay data for 12 chemicals and outline some of the possibilities for extrapolation from other more readily available measures, such as the no observable adverse effect levels (NOAEL), avoiding uncertainty factors that lead to inconsistent degrees of conservatism from chemical to chemical. These extrapolations facilitated the initial calculation of slope factors for an additional 403 compounds; ranging from 10(-6) to 10(3) (risk per mg/kg-day dose). The potential consequences of the effects are taken into account in a preliminary approach by combining the betaED10 with the severity measure disability adjusted life years (DALY), providing a screening-level estimate of the potential consequences associated with exposures, integrated over time and space, to a given mass of chemical released into the environment for use in LCA.     

Parameter Uncertainty and Variability In Evaluative Fate and Exposure Models

The human toxicity potential, a weighting scheme used to evaluate toxic emissions for life cycle assessment and toxics release inventories, is based on potential dose calculations and toxicity factors. This paper evaluates the variance in potential dose calculations that can be attributed to the uncertainty in chemical-specific input parameters as well as the variability in exposure factors and landscape parameters. A knowledge of the uncertainty allows us to assess the robustness of a decision based on the toxicity potential; a knowledge of the sources of uncertainty allows us to focus our resources if we want to reduce the uncertainty. The potential dose of 236 chemicals was assessed. The chemicals were grouped by dominant exposure route, and a Monte Carlo analysis was conducted for one representative chemical in each group. The variance is typically one to two orders of magnitude. For comparison, the point estimates in potential dose for 236 chemicals span ten orders of magnitude. Most of the variance in the potential dose is due to chemical-specific input parameters, especially half-lives, although exposure factors such as fish intake and the source of drinking water can be important for chemicals whose dominant exposure is through indirect routes. Landscape characteristics are generally of minor importance.     

Attitudes Toward Gays and Lesbians: A Latent Class Analysis of University Students

ABSTRACT

The profession of social work advocates for civil rights for gay men, lesbians, and bisexual persons. However, a number of social work students and practitioners harbor antigay bias that in prior variable-centered research has been determined to be related to race, relationship status, and age. The purpose of this research was to use latent class analysis (LCA), a person-centered statistical technique, to cluster 394 university student survey responses to the Attitudes Toward Lesbian and Gays short-form instrument. The analyses indicated three groups that can be profiled as unbiased, moderately biased, and highly biased. Analysis of variance and multinomial regression verified LCA findings that are consistent with prior research. The importance of selecting appropriate educational approaches to address antigay bias among social work students and practicing social workers is discussed, and recommendations for continued research, including a national random survey of social work students and licensed social workers, are made.     

基于生命周期评价法的碳足迹核算体系：国际标准与实践

对现有ISO及各国发布的LCA碳足迹核算标准体系与实践进行梳理,对不同标准间所存在的核算单位、范围等核心要素进行剥离和识别,并将各国标准置于一个比较分析的框架中。结论表明,虽然各个标准存在一些差异,但是国际化和普适性已经成为未来LAC碳足迹核算体系发展的共识。提出我国的LCA碳足迹核算标准体系应做到尽量与国际接轨的同时,还要考虑到本土特色,并增强标准的适用广度。