Climate policy support under political consensus: exploring the varying effect of partisanship and party cues

By creating attitudinal rifts among partisan voters, political polarization is expected to negatively affect chances of effectively mitigating climate change. While such expectations generally have found support, less attention has been paid to the opposite claim that political consensus should eliminate the partisan dimension in climate change politics. This study tests this claim by studying how party identification, and party cues specifically, affects public policy attitudes in a context defined by political consensus. Using data from a large online access panel in Sweden, party identification and party cues are shown to matter for policy attitudes even in a consensus context. This effect is not limited to certain issues but is found across a wide range of policies, and the effect of party cues, for a given issue, varies across parties. The implications of this study and areas for future work are discussed.     

Investigating factors affecting severity of large truck-involved crashes: Comparison of the SVM and random parameter logit model

Introduction: Reducing the severity of crashes is a top priority for safety researchers due to its impact on saving human lives. Because of safety concerns posed by large trucks and the high rate of fatal large truck-involved crashes, an exploration into large truck-involved crashes could help determine factors that are influential in crash severity. The current study focuses on large truck-involved crashes to predict influencing factors on crash injury severity. Method: Two techniques have been utilized: Random Parameter Binary Logit (RPBL) and Support Vector Machine (SVM). Models have been developed to estimate: (1) multivehicle (MV) truck-involved crashes, in which large truck drivers are at fault, (2) MV track-involved crashes, in which large truck drivers are not at fault and (3) and single-vehicle (SV) large truck crashes. Results: Fatigue and deviation to the left were found as the most important contributing factors that lead to fatal crashes when the large truck-driver is at fault. Outcomes show that there are differences among significant factors between RPBL and SVM. For instance, unsafe lane-changing was significant in all three categories in RPBL, but only SV large truck crashes in SVM. Conclusions: The outcomes showed the importance of the complementary approaches to incorporate both parametric RPBL and non-parametric SVM to identify the main contributing factors affecting the severity of large truck-involved crashes. Also, the results highlighted the importance of categorization based on the at-fault party. Practical Applications: Unrealistic schedules and expectations of trucking companies can cause excessive stress for the large truck drivers, which could leads to further neglect of their fatigue. Enacting and enforcing comprehensive regulations regarding large truck drivers’ working schedules and direct and constant surveillance by authorities would significantly decrease large truck-involved crashes.     

The Many Modalities of Social Networking: The Role of Twitter in Greens Politics

The popular microblogging service, Twitter, contains a variety of potential orientations—interpersonal, broadcast, news, advertising, public service, political, and so on—in its operation and applications. As an evolving social media platform, specificity and context are essential in understanding its significance and use-value. This paper investigates the multiple modalities of Twitter in the context of formal politics and, in particular, the Greens party in Australia. Presenting original evidence drawn from the Greens Members of Parliament and their advisers, it is shown how Twitter is mobilized in response to particular news agendas and stories, unfolding political events and processes, and an ongoing need for the Greens to speak simultaneously to committed environmentalists and the broader electorate. These uses reveal that Twitter is an important addition to the “media ecology mix” in the conduct of environmental politics, playing a direct role in political communication, strategies, and actions.     

自动监测站第三方运维管理的思考

随着自动监测技术的不断发展,其连续、稳定的监测优势正在逐步代替手工监测,各地监测部门投入了大量的资源和精力建成了大量的空气、水质自动站,在灰霾监测、河道水质监管、大环境预警方面等都起到了积极作用。由于自动站数量多,工作任务复杂繁重,因此大部分地区都采用第三方托管模式进行自动站日常运维管理。如何有效的进行权责分配、提高工作效率、减少管理摩擦等成为业主方不可回避和亟待解决的问题。根据实际管理实践,结合一些实用的管理经验,提出了一系列相关措施。     

甘肃省第三产业对经济增长贡献的实证研究

第三产业的加快发展是生产力提高和社会进步的必然结果。大力发展第三产业有利于提高工农业生产的社会化和专业化水平，有利于优化生产结构，促进市场充分发育，缓解就业压力，从而促进整个经济持续、快速和健康发展。利用1991-2009年数据，以向量自回归模型为基础，采用单位根检验、协整分析和格兰杰因果检验等方法对甘肃省第三产业与经济增长之间的关系进行了实证研究。结果表明，1991-2009年甘肃省第三产业总值对GDP的长期弹性为0．35035，第三产业对经济增长具有积极的促进作用。     

污染源在线监控系统第三方运营的探讨

环境监测是环境保护的重要基础和支撑,环境监测逐步从手工监测向自动监测过渡。为此必须建立污染物在线连续监控系统,而第三方运营是在线监控系统管理的最佳方式。     

电子废弃物物流及责任方安全职责分析

电子废弃物回收再利用属于逆向物流。阐述了我国电子废弃物物流的特点和模式,系统分析了电子废弃物物流框架,重点阐明在电子废弃物回收再利用中各责任方的安全职责：电子产品生产者具有全面责任;消费者具有经济责任和物质责任;政府管理部门具有宏观调控和监督协调责任;物流方有微观控制和安全保管的责任。     

三峡库区巫山段三期蓄水前后水质状况及其变化趋势研究

根据长江巫山段六个断面2005年和2007年枯、平、丰的水质监测结果,通过对培石断面2005年和2007年的对比,可以看出三期蓄水前后长江水质比较稳定,仍为Ⅱ类水质。通过对2005年和2007年培石断面的各实测指标比较分析可以看出DO、CODMn、BOD5、TP指标2007年均出现不同程度的下降,而NH3-N、TN则呈现升高的趋势。但各支流由于受干流回水顶托影响,水环境趋于复杂,部分河段出现水华现象,需引起高度重视。     

大型底栖动物生物评价指数比较与应用

采用不同生物指数评价河流健康,结果往往有差异,如何识别各种生物指数的关系和适用性成为亟待解决的问题.基于太子河流域大型底栖动物群落研究,比较了5种大型底栖动物生物指数评价结果的差异.结果表明,5种指数具有极显著的相关性,但由于健康等级划分标准差异,造成不同指数的健康评价等级存在一定差异.同时分析了不同指数对不同类型人为活动影响的敏感性,研究其在河流健康评价中的适用性.结果表明在太子河流域中,BI指数与土地利用类型和溶氧具有较好的相关关系,对这两类的干扰具有较好的指示作用;FBI指数对酸污染和氨氮污染具有较强的指示作用;ASPT指数与耗氧相关的水质指标有较强的负相关;B-IBI指数与总氮呈显著的负相关关系,可较好指示氮污染,而且B-IBI指数与其他类型人为干扰活动均呈显著的相关关系,对土地利用和水质污染也具有较好的指示作用.综上所述,大型底栖动物BI指数和ASPT指数应该分别适用于评价流域土地利用和水化学指标对河流生态系统的影响,而B-IBI可用于评估多种类型人为干扰活动.     

深圳地铁施工影响区环境安全与第三方监测

在讨论如何确保地铁施工影响区环境安全的基础上 ,给出了深圳地铁土建施工第三方监测的概念 ,详细阐述了第三方监测的目的、作用、管理体系、实施内容和工作程序 ,论述了第三方监测与业主、承包商、监理之间的关系。深圳地铁建设的实践表明 ,第三方监测是业主确保地铁施工影响区环境安全的有效管理模式 ,在地铁建设中极有推广价值。