江苏省工业废水排放及其与环境污染治理投资的耦合关系研究

研究了1990年-2007年江苏省工业废水排放与经济增长的动态关系,结果表明1990年-2007年江苏省工业废水排放量呈现在波动中略有上升的趋势,年均增长率显著低于GDP的增长速度,工业废水并未与经济同步增加;采用库兹涅茨曲线对废水排放量与人均GDP之间的关系进行拟合发现,目前江苏省人均GDP已经超过转折点水平,因此今后一段时期随着经济的发展,废水排放量呈现下降趋势,说明江苏省环境治理取得了一定的效果;同时,研究表明江苏省各县（市、市辖区）工业废水排放大多呈现下降趋势,排放量最高区集中于苏南一带,而环境治理投资全省呈现上升趋势,全省环境治理投资额增长速度较快,以苏北地区最为明显;研究还发现废水排放量与投资额的空间耦合关系日益密切,体现了江苏省对环境治理的力度在逐步加大。     

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。     

太湖流域不同管理模式的社会经济环境系统演化模拟

基于复杂自适应系统理论构建了社会经济环境系统模型,采用计算实验方法模拟分析了太湖流域在经济优先和水环境保护优先2种管理模式下的动态演化过程,得到了农业与工业经济发展水平、就业状况和水环境改善情况的演化规律.结果表明,在综合考虑社会、经济、水环境的基础上,2种管理模式均能在一定程度上实现经济和就业的增长,同时改善水环境.环境保护优先模式虽能有效保护水环境,却会牺牲部分经济发展和就业保证.不同地区在演化过程中表现出差异性,常州和湖州经济获得较快增长;苏州、上海在就业方面做出较大贡献;无锡和苏州水环境改善效果最为明显.     

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.     

基于DCD的“安全—发展”协同治理绩效评估框架探讨

党的十九大提出“统筹发展和安全”的要求,构建相应的“安全—发展”协同治理绩效评估体系成为迫在眉睫的任务。通过运用社会基本矛盾、社会主要矛盾、社会主要矛盾主要方面的理论原理,构建“发展—应急—满意度”(Development-Contingencies-Degree of Satisfaction,DCD)的三角形绩效分析框架,设立经济发展、安全责任制、科学管理、依法行政、公共服务、安全感等一级指标,探讨若干二级和三级指标,构建“安全—发展”协同治理绩效评估指标体系框架,为检验常态与应急态协同绩效治理水平提供尺度。     

工业污染产生的经济社会原因分析及治理对策研究

面对经济高速发展带来的工业污染形势,从工业污染问题的结构性问题突出、环境风险隐患大、污染物排放总量大等三大现状入手,对工业污染问题产生的经济和社会原因进行了分析,经济原因主要是追求利益最大化,环保资金投入不足和工业生产的外部不经济性,社会原因主要是环境社会责任感不足和监督体制机制不完善,提出了积极发展循环经济,充分借助市场经济之手和完善行政管控制度的对策,得出了迫切需要加快工业污染治理的结论。     

IWRM视角下污水治理体系问题系统诊断与对策研究——以浙江省为例

基于集成水资源管理理念框架,较系统地构建了污水治理体系问题诊断指标体系并明确了诊断标准.实证研究表明,浙江省污水治理体系仍存在政策不协调,投资结构不合理,体制横向不协调、纵向不到位、职责分散,民主参与决策与监督机制不健全,排污行为监测监管不到位,经济激励不够、行业自律不足等问题.建议浙江省应进一步协调区域发展政策,优化污水治理城乡投融资结构,完善机构设置,优化部门协调,加强政府监测监管等,以提高污水治理绩效.     

政府环境监管与企业最优环境策略的博弈

随着我国经济的快速发展,伴随而来的是日趋严峻的环境污染,而在政府环境监管的背景下,各个利益相关者之间的博弈在环保效果实施中发挥了很大的作用。利用博弈论的分析方法,建立了一个关于中央政府、地方政府和企业三个利益相关者之间的利益博弈模型,通过对该模型的求解得出三方的平衡状态。最后针对如何实现政府高效监管和企业最优环境策略,向博弈三方共同努力推动社会经济可持续发展提供了相关政策建议。     

Local governance of greenhouse gas emissions from air travel

Global greenhouse gas emissions from air travel (GHG-A) are on the rise, and projections point towards a rapid growth in the coming decades. This study aims to examine how local government (cities), addresses GHG-A in their Sustainable Energy Action Plans (SEAP). To fulfil this aim, over 200 SEAPs were analysed focusing on three issues: (1) Treatment of GHG-A in local emissions inventories; (2) Policy initiatives within this domain; and (3) The cities’ perceptions of the conflicts of interests. Results showed that more than half of the cities acknowledge the challenge of GHG-A, around one third include GHG-A in their emissions inventories, and more than one quarter have initiated policy interventions. To categorise these interventions, we have added a mode ‘governing by agenda setting’ to an existing analytical framework, ‘Modes of governing’. With their authority limited to the local setting, this mode of governing is a common channel for cities to push changes at higher levels.     

A responsibility–accountability framework for private sector use of a World Heritage Area

The Great Barrier Reef (GBR) is a natural asset of global significance, spanning 2600?km’s along the Australian coastline. On the southern tip of the GBR is the Gladstone region, where high levels of industrial activity have been juxtaposed with the natural wonder, and World Heritage Listed, GBR. Given these competing local priorities, this research explores local perceptions of the GBR and its management. Exploratory analysis of 38 interviews with residents and stakeholders from Gladstone revealed a potential incongruence between environmental concern and support for more stringent management of the tourism and resources sectors on the GBR. A responsibility–accountability framework (RAF) for managing the use and protection of the GBR is developed by drawing on current theoretical frameworks and the results of the interviews. Importantly the framework highlights the importance of business responsibility combined with monitoring and control mechanisms to ensure accountability and to deliver transparency, education and partnership. Future research should apply the RAF for testing and application in other marine World Heritage Area contexts.