日本工伤事故瞒报问题的原因及对策分析

从经济全球化引发的雇用形态的变化入手,分析日本工伤事故瞒报问题的原因;针对已有的事故瞒报手法及危害,介绍对其防范、发现和处治的主要措施;通过对比分析中日两国事故瞒报防范工作的特点,提出更有利于事故控制预防、更有效地解决我国工伤事故瞒报问题的重要思路,即:在加大对事故瞒报单位的惩治力度、提高其违法成本的同时,还应建立针对依法报告事故单位的不惩罚机制或制定降低依法报告事故后的被处罚成本方面的规定;在行政责任追究和领导绩效考核时,不仅仅以事故后果或事故多少而是以其在强化安全管理方面"作为"与否为更重要的根据来进行。     

Economies of scale in global iron-making

In this paper, we investigate the presence of economies of scale in the global iron-making industry for integrated steel plants, iron making being the first stage in the steel-making process. Iron making depends on basic commodities, such as iron ore, coke and various forms of energy, required in the operation of the blast furnace, which can be classified as essential inputs and used in fixed proportions to produce iron. A generalized Leontief cost function is estimated using panel data for 69 integrated plants, such a specification being appropriate for technologies with essential inputs that are used in fixed proportions in production. A significant scale effect is observed due to the existence of fixed costs and a linear dependence of the cost function on production. Under a simple linear cost function, a rough estimate of the breakeven scale of plant, where costs equal revenue, is 4.5 Mt per year. Competitiveness, as measured by the ratio of plant average cost per tonne to best practice cost per tonne, can be shown to be positively related to the scale of production as well as the cost of essential inputs. Therefore, low-cost producers are also often producers with low raw material costs and production levels below the estimated breakeven scale of operation. Labor costs, although significant, are comparatively less important as a driver towards low costs.     

Green energy generation by pressure retarded osmosis: State of the art and technical advancement—review

Pressure-retarded osmosis (PRO) is a method for converting salinity gradients to power by allowing water to flow through a semi-permeable membrane against an applied hydraulic pressure. PRO already has a long history, starting from the middle of the last century, and has rapidly improved in recent years. In this paper, we present a historical development of PRO since its inception: the development of this renewable energy process has gone through several stages, depending on technological developments, worldwide energy demands, and environmental concerns. The technological progress of the process is also studied, as well as its cost viability and environmental impact. Finally, some ideas to further develop the PRO process and mitigate its detrimental effects are discussed.     

基于数据包络分析的水污染物排放指标初始分配方法与案例研究

基于数据包络分析(DEA)的点源水污染物排放指标初始分配方法,是将基于DEA的线性规划评价方法进行改进,从而使其适用于评价企业的水环境绩效,并依此进行排污指标初始分配。将非期望产出作为投入指标处理,构造了5输入1输出的规模可变DEA模型,并以南京市280家企业的COD排放指标初始分配为例进行了分析。结果表明,方法的模拟分配结果在公平的基础上,反映了企业的环境效率,效率越高,可得到的COD排放指标也越高,这将对企业治污起到激励作用,分配方法具有一定的可操作性;对案例企业进行分组并实行组内参评,基本可以避免部分极值原始数据对评价结果的影响,得到的COD排放指标分配结果也更为合理。     

城市大气环境治理成本核算及其总量、结构分析——以西安市为例

基于单位成本分析模型对2000—2009年西安市大气环境治理的价值量进行了系统核算,并从总量与结构两方面对核算结果进行了深入和全面的分析。结果表明,从西安市历年大气环境的实际治理成本(除2002、2006、2009年)来看,该市在大气环境治理方面的投资基本上逐年增加,但是增加幅度较小,而大气环境虚拟治理成本在一般年份(除2002、2006、2009年)总体上呈现先增加后减小的变化趋势。可见,西安市为改变环境污染状况,不断增加大气环境治理方面的投资,但在初期治理资金缺口仍在增加,而随着投资的持续增加,许多大气环境治理设施的建立与作用的发挥,大气环境污染状况逐渐减轻,治理资金缺口开始变小;在核算年份中,西安市工业大气环境污染治理的重点主要放在了烟尘方面,城镇生活SO2虚拟治理成本在生活废气总虚拟治理成本中所占比例最高。最后,针对发现问题,对该市今后大气环境治理工作的方向和措施给出了建议。     

湖库型水体总氮总量控制目标的区域分配研究

基于层次分析法原理,以资源禀赋、社会经济、农业生产生活、污染治理水平为主要考虑因素设计指标体系和层次结构,建立了湖库型水体总氮总量控制目标分配方法,并在石头口门水库流域进行了应用,为湖库型水体总氮总量控制目标分配及石头口门水库流域总氮总量控制提供借鉴。     

资源环境约束下的中国经济增长质量研究

现有对于资源环境与经济增长之间关系的研究主要是在经济增长数量分析的框架下展开分析,而很少从经济增长质量分析的框架入手进行考察。经济增长质量是指经济增长内在的性质与规律,具体包括经济增长的结构、经济增长的稳定性、福利变化与成果分配以及资源利用和生态环境代价四个维度。当资源利用效率不断提高和生态环境代价逐渐降低时,经济增长质量都将会得到提高。本文从经济增长质量视角出发,采用国际规范的逻辑实证主义分析方法,以中国经济转型时期的省级面板数据为样本对改革开放以来中国资源环境代价与经济增长质量之间的关系进行理论研究与实证考察。研究表明:模型的估计结果与理论研究的结论是一致的,中国经济转型期资源环境代价与经济增长质量之间存在显著的正向关系。因此,在中国经济发展进入新阶段的背景下,在经济增长数量不断扩张的同时,还需要不断改进经济增长的资源利用效率和生态环境代价,要实现经济增长的数量与质量的统一,追求中国经济发展的长期可持续性。     

煤炭资源开采环境污染物影子价格的估计——基于安徽煤炭企业的调查数据

环境污染物的影子价格体现了污染物的边际减排成本,是政府制定公共环境政策的重要依据。本文在环境技术的基础上,扩展了传统的产出方向性距离函数方法,进而构建了能够将多种环境污染物的影子价格进行综合估测新的影子价格模型。采用这种新的模型方法和安徽煤炭开采和洗选企业的样本数据,对煤炭资源开采利用过程中排放的三种主要环境污染物——废水、废气和固体废物的影子价格进行了估计。结果发现,2009年,安徽煤炭开采和洗选企业所排放的废水、废气和固体废物的平均影子价格分别为0.021 6万元/t、0.031 37万元/t和0.178 48万元/t。这三种环境污染物的影子价格存在差异,反映出安徽煤炭开采企业处理不同环境污染物所面临的环境成本是不同的。环境行为监管者在做出环境规制决策前要充分考虑到这个前提。     

A multi-agent simulation model for spatial optimisation of manure allocation

The EU Nitrate Directive has spurred many countries to regulate manure production and manure application. Farmers have three allocation options: spreading manure on their own land, transporting manure to other farmers' land or processing manure. The manure problem can be seen as an allocation problem. To better understand this allocation problem, we have developed the spatial mathematical programming multi-agent simulation (MP-MAS) model. This model has been applied in Flanders, Belgium, a region with a high concentration of livestock. The model evaluates the cost efficiency of policy intervention in the manure market through obliged processing. We propose to further optimise the policy using a regionally differentiated manure pressure indicator, which is directly derived from the dual outcome of the mathematical programme. This indicator increases transparency in the manure and processing market, leading to better decision support about location and type of manure processing.     

An Objective Multiattribute Analysis Approach for Allocation of Scarce Irrigation Water Resources1

Zardari, Noor ul Hassan, Ian Cordery, and Ashish Sharma, 2010. An Objective Multiattribute Analysis Approach for Allocation of Scarce Irrigation Water Resources. Journal of the American Water Resources Association (JAWRA) 46(2):412-428. DOI: 10.1111/j.1752-1688.2009.00410.x Abstract: In this study, end user (farmer) and decision maker (water allocator) opinions were surveyed and a conjoint analysis (CA) based method was applied to the quantitative and qualitative data to assess the utility associated with each attribute that plays a role in forming the final thinking of the water users. The application of CA for estimating the utility for each attribute level is a novel approach, which helps provide a formal, objective basis for assigning relative scales for each attribute interval within a multiattribute decision-making model. The utilities (part-worths) obtained from the CA have a cardinal scale and were found to be comparable within and across the attributes. A farmers’ survey on five water allocation attributes was completed from 62 farmers and their opinions on the relative importance of attributes were elicited for a subarea of the Indus River Basin. The CA method was then applied to the survey data and the utilities for each attribute level were determined. This allowed, for instance, decisions to be made, which take account of the perceived value of the water and of the availability of local labor to work on the farm. Finally, these interval scales were used within the specification of the ELECTRE multiattribute decision-making method to provide a complete and objective ranking of nine irrigation districts so that the best decisions on water allocation could be made.