Organizational Factors Affecting Safety Implementation in Food Companies in Thailand

Thai food industry employs a massive number of skilled and unskilled workers. This may result in an industry with high incidences and accident rates. To improve safety and reduce the accident figures, this paper investigates factors influencing safety implementation in small, medium, and large food companies in Thailand. Five factors, i.e., management commitment, stakeholders’ role, safety information and communication, supportive environment, and risk, are found important in helping to improve safety implementation. The statistical analyses also reveal that small, medium, and large food companies hold similar opinions on the risk factor, but bear different perceptions on the other 4 factors. It is also found that to improve safety implementation, the perceptions of safety goals, communication, feedback, safety resources, and supervision should be aligned in small, medium, and large companies.     

Relationship of safety climate perceptions and job satisfaction among employees in the construction industry: the moderating role of age

This study examines the degree to which construction sector employees perceive that safety is important in their organizations/sites and how job satisfaction affects these perceptions when age is introduced as a moderator variable. Two-way analysis of variance demonstrated that job satisfaction has a strong effect on perceived management commitment to work safety and that this relationship was moderated by respondents’ age. Job satisfaction was associated with perceived accident rate and safety inspection frequency, but the proposed role of age in this linkage was not confirmed. Consequently, the findings indicated that by increasing the level of job satisfaction, perceptions of these safety climate aspects proved to be more positive. The conclusion is that these relationships could further lead to a lower percentage of accidents and injuries in the workplace and better health among employees. A significant relationship between job satisfaction, age and perceived co-workers’ commitment to work safety was not found.     

高危行业事故应急科技服务实用性平台研究

针对当前我国高危行业应急平台建设中存在事故应急救援决策支撑弱、应急救援服务能力差的缺陷,以“江苏省高危行业事故应急科技服务平台”项目为背景,提出高危行业事故应急科技服务平台的总体建设架构;并以此为基础提出建立应急信息共享,预案可视化与推演,事故后果分析模拟,应急救援决策支持,应急咨询、培训、评估,事故现场快速监测六大子平台。以期利用VR、GIS、人工智能等先进技术,从功能、系统、体系三个层面完善高危行业事故应急科技服务平台建设内容,从而为政府门提供应急决策支持、为企业和社会公众提供应急科技服务。     

兵器工业建设项目安全评价研究

兵器工业自身固有的特殊性和高危险性，决定了其开展安全评价的必要性。本文陈述了兵器工业安全生产形势和安全评价的发展，对安全评价机构选择、评价双方关系、企业态度、安全监管等问题进行了探讨，并提出需要关注的问题。     

我国民爆行业安全管理存在的主要问题及其对策

今年以来，民爆企业重、特大事故多发，安全生产日趋严峻。随着我国国民经济的快速发展，民爆行业安全问题已日益成为社会关注的热点，也成为安全监管的重点。本文从政府行业监管职责、企业主体责任两个层面存在的突出问题的剖析入手，为进一步强化民爆行业安全监督管理工作，在实施产业技术政策，落实政府监管责任，推进企业技术进步，加强企业基础管理，完善法律法规标准，深化安全专项整治，强化安全许可工作等方面提出了对策建议。     

抗生素抗性基因(ARGs)——一种新型环境污染物

抗生素的环境污染与生态毒性近年来引起了日益广泛的关注.水产养殖和畜牧业抗生素长期滥用的直接后果,很可能诱导动物体内抗生素抗性基因,经排泄后将对养殖区域及其周边环境造成潜在基因污染.抗性基因还极有可能在环境中传播、扩散.对公共健康和食品、饮用水安全构成威胁.为此,提出了将抗生素抗性基因作为一类新型环境污染物,对该类污染物在环境中的来源、潜在的传播途径以及国内外相关研究进展进行综述,指出了当前形势下我国开展环境中抗生素抗性基因污染研究的必要性,建议尽快从国家层面上系统进行抗生素抗性基因的环境污染机理与控制对策研究.     

基于经济普查引入EGSS统计框架的可行性分析

环境货物和服务部门(EGSS)统计框架是由欧盟统计署研究制定的、用于收集和整理环境产品与服务相关统计数据的方法,已经被联合国统计署纳入"环境经济统计体系(SEEA)"中,成为一项国际统计标准。中国的经济普查工作在数据采集方式上与EGSS具有较好的一致性,本文主要对我国的经济普查与EGSS统计框架进行比较研究,探索从经济普查表核算EGSS数据的方法和思路。结果表明:经济普查可作为常规统计口径核算EGSS数据的一个切入点,但是需要在数据连续性、行业小类划分、统计的经济指标范围方面进行衔接融合;基于经济普查数据引进EGSS统计框架可采取分阶段推进方式。     

Low-carbon transition of iron and steel industry in China: Carbon intensity, economic growth and policy intervention

As the biggest iron and steel producer in the world and one of the highest CO₂ emission sectors, China's iron and steel industry is undergoing a low-carbon transition accompanied by remarkable technological progress and investment adjustment, in response to the macroeconomic climate and policy intervention. Many drivers of the CO₂ emissions of the iron and steel industry have been explored, but the relationships between CO₂ abatement, investment and technological expenditure, and their connections with the economic growth and governmental policies in China, have not been conjointly and empirically examined. We proposed a concise conceptual model and an econometric model to investigate this crucial question. The results of regression, Granger causality test and impulse response analysis indicated that technological expenditure can significantly reduce CO₂ emissions, and that investment expansion showed a negative impact on CO₂ emission reduction. It was also argued with empirical evidence that a good economic situation favored CO₂ abatement in China's iron and steel industry, while achieving CO₂ emission reduction in this industrial sector did not necessarily threaten economic growth. This shed light on the dispute over balancing emission cutting and economic growth. Regarding the policy aspects, the year 2000 was found to be an important turning point for policy evolution and the development of the iron and steel industry in China. The subsequent command and control policies had a significant, positive effect on CO₂ abatement.     

基于BERT-BILSTM-CRF模型的电力行业事故文本智能分析*

为解决电力行业事故报告文本较长、语义复杂,难以进行有效文本识别问题,提出1种以BERT作为底层的预训练模型,并设计1种双重注意力机制编码器,结合BILSTM-CRF深度挖掘事故文本语义特征,从而实现文本智能分析。首先构建电力词典,通过对BERT预训练,进行BIO标注,然后引入BILSTM-CRF模型实现对文本标签智能分类,最后将该模型与现行其他4种深度学习模型进行对比。研究结果表明:该模型智能识别精确率、召回率及F1值(查准率)均达到约97%,较其他4种模型中效果最好的模型分别提高0.02,0.03,0.02。研究结果可为电力行业事故报告文本分析提供1种新思路。     

城市绿色建筑与可持续发展探析

结合我国国情,对绿色建筑的基本概念和要达到的目标进行了分析。综合可持续发展评价体系以及我国目前在绿色建筑方面的发展进程,提出全面推进绿色建筑,完善建筑业可持续发展体系的措施建议。