Costs of air pollutants from shipping: a meta-regression analysis

ABSTRACT

This study estimated the external cost of air pollution from shipping by means of a meta-regression analysis, which has not been made before. Three pollutants, which were included in most of the primary studies, were considered: nitrogen oxides (NO_x), sulphur dioxides (SO₂) and particulate matters with a diameter of max 2.5 micrometres (PM_2.5). All primary studies included damages of health and a majority added impacts on agriculture and estimated the cost of air pollutants by transferring cost estimates from studies on costs of air emissions from transports in Europe. Different regression models and estimators were used and robust results were found of statistically significant emission elasticities of below one, i.e. total external costs increase by less than 1% when emissions increase by 1%. There was a small variation between the pollutants, with the highest elasticity for PM_2.5 and lowest for NO_x. Calculations of the marginal external cost of the pollutants showed the same pattern, with this cost being approximately six times higher for PM_2.5 than for the other pollutants. Common to all pollutants was that the marginal external cost decreases when emission increases. Another robust result was a significant increase in the cost of studies published in journals compared with other publication outlets. These findings point out some caution when transferring constant external unit cost of air pollutant from shipping, which is much applied in the literature, and the cost functions estimated in this study could thus provide a complementary transfer mechanism.     

Maritime security guidelines: a study of Swedish ports’ perceived barriers to compliance

ABSTRACT

Due to the constant risk of piracy and terrorist attacks which cause disturbances within international shipping of goods, barriers to the adoption of maritime security guidelines (MSGs) at European ports have become prevalent. In this paper, a conceptual framework was created to explore the perceived barriers that prevent compliance with MSGs. To verify the conceptual framework, empirical data were collected using a mixed-methods approach, which was comprised of interviews with national experts and a survey of 47% of Swedish ports involved in the shipping of goods. According to the presented framework, the perceived barriers of Swedish ports to compliance with MSGs were linked to collaborations within the Swedish Maritime Security stakeholder network, available resources and educational knowledge about security culture. In addition, the perceived barriers of smaller ports were linked to the adaptation to MSGs at different levels and the absence of specific tools of maritime security management. Due to an increased interest in international shipping of goods, this paper is currently one of few that addresses the barriers to compliance with MSGs. Moreover, the paper presents a general conceptual framework, novel managerial implications and recommendations for future research.     

论海上危机决策

阐述了海上危机管理的发展趋势,针对海上危机决策的特殊性,分析了决策者的作用和能力,决策的模式、方法、艺术和决策最佳人选,以及防止危机产生的方法和措施。     

加快企业孵化器建设步伐,推进高新技术产业发展

从孵化器的涵义、孵化器的现状及存在问题入手,探讨了如何加快企业孵化器建设步伐,推进高新技术产业发展。     

航运市场中的牛鞭效应研究

揭示了航运市场中存在的牛鞭效应。结合航运产品的特点及H.L.Lee对牛鞭效应的研究,分析了对航运产品需求的预测、船舶建造周期、批量运输及运输的不平衡性、运输价格的波动、定量供应与短缺博弈是产生航运市场牛鞭效应的主要原因,并由此提出了相应的对策框架。     

创新——企业发展的推动力

介绍了上海外高桥造船有限公司面对严峻的国际造船形势，以创新思路，为其现代化的大型船舶总装厂构筑起独特的企业文化和先进的企业生产管理系统，使企业昂首阔步地参与国际造船业的激烈竞争。     

港口腹地划分的两种新方法探讨--以大连国际航运中心为例

引入经济地理学的新理论成果———圈层结构法和点轴法,提出了圈层结构划分法和点轴结构划分法两种新的港口腹地划分方法,并应用这两种新方法对大连国际航运中心港口腹地范围的界定与划分进行实例分析。与以往的行政区划法、经济区域法等港口腹地划分方法相比,这两种方法更加注重对港口原有腹地的细分,更接近于港口腹地的实际状况,进而有利于港口企业的经营发展。     

透视我国中小港口发展

在枢纽港之争的背后,中小港口的发展应得到更多的重视,文章分析了中小港口存在的问题,明确了中小港口发展定位,指出中小港口发展动因及阻力,对其发展方向给予建议。     

关于国际工程承包项目审计的探讨

近年来,我国铁路发展所取得的辉煌成就在国际上产生了重大影响,不少国家提出希望中国铁路参与其国内工程建设,使我国设计施工企业参加国际工程承包项目建设的机会越来越多。但在国际工程建设中,如何像国内建设项目一样进行审计和通过审计发现工程管理中存在的薄弱环节和问题,提出加强管理的建议,规范项目管理,降低项目成本,提高经济效益进行探讨。通过探讨提出审计可遵循的原则、审计依据、审计内容、审计方式和方法等,望能为提高审计工作水平提供借鉴。     

Connectivity analysis of the global shipping network by eigenvalue decomposition

ABSTRACT

Maritime shipping necessitates flexible and cost-effective port access worldwide through the global shipping network. This paper presents an efficient method to identify major port communities, and analyses the network connectivity of the global shipping network based on community structure. The global shipping network is represented by a signless Laplacian matrix which can be decomposed to generate its eigenvectors and corresponding eigenvalues. The largest gaps between the eigenvalues were then used to determine the optimal number of communities within the network. The eigenvalue decomposition method offers the advantage of detecting port communities without relying on a priori assumption about the number of communities and the size of each community. By applying this method to a dataset collected from seven world leading liner shipping companies, we found that the ports are clustered into three communities in the global container shipping network, which is consistent with the major container trade routes. The sparse linkages between port communities indicate where access is relatively poor.