Maritime Policy & Management最新文献_第8页

Identify determinants of container ship size investment choice 确定集装箱船规模投资选择的决定因素

IF 3.5 3区工程技术

Maritime Policy & Management Pub Date : 2021-08-31 DOI: 10.1080/03088839.2021.1971784

Lixian Fan, Jiaqi Xie

{"title":"Identify determinants of container ship size investment choice","authors":"Lixian Fan, Jiaqi Xie","doi":"10.1080/03088839.2021.1971784","DOIUrl":"https://doi.org/10.1080/03088839.2021.1971784","url":null,"abstract":"ABSTRACT In one of the most capital-intensive industries in the world, the investment decisions of container shipping companies, especially concerning new ships, are crucial to the success of companies. This study investigates shipowners’ ship choice decisions and ship size preference through multinomial logit models using a dataset compiled by Clarkson Research Services Limited. The model incorporates the factors that affect ship size choice from three aspects: the internal traits of companies (company trait), the environment of the shipping market (market-driven strategy) and the performance of rivals (competition strategy). Different factors have different influences on shipping companies’ ship choice behaviour and ship size preference in different market situations. From a market-driven perspective, the high new-built ship price makes companies choose small ships. In a prosperous market, when freight rates are high, medium-sized vessels are preferred, and investment in large vessels is less likely. From the company attributes perspective, the empirical estimation shows that larger container ships are preferred by larger shipping companies. When it comes to competitive strategy, shipping companies will be more inclined to choose larger ships when they see capacity expansion among their competitors. These results confirm the nature of an oligopolistic market structure of the container market.","PeriodicalId":18288,"journal":{"name":"Maritime Policy & Management","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42096857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Analysis and prediction of ship energy efficiency based on the MRV system 基于MRV系统的船舶能效分析与预测

IF 3.5 3区工程技术

Maritime Policy & Management Pub Date : 2021-08-31 DOI: 10.1080/03088839.2021.1968059

Ran Yan, Haoyu Mo, Shuaian Wang, Dong Yang

{"title":"Analysis and prediction of ship energy efficiency based on the MRV system","authors":"Ran Yan, Haoyu Mo, Shuaian Wang, Dong Yang","doi":"10.1080/03088839.2021.1968059","DOIUrl":"https://doi.org/10.1080/03088839.2021.1968059","url":null,"abstract":"ABSTRACT To reduce CO2 emissions from shipping activities to, from, and within the European Union (EU) area, a system of monitoring, reporting, and verification (MRV) of CO2 emissions from ships are implemented in 2015 by the EU. Although the MRV records in 2018 and 2019 have been published, there are scarce studies on the MRV system especially from a quantitative perspective, which restrains the potential of the MRV. To bridge this gap, this paper first analyzes and compares MRV records in 2018 and 2019, and then develops machine learning models for annual average fuel consumption prediction for each ship type combining ship features from an external database. The performance of the prediction models is accurate, with the mean absolute percentage error (MAPE) on the test set no more than 12% and the average R-squared of all the models at 0.78. Based on the analysis and prediction results, model meanings, implications, and extensions are thoroughly discussed. This study is a pioneer to analyze the emission reports in the MRV system from a quantitative perspective. It also develops the first fuel consumption prediction models from a macro perspective using the MRV data. It can contribute to the promotion of green shipping strategies.","PeriodicalId":18288,"journal":{"name":"Maritime Policy & Management","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48084663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Grey clustering evaluation of service capacity of cruise homeports in China 中国邮轮母港服务能力的灰色聚类评价

IF 3.5 3区工程技术

Maritime Policy & Management Pub Date : 2021-08-25 DOI: 10.1080/03088839.2021.1968058

Juan Li, Rong Zhang, Bin Liu

引用次数: 7

A bi-objective programming model for loading finished-vehicles in containers with adjustable brackets 可调支架集装箱装载整车的双目标规划模型

IF 3.5 3区工程技术

Maritime Policy & Management Pub Date : 2021-08-18 DOI: 10.1080/03088839.2021.1958020

Zhijia Tan, Shuai Shao, Zhixin Wang, Hua Wang, Linghui Han

引用次数: 0

Predicting maritime accident consequence scenarios for emergency response decisions using optimization-based decision tree approach 基于优化的决策树方法预测海事事故后果情景

IF 3.5 3区工程技术

Maritime Policy & Management Pub Date : 2021-08-17 DOI: 10.1080/03088839.2021.1959074

Baode Li, Jing Lu, Hangyu Lu, Jing Li

{"title":"Predicting maritime accident consequence scenarios for emergency response decisions using optimization-based decision tree approach","authors":"Baode Li, Jing Lu, Hangyu Lu, Jing Li","doi":"10.1080/03088839.2021.1959074","DOIUrl":"https://doi.org/10.1080/03088839.2021.1959074","url":null,"abstract":"ABSTRACT Emergency response decision-making for maritime accidents needs to consider the possible consequences and scenarios of an accident to develop an effective emergency response strategy to reduce the severity of the accident. This paper proposes a novel machine learning-based methodology for predicting accident scenarios and analysing its factors to assist emergency response decision-making from an emergency rescue perspective. Specifically, the accident data used are collected from maritime accident investigation reports, and then two types of decision tree (DT) algorithms, classification and regression tree (CART) and random forest (RF), are used to develop scenario prediction models for three accident consequences including ship damage, casualty, and environmental damage. The hyper-parameters of these two DT algorithms are optimized using two state-of-the-art optimization algorithms, namely random search (RS) and Bayesian optimization (BO), respectively, aiming to obtain the prediction model with the highest accuracy. Experimental results reveal that BO-RF algorithm produces the best accuracy as compared to others. In addition, an analysis of feature importance shows that the number of people involved in an accident is the most important driving factor affecting the final accident scenario. Finally, decision rules are generated from the obtained optimal prediction model, which can provide decision support for emergency response decisions.","PeriodicalId":18288,"journal":{"name":"Maritime Policy & Management","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48004810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

An overview of maritime logistics: trends and research agenda 海运物流概览:趋势和研究议程

IF 3.5 3区工程技术

Maritime Policy & Management Pub Date : 2021-08-09 DOI: 10.1080/03088839.2021.1962557

Seçil Gülmez, Gül Denktaş Şakar, S. Baştuğ

{"title":"An overview of maritime logistics: trends and research agenda","authors":"Seçil Gülmez, Gül Denktaş Şakar, S. Baştuğ","doi":"10.1080/03088839.2021.1962557","DOIUrl":"https://doi.org/10.1080/03088839.2021.1962557","url":null,"abstract":"ABSTRACT The increasing importance of maritime transportation in entire logistics flows have increased the interest in maritime logistics. Despite the growing body of the literature on this emerging discipline, there is lack of a detailed investigation regarding the categorization and emerging topics. The primary aim of this study is to analyse the advances in the literature and to suggest a research agenda for this concept by exploring the main research domains in this phenomenon. To achieve these aims, this study adopts content analysis-based review method to examine the concept and citation analysis to explore the latent structure of maritime logistics. The research streams have been obtained through two databases; the main themes, highlighted topics, and related analytical categories have been investigated through content analysis. Citation and co-citation analysis were conducted to understand the intellectual structure of the studies and the relationship of the analytical categories. The study presents a comprehensive synthesis of existing research suggesting a systematic source of information for both scholars and practitioners, shaping the future research agenda. The findings indicate that there is an increasing emphasis on design, optimization, and planning of port and ship operations while sustainability and marketing perspectives are somehow neglected in the researches.","PeriodicalId":18288,"journal":{"name":"Maritime Policy & Management","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47848921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Development of a sentiment measure for dry bulk shipping 干散货航运情绪测度的发展

IF 3.5 3区工程技术

Maritime Policy & Management Pub Date : 2021-08-09 DOI: 10.1080/03088839.2021.1959076

Theodoros Gavriilidis, A. Merika, A. Merikas, Christos Sigalas

引用次数: 3

Enablers of safety citizenship behaviors of seafarers: leader-member exchange, team-member exchange, and safety climate 海员安全公民行为的促成因素：领导成员交流、团队成员交流和安全氛围

IF 3.5 3区工程技术

Maritime Policy & Management Pub Date : 2021-08-08 DOI: 10.1080/03088839.2021.1959077

Shiou-Yu Chen, Chin-Shan Lu, Kung-Don Ye, K. Shang, Jiunn-Liang Guo, Jeff Pan

{"title":"Enablers of safety citizenship behaviors of seafarers: leader-member exchange, team-member exchange, and safety climate","authors":"Shiou-Yu Chen, Chin-Shan Lu, Kung-Don Ye, K. Shang, Jiunn-Liang Guo, Jeff Pan","doi":"10.1080/03088839.2021.1959077","DOIUrl":"https://doi.org/10.1080/03088839.2021.1959077","url":null,"abstract":"ABSTRACT This study examines the organizational factors, leader-member exchange (LMX), and team-member exchange (TMX) affecting seafarers’ safety citizenship behavior (SCB) in respect of seafaring lives. Accordingly, we investigate the moderating effect of the safety climate on these relationships. Questionnaire surveys were collected from 283 seafarers in Taiwan’s shipping industry. Partial Least Squares-Structural Equation Modeling (PLS-SEM) was employed to test the hypothesized causal relationships and moderating effect. The results showed that each of the safety climate, LMX and TMX were significantly related to the seafarer’s SCB; specifically, the safety climate strengthened the relationship between LMX and the seafarer’s SCB, but its effect on the relationship between TMX and seafarer’s SCB was insignificant. This study contributes to the academic literature on safety since it demonstrates the moderating role of the safety climate in linking LMX, TMX, and safety citizenship behavior that has been underestimated in previous research. We suggest that marine masters and shipping companies should specifically consider the influence of LMX and TMX within a ship, and reinforce a safety climate to improve safety performance.","PeriodicalId":18288,"journal":{"name":"Maritime Policy & Management","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2021-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41373400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

What moves shipping markets?: A variance decomposition of price–charter ratios 是什么推动了航运市场?:价格包租比率的方差分解

IF 3.5 3区工程技术

Maritime Policy & Management Pub Date : 2021-08-08 DOI: 10.1080/03088839.2021.1940335

Hyun-Tak Lee, Heesung Yun

引用次数: 0

Stock market reactions of maritime shipping industry in the time of COVID-19 pandemic crisis: an empirical investigation 新冠肺炎疫情危机时期海运业的股票市场反应——一项实证研究

IF 3.5 3区工程技术

Maritime Policy & Management Pub Date : 2021-08-02 DOI: 10.1080/03088839.2021.1954255

Md Rajib Kamal, M. A. H. Chowdhury, Md. Mozaffar Hosain

{"title":"Stock market reactions of maritime shipping industry in the time of COVID-19 pandemic crisis: an empirical investigation","authors":"Md Rajib Kamal, M. A. H. Chowdhury, Md. Mozaffar Hosain","doi":"10.1080/03088839.2021.1954255","DOIUrl":"https://doi.org/10.1080/03088839.2021.1954255","url":null,"abstract":"ABSTRACT This study examines the stock markets’ response to the maritime shipping industry during the COVID-19 pandemic. Using the daily data of the listed shipping companies in the New York Stock Exchange (NYSE), this study adopted the event study methodology to find the short-term effects of this outbreak. We classified the four initial COVID-19 outbreak news events as pessimistic and four subsequent events as optimistic. We find that the maritime stocks reacted negatively in responses to the critical COVID-19 declarations during cynical events. The investors’ reactions reached the lowest minimum values (−20.73%) when the announcement of COVID-19 was a worldwide pandemic by the WHO and the travel ban by the US from 26 European countries. However, some initiatives such as extra-economic stimulus by the United States attained the highest positive reaction (12.45%). The event study’s findings are also primarily corroborated by in-depth financial performance analysis of individual companies. In general, our findings suggest that stock markets react quickly to news about the COVID-19 pandemic, and this response varies with the level of outbreak and hope of recovery.","PeriodicalId":18288,"journal":{"name":"Maritime Policy & Management","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/03088839.2021.1954255","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47102357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18