俄罗斯圣彼得堡大港口海上集装箱运输发展战略
发布时间：2020-12-10 18:25
圣彼得堡大港口被认为是俄罗斯土地与波罗的海之间重要的门户,波罗的海曾用于贸易,也是金融和工业的中心。海港的行业包括:石油和天然气贸易,电子工业和造船业。圣彼得堡港务局是负责规划,组织和发展海港的国家机构。随着2011年新的圣彼得堡海港工作的开始,开始讨论有关其进一步发展的可能方向的建议。圣彼得堡海港已从2015年开始启动海港基础设施的开发计划。发展战略包括在海港增加一些设施,其中包括一个码头,该码头的年产能为200万吨黑色金属,以及多用途处理设施,其年产能为300万吨。这种发展战略存在一些弱点。考虑到这一点,很显然,对圣彼得堡港口采用的发展战略进行进一步调查变得越来越重要,当前的研究旨在评估圣彼得堡港口采用的当前发展战略。该研究还旨在提出一种可持续发展战略,其中应考虑到圣彼得堡海港行业的经济,结构,政治和环境性质的相互关联的方面。我们通过定性和定量的角度解决这两个主要目标,方法是使用SWOT分析描述当前的发展战略状态,并调查圣彼得堡海上集装箱运输的动态需求,并对未来集装箱运输的需求做出有效的预测。
【文章来源】：大连海事大学辽宁省 211工程院校
【文章页数】：70 页
【学位级别】：硕士
【文章目录】：
摘要
Abstract
1 Introduction
1.1 Background and Significance
1.2 Research Objectives
1.3 Literature Review
1.3.1 Seaport Performance Empirical Literature
1.3.2 Seaport Demand Analysis and Forecasting Empirical Studies
1.3.3 Conclusion
1.3.4 Research Outline
2 Theoretical Framework
2.1 Introductions to different theories for seaport performance analysis
2.2 Port development Theories
3 SWOT Analysis for the Sea container transportation of Big Port of Saint-Petersburg
3.1 Introduction
3.1.1 Review and History
3.1.2 Infrastructure, Equipments, and operations of the port
3.1.3 Existing Port Development Strategy
3.1.4 Container Terminals
3.2 Probable strengths and weaknesses for the internal environment of St.Petersburg seaport
3.2.1 Infrastructure
3.2.2 Gross Regional product
3.3 Probable opportunities and threats for the External environment of St.Petersburg seaport
3.3.1 World Economy
3.3.2 Political and Environmental condition
3.4 Conclusion
4 Forecast of sea container throughput of Big Port of Saint Petersburg in Russia
4.1 Variables Selection and Data Collection
4.2 Econometric Model
4.3 Dynamic Demand Analysis for St. Petersburg seaport
4.3.1 Pre-Estimation specifications
4.3.2 "VAR" Estimation Procedure
4.3.3 Post-Estimation Specifications
4.3.4 Elasticities Estimation
4.4 Forecasting Procedure
4.4.1 Forecasting Analysis
5 A proposed Horizontal development strategy
5.1 Introduction
5.2 Horizontal development goals
5.3 Strategic Focus
6 Results and Conclusions
References
致谢
作者简历及攻读硕士学位期间的科研成果
【参考文献】：
期刊论文
[1]基于径向基神经网络的集装箱吞吐量组合预测[J]. 刘志杰,季令,叶玉玲,耿志民. 同济大学学报(自然科学版). 2007(06)
本文编号：2909165
【文章来源】：大连海事大学辽宁省 211工程院校
【文章页数】：70 页
【学位级别】：硕士
【文章目录】：
摘要
Abstract
1 Introduction
1.1 Background and Significance
1.2 Research Objectives
1.3 Literature Review
1.3.1 Seaport Performance Empirical Literature
1.3.2 Seaport Demand Analysis and Forecasting Empirical Studies
1.3.3 Conclusion
1.3.4 Research Outline
2 Theoretical Framework
2.1 Introductions to different theories for seaport performance analysis
2.2 Port development Theories
3 SWOT Analysis for the Sea container transportation of Big Port of Saint-Petersburg
3.1 Introduction
3.1.1 Review and History
3.1.2 Infrastructure, Equipments, and operations of the port
3.1.3 Existing Port Development Strategy
3.1.4 Container Terminals
3.2 Probable strengths and weaknesses for the internal environment of St.Petersburg seaport
3.2.1 Infrastructure
3.2.2 Gross Regional product
3.3 Probable opportunities and threats for the External environment of St.Petersburg seaport
3.3.1 World Economy
3.3.2 Political and Environmental condition
3.4 Conclusion
4 Forecast of sea container throughput of Big Port of Saint Petersburg in Russia
4.1 Variables Selection and Data Collection
4.2 Econometric Model
4.3 Dynamic Demand Analysis for St. Petersburg seaport
4.3.1 Pre-Estimation specifications
4.3.2 "VAR" Estimation Procedure
4.3.3 Post-Estimation Specifications
4.3.4 Elasticities Estimation
4.4 Forecasting Procedure
4.4.1 Forecasting Analysis
5 A proposed Horizontal development strategy
5.1 Introduction
5.2 Horizontal development goals
5.3 Strategic Focus
6 Results and Conclusions
References
致谢
作者简历及攻读硕士学位期间的科研成果
【参考文献】：
期刊论文
[1]基于径向基神经网络的集装箱吞吐量组合预测[J]. 刘志杰,季令,叶玉玲,耿志民. 同济大学学报(自然科学版). 2007(06)
本文编号：2909165
本文链接：https://www.wllwen.com/shoufeilunwen/jjglss/2909165.html
