大连航运指数体系研究
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摘要
党中央提出把大连建设成东北亚重要国际航运中心,辽宁省委、省政府着眼于辽宁振兴和新一轮对外开放的全局,也明确提出举全省之力推进大连东北亚重要国际航运中心的建设。六年来,大连市以只争朝夕的干劲,加快大连东北亚重要国际航运中心的建设步伐,港口码头、集疏运体系发展速度十分之快。而当代国际航运中心的建设,除了码头、仓储、运输条件等硬件设施的建设外,商品配送服务、信息服务、技术服务、法律服务、保险服务和金融服务等软件设施的建设也必不可少。随着大连东北亚重要国际航运中心建设进程的加快,编制大连航运指数体系,提升大连航运交易市场的功能,己成为大连市航运界人士的共识。
     本论文立足于对大连航运市场的全面调查,依据大连和东北亚主要港口的实际情况,构建了大连航运指数体系。主要包括:综合运价指数、综合运力指数、航运成本指数、航运企业景气指数、航运企业家信心指数。其中综合运价指数主要包括:大连外贸集装箱运价指数、大连内贸集装箱运价指数、环渤海内支线集装箱运价指数、东北亚干散货运价指数、东北亚进口油运价指数。综合运力指数主要包括:运力静态指数、运力动态指数、运力量能指数、运力供求指数。航运成本指数主要包括:航运成本分类指数、航运成本综合指数、航运成本调整指数。航运企业景气指数主要包括:航运企业综合景气指数、航运景气扩散指数、航运景气合成指数。
     文章首先分析了大连航运指数体系建立模式,根据航运指数编制的基本方法、原则以及航运指数的特点,系统而详细地提出了大连航运指数体系编制中各问题的解决方法和原则,主要包括样本航线的选择、样本船公司的选择、运价类型的确定、权重的计算、指数计算公式的选择、基期的选择及发布频率的确定等具体内容。在分析研究的基础上进行了大连航运指数的实际编制,并利用编制的结果通过结构方程模型与波罗的海干散货运价指数和中国出口集装箱运价指数进行了比较验证。
     本研究成果对大连航运指数的实际编制具有较大的指导意义,文章主要用的方法有灰色关联分析、层次分析法、熵值法、结构方程模型、通径分析等,在此基础上根据实际数据模拟了指数计算过程,并利用Visual Basic编制了指数运算程序,为政府部门的指数工作提供了有力的工具。
Our government had advanced that Dalian should be built to the important international shipping center of Northeast Asia.The whole province as well as the whole city is addressing itself to the task.Six years has past,we could find that port terminal and transportation network have been heightened very fast.Nevertheless,to build a nowaday international shipping center,we have to strengthen not only the hardware facilities,such as docks,storage and transport conditions,etc.but also the software facilities,such as distribution service, technical service,information service,law service,insurance service,finance service and so on. With the quickening steps of developing Dalian to the aimed shipping center,calculating Dalian shipping indices system and promoting the function of Dalian shipping exchange have been the consensus of all people in Dalian shipping circles.
     Based upon the comprehensive surveyspecial of Dalian shipping market and the condition of the ports of Dalian and Northeast Asia,according to the foundational theory for index calculation,this paper completely researches the calculation methods for DSI system. The system mainly contains colligation shipping freight index,colligation fleet capacity index, shipping cost index,climate sub-index,shipping industry entrepreneur expectation index.
     Firstly,this paper summarizes the main problems that should be solved related with index calculation;according to the plentiful material and data obtained from investigation,the paper summarizes the actuality of Dalian shipping market,including the development process of service in Dalian port,ship routes,shipping companies and so on.Based on this work,according to the foundational methods,principles for index calculation and the characteristics of freight indices,the paper detailedly and systematically designs the calculation methods for Dalian shipping index system,including selecting the sample routes and the sample shipping companies,choosing the shipping price style,selecting the calculation formula and the base period,deciding the issue frequency and so on.At the same time,we weave practical system and validate the outcome between BDI and CCFI.
     The result of this paper has significant instructional meanings for the practical calculation of Dalian shipping index system in the near future.The main analysis methods are Gray relational analysis,AHP,Entropy method,SEM,and Path analysis.
引文
[1]聂金龙,李序颖.波罗的海干散货运价指数的ARFIMA模型研究[J].中国水运,2009,(4):56.
    [2]顾贤斌.波罗的海干散货运价指数长记忆性实证分析[J].上海海事大学学报,2009,(1):37.
    [3]李阳,靳志宏,杜昭玺.波罗的海干散货运价指数预测及实证分析[J].大连海事大学学报(社会科学版),2009,(1):12-14.
    [4]施文明.中国沿海运价指数与波罗的海运价指数的实证分析[J].统计教育,2009,(3):5-6.
    [5]陆克从.波罗的海好望角型船运价指数波动分析[J].上海海事大学学报,2008,(4):30.
    [6]刘晶,卢春霞.波罗的海干散货运价指数预测模型分析[J].航海技术,2008,(5):21-23.
    [7]蒋迪娜.基于马尔柯夫机制转换模型的中国出口集装箱运价指数波动研究[J].数理统计与管理,2008,(3):17-20.
    [8]袁象,余思勤.运价指数期货最优套期保值比率计算方法的改进[J].大连海事大学学报(社会科学版),2007,(5):2.
    [9]朱剑,乐美龙.波罗的海干散货运价指数时间序列建模[J].中国水运,2007,(8):36.
    [10]李万勇,刘烨,于佳任.基于ANN-ARIMA的航运运价指数预测方法及其应用[J].商场现代化,2007,(29):25-26.
    [11]周甫宾.基于EDI的集装箱运价指数生成与技术分析[J].中国航海,2006,(3):47-48.
    [12]蒋迪娜.我国出口集装箱运价指数研究[J].山西财经大学学报,2005,(5):36.
    [13]李耀鼎,宗蓓华.波罗的海运价指数波动研究[J].上海海事大学学报,2006,(4):26.
    [14]曾庆成.神经网络在波罗的海运价指数预测中的应用研究[J].大连海事大学学报(社会科学版),2004,(3):21.
    [15]李正宏,袁绍宏.波罗的海运价指数相关性分析[J].水运管理,2004,(8):38.
    [16]陈丽江,苏含秋.中国国际集装箱班轮运输市场运价趋势分析[J].上海海事大学学报,2005,(4):51.
    [17]李俊,卢春霞.国际干散货FFA市场的协整研究和定价应用[J].中国水运,2004,(8):43.
    [18]李耀鼎,宗蓓华.国际干散货运价波动与随机游走检验[J].大连海事大学学报(社会科学版),2006,(4):14-16.
    [19]刘建林,施欣.波罗的海运价指数期货市场的协整研究和定价模型[J].大连海事大学学报(社会科学版),2005,(2):21.
    [20]刘建林,徐国平.基于神经网络技术的干散货运价指数预测[J].大连海事大学学报(社会科学版),2006,(2):32.
    [21]刘建林.波罗的海指数与样本航线期租协整关系研究[J].数理统计与管理,2006,(3):10.
    [22]张林红,陈家源.国际航运市场运价定量预测方法[J].大连海事大学学报,2001,(4):27.
    [23]吕靖,陈庆辉.海运价格指数的波动规律[J].大连海事大学学报,2003,(1):16.
    [24]刘娜.大连外贸集装箱运价指数编制研究D].大连:大连理工大学,2007.
    [25]于洋,李一军.基于多策略评价的绩效指标权重确定方法研究[J].系统工程理论与实践,2003,(8):39.
    [26]谢开贵,李春燕.基于遗传算法的短期负荷组合预测模型[J].电网技术,2001,(08):18.
    [27]牛东晓,陈志业,谢宏.组合灰色神经网络模型及其季节性负荷预测[J].华北电力大学学报,2000,(04):2.
    [28]张大海.灰色预测公式的理论缺陷及改进[J].系统工程理论与实践,2002,(08):15.
    [29]Rong-Jong Wai,Ching-Hsiang Tu.Adaptive grey control for hybrid resonant driving linear piezoelectric ceramic motor[J].IEEE Transactions on Industrial Electronics,2006,53(2):640-656.
    [30]Chiang HK,Chen CA,Li MY.Integral variable-structure grey control for magnetic levitation system[J].IEE Proceedings Electric Power Applications,2006,153(6):809-814.
    [31]马辉民.应用AHP层次分析法评估ERP项目风险[J].计算机与数字工程,2006,(03):9-11.
    [32]Jack Mintz.Conduit Entities:Implications of Indirect Tax-Efficient Financing Structures for Real Investment[J].International Tax and Public Finance,2004,11(4):419-434.
    [33]CharlesF.Mason,Arik Ragowsky.How Supplier Characteristics Influence the Value of a Supplier Management ERP Application[J].Information Technology and Management,2002,3(1-2):161-180.
    [34]Jorge Cardoso,RobertP.Bostrom,Amit Sheth.Workflow Management Systems and ERP Systems:Differences,Commonalities and Applications[J].Information Technology and Management,2004,5(3-4):319-338.
    [35]倪明.运用基于GA的粗糙集方法改进经典AHP方法研究[J].应用科学学报,2005,(05):3.
    [36]田辉平.基于层次分析法和聚类分析法相结合的评价方法[J].华东经济管理,2007,(8):9.
    [37]王磊.层次分析法的应用[J].科技信息(科学教研),2007,(25)21-23.
    [38]G.Georgescu,A.Popescu.Non-commutative fuzzy Galois connections[J].Soft Computing,2003,7(7):458-467.
    [39]RobertoW.Romeo,Mario Floris,Francesco Veneri.Area-scale landslide hazard and risk assessment[J].Environmental Geology,2006,51(1):1-13.
    [40]S.M.Adams,M.S.Greeley.Ecotoxicological Indicators of Water Quality:ing Multi-response Indicators to Assess the Health of Aquatic Ecosystems[J].Water,Air,and Soil Pollution,2000,123(1-4):103-115.
    [41]Jolanta Dziembowska-Kowalska,Roll H.Funck.Cultural activities as a location factor in European competition between regions:Concepts and some evidence[J].The Annals of Regional Science,2000,34(1):1-12.
    [42]吴洁.基于熵值法的高校知识创新能力综合评价研究[J].工业技术经济,2007,(10):12.
    [43]王元华,曾凤章.基于熵值法的顾客满意度测评[J].商业研究,2004,(22):21-22.
    [44]范群.熵值法与战略选择优化[J].湖南师范大学社会科学学报,2008,(05):32-34.
    [45]项勇,李海凌,卢永琴.设计方案优选中的离差最大化及熵值法[J].西华大学学报(自然科学版),2006,(01):18.
    [46]陈华友.熵值法及其在确定组合预测权系数中的应用[J].安徽大学学报(自然科学版),2003,(04):28.
    [47]李玖晖,杨华龙.航运企业运力与运量平衡分析[J].大连海事大学学报学,1998,(03):8.
    [48]侯荣华.集装箱航运市场运力供需与运价分析模型[J].交通运输工程学报,2003,(03):3.
    [49]何新华.上海水运结构调整方略[J].中国水运,2002,(07):11-13.
    [50]雷智荣.内河运力预测与调控研究[D].武汉理工大学,2006,(08):32-35.
    [51]张矢宇.内河运输供给分析的理论、方法与实证研究[D].武汉理工大学,2004(03):34-35.
    [52]尤佳娜,徐剑华.港对港之间的班轮运输运力配置评价[J].集装箱化,2006,(10):20-21.
    [53]De Boer S V,Freling R,Piersma N.Stochastic programming for multiple-leg network revenue management.European Journal of Operational Research.2002,(137):72-92:
    [54]Feng Y,Gallego G.Perishable asset revenue management with Markovian time dependent demand intensities.Management Sci2ence.2000,(46):941-956.
    [55]Talluri K.G,van Ryzin.The Theory and Pratice of Revenue Management[M].Boston:Kluwer Academic Publishers,2004,(36):41-56.
    [56]高玉海.船舶修理项目成本控制原则[J].中国修船,2006,(05):11-13.
    [57]刘天芸.航运企业船舶燃油成本管理[J].世界海运,2006,(06):5-6.
    [58]Kevin Washbrook,Wolfgang Haider,Mark Jaccard.Estimating commuter mode choice:A discrete choice analysis of the impact of road pricing and parking charges[J].Transportation,2006,33(6):621-639.
    [59]Simon Shepherd,Agachai Sumalee.A Genetic Algorithm Based Approach to Optimal Toll Level and Location Problems[J].Networks and Spatial Economics,2004,4(2):161-179.
    [60]朱婷婷.远洋集装箱运输企业的成本控制[D].上海海事大学,2007.
    [61]张博.单船经营成本研究[D].大连海事大学,2001.
    [62]滕炜.海运企业船舶运输成本控制研究[D].广东:暨南大学,2005.
    [63]谭宇.船舶营运成本的分析与控制[D].大连:大连海事大学,2005.
    [64]毛卫斌.关于船舶运行期间燃油成本的研究[D].大连:大连海事大学,2001.
    [65]江山.航运企业船舶成本及其航次效益研究[D].大连:大连海事大学,2000.
    [66]谌武.船舶海运风险成本管理研究[D].上海:上海海事大学,2006.
    [67]吴海民.人工神经网络在工业企业景气指数预测应用[J].兰州商学院学报,2007,(02):18.
    [68]杨宗英,陈晓丽.扩散指数法在石油企业景气预测中的应用[J].当代经济,2007,(05):21.
    [69]Roberto F,Herman B,Ivan C.Forecasting Quarterly Brazilian GDP Growth Rate WithLinear and NonLinear Diffusion Index Models[J].EconomiA,2005,46(3):261-292.
    [70]James H Stock,Mark W Watson.Macroeconomic Forecasting Using Diffusion Indexes[J].Journal of Business & Economic Statistics,2002,65(2):147-162.
    [71]Marc Brisson,Bryan Campbell.Forecasting some low-predict ability time series using diffusion indices[J].Journal of Forecasting,2003,56(6-7):515-531.
    [72]张铁鹏.基于景气指数的行业资产配置模型研究[D].大连:大连理工大学,2005.
    [73]姬广林.我国宏观经济先行指标体系构建方法的探讨及应用[D].吉林:吉林大学,2005.
    [74]谭德彬.基于景气预测技术的宏观经济监测预警系统的设计[D].西南财经大学,2004.
    [75]赖福平.工业企业景气指数研究与实证分析[D].广东:暨南大学,2005.
    [76]德军黄.用主成分分析法编制综合景气指数[J].统计教育,2005,(02)
    [77]Raimond Maurer,Martin Pitzer,Steffen Sebastian.Hedonic price indices for the Paris housing market[J].Allgemeines Statistisches Archly,2004,88(3):303-326.
    [78]K.W.Chau,S.K.Wong.Adjusting for Non-Linear Age Effects in the Repeat Sales Index[J].The Journal of Real Estate Finance and Economics,2005,31(2):137-5153.
    [79]韩小亮,陈晨.定序变量的回归分析模型及其在消费者信心指数编制中的应用[J].数理统计与管理,2007,(02):33-36.
    [80]莫阳春.投资者信心的测定及实证分析[J].重庆工商大学学报,2003,(05):13-15.
    [81]严春红.大学生就业信心指数的设计与分析[D].浙江:浙江师范大学,2007.
    [82]Croushore,Dean.Do consumer-confidence indexes help forecast consumer spending in real time[J].The North American Journal of Economics and Finance,2005,16(3):435.
    [83]敬艳辉,邢留伟.通径分析及其应用[J].统计教育,2006,(02):29-30.
    [84]赵益新,陈巨东.通径分析模型及其在生态因子决定程度研究中的应用[J].四川师范大学学报(自然科学版),2007,(01):18-19.
    [85]Paul E Meehl,Niels G.Waller.The Path Analysis Controversy:A NewStatistical Approach to Strong Appraisal of Verisimilitude path analysisand structured linear equations,psychological methods,2002,17(3):283-300.
    [86]J.S.S.Ammiraju,B.B.Dholakia,D.K.Santra.Identification of inter simple sequence repeat(ISSR)markers associated with seed size in wheat[J].TAG Theoretical and Applied Genetics,2001,102(5):726-729.
    [87]张伦俊.通径分析在税收研究中的应用[J].数理统计与管理,2003,(02):23.
    [88]TimRees,Lew Hardy,Lynne.Construct Validity of theSocial Support Survey in Sport[J].Psychology of Sportand Exercise,2007,(8):355-368.
    [89]Kith F Widaman,Jane S.Thompson.On specifying the nullmodel for incremental fit indices in structural equation model-ing.Psychological Methods,2003,8(1):16-37.
    [90]Jeffrey R.Measelle,Oliver P.John,Jennifer C.Ablow,etal.Can children provide coherent,stable,and valid self-reports onthe big five dimensions longitudinal study from ages5to7[J].Journal of Personality and Social Psychology,2005,89(1):90-106.
    [91]Mick Power,Kathryn Quinn,Silke Schmidt Development of the WHOQOL-Old Module[J].Quality of Life Research,2005,14(lO):2197-2214.
    [92]张军.结构方程模型构建方法比较[J].统计与决策,2007,(18):11.
    [93]周涛,鲁耀斌.结构方程模型及其在实证分析中的应用[J].工业工程与管理,206,(05):20.
    [94]赵海峰,万迪昉.结构方程模型与人工神经网络模型的比较[J].系统工程理论方法应用,2003,(03):19-21.
    [95]吴兆龙,丁晓.结构方程模型的理论、建立与应用[J].科技管理研究,2004,(06):21-24.