中国港口行业上市公司效率评价研究

选取员工人数、营业总成本、流动资产、非流动资产作为输入指标,以营业收入、利润总额为输出指标,利用DEA模型中的c2R模型、C2GS2模型以及DEA对抗交叉评价模型来对13家港口行业上市公司2008年数据进行评价,并针对评价的结果提出了改进建议.     

The link between economic and environmental performance of the top 10 U.S. ports

Ports currently face increasing demands to address a variety of environmental issues and achieve sustainability objectives. Using insights from the resource-based view of firms, this study examines the link between economic performance (EP) and environmental performance (ENP) of the top 10 U.S. seaports. Geospatial modeling is used to capture pollution incidents that can be geographically dispersed; in addition, both a bootstrap data envelopment analysis (DEA) approach and an undesirable DEA model are used to measure port ENP and EP. Our findings are in general consistent with assertions that positive EP can be attained in conjunction with good environmental practices. Ports’ capabilities of strategic capital investment in physical assets, collaborative interorganizational processes, and performance monitoring are essential, while they pursue both economic and environmental goals simultaneously.     

基于数据包络分析的代建单位评选方法

考虑代建单位的职责,结合各地招标确定代建单位时的评标标准,建立起对代建单位评选的指标体系。提出基于数据包络分析的代建单位评选方法,招标单位对各指标没有特别偏好时选用C2R模型进行计算评选;否则,选用C2WH模型进行计算评选。针对一般的DEA方法中,有效决策单元过多,不能完全确定出代建单位的中标候选顺序的问题,提出通过构造理想决策单元继续评价的改进方法。实例应用表明,运用数据包络分析方法进行代建单位的评选是合适的、可行的。     

Have Emission Control Areas (ECAs) harmed port efficiency in Europe?

Ports in the European Union and North America have enforced environmental regulations on controlling SO_x and NOx emissions from ships in their coastal areas known as Emission Control Areas (ECAs). This study uses two-stage approaches to examine whether ECA regulations impact the efficiency of ports operating in such areas. First, port efficiencies are estimated using non-radial slacks-based measure (SBM) Data Envelopment Analysis (DEA) models. The efficiency scores estimated by the SBM DEA models are then regressed on explanatory variables, including the ECA factor, and macroeconomic indicators using bootstrapped truncated regression (BTR) models. Panel data is collected on countries in EU ECAs and non-ECAs regarding such input variables as capital and labor, with cargo as an output variable. The results indicate that ECA regulations can harm port efficiency, reflecting concerns of policy-makers and industrial managers: the average efficiency loss from an ECA designation amounts to 0.058–0.066 on a scale of 0–1, accounting for a 15–18% loss from ECA ports’ average efficiency scores.     

数据包络分析模型与方法在船型方案排序择优中的应用

阐述了使用具有铭结构的DEA模型──C~2WH对有限方案多准则船型方案作有效性评判择优的原理和方法。针对船型论证，对C~2WH模型作了变换处理，使模型和方法更加筒明，且便于应用。算例表明，本文方法用于船型方案排序择优，不仅能继承以往DEA模型C~2R、C~2GS~2等体现出的使船型技术经济综合评判定量化的优点，还能较好地体现船舶设计者基于经验的偏好。     

基于PCA／DEA复合模型的客户忠诚度评价

在分析和构建一套合理的企业客户忠诚度评价指标体系的基础上,提出了一种基于PCA/DEA的企业客户忠诚度复合评价模型。实证结果表明,PCA/DEA复合评价模型不仅能够对企业客户忠诚度进行合理有效的评价,而且可以找到提高企业客户忠诚度的敏感因素,从而帮助企业改进客户关系管理策略。     

中国汽车制造业效率的经验研究

本文利用数据包络分析中的CCR模型,对我国汽车制造行业效率问题进行了研究.研究表明,我国汽车制造行业整体效率偏低,企业间效率差异较大,外资企业和规模较大企业效率较高.本文最后分析了其形成原因,并提出了提高我国汽车行业资源配置效率的政策建议.     

基于DEA的列车运行安全评价

实现列车运行安全是一个比较复杂的课题,牵涉面广、工作难度大。现阶段,安全现状评价的方法主要有层次分析法、安全检查表法和事故树分析法。但是它们在评价安全现状时都存在不同的缺陷,因此,文中提出采用DEA进行列车运行安全评价,并通过实例分析证明,该方法实用简单,能够为铁路管理部门在制定制度或进行职工培训时提供参考。     

����DEA��������½��Ⱥ�����򾭼ù�ϵ�о�

为定量衡量天津港构建的内陆港群与区域经济的关系,在分析二者协调发展机理的基础上,选取相应指标,构建基于DEA的评价模型.内陆港和城市经济发展有效性的评价结果显示,北京的内陆港与城市的发展均有效,包头、石家庄、德州属于城市经济有效、内陆港发展无效,惠农内陆港有效、城市经济无效,侯马的内陆港与城市经济的发展均无效,表明天津港的内陆港发展程度不同,腹地经济发展十分不平衡.对二者关系有效性的评价结果则表明,内陆港群与城市经济没有实现良好的双向有效协调发展,其中惠农和侯马两个城市与其内陆港的发展极其不平衡.