欧盟运输部门的绩效和生产力分析:静态和动态决策模型的证据

Fazıl Gökgöz, Engin Yalçın
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引用次数: 0

摘要

运输部门是环境恶化的主要原因,也是经济增长的关键来源。为实现长期可持续发展,应在经济增长和能源消耗之间实现全面平衡。为此,我们采用了多标准决策(MCDM)和马尔姆奎斯特生产率指数(MPI)技术,这两种技术可同时处理相互冲突的标准并确定生产率的变化。此外,根深蒂固的 MCDM 方法和新颖的 MCDM 方法同时评估了欧盟(EU)国家的运输可持续性。欧盟国家根据其经济发展水平被分为两个相等的组别。在两组国家的绩效排名方面,两种 MCDM 技术保持一致。MCDM 结果表明,德国和法国等高度工业化的欧盟成员国在交通可持续性水平方面表现最佳。MPI 技术的结果表明,德国和波兰以其有效的动态性能数据脱颖而出。总之,德国在静态和动态性能方面都表现出色。在交通领域,决策技术使利益相关者和决策者能够制定全面的管理计划,并对行业绩效和生产率有细致入微的了解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance and Productivity Analysis of the European Union Transport Sector: Evidence on Static and Dynamic Decision Models
The transportation sector is a major cause of environmental deterioration and a key source of economic growth. A thorough balance should be provided between economic growth and energy consumption for long-term sustainability. In this regard, multi-criteria decision-making (MCDM) and Malmquist productivity index (MPI) techniques, which can deal with conflicting criteria simultaneously and determine productivity changes, respectively, were employed. In addition, ingrained and novel MCDM approaches simultaneously evaluated European Union (EU) countries’ transport sustainability. EU countries were driven into two equal groups based on their economic development level. Both MCDM techniques are in harmony as regards performance rankings for both groups. MCDM results indicate that highly industrialized members of the EU, such as Germany and France, are top performers as regards transportation sustainability level. The MPI technique findings show that Germany and Poland stand out with their effective dynamic performance figures. In conclusion, Germany performs well as regards both static and dynamic performance. In the transportation field, decision techniques enable stakeholders and decision-makers to construct comprehensive management plans and attain a nuanced understanding of industry performance and productivity.
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