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Evaluating the comparative performance of technical and scale efficiencies in knowledge-based economies (KBEs) in ASEAN: a data envelopment analysis (DEA) application

机译:评估东盟知识型经济(KBE)中技术和规模效率的相对绩效:数据包络分析(DEA)应用

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摘要

The objective of this paper is to measure the technical and scale efficiencies of KBEs in the Association of South East Asian Nations (ASEAN) using Data Envelopment Analysis (DEA). DEA enables one to assess the efficiencies of firms, organizations, countries, and regions in converting inputs to outputs. For each country in each knowledge dimensions, the efficiency rating and a measure of returns to scale: increasing returns to scale (IRS), constant returns to scale (CRS) and decreasing returns to scale (DRS) are calculated. The two years 1995 and 2010 are considered to assess the cross-section performance of KBE dimensions. Data are collected from World Development Indicators (WDI), World Competitiveness Yearbook (WCY) and ASEAN publications. Indonesia in knowledge acquisition; Singapore, South Korea and Thailand in knowledge production; Singapore in knowledge distribution; the Philippines and S. Korea in knowledge utilization are the most productive and 100% efficient countries in either one or both of the years investigated. This is not the first study of its kind, although it is the first for ASEAN countries considering all KBE dimensions.
机译:本文的目的是使用数据包络分析(DEA)来测量东南亚国家联盟(ASEAN)中KBE的技术和规模效率。 DEA使人们能够评估公司,组织,国家和地区将投入转化为产出的效率。对于每个国家中每个知识维度的效率等级和规模收益的度量:规模收益递增(IRS),规模收益不变(CRS)和规模收益递减(DRS)。 1995年和2010年这两年用于评估KBE尺寸的横截面性能。数据收集自《世界发展指标》(WDI),《世界竞争力年鉴》(WCY)和东盟出版物。印度尼西亚的知识获取;新加坡,韩国和泰国的知识生产;新加坡的知识分配;在所调查的一年或两年中,菲律宾和韩国在知识利用方面是生产力最高且效率最高的国家,为100%。这不是同类研究,尽管这是东盟国家考虑所有KBE维度的首次研究。

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