The Second Generation DEA

本研究由两部分组成：(1)生产经济学与数据包络分析的边界区域；(2)博弈论与数据包络分析。关于第一个研究目标，我们研究了规模经济和拥堵。为此，我们成功地在非参数框架中定义了规模经济程度，并表明规模经济程度为负表明拥堵。所以，我们彻底解决了这个问题。这一结果发表在EJOR(2004)的论文中。此外，我们使用Tone(2001)JOR论文中提出的新的成本效率模型对印度人寿保险公司的成本效率进行了研究。研究结果发表在SEPS(2005)的论文中。作为DEA和AHP的结合，我们将它们应用于日本政府机构迁出东京的比较地点评估研究，并确定了两个最有希望的地点。研究结果发表在SEPS(2003)的论文中。作为第二个研究课题，我们将DEA的基本概念融入到合作博弈理论中，创建了DEA博弈。该方案有助于多准则环境下的参与者达成共识，结果将发表在Omega(国际管理科学杂志)上。

This research consists of two parts : (i)boundary area between production economics and DEA, and (2)game theory and DEA. Regarding the first research objective, we studied scale economies and congestion. For this purpose, we succeeded in defining the degree of scale economies in the non-parametric framework and showed that a negative degree of scale economies indicates congestion. So, we completely solved this problem. This results were published in EJOR (2004) paper. Furthermore, we investigated cost efficiency of Life Insurance Corporation of India using the new cost efficiency model developed in Tone (2001) JOR paper. The results were published in SEPS (2005) paper. As a combination of DEA and AHP, we applied them for a comparative site evaluation study for relocating Japanese government agencies out of Tokyo and fixed two most promising sites. The results were published in SEPS (2003) paper. This paper raked as the 16^<th> in Top 25 Hottest Articles in SEPS.As the second research subject, we incorporated the basic concept of DEA into cooperative game theory and created DEA Game. This scheme can contribute to make a consensus among players under multiple criteria environment The results will be published in Omega (International Journal of Management Science).