This paper chooses a Data Envelopment Analysis (DEA) model for different areas to identify the difference in solving the industrial pollution problem by comparing their levels of efficiency. Generally, the industrial pollution problem calls for within-area treatments, although these affect areas...

Mergers and acquisitions (M&As) have become a more and more important topic in the management and development of companies. Companies usually conduct M&A to preserve or extend their competitive advantages. However, M&As usually fail in real life. For the given bidder company, a critical step to...

There is a growing consensus that social and economic sustainability depends on limited natural capital. Ecological Footprint (EF) provides an alternative tool to account for natural capital. This study presents two models to research Wuhan's natural capital: first using Genetic Algorithm Neural...

There is a growing consensus that social and economic sustainability depends on limited natural capital. Ecological Footprint (EF) provides an alternative tool to account for natural capital. This study presents two models to research Wuhan's natural capital: first using Genetic Algorithm Neural...

A number of studies have used data envelopment analysis (DEA) to evaluate the performance of the countries in the Olympic Games. In this paper, an extension tool of DEA, namely cross-efficiency evaluation method, is used to measure the performance of the nations participating in the Summer...

DEA model is employed to estimate the anti-industrial pollution efficiency with constrained emission. This is a new set of DEA models with the sum of outputs of all DMUs being fixed. The developed DEA is used to compute anti-industrial pollution efficiency in all major cities of a province in China.