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.

The Malmquist productivity index studies productivity change, that is, the technical progress or regress together with the efficiency changes over time. In a nonparametric framework, the index can be estimated by data envelopment analysis (DEA). In this paper, first all inputs are divided into...

Aggregate advertising models are functions reflecting the relationship between product sales and advertising expenditure for a market as a whole. In this paper, we proposed a new advertising response model based on consumer population dynamics. Considering that the population dynamics is one of...

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...

The paper focuses on a so-called emission-dependent supply chain consisting of one single emission-dependent manufacturer and one single emission permit supplier in the ‘cap-and-trade’ system, where emission permit becomes requisite for production. We consider the emission cap of...

As demonstrated in several recent studies, data envelopment analysis (DEA) is a useful tool for evaluating and comparing the performance of nations competing in the Olympic Games. Assurance regions (ARs) have been used to further refine the DEA results. These AR DEA models assume that ARs apply...

A number of studies have used data envelopment analysis (DEA) to evaluate the performance of the countries in Olympic games. While competition exists among the countries in Olympic games/rankings, all these DEA studies do not model competition among peer decision making units (DMUs) or...

Purpose With the prevalence of enterprise social media (ESM), this study examines how the innovative and routine ESM use behaviors in the post-acceptance stage influence the quality and quantity dimensions of information processing (i.e. information equality and information overload),...

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...