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About the Editor: Sajal Lahiri is the Vandeveer Professor of Economics at the Southern Illinois University – Carbondale; has worked as consultants to the FAO, IFAD, and the World Bank; has written extensively in top economics journals on issues related to development in general and to foreign aid in particular.

John Gilbert is a professor of economics in the Department of Economics and Finance, Jon M. Huntsman School of Business, at Utah State University. He has worked as a consultant for the World Bank, UNESCAP, ADBI, and the Peterson Institute for International Economics, and has published extensively in the area of trade theory and policy, and on the computable general equilibrium analysis of regional trading arrangements.

The purpose of this paper is to analyze a market for microfinance in a region of a developing nation in which all projects are either of high or low quality. There is adverse selection because only borrowers know whether their project is of high or low quality but the microfinance institutions (MFIs) do not. The MFIs are competitive, risk neutral, and they offer loan contracts specifying the amount to be repaid only if a borrower's project makes a profit. Otherwise, this borrower defaults on his contract.

A game theoretic model is used that explicitly accounts for adverse selection and then a study is made of the trinity of adverse selection, loan default, and self‐financing.

First, in the pooling equilibrium, a borrower with a low‐quality business project will obtain positive expected profit. In contrast, this borrower will obtain zero expected profit in the separating equilibrium. Second, for small enough values of the probability p that a business project is of high quality, MFIs will not finance any business project in the pooling equilibrium. Third, the cost of sending a signal is not too high and hence a separating equilibrium exists. Finally, under some circumstances, self‐financing can be used to mitigate adverse selection related problems

This paper studies a model with only two types of business projects. In addition, no allowance is made for repeated interactions between borrowers and MFIs.

This paper usefully shows that under some circumstances, a credible signaling device such as self‐financing can be used to mitigate adverse selection related problems that routinely plague interactions between poor borrowers in developing countries and MFIs.

The international economic trade environment has been transformed in recent years by the rise of several regional trade blocks. The most important of these regional trade associations has been the European Union. Many Eastern European countries are currently applying to join this regional group, hoping that it will help their future economic growth. This paper examines the trade impact of EU membership on Portugal, a country that joined the EU in 1986. Portugal experienced significant positive and negative changes in its trade flows in the years following its EU entry. The analysis of the trade data for the first seven years following Portugal's accession shows a deterioration of the Portuguese trade deficit and a vary rapid re‐direction of Portuguese trade towards EU countries.

The purpose of this paper is to develop a collaborative agent-based web architecture and an agent-based green IS assessment tool to aid information technology (IT) practitioners in data centers assess their current green information systems (IS) practice toward attaining sustainability.

The methodology comprises that the collaborative agent-based web architecture, agents’ algorithm and the green IS assessment tool, which is validated by employing focus group questionnaire targeting IT practitioners in seven Malaysian-based enterprises that have an in-house data centers. With 105 valid samples at hand, descriptive analysis and exploratory factor analysis was utilized to determine the applicability of the implemented agent-based green IS assessment tool.

Findings reveal that the agent-based green IS assessment tool possesses the capability to evaluate benchmark and rate enterprise data centers current green IS practice. Additional findings indicate that the agent-based green IS assessment tool provide suggestions on how green IS practice can be improved in enterprise data centers.

This study only collected data from 105 IT practitioners in enterprise data centers based in Malaysia; as such results from this research cannot be generalized to other countries. Moreover, the developed collaborative agents for green IS practice assessment can only be fully deployed after domain experts has added green IS practice assessment questions and alternative answers.

This study presents an autonomous agent-based green IS assessment tool that supports the assessment of enterprise toward inclusion of sustainability considerations to enhance enterprise environmental performance.

This study provides empirical evidence for data centers efficacy leading toward a greener society for environmental conservation for future generations to come.

This study creates awareness by presenting the green IS practice to be implemented by IT practitioners in data centers. In addition, the agent-based green IS assessment tool provides a web-based platform for promoting environmental sustainability by supporting data centers toward evaluating, benchmarking and rating their current green IS practices.