Financial Liberalization and Foreign Bank Entry on the Domestic Banking Performance in MENA Countries

Abstract: This study examines the impact of financial liberalization and foreign bank entry on the domestic banking sector from 1996 to 2007, and builds upon and expands the work of Lee (2002). We find that foreign bank entry, financial liberalization, ownership structure and degree of openness of foreign bank entry positively impact domestic banking system operating efficiency, capitalization, risk management, long‐term soundness, financial performance as well as economic and financial development. However, foreign bank entry is associated with reduced profit margins and increased operating costs of domestic banks in countries with less developed capital markets. Empirical evidence seems to support the argument that foreign bank presence leads to better allocation of capital and eliminates connected lending practices.     

Prediction of Ideas Number During a Brainstorming Session

In this paper, we present an approach allowing the prediction of ideas number during a brainstorming session. This prediction is based on two dynamic models of brainstorming, the non-cognitive and the cognitive models proposed by Brown and Paulus (Small Group Res 27(1):91–114, 1996). These models describe for each participant, the evolution of ideas number over time, and are formalized by differential equations. Through solution functions of these models, we propose to calculate the number of ideas of each participant on any time intervals and thus in the future (called prediction). To be able to compute solution functions, it is necessary to determine the parameters of these models. In our approach, we use optimization model for model parameters calculation in which solution functions are approximated by numerical methods. We developed two generic optimization models, one based on Euler’s and the other on the fourth order Runge–Kutta’s numerical methods for the solving of differential equations, and we apply them to the non-cognitive and respectively to the cognitive models. Through some feasibility tests, we show the adequacy of the proposed approach to our prediction context.     

A Ricardian Analysis of the Distribution of Climate Change Impacts on Agriculture across Agro-Ecological Zones in Africa

This paper examines the distribution of climate change impacts across the sixteen Agro-Ecological Zones (AEZs) of Africa. We combine net revenue from livestock and crops and regress total net revenue on a set of climate, soil, and socio-economic variables with and without country fixed effects. Although African crop net revenue is very sensitive to climate change, combined livestock and crop net revenue is more climate resilient. With the hot and dry CCC climate scenario, average damage estimates reach 27% by 2100, but with the mild and wet PCM scenario, African farmers will benefit. The analysis of AEZs implies that the effects of climate change will be quite different across Africa. For example, currently productive areas such as dry/moist savannah are more vulnerable to climate change while currently less productive agricultural zones such as humid forest or sub-humid AEZs become more productive in the future. S. Niggol Seo is the Consultant to the World Bank.     

Islamic business scorecard and the screening of Islamic businesses in a cross‐country setting

Screening of shari'ah compliant firms is incomplete without the inclusion of ethical and social responsibilities. The existing “activity screen” does not directly capture the ethical and social footprints of firms. The purpose of this study is to create and test an Islamic business scorecard that combines activity, ethical, and social responsibilities that Islamic businesses must comply with. This new Islamic business scorecard replaces the existing activity screens and is added to the financial screens to create an integrated business screening mechanism to identify shari'ah compliant firms. This study utilizes data from a sample of 410 shari'ah compliant companies listed with stock exchanges in Malaysia, Pakistan, and Bangladesh. Out of the five newly developed constructs of the Islamic business scorecard, the results indicate Islamic firms are less committed to social responsibilities and tend to push forward economic responsibilities that focus on profitability and growth. Of the three countries, this study reports Malaysian firms have the highest compliance scores, while Bangladesh displays characteristics of the “next‐big shari'ah destination”. Financial screens are more important than the Islamic business scorecard for firms in the construction, industrial, technology, and trading/services sectors. Because of its connection with the economic, ethical, and social dimensions, the scorecard helps to identify the true nature of shari'ah compliance as a useful decision tool for investors and policymakers.     

Merger and acquisition motives and outcome assessment

Research on merger and acquisition (M&A) outcome often focuses on tangible financial results and the reaction of stock markets. This research attempts to provide a more accurate assessment of M&A performance by linking tangible as well as intangible M&A motives to outcome assessment. The theoretical framework is based on evaluation theory. We analyze four case studies of international M&As conducted by European companies. The findings indicate that M&A outcome can be more accurately measured by aligning it with the motives defined by the acquiring firms. They suggest that M&A outcome assessment should be considered as a process covering both premerger and postmerger stages.     

Does Zero Tillage Improve the Livelihoods of Smallholder Cropping Farmers?

The biophysical benefits of zero tillage (ZT) are well documented in the literature. However, the literature on its economic benefits, especially in the context of small and medium‐scale farmers in the temperate developing world is scanty. Using a study of 621 wheat farmers in Syria, we provide empirical evidence on the impacts of adoption of ZT on farm income and wheat consumption. We use propensity score matching (PSM) and endogenous switching regression (ESR) approaches to account for potential selection biases. After controlling for confounding factors, we find that adoption of the ZT technology leads to a US$ 189/ha (33%) increase in net crop income and a 26 kg (34%) gain in per capita wheat consumption per year (adult equivalent) – an indication of meaningful changes in the livelihoods of the farm households. Besides the biophysical and environmental benefits documented elsewhere, our results suggest that adoption of ZT can also be justified on economic and food security grounds. Therefore, ZT can have sizeable impacts in transforming the agricultural sector in the temperate developing world provided that the technology is well promoted and adopted.     

Comparing crowdsourcing initiatives: Toward a typology development

Although numerous studies have examined the crowdsourcing phenomenon, little consensus exists regarding the classification of distinct types of activities within crowdsourcing. In this study, we identify and classify 12 crowdsourcing initiatives that comprise the key categories of crowdsourcing: Crowdpedia, Fansourcing, Crowdnetworking, Crowdsharing, Crowdvoting, Crowdfunding, Ideation, Open Innovation, User Innovation, Scisourcing, Crowd‐Relief, and Open Source Software. Our main objective is to establish the similarities and differences between basic crowdsourcing initiatives and develop a typology based on nine crowdsourcing dimensions that we develop. This crowdsourcing typology will provide a roadmap on which researchers can anchor their research and practitioners can make more informed decisions about which category of crowdsourcing they should seek. Copyright © 2016 ASAC. Published by John Wiley & Sons, Ltd.