The economic and poverty impacts of maize research in West and Central Africa

This article assembles the results of three multicountry surveys on variety performance and adoption patterns to measure the impacts of maize research in West and Central Africa from 1981 to 2005, and uses cost data since 1971 to compute social rates of return on public investments in maize research in the region. Adoption of modern varieties increased from less than 5% of the maize area in the 1970s to about 60% in 2005, yielding an aggregate rate of return on research and development (R&D) investment of 43%. The estimated number of people moved out of poverty through adoption of new maize varieties rose gradually in the 1980s to more than one million people per year since the mid 1990s. Over half of these impacts can be attributed to international maize research at IITA and CIMMYT. The article concludes with a discussion of strategic options to enhance the impacts of maize research in the region.     

Privatization and capital formation in developing countries: an empirical analysis

The spur for privatization and its impact on economic performance have been analysed from many perspectives, including microeconomics, macroeconomics, and institutional economics. Previous research has focused on efficiency reasons for privatization at the level of the firm, and the relative performance of state‐owned enterprises and privately owned firms. This article investigates the macroeconomic facet of privatization with particular attention paid to the relation between privatization and capital formation in developing countries. Our study uses recent World Bank data on privatization for 105 countries over the time period 1988–2003. We explore the impact of privatization on capital formation by conducting two‐stage least squares and ordinary least squares estimations within three time frames. Our findings indicate that the effect of privatization on capital formation varies across regions and time frames. In general, privatization is neutral with regard to investment.     

The structure of unstable power mechanisms

We study the structure of unstable power mechanisms. A power mechanism is modeled by an interaction form, the solution of which is called a settlement. By stability, we mean the existence of some settlement for any preference profile. Configurations that produce instability are called cycles. We introduce a stability index that measures the difficulty of emergence of cycles. Structural properties such as exactness, superadditivity, subadditivity and maximality provide indications about the type of instability that may affect the mechanism. We apply our analysis to strategic game forms in the context of Nash-like solutions or core-like solutions. In particular, we establish an upper bound on the stability index of maximal interaction forms.     

DETERMINANTS OF CAPITAL STRUCTURE IN THE UK RETAIL INDUSTRY: A COMPARISON OF MULTIPLE REGRESSION AND GENERALIZED REGRESSION NEURAL NETWORK

Firms need to rely on different financing sources, but the question is how capital structure is determined for a particular industry. Our aim is to undertake an investigation into the factors which determine capital structure in the UK retail industry. Our initial sample consists of 163 (final sample: 100) UK retail companies, using data from 2000 in order to analyse capital structure from 2002 to 2006. Nonlinear models tend to be unduly neglected in capital structure research, and so we apply generalized regression neural networks (GRNNs), which are compared with conventional multiple regressions. We utilize a hold‐out sample for the multiple regressions to make them comparable with the GRNNs. Stability of the data is also confirmed. Our main findings are: net profitability and the depreciation‐to‐sales ratio are key determinants of capital structure based on GRNNs, while two more variables are added in the multiple regressions, namely size and quick ratio; there is strong support for the pecking‐order theory; both root‐mean‐square errors and mean absolute errors are much lower for the GRNNs than those for the multiple regressions for overall, training and testing datasets. The potential benefit of this research to financial managers and investors in the UK retail sector is the identification of the overriding role of net profitability in reducing the financial risk from high levels of gearing. Copyright © 2012 John Wiley & Sons, Ltd.     

Factors influencing the propensity to export: A study of UK and Portuguese textile firms

The purpose of this paper is to determine which particular organisational and managerial factors contribute to the propensity to export in a declining sector. For this purpose the textile and clothing sector in Portugal and the United Kingdom is chosen for investigation. This study analyses firms’ resources and capabilities, as well as decision-makers’ objective and subjective characteristics in a sample of 167 Portuguese and 165 UK firms in the textile and clothing industry. The fundamental research questions are: which characteristics of the firm are associated with stronger export propensity, and is it possible to identify a profile of decision-makers associated with export propensity? For Portugal, the size of firm and the educational level of managers are the key determinants of export propensity. As to the UK, age and perception of costs are the key factors. In addition, we also investigated managers’ commitment to exporting, for which the important determinants of export propensity in the textile and clothing sector were found to be planning, advertising and promotion. When combining the two country data-sets, particular firm characteristics, namely, firm size, competitive advantage, and technology, and a specific objective characteristic, namely, the number of languages spoken, are the key factors associated with the propensity to export in this declining sector.     

When U.S. venture capital ventures abroad

Older, more experienced and smaller U.S. venture capital firms are most probable to sacrifice proximate distance for new opportunities in foreign, and mostly mature, portfolio companies. These companies are treated differently than the domestic ones, as U.S. venture capital firms collaborate with and delegate monitoring to foreign partners, rather than stage or syndicate. Successful outcomes mostly occur in more mature, non‐hi‐tech, portfolio companies that receive more financing per round. Our results are robust to the investee country's openness and industry classification, stage of the investment and possible sample selection problems.     

Executive pay and performance: the moderating effect of CEO power and governance structure

This paper examines the crucial question of whether chief executive officer (CEO) power and corporate governance (CG) structure can moderate the pay-for-performance sensitivity (PPS) using a large up-to-date South African data-set. Our findings are threefold. First, when direct links between executive pay and performance are examined, we find a positive, but relatively small PPS. Second, our results show that in a context of concentrated ownership and weak board structures; the second-tier agency conflict (director monitoring power and opportunism) is stronger than the first-tier agency problem (CEO power and self-interest). Third, additional analysis suggests that CEO power and CG structure have a moderating effect on the PPS. Specifically, we find that the PPS is higher in firms with more reputable, founding and shareholding CEOs, higher ownership by directors and institutions, and independent nomination and remuneration committees, but lower in firms with larger boards, more powerful and long-tenured CEOs. Overall, our evidence sheds new important theoretical and empirical insights on explaining the PPS with specific focus on the predictions of the optimal contracting and managerial power hypotheses. The findings are generally robust across a raft of econometric models that control for different types of endogeneities, pay, and performance proxies.     

Stable effectivity functions with an infinity of players and alternatives

We consider Effectivity Functions with compact sets of players and issues. An EF is proved to be stable on continuous profiles if and only if it is acyclic. A convex EF is stable.     

CREDIT SCORING,STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE

Credit scoring has been regarded as a core appraisal tool of different institutions during the last few decades and has been widely investigated in different areas, such as finance and accounting. Different scoring techniques are being used in areas of classification and prediction, where statistical techniques have conventionally been used. Both sophisticated and traditional techniques, as well as performance evaluation criteria, are investigated in the literature. The principal aim of this paper, in general, is to carry out a comprehensive review of 214 articles/books/theses that involve credit scoring applications in various areas but in particular primarily in finance and banking. This paper also aims to investigate how credit scoring has developed in importance and to identify the key determinants in the construction of a scoring model, by means of a widespread review of different statistical techniques and performance evaluation criteria. Our review of literature revealed that there is no overall best statistical technique used in building scoring models and the best technique for all circumstances does not yet exist. Also, the applications of the scoring methodologies have been widely extended to include different areas, and this subsequently can help decision makers, particularly in banking, to predict their clients' behaviour. Finally, this paper also suggests a number of directions for future research. Copyright © 2011 John Wiley & Sons, Ltd.