South African Exporters and the Global Crisis: Intensive Margin Shock,Extensive Margin Hangover

This paper examines how changes at the intensive (established exporters exporting existing products to established markets) and the extensive (new exporters, products or markets) margins contribute to South African export growth and how this was affected by the global financial crisis. We find that the intensive margin is the more important contributor to export growth, contributing more than three quarters of observed growth. The intensive margin contracted significantly during the global financial crisis of 2009 but bounced back to pre‐crisis levels quickly. However, the impacts on the extensive margin persisted after the crisis with lower levels of entry of firms, new products and new destinations. The short‐term impact of the crisis was mitigated by the concentration of South African exports among larger, more productive super‐exporters. However, the fall in entry of new firms, products and destinations as a result of the crisis may mean that this concentration persists, and, at least over the next few years, South Africa does not diversify and broaden its exports.     

Is Decoupling Possible? Association between Affluence and Household Carbon Emissions in the Philippines

This paper investigates whether or not affluence is associated with carbon emissions at the household level in the Philippines. While there is abundant literature on this issue, limited studies are available for developing countries. We estimate household carbon emissions by combining input–output analysis with household expenditure. The results suggest that household carbon emissions are increasing non‐monotonically with a non‐existent turning point as households accumulate more assets. This is further supported by quintile estimates showing huge disparity in emissions between poor and rich households. Although household carbon emissions in the Philippines are not alarming, evidence suggests that it is likely households will lead a carbon‐intensive lifestyle as they become more affluent.     

Estimating the impact of farmer field schools in sub‐Saharan Africa: the case of cocoa

This study measures the economic impact of the first phase of the Cocoa Livelihood Program (CLP‐I), a current World Cocoa Foundation (WCF) project, sponsored by the Bill and Melinda Gates Foundation and aimed at improving the livelihood of over 200,000 small cocoa producers in sub‐Saharan Africa via training, crop diversification, and farmer‐based organizations. Using data collected from 2,048 pre‐ and post‐CLP‐I interviews of cocoa producers in Ghana, Cote d'Ivoire, Nigeria, and Cameroon, the results show that yield enhancements attributable to CLP‐I are 32%, 34%, 50%, and 62% in Ghana, Côte d'Ivoire, Nigeria, and Cameroon, respectively. Using a total program cost of $151–$200 per beneficiary and estimated annual benefits of $109–$322 per beneficiary over 25 years, the benefit‐cost ratios are estimated to range from $18 to $62 for every dollar spent on human capital development. These results suggest the WCF should endeavor to increase the number of farmers who receive all, not some, of the components of the program. This would not only help ensure that each producer obtains as much human capital as possible from each of the training programs but increases the probability of reaching the CLP goal of doubling the income of cocoa‐growing households.     

Evaluating a Global Vector Autoregression for Forecasting

Global vector autoregressions (GVARs) have several attractive features: multiple potential channels for the international transmission of macroeconomic and financial shocks, a standardized economically appealing choice of variables for each country or region examined, systematic treatment of long-run properties through cointegration analysis, and flexible dynamic specification through vector error correction modeling. Pesaran et al. (2009) generate and evaluate forecasts from a paradigm GVAR with 26 countries, based on Dées, di Mauro et al. (2007). The current paper empirically assesses the GVAR in Dées, di Mauro et al. (2007) with impulse indicator saturation (IIS)??a new generic procedure for evaluating parameter constancy, which is a central element in model-based forecasting. The empirical results indicate substantial room for an improved, more robust specification of that GVAR. Some tests are suggestive of how to achieve such improvements.     

Strategy analysis in the health service

The operation of provider units, both NHS Trusts and Directly Managed Units, as competitive organizations in the market place, is as yet rudimentary. Although some have achieved notoriety through radical “business” behaviour, there is little evidence that they have adopted scientific business practices in order to strengthen or re‐orientate their position in the market place. Neither is there as yet any hard evidence that such behaviour would be beneficial in the long term.

This paper describes an exercise of strategic market analysis used as a device to lead and inform the business planning process for an NHS Trust. The primary objective of the analysis is to identify hitherto unrecognized strategies which would enhance the position of the organization in the market place and also to identify areas where business development is possible and desirable.     

PREDICTING PRIVATE COMPANY FAILURE

Private company failure is a significant problem that is not fully addressed by existing research. This study develops a discriminant model from data on 107 private companies. The model predicts success and failure, based on six ratios obtained from the two immediately prior years' publicly available accounting reports. Based on a hold-out sample of 40 companies a prediction with 85% accuracy was achieved. This prediction was made one year ahead. The model indicates that the retained earnings/total assets, total liabilities/total assets, and shareholders funds/total liabilities ratios are the three major predictors of bankruptcy. Overall the model's coefficients are, as expected, substantially different to those of public company models.     

Termination of distressed residential mortgages: An empirical analysis

A sample of 209 distressed mortgages is used to analyze the terminations of distressed mortgages. An option-based model is compared to a traditional default model. Results show that the traditional model is statistically superior. However, the model's ability to identify a default is similar to that of the simpler option-based model. Alternative measures of borrower's equity are compared. Measuring borrower's equity using total debt more accurately explains default than using either the mortgage balance or the mortgage value.