Adolescents’ attitudes towards organic food: a survey of 15‐ to 16‐year old school children

Adolescents are the consumers of tomorrow; therefore policies aimed at increasing organic food consumption should address the needs of this group. To discover their attitudes towards organic food and their knowledge of the subject, a survey among almost 700 school children aged 15–16 years was conducted. Four main groups of questions were used: adolescents’ knowledge of organic food, attitudes, whether they bought organic food and the perceived influences they exerted on the buying patterns of their parents. From the survey it can be concluded that adolescents’ attitudes towards organic food are positive, but their knowledge of and their willingness to buy it are low. Campaigns aimed at encouraging the purchasing of organic food targeted at adolescents should particularly emphasize those characteristics of organic foods that they can relate to their interests and ethical preferences, for example, animal welfare and environmental considerations.     

Out-of-Sample Equity Premium Predictability in South Africa: Evidence from a Large Number of Predictors

This article uses a predictive regression framework to examine the out-of-sample predictability of South Africa’s equity premium, using a host of financial and macroeconomic variables. We employ various methods of forecast combination, bootstrap aggregation (bagging), diffusion index (principal component), and Bayesian regressions to allow for a simultaneous role of the variables under consideration, besides individual predictive regressions. We assess both the statistical and economic significance of the individual predictive regressions, combination methods, bagging, principal components, and Bayesian regressions. Our results show that forecast combination methods and principal component regressions improve the predictability of the equity premium relative to the benchmark autoregressive model of order one (AR[1]). However, the Bayesian predictive regressions are found to be the standout performers with the models outperforming the individual regressions, forecast combination methods, bagging and principal component regressions, both in terms of statistical (forecasting) and economic (utility) gains.     

New evidence on sources of macroeconomic fluctuations in sub-Saharan African countries

Following a global vector autoregressive (GVAR) approach, this paper presents new evidence on the validity of international transmission of economic shocks from key trading partners as sources of macroeconomic fluctuations in sub-Saharan African (SSA) countries. The GVAR model was estimated for 21 SSA countries grouped into three country classes—oil-rich, other-resources-rich and non-resource-based economies, to account for output shocks from crucial trading partner countries—United States, United Kingdom, China and Europe. Furthermore, the generalized forecast error variance decompositions results reveal that output shocks from key trading partners constitute significant contributors to changes in key macroeconomic indicators—real gross domestic product, inflation, exchange rate and short-term interest rate, in the SSA region. The generalized impulse response functions indicate that these economic shocks have more significant impacts on oil-rich countries than on other country groups. A key recommendation from this study is that SSA countries, especially the resource-rich economies, need to strengthen and diversify their economic structure, including the trade basket.