Economic Development and South Africa: 25 Years Analysis (1994 to 2019)

Economic Development highlights the growth and progression of every nation towards prosperity, and South Africa is not an exception to this phenomenon. Present article reviews economic progression in South Africa for last 25 years of time by applying systematic literature review and bibliometric analysis (1,241 articles) on Scopus extracted database (1994 to 2019; until 06 June). Inferences evidence significant work contributed by top universities, authors, funding sources, journals and citation statistics. Noticeably, implementation of a concept solely will not fetch real situation; however, a systematic review extends good to excellent understanding of the considered research agenda. Findings reveal the contradictory inter-connectivity of Cluster 1 Economic Inequality and Poverty, Cluster 2 Developing Country and Corruption and Cluster 6 Economic Development and Economic Policy. It is very important to understand that if a nation is facing economic inequality, corruption, and poverty; how it can achieve the status of economically developed nation. Identification of Cluster 3 Industrialization and Industry 4.0, Cluster 4 Unemployment and Entrepreneurship Education and Cluster 5 Sustainable Development and Economic Growth signifies scope of improvement. Conclusively, the researcher has proposed a conceptual model to address above stated concerns.     

A comparison of regret-based and utility-based discrete choice modelling – an empirical illustration with hospital bed choice

There is some concern that the unobserved preference heterogeneity in random utility maximization theory-based discrete choice experiment modelling is an important source of error variability. The randomness in utility is often interpreted as interpersonal preference heterogeneity but it can also be intrapersonal random variation in preferences. We compare utility maximization and regret minimization-based choice models’ sensitivity to individual heterogeneity, examine differences between two consecrated models and validate with empirical illustrations. We use frequency of category (public, semi-private, and private) of bed chosen from Swiss cross-sectional datasets (2007–2012) to compare two approaches – utility maximization and regret minimization by applying multinomial logit (MNL) models in regard to the variances in utility (regret) function, goodness-of-fit and predicted marginal effects (pseudo-elasticity) of additional payment. We find parameters with the same sign and estimates with almost same order of magnitude in both the approaches. The statistical significance of attribute effects is consistent in all variants of utility -based MNL models while effects of different attributes are significant only in heteroskedastic extreme value (HEV) variant of regret-based MNL models. This empirical illustration suggests that HEV variant of regret-based models perform better in capturing attribute effects in choice behaviour.