Search results

This paper aims to investigate the host country determinants of Chinese Outward FDI (OFDI) and, given these determinants, examines whether Chinese OFDI in MENA is less than elsewhere.

Data for the top 40 Chinese OFDI recipients including seven MENA countries from 2003 to 2012 were obtained. A pooled ordinary least squares estimation technique on the lagged explanatory variables and the lagged dependent variable – flows and stocks alternatively – with robust standard errors was used.

Chinese OFDI is market, resource and efficiency seeking and is attracted by poor governance. The seven MENA countries seemingly receive significantly less Chinese OFDI flows compared to other countries. However, careful inspection shows that UAE is creating this bias. This maybe because exporting to UAE rather than licensing or FDI seems like the best scenario, or UAE is already satiated with FDI from other countries, or China is waiting for the right time to enter such an FDI-competitive market like that of UAE.

Chinese OFDI is particularly important for MENA because it has a comparative advantage relative to other FDI source countries, and no research so far has investigated if it is less than in other regions, which could provide insights on how to attract it.

The purpose of this research is to investigate the impact of the gender gap on the ecological footprint (EFP) corresponding to its different quantiles.

Quantile panel regression for 24 countries from the period 2006 to 2017 will be used, for the gender gap and other determinants of EFP.

Each factor affecting EFP differs in its impact depending on the level of EFP quantile it corresponds to. Gender gap was found to be increasing EFP for the higher quantiles and decreasing EFP for the lower quantiles.

Environmental institutions should be considering the role of gender equality as a factor affecting the environment. Socioeconomic factors sometimes hamper the role of the female gender in preserving the environment. There are variations on how EFP factors differ between individual countries and this opens areas for further studies.

This research contributes to the current research studies by testing the impact of the gender gap on EFP instead of CO₂ emission which is widely used in the literature. This topic is considered understudied and one of the few that uses the quantile panel regression to investigate this impact, none of which is used in gender and environment studies. Finally, the model used in the study uses a more comprehensive extension of the “Stochastic Impact by Regression on Pollution, Affluence and Technology” model compared to the existing empirical studies in this area.

The chapter examines why growth in African economies between 1996 and 2016 appears not to have led to improvements in the key governance indicators (GIs) of government effectiveness, rule of law and control of corruption. Comparative data from other continents are presented to provide a contextual perspective for the case of Africa. The central research question is why has the continent been witnessing economic growth in real terms but simultaneously regressive movements in these three key indicators of governance which are central to the concept of ‘development’ itself? The data span the period from 1996 to 2016 inclusive using the WGI database of the World Bank for 171 countries including 43 African countries. The country sample is selected to ensure the same countries are included in the WGI database across all years of the sample period. The data are analysed numerically in terms of relative and absolute deviations and graphically. The results demonstrate a clear trend in several continents of worsening GIs while real economic growth has been positive. However, the distribution of this negative trend is highly skewed towards the African countries in the sample. The findings suggest that, despite real growth, economic and social development (in the widest sense) is actually regressing in many countries. We offer alternative theoretical explanations for this (apparent) contradiction and a number of possible policy solutions. The data are from the WGI database and all efforts have been taken to ensure its reliability in this analysis. Although there are small differences in how indicators have been measured, these do not seriously affect the underlying trends found in the data. A new approach to establishing value for money in public sector organisations is suggested which at the same time will help strengthen public accountability, transparency and efficiency in the delivery of the government services to the general public. The chapter may provide a new or a different perspective on how societies should perceive government and its various agencies in order to raise accountability. The chapter is conceived from a very old debate: growth versus development but argues that the latter is almost impossible in the absence of good governance and provides analytical evidence as the basis for this conclusion.