scholarly journals Robust FDI Determinants in Sub-saharan African Countries

2017 ◽  
Vol 4 (5) ◽  
pp. 21
Author(s):  
Nvuh Njoya Youssouf
Keyword(s):  
Trade Openness ◽  
Maximum Likelihood Estimates ◽  
African Countries ◽  
Dynamic Panel ◽  
Dynamic Panel Model ◽  
Panel Model ◽  
Sub Saharan ◽  
Bayesian Averaging ◽  
Fdi Determinants ◽  
The Empirical Analysis

The aim of this paper is to identify the robustness of the determinants of FDI in sub-Saharan African countries over the period 1985 to 2012. This is done through the use of a linear dynamic panel model, estimated by the Bayesian Averaging of Maximum Likelihood Estimates (BAMLE) developed by Moral Benito (2012). The empirical analysis show the following key results: (i) natural resources and market size are the most robust determinants; (ii) inflation, infrastructure, human capital and trade openness are weak robust; (iii) corruption and political instability are very less robust determinants.

scholarly journals Impact of Oil Prices on Stock Market Development in Selected Oil Exporting Sub-Saharan African Countries

e-Finanse ◽  
2020 ◽  
Vol 16 (2) ◽  
pp. 1-13
Author(s):  
Adewale T. Muritala ◽  
Adeniyi M. Ijaiya ◽  
Ahmed O. Adekunle ◽  
Ibraheem K. Nageri ◽  
A. Bolaji Yinus
Keyword(s):  
Stock Market ◽  
Exchange Rates ◽  
Oil Prices ◽  
Market Development ◽  
African Countries ◽  
Stock Market Development ◽  
Dynamic Panel Model ◽  
Panel Model ◽  
Corruption Index ◽  
Sub Saharan

Abstract This study examines the dynamic impacts of oil prices on stock market development in four oil exporting sub-Saharan African countries in the period of 1989-2015. The Arbitrage Pricing Theory (APT) is used as the theoretical framework where stock market prices are hypothesized to be fully reflective of all available information. Static panel data (Pooled OLS, panel Fixed Effect Model, panel Random Effect Model) and dynamic panel model of Generalized Method of Moments (GMM) were employed in the estimation. The estimation of the static panel model shows that oil prices, exchange rates, gross domestic product, inflation and the corruption index have a positive and significant impact on stock market development. However, there is a slight improvement from the estimation of the GMM dynamic panel model which confirmed that oil prices, exchange rates, gross domestic product, investment, inflation and the corruption index have a positive and significant impact on stock market development. The study therefore recommends that investors in selected the Sub-Sahara Africa (SSA) stock market need to be cognizant of the varying impacts of macroeconomic indicators, particularly those that have been found to exert strong influence on stock returns like oil prices, exchange rates, inflation and the corruption index.

scholarly journals Regional differences in the capitalisation of first and second pillar payments of the CAP into land rental prices

2020 ◽  
Author(s):  
Klaus Salhofer ◽  
Paul Feichtinger
Keyword(s):  
Agricultural Policy ◽  
Regional Differences ◽  
Dynamic Panel ◽  
Accounting Data ◽  
Dynamic Panel Model ◽  
Panel Model ◽  
Land Rental ◽  
Part Time ◽  
High Yields ◽  
Large Farms

Abstract Nearly 80 per cent of Common Agricultural Policy (CAP) expenditures are spent on three different measures: first pillar payments (FPPs), agri-environmental payments (AEPs) and less favoured area payments (LFAPs). Based on a dynamic panel model and farm accounting data for Bavaria, we find that, on average, 30 per cent of FPPs, 40–50 per cent of LFAPs, but no relevant share of AEPs are capitalised into land rental prices. The capitalisation ratio varies considerably across regions. Above average capitalisation ratios for FPPs are observed in more favourable areas with high yields, a low grassland share and large farms. The same is true for LFAPs for areas with high yields, large farms and a greater share of part-time farmers.

scholarly journals X-Differencing and Dynamic Panel Model Estimation

2010 ◽  
Author(s):  
Chirok Han ◽  
Peter C. B. Phillips ◽  
Donggyu Sul
Keyword(s):  
Model Estimation ◽  
Dynamic Panel ◽  
Dynamic Panel Model ◽  
Panel Model

scholarly journals Long-Run and Short-Run Effects of Trade Openness on Life Quality in Sub-Saharan Africa

2021 ◽  
Vol 11 (8) ◽  
pp. 72-83
Author(s):  
Guivis Zeufack Nkemgha ◽  
Aimée Viviane Mbita ◽  
Symphorin Engone Mve ◽  
Rodrigue Tchoffo
Keyword(s):  
Trade Openness ◽  
Life Quality ◽  
Sub Saharan Africa ◽  
African Countries ◽  
Pooled Mean Group ◽  
Long Run ◽  
Short Run ◽  
French Colonies ◽  
Sub Saharan ◽  
British Colonies

This paper contributes to the understanding of the other neglected effects of trade openness by analysing how it affects life quality in sub-Saharan African countries over the period 2000–2016. We used two trade openness indicators, namely: Squalli and Wilson index and the rate of trade. The empirical evidence is based on a pooled mean group approach. With two panels differentiated by their colonial origin, the following findings are established: the trade openness variable measured by Squalli and Wilson index has no effect on life quality in the both groups of countries in the short-run. However, it has a positive and significant effect on life quality in the both group of countries in the long-run. The use of the rate of trade confirms the results in the both groups of countries in the long-run. The contribution of trade openness to life quality is 3.27 and 5.19 times higher in the Former British Colonies than that recorded in the Former French Colonies of SSA respectively to the use of Squalli and Wilson index and the rate of trade. Overall, we find strong evidence supporting the view that trade openness promotes life quality in SSA countries in the long run.

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