This paper examines the relationship between financial development, economic growth and energy consumption in Cote d’Ivoire over the period 1971-2011. To do so, the study first built a synthetic indicator of financial development through the principal component analysis technique (PCA) and used four energy sources such as electric power consumption, electricity production from renewable sources, electricity production from oil sources and electricity production from hydroelectric sources. Then, employing the autoregressive distributed lag (ARDL) bounds testing approach to cointegration, we find that there is a long run relationship between financial development, economic growth and energy consumption sources. Furthermore, the results of the vector error correction models (VECM) reveal unidirectional causality running from financial development to energy consumption sources, bidirectional causality between economic growth and energy consumption and unidirectional causality from financial development to economic growth in the long run. The mixed results are due to the use of different proxies for energy consumption. Accordingly, this paper recommends that policy makers should solicit the support of financial sector in order to solve energy problems and further the diversification of the energy consumption sources since financial development has a positive effect on energy consumption in long run. Moreover, government should develop public-private partnership (PPP) to stimulate economic growth, improve the access to energy and maintain a sustainable development in Cote d’Ivoire.
This paper examines the asymmetrical relationship between exchange rate and consumer prices in 40 sub-Saharan African (SSA) countries from 1990Q1 to 2017Q4. We estimate the exchange rate pass-through (ERPT) to consumer prices for each country by using the nonlinear autoregressive distributed lag (NARDL) framework and dynamic panel techniques robust to cross-sectional dependence. First, our findings suggest an asymmetrical ERPT in the SSA region during the short term, whereas there are mixed results across subregions in the long term. Second, the results of the panel analysis suggest incomplete and significant ERPT to consumer prices in the entire SSA region, which is higher during depreciation of the local currency than after appreciation in the short-term, especially in the CFA Franc zone. Third, we find nonlinear ERPT with respect to the size of the exchange rate. Finally, we find that pass-through is higher in countries with fixed exchange rate regimes (CFA franc zone) in a low inflationary environment than in countries with floating exchange rate regimes and high inflation levels. Pass-through is greater during large exchange rate changes than after small changes. Therefore, the policy implication is to consider these asymmetries and nonlinearities to improve monetary policy’s credibility, enhance trade liberalization, and promote competitive market structures in the SSA region.
This study examines the effect of market risk on the financial performance of 31 non-financial companies listed on the Casablanca Stock Exchange (CSE) over the period 2000-2016. We utilize three alternative variables to assess financial performance, namely return on assets, return on equity and profit margin. Next, we use the degree of financial leverage, the book-to-market ratio, and the gearing ratio as market risk variables. Besides, we employ the pooled OLS model, the fixed effects model, the random-effects model, the difference GMM and the system GMM models. The results show that market risk indicators have a negative and significant influence on the companies' financial performance. The elasticities are greater following the book-to-market ratio compared to the degree of financial leverage and the gearing ratio, respectively. In most cases, the firm size, the tangibility ratio, and the cash holdings ratio have a positive effect on financial performance, whereas the firms' age, the debt-to-income ratio, stock turnover, and leverage hurt the performance of these non-financial companies. Therefore, decision-makers and managers should mitigate market risk through appropriate strategies of risk management, such as derivatives and insurance techniques.
This paper examines the asymmetrical relationship between exchange rate and consumer prices in 40 Sub-Saharan African (SSA) countries from 1990q1 to 2017q4. The exchange rate pass-through (ERPT) to consumer prices is estimated for each country by using the nonlinear autoregressive distributed lags (NARDL) framework and dynamic panel estimators robust to cross-sectionally correlated errors. Firstly, our findings suggest an asymmetrical ERPT in the SSA region during the short-term, whereas there are mixed results across sub-regions in the long-term. Next, we find incomplete and significant ERPT to consumer prices in the entire SSA region which is higher during the depreciation of the local currency than after appreciations. Third, we find nonlinear ERPT with respect to the size of the exchange rate. The pass-through is higher during large exchange rate changes than after small changes. Finally, we find that the pass-through is greater in the countries with fixed exchange rate regime (CFA franc zone) having low inflationary environment than in the other SSA countries with flexible exchange rate regime and high inflation levels. As a result, policymakers should take into account these asymmetries and non-linearities to improve the credibility of monetary policy, strengthen trade liberalization and establish competitive market structures in the Sub-Saharan region.
The education system has been radically transformed by technological impetuses owed to the Fourth Industrial Revolution (4.0). Most recently, developing nations expedited smart education implementation to combat the negative effects COVID-19 has on education; thus, presenting managerial issues. A review of the literature on smart education shows that past studies focused primarily on the smart learning environment, substantially ignoring the importance of leadership and human resources capacity in the management of smart education. This study addresses the deficiency observed in the literature as it relates to the key factors that enable success in the management of smart education. The study applied a quantitative approach that derived data from a structured survey of probability simple random sampled Grenadian employees belonging to tertiary education. The Hayes multiple moderated mediation, Model 23, supported by SPSS-PROCESS Macro software was used to examine the study’s model. Results showed that human resources capacity has a conditional indirect effect on smart education through the mediating variable of leadership capacity. Additionally, the moderating variables of additional investment in the ‘ɑ’ path and student demographics in the ‘ɓ’ path both displayed significant moderating effects. The findings of the study have provided several valuable insights into the theoretical and practical implications of the influence of leadership and human resources capacity in the implementation of smart education. Therefore, it is recommended, that the soft variables assessed in this paper need to be harnessed accordingly to achieve smart education.
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