Suchergebnisse

This article seeks to highlight in more depth the public levers of action in the implementation of anticorruption policies within the countries among the Central Africa region. Using non-supervised statistical method, we first study the profile of the countries concerned (institutional, social, entrepreneurial, etc.), then secondly, we analyze the impact of public measures on the extent of corruption at the national level. We manage to demonstrate that there is a common and standard subregional political program intended for public decision-makers, regardless of the degree of heterogeneity of national structures.

This article seeks to highlight in more depth the public levers of action in the implementation of anticorruption policies within the countries among the Central Africa region. Using non-supervised statistical method, we first study the profile of the countries concerned (institutional, social, entrepreneurial, etc.), then secondly, we analyze the impact of public measures on the extent of corruption at the national level. We manage to demonstrate that there is a common and standard subregional political program intended for public decision-makers, regardless of the degree of heterogeneity of national structures.

This article seeks to highlight in more depth the public levers of action in the implementation of anticorruption policies within the countries among the Central Africa region. Using non-supervised statistical method, we first study the profile of the countries concerned (institutional, social, entrepreneurial, etc.), then secondly, we analyze the impact of public measures on the extent of corruption at the national level. We manage to demonstrate that there is a common and standard subregional political program intended for public decision-makers, regardless of the degree of heterogeneity of national structures.

This article seeks to highlight in more depth the public levers of action in the implementation of anticorruption policies within the countries among the Central Africa region. Using non-supervised statistical method, we first study the profile of the countries concerned (institutional, social, entrepreneurial, etc.), then secondly, we analyze the impact of public measures on the extent of corruption at the national level. We manage to demonstrate that there is a common and standard subregional political program intended for public decision-makers, regardless of the degree of heterogeneity of national structures.

The vast majority of research focuses on the individual factors leading to coronavirus mortality. Numerous studies have shown that the age of the population is the dominant factor explaining mortality. Other more recent work has added gender, comorbidity, ethnicity and obesity. Based on the most populous and dense region of France-Île-de-France, grouping 8 heterogeneous departments in terms of wealth-our study seeks to identify whether economic and financial or structural factors related to housing can explain a faster circulation of the virus during social dis-tancing like lockdown, and therefore lead to excess mortality. We show that agglomerations with higher precariousness indicators (unemployment benefit income, poverty rate, social minima in income, little or no graduate in the workforce) and less suitable housing (potentially unworthy housing, household size, overcrowded housing) are more at risk, including if their population is younger. Our study therefore provides political leaders with a number of indications allowing them to take effective measures in the event of a second wave of COVID-19 or forthcoming coronavirus pandemics.

The vast majority of research focuses on the individual factors leading to coronavirus mortality. Numerous studies have shown that the age of the population is the dominant factor explaining mortality. Other more recent work has added gender, comorbidity, ethnicity and obesity. Based on the most populous and dense region of France-Île-de-France, grouping 8 heterogeneous departments in terms of wealth-our study seeks to identify whether economic and financial or structural factors related to housing can explain a faster circulation of the virus during social dis-tancing like lockdown, and therefore lead to excess mortality. We show that agglomerations with higher precariousness indicators (unemployment benefit income, poverty rate, social minima in income, little or no graduate in the workforce) and less suitable housing (potentially unworthy housing, household size, overcrowded housing) are more at risk, including if their population is younger. Our study therefore provides political leaders with a number of indications allowing them to take effective measures in the event of a second wave of COVID-19 or forthcoming coronavirus pandemics.

The vast majority of research focuses on the individual factors leading to coronavirus mortality. Numerous studies have shown that the age of the population is the dominant factor explaining mortality. Other more recent work has added gender, comorbidity, ethnicity and obesity. Based on the most populous and dense region of France-Île-de-France, grouping 8 heterogeneous departments in terms of wealth-our study seeks to identify whether economic and financial or structural factors related to housing can explain a faster circulation of the virus during social dis-tancing like lockdown, and therefore lead to excess mortality. We show that agglomerations with higher precariousness indicators (unemployment benefit income, poverty rate, social minima in income, little or no graduate in the workforce) and less suitable housing (potentially unworthy housing, household size, overcrowded housing) are more at risk, including if their population is younger. Our study therefore provides political leaders with a number of indications allowing them to take effective measures in the event of a second wave of COVID-19 or forthcoming coronavirus pandemics.

The vast majority of research focuses on the individual factors leading to coronavirus mortality. Numerous studies have shown that the age of the population is the dominant factor explaining mortality. Other more recent work has added gender, comorbidity, ethnicity and obesity. Based on the most populous and dense region of France-Île-de-France, grouping 8 heterogeneous departments in terms of wealth-our study seeks to identify whether economic and financial or structural factors related to housing can explain a faster circulation of the virus during social dis-tancing like lockdown, and therefore lead to excess mortality. We show that agglomerations with higher precariousness indicators (unemployment benefit income, poverty rate, social minima in income, little or no graduate in the workforce) and less suitable housing (potentially unworthy housing, household size, overcrowded housing) are more at risk, including if their population is younger. Our study therefore provides political leaders with a number of indications allowing them to take effective measures in the event of a second wave of COVID-19 or forthcoming coronavirus pandemics.

This paper analyses the effects of financial globalization on growth in developing countries, focusing on its interaction with exchange rate volatility. Based on dynamic panel data models and the two-step system Generalized Method of Moments (system GMM) estimator, it replicates the method of Gaies et al. (2019a; 2019b) and extends it by exploring a new spillover effect of financial globalization in terms of exchange rate volatility measured by six different indicators. The findings show the positive influence of investment-globalization on growth through the traditional channel of capital accumulation and by reducing the negative impact of exchange rate volatility. These impacts are not ensured by indebtedness-globalization, thereby shedding light on the government's decision in developing countries on foreign capital control policy. These results are robust to changes in the estimator and variables used.

We examine the effects of financial globalization and exchange rate volatility on growth in emerging and developing countries. We generate several measures of exchange rate volatility, as well as their interaction terms with indicators of disaggregated financial globalization. Using the two-step GMM system method on dynamic panel data, we find that exchange rate volatility has a negative impact on long-term growth. On the contrary, financial globalization, and particularly investment-globalization, promotes growth not only directly, but also indirectly, by reducing the negative impact of exchange rate volatility. However, the results show that indebtedness-globalization does not produce these benefits. In this way, the results inform the government's decision on the liberalization of the domestic financial market. JEL: E44, F21, F36, O42, G15, G18

We examine the determinants of banking crises occurrence in developing countries, focusing on the impact of the nature of external liabilities and exchange rate stability. For this purpose, we use a logit panel model, including 67 developing countries observed between 1972 and 2011, as well as a set of alternative estimation methods (logit fixed-effects and probit random-effects) and robustness tests. We find that FDI liabilities reduce the occurrence of banking crises, but debt liabilities increase them. In addition, banking crises occurrence decreases in developing countries with the stability of the exchange rate, real GDP growth, as well as better human capital quality and better political institutions.

This paper analyses the effects of financial globalization on growth in developing countries, focusing on its interaction with exchange rate volatility. Based on dynamic panel data models and the two-step system Generalized Method of Moments (system GMM) estimator, it replicates the method of Gaies et al. (2019a; 2019b) and extends it by exploring a new spillover effect of financial globalization in terms of exchange rate volatility measured by six different indicators. The findings show the positive influence of investment-globalization on growth through the traditional channel of capital accumulation and by reducing the negative impact of exchange rate volatility. These impacts are not ensured by indebtedness-globalization, thereby shedding light on the government's decision in developing countries on foreign capital control policy. These results are robust to changes in the estimator and variables used.