Etude de l'impact des Micros crédits sur le secteur d'Artisanat : Une approche qualitative appliquée a la région de Gafsa

Cet article traite des propriétés et des points de faiblesses de l'évaluation statistique des micros crédit. Particulièrement l'objet du papier et d'analyser l'impact des micros crédits sur le secteur artisanat en Tunisie (région de Gafsa). Cette étude régionale porte sur un échantillon de 244 individus. Même si l'évaluation statistique n'est pas destinée à remplacer les groupes de responsabilité conjointe ou le jugement subjectif des agents de crédit, sa capacité de prédire facilite l'évaluation des risques des candidats de microcrédit. Cet article énumère ce que l'évaluation statistique peut faire et ne peut pas faire dans la microfinance et donne les grandes lignes des étapes principales d'un projet d'évaluation statistique.Micro crédit, Artisanat, Analyse en composantes principales, Econométrie des variables qualitatives.

Complementarity between private and public investment in R&D: A Dynamic Panel Data analysis

This paper investigates the relationship between private and public investment in R&D, while taking into account the effect of several instruments policies such as subsidies and taxes. We design a new look of knowledge spillovers and R&D cooperation to explain the contribution of public and private R&D on growth. We propose a heterogeneous dynamic panel data model to consider the endogenous effect of R&D investment. We also distinguish between the estimated long and short run results. Our results based on a sample of 23 countries over the period 1992-2004 indicate that both public and private investments in R&D are complementary. By establishing an endogenous growth model, the estimates indicate that public and private R&D depends on the host country's human capital investment. Results indicate that foreign direct investment is a more significant spillover channel than imports.R&D investment; Technology Spillovers; Complementarities; Economic growth; Dynamic Panel Data; Cointegration; Unit root test; Private investment; Public investment; R&D cooperation

Complementarity between private and public investment in R&D: A Dynamic Panel Data analysis

This paper investigates the relationship between private and public investment in R&D, while taking into account the effect of several instruments policies such as subsidies and taxes. We design a new look of knowledge spillovers and R&D cooperation to explain the contribution of public and private R&D on growth. We propose a heterogeneous dynamic panel data model to consider the endogenous effect of R&D investment. We also distinguish between the estimated long and short run results. Our results based on a sample of 23 countries over the period 1992-2004 indicate that both public and private investments in R&D are complementary. By establishing an endogenous growth model, the estimates indicate that public and private R&D depends on the host country's human capital investment. Results indicate that foreign direct investment is a more significant spillover channel than imports

R&D Cooperation and economic growth: A dynamic panel data analysis

Dans ce papier, on se propose d’étudier la relation entre la coopération en R&D et la croissance économique. Nous essayerons d’apporter quelques éclairages théoriques sur les relations de coopération technologique en s’intéressant à l’émergence de la coopération entant que nouveau mode de coordination des activités économiques. Notre étude empirique se base sur différentes méthodes d’estimations développées récemment dans le cadre des panels dynamiques pour un échantillon de 23 pays sur la période 1992-2004. Nous utiliserons la méthode des GMM d’Arellano et Bond (1992), les tests de causalité et de racine unitaire appliqués sur donnée de panel. Les conclusions totales suggèrent une relation positive et significative.Coopération en R&D; Croissance économique; Données de panel dynamique; Externalités technologiques

The Impact of the COVID-19 Pandemic on the Cryptocurrency Market

The purpose of our paper is to analyze the main factors which influence fiscal balance’s evolution and thereby identify solutions for configuring a sustainable fiscal policy. We have selected as independent variables some of the main macroeconomic measures, respectively public debt, unemployment rate, economy openness degree, population, consumer goods’ price index, current account balance, direct foreign investments and economic growth rate. Our research method uses two econometric models applied on a sample of 22 countries, respectively 14 developed and 8 emergent. The first model is a multiple regression and studies the connection between the fiscal balance and selected independent variables, whereas the second one uses first order differences and introduces economic freedom as a dummy variable to catch the dynamic influences of selected measures upon fiscal result. The time interval considered was 1999-2013. The results generated using the two models revealed that public debt, current account balance and economic growth significantly influence the fiscal balance. As a consequence, the governments need to plan and implement a fiscal policy which resonates with economy priorities and the phase of the economic cycle, as well as ensure a proper management of the public debt, stimulate sustainable economic growth and employment

Coopération en R&D et croissance économique : Une analyse par les données de panel dynamique

Dans ce papier, on se propose d’étudier la relation entre la coopération en R&D et la croissance économique. Nous essayerons d’apporter quelques éclairages théoriques sur les relations de coopération technologique en s’intéressant à l’émergence de la coopération entant que nouveau mode de coordination des activités économiques. Notre étude empirique se base sur différentes méthodes d’estimations développées récemment dans le cadre des panels dynamiques pour un échantillon de 23 pays sur la période 1992-2004. Nous utiliserons la méthode des GMM d’Arellano et Bond (1992), les tests de causalité et de racine unitaire appliqués sur donnée de panel. Les conclusions totales suggèrent une relation positive et significative

International R&D spillovers and cooperation: A cointegration panel data analysis for the South of Mediterranean countries

Abstract: In this paper, we consider R&D cooperation and direct foreign investment as a channel of international spillovers by an empirical literature on innovation and growth. First, spillovers are limited to the country where R&D is conducted; the growth rate in each country will be determined by the country's own R&D-efforts and by R&D cooperation ignored a long time in growth literature. Second, spillovers take place across borders, and growth rates will tend to converge across countries. Two potential channels for R&D spillovers are examined: localisation of FDI and R&D cooperation. In examining these issues, panel data for six Mediterranean countries will be used over the period 1970 to 2008

Complementarity between private and public investment in R&D: A Dynamic Panel Data analysis

This paper investigates the relationship between private and public investment in R&D, while taking into account the effect of several instruments policies such as subsidies and taxes. We design a new look of knowledge spillovers and R&D cooperation to explain the contribution of public and private R&D on growth. We propose a heterogeneous dynamic panel data model to consider the endogenous effect of R&D investment. We also distinguish between the estimated long and short run results. Our results based on a sample of 23 countries over the period 1992-2004 indicate that both public and private investments in R&D are complementary. By establishing an endogenous growth model, the estimates indicate that public and private R&D depends on the host country's human capital investment. Results indicate that foreign direct investment is a more significant spillover channel than imports.

Contagion in the stock markets: the 2007 subprime financial crisis

In this article, we test the presence of financial contagion during the subprime mortgage crisis of 2007. For this purpose, we propose a new procedure for testing the non-linearity of the mechanisms of the shock distribution estimated through a model of long-term interdependence. We apply this methodology to the stock markets. Our empirical study shows the contamination of France, Germany, the UK and Japan.subprime financial crisis; financial contagion; nonlinear error correction models; subprime crisis; shock distribution; stock markets; France; Germany; UK; United Kingdom; Japan.