AGDI currently has about 300 publications.
2018 |
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1. | Applied Econometrics and International Development, 18 (1), pp. 5-22, 2018. Abstract | Links | BibTeX | Tags: Economic Growth; Emerging countries; Quantile regression @article{Asongu_340, url = {https://ideas.repec.org/a/eaa/aeinde/v18y2018i1_1.html}, year = {2018}, date = {2018-06-01}, journal = {Applied Econometrics and International Development}, volume = {18}, number = {1}, pages = {5-22}, abstract = {This study compares the responsiveness of microcredit interest rates to age, scale of lending and organisational charter. It uses an unbalanced panel of 300 MFIs from 107 developing countries from 2005 to 2015. Three key trends emerge from the results of a 2SLS regression. First, the adoption of formal microbanking practices raises interest rates compared with other forms of microlending. Second, large scale lending lowers interest rates only for those MFIs that already hold legal banking status. Third, age of operation in excess of eight years exerts a negative impact on interest rates, regardless of scale and charter type of MFI. Collectively, our results indicate that policies which incentivise mature MFIs to share their knowledge will be more effective in helping the nascent institutions to overcome their cost disadvantages compared with reforms to transform them into licensed banks. For MFIs which already hold permits to operate as banks, initiatives to increase loan sizes are key strategic pricing decisions, irrespective of the institution’s age. This study is original in its differentiation of the impact on interest rates of regulations which promote formal banking principles, credit market extension vis-à-vis knowledge sharing between mature and nascent MFIs.}, keywords = {Economic Growth; Emerging countries; Quantile regression}, pubstate = {published}, tppubtype = {article} } This study compares the responsiveness of microcredit interest rates to age, scale of lending and organisational charter. It uses an unbalanced panel of 300 MFIs from 107 developing countries from 2005 to 2015. Three key trends emerge from the results of a 2SLS regression. First, the adoption of formal microbanking practices raises interest rates compared with other forms of microlending. Second, large scale lending lowers interest rates only for those MFIs that already hold legal banking status. Third, age of operation in excess of eight years exerts a negative impact on interest rates, regardless of scale and charter type of MFI. Collectively, our results indicate that policies which incentivise mature MFIs to share their knowledge will be more effective in helping the nascent institutions to overcome their cost disadvantages compared with reforms to transform them into licensed banks. For MFIs which already hold permits to operate as banks, initiatives to increase loan sizes are key strategic pricing decisions, irrespective of the institution’s age. This study is original in its differentiation of the impact on interest rates of regulations which promote formal banking principles, credit market extension vis-à-vis knowledge sharing between mature and nascent MFIs. |
2. | Asongu, Nicholas Odhiambo Simplice 2018. Abstract | Links | BibTeX | Tags: Economic Growth; Emerging countries; Quantile regression @unpublished{Asongu_358, author = {Nicholas Odhiambo Simplice Asongu}, url = {http://www.afridev.org/RePEc/agd/agd-wpaper/Drivers-of-Growth-in-Fast-Emerging-Economies.pdf}, year = {2018}, date = {2018-04-18}, abstract = {We analyze the evolution of fast emerging economies of the BRICS (Brazil, Russia, India, China & South Africa) and MINT (Mexico, Indonesia, Nigeria & Turkey) countries, by assessing growth determinants throughout the conditional distributions of the growth rate and real GDP output for the period 2001-2011. An instrumenal variable (IV) quantile regression approach is complemented with Two-Stage-Least Squares and IV Least Absolute Deviations. We find that the highest rates of growth of real GDP per head, among the nine countries of this study, corresponded to China, India, Nigeria, Indonesia and Turkey, but the highest increases in real GDP per capita corresponded, in descending order, to Turkey China, Brazil, South Africa and India. This study analyzes the impacts of several indicators on the increase of the rate of growth of real GDP and on the logarithm of the real GDP. We analyze several limitations of the methodology, related with the selection of the explained and the explanatory variables, the effect of missing variables, and the particular problems of some indicators. Our results show that Net Foreign Direct Investment, Natural Resources, and Political Stability have a positive and significant impact on the rate of growth of real GDP or on real GDP.}, keywords = {Economic Growth; Emerging countries; Quantile regression}, pubstate = {published}, tppubtype = {unpublished} } We analyze the evolution of fast emerging economies of the BRICS (Brazil, Russia, India, China & South Africa) and MINT (Mexico, Indonesia, Nigeria & Turkey) countries, by assessing growth determinants throughout the conditional distributions of the growth rate and real GDP output for the period 2001-2011. An instrumenal variable (IV) quantile regression approach is complemented with Two-Stage-Least Squares and IV Least Absolute Deviations. We find that the highest rates of growth of real GDP per head, among the nine countries of this study, corresponded to China, India, Nigeria, Indonesia and Turkey, but the highest increases in real GDP per capita corresponded, in descending order, to Turkey China, Brazil, South Africa and India. This study analyzes the impacts of several indicators on the increase of the rate of growth of real GDP and on the logarithm of the real GDP. We analyze several limitations of the methodology, related with the selection of the explained and the explanatory variables, the effect of missing variables, and the particular problems of some indicators. Our results show that Net Foreign Direct Investment, Natural Resources, and Political Stability have a positive and significant impact on the rate of growth of real GDP or on real GDP. |
2015 |
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3. | Asongu, Simplice A Drivers of Growth in Fast Emerging Economies: A Dynamic Instrumental Quantile Approach 2015. Abstract | Links | BibTeX | Tags: Economic Growth; Emerging countries; Quantile regression @workingpaper{Asongu2015b_37, title = {Drivers of Growth in Fast Emerging Economies: A Dynamic Instrumental Quantile Approach}, author = {Simplice A Asongu}, editor = {African 2015 Governance and Development Institute WP/15/009}, url = {http://www.afridev.org/RePEc/agd/agd-wpaper/Drivers-of-Growth-in-Fast-Emerging-Economies.An-instrumental-quantile-approach.pdf}, year = {2015}, date = {2015-03-01}, abstract = {This study complements the scarce literature on growth determinants in fast emerging economies of the BRICS and MINT by assessing the determinants throughout the conditional distributions of the growth rate and real GDP output for the period 2001-2011. An instrumenal variable (IV) quantile regression approach is complemented with Two-Stage-Least Squares and IV Least Absolute Deviations. The instrumentation process is dynamic. The following findings are established. First, while Gross FDI has a negative effect on economic growth, the impact of Net FDI is positive, with a higher magnitude in top quantiles of the distributions. Second, the positive effect of natural resources is more apparent in countries with low initial growth levels. Third, the impact of telecommunications infrastructure is not very significant. Fourth, whereas the incidence of bank credit is positive for GDP growth, it is negative for real GDP output. Fifth, while trade openness is positive in bottom quantiles of GDP growth, but for the highest quantile in real GDP output, it is consistently negative on real GDP output. Sixth, while the incidence of political stability is negative on GDP growth, it is positive on real GDP output, with the negative (positive) effect apparent only in top (bottom) quantiles of GDP growth (real GDP output). Policy implications are discussed.}, keywords = {Economic Growth; Emerging countries; Quantile regression}, pubstate = {published}, tppubtype = {workingpaper} } This study complements the scarce literature on growth determinants in fast emerging economies of the BRICS and MINT by assessing the determinants throughout the conditional distributions of the growth rate and real GDP output for the period 2001-2011. An instrumenal variable (IV) quantile regression approach is complemented with Two-Stage-Least Squares and IV Least Absolute Deviations. The instrumentation process is dynamic. The following findings are established. First, while Gross FDI has a negative effect on economic growth, the impact of Net FDI is positive, with a higher magnitude in top quantiles of the distributions. Second, the positive effect of natural resources is more apparent in countries with low initial growth levels. Third, the impact of telecommunications infrastructure is not very significant. Fourth, whereas the incidence of bank credit is positive for GDP growth, it is negative for real GDP output. Fifth, while trade openness is positive in bottom quantiles of GDP growth, but for the highest quantile in real GDP output, it is consistently negative on real GDP output. Sixth, while the incidence of political stability is negative on GDP growth, it is positive on real GDP output, with the negative (positive) effect apparent only in top (bottom) quantiles of GDP growth (real GDP output). Policy implications are discussed. |