scholarly journals Financial Development and Economic Growth: Case of Mali

Author(s):  
Dr N’Diaye Mamadou

This article examines the relationship between financial development and economic growth in Mali. The process by which financial development affects economic growth in Mali has been observed: first, by regressing a growth equation, and second, by Granger causality. To do this, the ordinary least squares method is used to estimate an error correction model over the period 1980-2015. The results obtained show that bank deposits and loans to the economy have a negative and significant effect on short-term economic growth. Moreover, the money supply has a negative and significant effect on economic growth in the short and long term. Moreover, public spending and trade openness has a positive and significant effect on economic growth, in the short and long term for the former and, in the long term for the latter. In addition, no Granger causal link was detected. A probable improvement lies in the continuation of the reforms, already undertaken by the CBWAS.

Economies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 174
Author(s):  
Khalid Eltayeb Elfaki ◽  
Rossanto Dwi Handoyo ◽  
Kabiru Hannafi Ibrahim

This study aimed to scrutinize the impact of financial development, energy consumption, industrialization, and trade openness on economic growth in Indonesia over the period 1984–2018. To do so, the study employed the autoregressive distributed lag (ARDL) model to estimate the long-run and short-run nexus among the variables. Furthermore, fully modified ordinary least squares (FMOLS), dynamic least squares (DOLS), and canonical cointegrating regression (CCR) were used for a more robust examination of the empirical findings. The result of cointegration confirms the presence of cointegration among the variables. Findings from the ARDL indicate that industrialization, energy consumption, and financial development (measured by domestic credit) positively influence economic growth in the long run. However, financial development (measured by money supply) and trade openness demonstrate a negative effect on economic growth. The positive nexus among industrialization, financial development, energy consumption, and economic growth explains that these variables were stimulating growth in Indonesia. The error correction term indicates a 68% annual adjustment from any deviation in the previous period’s long-run equilibrium economic growth. These findings provide a strong testimony that industrialization and financial development are key to sustained long-run economic growth in Indonesia.


2021 ◽  
Author(s):  
Md. Mahmudul Alam ◽  
Wahid Murad

This study investigates the short-term and long-term impacts of economic growth, trade openness and technological progress on renewable energy use in Organization for Economic Co-operation and Development (OECD) countries. Based on a panel data set of 25 OECD countries for 43 years, we used the autoregressive distributed lag (ARDL) approach and the related intermediate estimators, including pooled mean group (PMG), mean group (MG) and dynamic fixed effect (DFE) to achieve the objective. The estimated ARDL model has also been checked for robustness using the two substitute single equation estimators, these being the dynamic ordinary least squares (DOLS) and fully modified ordinary least squares (FMOLS). Empirical results reveal that economic growth, trade openness and technological progress significantly influence renewable energy use over the long-term in OECD countries. While the long-term nature of dynamics of the variables is found to be similar across 25 OECD countries, their short-term dynamics are found to be mixed in nature. This is attributed to varying levels of trade openness and technological progress in OECD countries. Since this is a pioneer study that investigates the issue, the findings are completely new and they make a significant contribution to renewable energy literature as well as relevant policy development.


2021 ◽  
Vol 3 (1) ◽  
pp. 42-60
Author(s):  
Damian Honey

In the past financial development and petroleum prices have been identified as acrucial factor influencing economic growth. This provoked us to explore the way financial development and petroleum prices influence the trade openness in Pakistan. The sample of yearly data is collected from 1980 to 2016 in order to apply ARDL cointegration method. Our results reflect the presence of long term cointegration between trade openness and its factors. This suggest that with the rise in credit in private sector there is eventual impact on imports and exports whereas the international petroleum prices also impact the same by pushing the prices of goods. Hence it is recommended that hedging the oil prices and the expansion of credit in Pakistan is worthwhile in terms of trade openness.


2021 ◽  
Vol 13 (18) ◽  
pp. 10085
Author(s):  
Li Chunling ◽  
Javed Ahmed Memon ◽  
Tiep Le Thanh ◽  
Minhaj Ali ◽  
Dervis Kirikkaleli

This novel research looked into the role of public-private partnership investment in energy in affecting Pakistan’s long-term environmental sustainability. Employing time series data from 1992 to 2018 and utilizing the autoregressive distributive lag model (ARDL) model, we found a long-term equilibrium association of ecological footprint with public-private partnership investment in energy, technological innovation, economic growth, and trade openness. Our outcomes showed a significant positive association between public-private partnership investment in energy and ecological footprint in the long-run and the short-run, specifying that the increase in public-private partnership investment in energy affects the environmental sustainability of Pakistan. Similarly, our study confirmed that technological innovation, economic growth, and trade openness increase the ecological footprint in Pakistan. It demonstrates that these factors are unfavorable to the sustainable environment in Pakistan. Furthermore, robustness check findings are analogous to the results of ARDL estimates, utilizing dynamic ordinary least squares and fully modified ordinary least squares. On the basis of the research conclusions, a multi-pronged sustainable development goal (SDG) model was proposed that addresses SDG 8 and SDG 13 while incorporating SDG 17 as a medium.


2020 ◽  
Vol 8 (4) ◽  
pp. 629-642
Author(s):  
Jafer Safer

This research aims to study to determine the impact of economic shocks on economic growth in Iraq during the period (2004-2018), and the most important factors that affect economic growth have been identified. And represented in oil prices, the exchange rate, external debt and trade openness, which represent the independent variables of the model used, whereas, economic growth was expressed in gross domestic product as a dependent variable. The usual least squares method is used to estimate the model parameters. The unit root test and the cointegration test were also used. The pulse response functions were estimated to determine the impact of economic shocks on the Iraqi economy during the study period. It was found from the results of the estimation that the time series of the study has stabilized after taking the first differences, There is also a complementarity, that is, there is a long-term equilibrium relationship between the variables used, It was also found that the impact of economic shocks resulting from fluctuations in global oil prices was clear on the economic growth in Iraq.


Indian economy is experiencing a downturn in its business cycle, the relation between growth, inflation, exchange rate, trade openness, investment, export and import is examined, to understand how these variables influence the GDP of an economy. In this context this article is an attempt to identify the factors which helps to fasten the process of economic growth for India when it is passing through a phase of recession. Cointegration among variables in both short and long term is observed. Granger causality results indicate that all the variables cause/influence each other. The regression of the macro economic variables on GDP indicates that import, trade openness is significant and negatively related; whereas investment is positively related. Results of the study indicate investment in the economy will contribute to growth as it will reduce dependence on import.


2021 ◽  
Vol 9 (09) ◽  
pp. 920-931
Author(s):  
Sawssen Nafti

In this paper, we empirically investigate the causal relationship between financial development, environmental degradation (CO2 emissions), trade openness and economic growth (GDP), using Panel data (the theory of cointegration Pedroni (1999,2004)) for 12 MENA countries ( Middle East and North Africa) during the period 1990- 2014.The long-term relationships estimated by the modified least squares technique proposed by Pedroni (1996). Our results indicate that there is evidence for a bidirectionel causality between CO2 emissions and economic growth. Economic growth and trade openness are interdependent, it exist a bidirectionel causality. Also, we confirm a bidirectional causality among trade openness and financial development. The unidirectional causality of financial development on economic growth and openness to CO2 emissions trading is identified. Our empirical results also verified the existence of the environmental Kuznets curve hypothesis by the causal link between GDP and environmental polution. Finally, panel causality verifies the existance of bidirectional relationship between economic growth(GDP), environmental degradation(CO2 emissions), financial development and trade openness. This empirical knowledge is of particular interest to policy makers as it helps us create sound economic policies to support economic development and improve environmental quality.


2021 ◽  
Vol 13 (9) ◽  
pp. 25
Author(s):  
Abdulaziz Adel Abdulaziz Aldaarmi

The goal of this research was to explore Financial Development and Economic Growth in Saudi Arabia. This would provide evidence pertaining to the relationship between financial sector development and economic growth within the country’s context. In regard to methodology, this study purposed an Autoregressive Distributed Lag (ARDL) model and an ECM model to underline the short and long-term dynamics. To measure financial development, this study implemented the value of credits provided by the financial sector to the private sector divided by GDP. Furthermore, based on a comprehensive and holistic reading of the literature, this study also implemented the control variables of trade openness, gross fixed capital formation, and the labor force. The findings show that there are long- and short-term relationships between financial development and economic growth. The regression coefficients for the ARDL model and Unrestricted Error Correction Model (ECM) were found to be statistically significant at the 10% level. All control variables were found to influence the relationship between the independent and dependent variables.


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