An Analysis of Commercial Banks� Credit on Economic Growth in Nigeria

Yakubu, Zakaria; Affoi, A.Y.

doi:10.19026/crjet.6.5531

Cited by 22 publications

(23 citation statements)

References 3 publications

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“…This implies that 1 percent growth in commercial bank’s loan will lead to 0.09 percent growth in non-oil output in SSA. This positive relationship of commercial bank’s loan with non-oil GDP is con-sistent with the findings of Fukuda (1999) and Yakubu and Affoi (2014). Other variables (i.e., labor and capital) have positive relationship with non-oil GDP, and the results are also statistically sig-nificant.…”

Section: Data Analysis and Empirical Resultssupporting

confidence: 77%

Growth Effect of Export Promotion on Non-oil Output in Sub-Saharan Africa (1970–2014)

Tolulope

Okunlola²

2017

Emerging Economy Studies

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The study examines the growth effect of export promotion strategies on non-oil output in the sub-Saharan African (SSA) countries between 1970 and 2014. The study employed panel data and three estimation techniques (pooled ordinary least square [OLS], fixed effect, and dynamic generalized moment method [GMM]) to analyze the data. In addition, export promotion policies (EPPs) such as commercial bank credit to private sector, foreign direct investment (FDI) to non-oil sector, real effective exchange rate, and government expenditure were used. Results show that all export promotion policy instruments used have a significant effect on non-oil output in SSA. Also, while bank credit to private sector have positive and significant effect, FDI, government expenditure, and exchange rate will crowd out growth effect of export promotion. The study concluded that favorable EPPs will stimulate non-oil output growth.

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Section: Data Analysis and Empirical Resultssupporting

confidence: 77%

Growth Effect of Export Promotion on Non-oil Output in Sub-Saharan Africa (1970–2014)

Tolulope

Okunlola²

2017

Emerging Economy Studies

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“…Islamic bank has a prominent contribution toward health financial system of a country. This is because of commercial bank is the most affected bank toward financial stability in many countries (Adami, Gough, Muradoglu, & Sivaprasad, 2010;Yakubu & Affoi, 2014). Commercial bank has large asset number and market scope; therefore, all market segments can be reached by commercial bank.…”

Section: Introductionmentioning

confidence: 99%

Eﬃciency Determinant Analysis in Islamic Bank in Indonesia

Devi

Firmansyah

2020

muqtasid

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This study is aimed to discover eﬃciency determinant factors of Islamic banks in Indonesia to maintain ﬁnancial system stability. Financial data of 11 Islamic Banks in Indonesia was obtained from 2010-2019. Purposive sampling method is employed to determine the obtained-sample with the availability of ﬁnancial statements as criteria. There are two analysis data methods, ﬁrstly, Data Envelopment Analysis (DEA) is employed to calculate the eﬃciency score and analyze the eﬃciency condition of Islamic banks, and secondly multiple regression analysis which is employed to identify the determinant factors of eﬃciency. Based on the research model used, this study found that only the CAR and size variables were able to signiﬁcantly increase the eﬃciency of Islamic banks. Likewise, macroeconomic variables have not been able to have any impact on the level of eﬃciency. Policy recommendations are also provided in the end of the discussion chapter.

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“…These studies showed the impact of credit growth on economic growth in each country studied by different authors (e.g. Fapetu & Obalade, 2015;Yakubu & Affoi, 2014;Suna, 2015;Dinh, 2018).…”

Section: Methodology and Data Analysesmentioning

confidence: 98%

Forecasting domestic credit growth based on ARIMA model: Evidence from Vietnam and China

Dinh¹

2020

10.5267/j.msl

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Credit is an economic category and is also a product of the commodity economy, which exists through many socioeconomic forms to promote economic growth. Therefore, the objective of this paper is to analyst, compare and forecast domestic credit growth in Vietnam's and China's economy. Thus, the paper is applied by a method of an autoregressive integrated moving average (ARIMA) model. This model is fitted to time series data both to better understand the data and to forecast future points in the series. Hereby, the methodology is selected by Vietnam's best-fit model ARIMA (2,3,1) and China's best-fit model ARIMA (2,3,5). Analytical data are collected from 1996 to 2017, the sample fitted the model and is statistically significant. The result show the forecast result for next years. The Vietnamese and Chinese economy are the open economies and have domestic credit greatly contributed to economic growth. These results are the basis for policymakers to have a general view and define the impact of domestic credit growth on GDP between the two countries.

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An Analysis of Commercial Banks� Credit on Economic Growth in Nigeria

Cited by 22 publications

References 3 publications

Growth Effect of Export Promotion on Non-oil Output in Sub-Saharan Africa (1970–2014)

Growth Effect of Export Promotion on Non-oil Output in Sub-Saharan Africa (1970–2014)

Eﬃciency Determinant Analysis in Islamic Bank in Indonesia

Forecasting domestic credit growth based on ARIMA model: Evidence from Vietnam and China

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