scholarly journals Influence of Monetary Policy on The Credit Supply To Small and Medium Scale Enterprises In Nigeria (1993 -2018)

2021 ◽  
Author(s):  
Claudius Olaoye Awoniyi ◽  
Adebayo Tunbosun Ogundipe
Keyword(s):  
Monetary Policy ◽  
Central Bank ◽  
Secondary Data ◽  
Explanatory Variables ◽  
Medium Scale ◽  
Credit Supply ◽  
Distributed Lag ◽  
Long Run ◽  
Lending Rate ◽  
Short Run

Abstract The study examined the effect of monetary policy on credit supply to small and medium scale enterprises (SMEs) in Nigeria covering a temporal scope 1993 to 2018. It was modelled by using ratio of credit to SMEs to total credit (CSTC) as dependent variable while monetary policy rate (MPR), liquidity ratio (LQR), lending rate (LDR) and inflation (INF) were the explanatory variables. Secondary data were sourced from CBN Statistical Bulletin and the estimation was done using Auto regressive distributed lag (ARDL). The study found that monetary policy has negative and insignificant effects on credit supply to SMEs in the long run while in the short run, monetary policy has though insignificant positive but indirectly a significant positive effect through lending rate on credit available to SMEs. The implication is that, as MPR changes its effects are transmitted through lending rates of commercial banks to SMEs. Hence, the study concluded that monetary policy significantly and heterogeneously impacts on the credit supply to SMEs indirectly through lending rate in Nigeria. It was recommended among others that as the Central Bank of Nigeria continues to implement monetary policy in Nigeria, caution should be taken so that such decisions won’t be detrimental to businesses such as SMEs. In addition, MPR should be further reviewed downward in order to encourage SMEs from assessing more funds in Nigeria. Likewise, a pool of long-term funds should be created By Central Bank of Nigeria to bridge the financing gap of SMEs in Nigeria.

On productivity differential of export composition: evidence from India

2014 ◽  
Vol 7 (1) ◽  
pp. 38-50
Author(s):  
Avijit Debnath ◽  
Niranjan Roy ◽  
Priyanka Dasgupta ◽  
Nazira Mazumder
Keyword(s):  
Positive Impact ◽  
Secondary Data ◽  
Spillover Effects ◽  
Aggregate Level ◽  
Content Type ◽  
Export Sector ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Export Composition

Purpose – This paper aims to analyse the relationship between exports and non-export gross domestic product (GDP) in the context of Indian economy during 1988-2012. It considers export both at aggregate and disaggregated levels to examine whether export-led growth (ELG) hypothesis is sensitive to types of goods India exports. Design/methodology/approach – The OLS-based autoregressive distributed lag (ARDL) model has been employed to analyse the potential long-run equilibrium relationship. Further, the error correction model within the ARDL framework is applied to examine the short-run and long-run causal relationship between non-export GDP, export and other variables. The study is based on secondary data. Findings – The study indicates that at aggregate level, exports do not have any significant impact on output of non-export sector, and therefore, it is maintained that ELG hypothesis is not valid at aggregate level in India; when the authors disaggregate exports into merchandise and services exports, the latter has been found to have positive spillover effects on non-export sector of the economy. However, the association between merchandise export and non-export GDP is found to be statistically insignificant. When the authors further disaggregated merchandise exports, the authors observed that primary-product export has a negative association with non-export GDP, but export of manufacturing products found to have a significant positive impact on non-export GDP. Finally, export of petroleum product shows a negative long-run association with non-export GDP, but the association is statistically insignificant. Originality/value – It is not the case that India can simply increase its exports per se and be sure of witnessing economic growth, but instead it is the composition and the concentration of these exports that matters.

scholarly journals Credit management and performance of deposit money banks in Nigeria

2019 ◽  
Keyword(s):  
Deposit Insurance ◽  
Secondary Data ◽  
Data Bank ◽  
Positive Influence ◽  
Annual Reports ◽  
Credit Management ◽  
Long Run ◽  
Lending Rate ◽  
Negative Effect ◽  
Short Run

Granting of loans and advances remains one of the ways deposit money banks generate income to boost their performance. However, as important as this appears, it has led to incidence of rising non-performing loans in the credit portfolio of deposit money banks. Against this backdrop, this study investigated the effect of credit management on the performance of deposit money banks in Nigeria. The study employed secondary data sourced from Central Bank of Nigeria (CBN) statistical bulletin and annual reports of Nigeria Deposit Insurance Corporation (NDIC) from 1986 to2016. From the data, bank performance (dependent variable) was measured by return on assets (ROA) while credit management (independent variable) was proxied by ratio of non-performing loans to total loans (NPFL), bank deposit (BDEP) and lending rate (LENDR). The study employed autoregressive distributed lag (ARDL) technique to examine the effect of the independent variables on the dependent variable. The findings revealed that ratio of non-performing loans to total loans with coefficient of -0.362733 had negative effect in the short run but produced positive effect on performance of deposit money banks in the long run as indicated by the coefficient of 1.583503. On the other hand, bank deposit exhibited positive influence while lending rate had negative effect on the dependent variable both in the short run and long run. Given the overall significance of the model, it was concluded that credit management had significant effect on performance of deposit money banks in Nigeria. Thus, it was recommended that bank management should endeavor to reduce incidence of non-performing loans by conducting thorough assessment of any credit application prior to approval, especially customer’s character and previous credit record. Also, banks should closely monitor customer’s investment activities to ensure that granted loans are not diverted to unprofitable ventures which the loans are not initially meant for.

scholarly journals EXCHANGE RATE AND PERFORMANCE OF THE RESIDENTIAL PROPERTY MARKET IN KENYA

2019 ◽  
Vol 8 (3) ◽  
pp. 88-100
Author(s):  
Charles Gitiya Njoroge ◽  
Willy Muturi ◽  
Oluoch Oluoch
Keyword(s):  
Exchange Rate ◽  
Optimal Solution ◽  
Secondary Data ◽  
Residential Property ◽  
Property Market ◽  
Solution Vector ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Short Run

The purpose of the study was to establish the effect of exchange rate on the performance of the residential property market in Kenya. The study used secondary data that was accumulated using secondary data collection sheet from first quarter of 2005 to fourth quarter of 2018. The study conducted several test statistics and diagnostic tests in order to achieve the most optimal solution. Vector error correction model and auto-regressive distributed lag model were employed to test the hypothesis in the short run and long run respectively. The results found out that exchange rate had a negative effect on performance of residential properties in Kenya in both the short run and positive effect in long run. The study has narrowed down the research gap brought about by the conflicting emprical, theoretical and conceptual literature with regard to the effect of exchange rate on performance of residential property market in Kenya. Key Words: Exchange Rate, Performance, Residential Property

scholarly journals Response of Deposit Money Banks to Monetary Policy Dynamics in Nigeria

2020 ◽  
Vol 7 (4) ◽  
pp. 33
Author(s):  
Ejem, Chukwu Agwu ◽  
Ogbonna, Udochukwu Godfrey
Keyword(s):  
Monetary Policy ◽  
Central Bank ◽  
Deposit Insurance ◽  
Policy Instruments ◽  
Bank Performance ◽  
Long Run ◽  
Policy Dynamics ◽  
Short Run ◽  
Saving Deposit ◽  
Reserve Ratio

This study examined how banks react to the monetary policies transmission mechanisms of the central bank of Nigeria. The data employed were collected from Nigerian Deposit Insurance Cooperation and Central Bank of Nigeria and subjected to various finametric techniques. The major findings are that cash reserve ratio negatively and significantly affects the performance of deposit money banks in Nigeria, while other monetary policy variables exert insignificantly to the performance of deposit money banks. It was also found that apart from banks own shock; banks respond negatively to shocks from major monetary policy instruments. It was observed that Monetary Policy Rate causes bank performance in both in the short run and long run. While, Cash Reserve Ratio, Liquidity Ratio and Saving Deposit Rate do not cause bank performance in the short run but in the long run. It was also found that monetary policy instruments jointly cause bank performance in the short and long run as opposed by individual instruments in Nigeria. The researchers therefore suggest among others that central bank of Nigeria reduce the cash reserve ratio to enable deposit money banks extend more loans to their potential customers, thereby enhance performance.

Government revenue and economic growth of Pakistan (1979 – 2017)

2020 ◽  
Vol 38 (3) ◽  
Author(s):  
Wajahat Rehman ◽  
Raza Ali Khan ◽  
Shazia Kousar
Keyword(s):  
Economic Growth ◽  
Significant Relationship ◽  
Secondary Data ◽  
Forecasting Model ◽  
Tax Revenue ◽  
Government Revenue ◽  
Distributed Lag ◽  
Revenue Sources ◽  
Long Run ◽  
Short Run

The study is conducted to identify the relationship between economic growth of Pakistan and government revenue sources – i.e. Tax Revenue, Non-tax Revenue and Additional Receipts, while measuring the change in economic development occurs due to change in government revenue sources in short-run as well as in long-run. Autoregressive Distributed Lag (ARDL) is performed on time series secondary data for the period from 1979 to 2017 and a forecasting model is developed to anticipate change in economic growth due to change in government revenue sources. Results concluded that Tax Revenue has positive significant relationship and Additional Receipts have negative significant relationship, however, Non-tax Revenue has positive insignificant relationship with economic growth of Pakistan in long-run, whereas no short-run relationship is identified among dependent and independent variables. The analysis indicated that 1% change in Tax Revenue results in 1.24% change in economic growth in the same direction, whereas 1% change in Additional Receipts results in 0.18% change in opposite direction in economic growth of Pakistan in long-run. However, evidences showed that in recent years, government has increased its dependency on the Additional Receipts as compared to Tax Revenue and Non-tax Revenue. For prosper and accelerated economic growth, it is suggested that policy makers should focus on increasing the revenue collection from Tax Revenue sources since economic growth of Pakistan is positively influenced by Tax Revenue and minimize dependency on the Additional Receipts as it hinders the economic growth. Proposed forecasting model provides promising results and projected the gross domestic product (GDP) for year 2018 with mare 0.32% and 4.44% deviation in logarithm value and rupee values, respectively.

FAKTOR-FAKTOR YANG MEMPENGARUHI NILAI IMPOR KEDELAI INDONESIA

2014 ◽  
Vol 8 (1) ◽  
pp. 117-138 ◽  
Author(s):  
Aziz Muslim
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Soybean Oil ◽  
Secondary Data ◽  
Cointegration Analysis ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Government Role ◽  
Short Run

Kajian ini bertujuan untuk menentukan faktor-faktor yang mempengaruhi impor kedelai Indonesia. Data yang digunakan adalah data sekunder berbentuk time series, diolah dan dianalisis dengan metode estimasi dan kointegrasi Autoregressive Distributed Lag (ARDL). Hasil penelitian menunjukkan bahwa faktor-faktor yang mempengaruhi impor kedelai Indonesia dalam jangka pendek adalah impor kedelai sebelumnya, harga kedelai USA, harga minyak kedelai Argentina, dan nilai tukar Rupiah. Dalam jangka panjang faktor yang berpengaruh adalah harga minyak kedelai Argentina, PDB Indonesia, dan nilai tukar Rupiah. Kajian ini merekomendasikan bahwa mekanisme pengamanan stok kedelai maupun minyak kedelai bermanfaat untuk menjaga ketersediaan pangan dalam negeri. Peran aktif pemerintah dalam mengamankan stok kedelai nasional serta pengumpulan data-data tentang impor kedelai merupakan tuntutan yang mendesak. Untuk menjaga kestabilan harga dan pasokan kedelai dalam negeri perlu ada upaya untuk mendiversifikasi negara asal impor. The aim of this study is to determine the factors that affect Indonesia’s imports of soybean. The study utilized time series secondary data and Autoregressive Distributed Lag (ARDL) cointegration analysis. The results reveal that in the short run Indonesia’s import of soybean are influenced by Indonesia's soybean imports in the previous year, price of USA’s soybean, Argentina’s soybean oil price, and the Rupiah exchange rate. In the long run Indonesia’s imports of soybean are influenced by Argentina’s soybean oil, Indonesia GDP, and the Rupiah exchange rate. This study recommends that mechanism to maintain soybean stocks demanded is useful for food security.Therefore Government role is important in providing the accurate data on soybean stock, and diversification of the country of origin is crucial to maintain price stability and supply continuity in the country

IMPACT OF MONETARY POLICY TARGETS ON CAPITAL MARKET DEVELOPMENT IN NIGERIA

2021 ◽  
Vol 8 (1) ◽  
pp. 85-95
Author(s):  
Abdulkarim Musa ◽  
◽  
Uwaleke Uche ◽  
Nwala Nneka ◽  
◽  
...  
Keyword(s):  
Monetary Policy ◽  
Money Supply ◽  
Capital Market ◽  
Time Series Data ◽  
Market Development ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Impact

This study empirically examines the impact of monetary policy targetson capital market development in Nigeria from 1986-2018. Time series data and econometric tools were used to test for the stationarity and causality effect. The Auto-Regressive Distributed Lag Model (ARDL) and Error Correction Model (ECM) techniques were used to examine the short-run and long-run impact and relationship between Monetary Policy and Capital Market Development in Nigeria. The study revealed that both in the long run and short run Exchange Rate (EXCHR), Inflation Rate (INFR), and Interest Rate in Nigeria (INTR)were negatively related to Capital Market Development (CAMKTD) in Nigeria and they were statistically insignificant in explaining changes in Capital Market Development (CAMKTD) in Nigeria. On the other hand, inthe long run, Money Supply was positively related to Capital Market Development (CAMKTD) in Nigeria and was statistically significant at a 5% level significant while Money Supply (M2) was positively related to Capital Market Development (CAMKTD) in Nigeria both in the long run and short-run and was statistically significant at 5% level of significance. Therefore, the study recommends that government should improve the efficiency and effectiveness of the money supply in Nigeria since it was statistically significant in determining the improvement of Capital Market Development (CAMKTD) in Nigeria.

Globalisation, Economic Growth and Income Inequality in Nigeria

2020 ◽  
Vol 14 (2) ◽  
pp. 202-212
Author(s):  
NWOSA Philip Ifeakachukwu
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Secondary Data ◽  
Vector Error Correction ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
The Impact ◽  
Financial Globalisation

This article examines the link between globalisation, economic growth and income inequality in Nigeria using annual secondary data over the period 1981–2018. Specifically, it attempts to examine the following questions: (a) What is the direction of causation among globalisation, economic growth and inequality? (b) What is the impact of globalisation and economic growth on inequality? (iii) Do trade globalisation and financial globalisation have differential impacts on inequality in Nigeria? The article used both vector error correction modelling (VECM) and auto-regressive distributed lag (ARDL) techniques. The VECM results show a unidirectional causality from inequality and globalisation to economic growth in the long run, whereas a unidirectional causation was observed from inequality to economic growth in the short run. The ARDL estimate shows that globalisation and economic growth are significant determinants of inequality in Nigeria. Furthermore, it is observed that trade and financial globalisation influenced income inequality differently. In the light of these findings, the article recommends that the foreign direct investment should be channelled towards empowering the poor, and the dividends of economic growth should be evenly distributed to reduce the income inequality gap.

scholarly journals Financial Inclusion for Sustainable Economy: Empirical Evidence from Nigeria

2020 ◽  
Vol 17 ◽  
Keyword(s):  
Economic Growth ◽  
Secondary Data ◽  
Wald Test ◽  
Financial Inclusion ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Augmented Dickey Fuller ◽  
Short Run ◽  
Adf Test

The main objective of the study is to empirically examine how economic growth is impacted upon through financial inclusion. Economic growth per capital income is the study’s explained variables while, rural deposits, private sector deposits, rural loans, private loans, and number of banks branches are proxies for the explanatory variable. Secondary data was sourced from the Central Bank of Nigeria statistical bulletin and World Bank financial indicator and span thirty-five years (1982 to 2017). From the augmented dickey fuller (ADF) test results, autoregressive distributed lag (ARDL) regression was adopted. Findings shows that individually, rural deposits, and number of banks branches are significant in the short-run while, only the former is significant in the long-run. However, jointly, and from the Wald test result, a no significant relationship is established between the variables in the long-run. The study thus recommends a nurturing approach from primary to tertiary level of financial inclusion.

scholarly journals Pengaruh Guncangan Kebijakan Moneter dan Variabel Makro Terhadap Dana Pihak Ketiga (DPK) Bank Syariah di Indonesia

2017 ◽  
Vol 4 (8) ◽  
pp. 642
Author(s):  
Mohammad Abdul Adim ◽  
Raditya Sukmana
Keyword(s):  
Monetary Policy ◽  
Secondary Data ◽  
Islamic Banks ◽  
Monetary Policy Shocks ◽  
Financial Reports ◽  
Vector Autoregressive ◽  
Long Run ◽  
Policy Shocks ◽  
Short Run ◽  
Effect Of Monetary Policy

The purpose of this research is to find out the effect of monetary policy shocks and macro variables towards Islamic banks deposits. The method that used in this researc his quantitative method and also using secondary data which obtained from financial reports and other reports started from 2005 until the end of 2015. Analysis technique used is Johansen Cointegration and Vector Autoregressive (VAR). The result are monetary policy shocks have affect significant on deposits Islamic banks in long run and short run. Furthermore, variables macroeckonomic like GDP and CPI have effect significant on deposits in Islamic banks. interestingly, the money supply in the long run have significant effect on Islaimc banks deposits, but in the short run does not have a significant effect on the deposits of Islamic banks.

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