scholarly journals Factors Affecting Sectoral Employment in Nigeria during the Period of Growth (1981-2014)

2021 ◽  
Vol 11 (2) ◽  
pp. 63
Author(s):  
Adetunji Adeniyi
Keyword(s):  
Interest Rate ◽  
Wage Rate ◽  
Inflation Rate ◽  
Unit Root Test ◽  
Value Added ◽  
Secondary Data ◽  
National Bureau ◽  
Factors Affecting ◽  
Gross Value Added ◽  
Sectoral Differences

The Nigerian economy was characterised with high levels of unemployment during the periods of substantial growth between 1981 and 2014. Various economists described the growth regime as “jobless”. Sectoral differences were, also, observed with regard to their job absorptive capacities. Time series secondary data covering 1981 to 2014 on the rebased Gross Domestic Product (GDP) and sectoral Gross Value Added (GVA) at 2010 constant basic prices, employment, wage rate, inflation rate and interest rate were collected from the National Bureau of Statistics (NBS) and Central Bank of Nigeria (CBN). The variables were extracted from statutory publications of the institutions, collated and summarised into a table of data. The unit root test was carried out to test for stationarity of variables. The data was analysed using VECM at α 0.05. The result shows that wage rate, inflation rate, and interest rate all affected employment negatively across sectors. Gross Value added affected employment positively in the non-agricultural sectors, but negatively in the agricultural sectors. Inter-sectoral linkages and dependences also peculiarly affected job creation positively or negatively.

scholarly journals Job Absorption Capacity of Nigeria’s Mining and Quarrying Sector

2021 ◽  
Vol 10 (1) ◽  
pp. 51
Author(s):  
Adetunji Adeniyi
Keyword(s):  
Job Creation ◽  
Value Added ◽  
Secondary Data ◽  
Absorption Capacity ◽  
National Bureau ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Gross Value Added ◽  
Temporal Relationships

The mining and quarrying sector account for 10.6 per cent of the GDP and 0.2 per cent of employment in 2014, according to the records of the National Bureau of Statistics. Relative to the gross value added of the mining and quarrying sector, its contribution to aggregate employment is small. Meanwhile, unemployment is one of the most pressing macroeconomic problems in Nigeria today. It is against this background that the job absorption capacity of the sector was investigated to facilitate job creation policies in the sector. Time series secondary data covering 1981 to 2014 on the rebased Gross Domestic Product (GDP) and sectoral Gross Value Added (GVA) at 2010 constant basic prices, employment, wage rate, inflation rate and interest rate were collected from the National Bureau of Statistics and the Central Bank of Nigeria. Sectoral employment elasticities of growth were measured using Vector Error Correction Model (VECM) regression at α0.05. Mining and quarrying sectoral elasticity of employment was -0.05, but was not significant. However, there were significant inter-sectoral and inter-temporal relationships on which job creation policies may be based.

DETERMINAN INFLASI DI INDONESIA PERIODE 1980-2015

2016 ◽  
Vol 21 (1) ◽  
pp. 1-7
Author(s):  
Risna Risna
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Money Supply ◽  
Government Spending ◽  
Positive Impact ◽  
Secondary Data ◽  
Quantitative Approach ◽  
State Spending ◽  
Factors Affecting ◽  
The Interest Rate

This study aims to determine the effect of government spending, the money supply, the interest rate of Bank Indonesia against inflation.This study uses secondary data. Secondary data were obtained directly from the Central Bureau of Statistics and Bank Indonesia. It can be said that there are factors affecting inflationas government spending, money supply, and interest rates BI. The reseach uses a quantitative approach to methods of e-views in the data. The results of analysis of three variables show that state spending significantand positive impact on inflationin Indonesia, the money supply significantand negative to inflationin Indonesia, BI rate a significantand positive impact on inflation in Indonesia

A revisit of the unemployment rate, interest rate, GDP growth and Inflation of Pakistan: Whether Structural break or unit root?

2021 ◽  
Vol 3 (2) ◽  
pp. 80-92
Author(s):  
Sara Muhammadullah ◽  
Amena Urooj ◽  
Faridoon Khan
Keyword(s):  
Interest Rate ◽  
Unemployment Rate ◽  
Unit Root ◽  
Structural Breaks ◽  
Inflation Rate ◽  
Structural Break ◽  
Unit Root Test ◽  
Unit Root Tests ◽  
Gdp Growth ◽  
Macroeconomic Indicators

The study investigates the query of structural break or unit root considering four macroeconomic indicators; unemployment rate, interest rate, GDP growth, and inflation rate of Pakistan. The previous studies create ambiguity regarding the stationarity and non-stationarity of these variables. We employ Zivot & Andrews (1992) unit root test and Step Indicator Saturation (SIS) method for multiple break detection in mean. GDP growth and inflation rate are stationary at level whereas unit root tests fail to reject the null hypothesis of the unemployment rate and interest rate at level. However, Zivot and Andrew unit root test with a single endogenous break indicates that the unemployment rate and interest rate are stationary at level with a single endogenous break. On the other hand, the SIS method reveals that the series are stationary with multiple structural breaks. It is inferred that it is inappropriate to take the first difference of the unemployment rate and interest rate to attain stationarity. The results of this study confirmed that there exist multiple breaks in the macroeconomic variables considered in the context of Pakistan.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENYALURAN PENGARUH TINGKAT SUKU BUNGA, NISBAH BAGI HASIL DEPOSITOMUDHARABAH, DAN PERTUMBUHAN EKONOMI TERHADAPPERTUMBUHAN DEPOSITO MUDHARABAH DI BANK SYARIAH MANDIRI PERIODE 2006:01-2011:12

Media Ekonomi ◽  
2017 ◽  
Vol 20 (3) ◽  
pp. 73
Author(s):  
Iqra Aulia
Keyword(s):  
Interest Rate ◽  
Unit Root Test ◽  
Secondary Data ◽  
Dynamic Impact ◽  
Causality Test ◽  
Var Analysis ◽  
Disturbance Factor ◽  
Vector Auto Regression ◽  
The Interest Rate ◽  
Auto Regression

<p>Vector Auto Regression (VAR) is an analysis or statistic method which can be used to predict time series variable and to analyst dynamic impact of disturbance factor in the variable system. In addition, VAR analysis is very usefull to assess the interrelationship between economics variable. This research through the following test phases: unit root test, optimal lag test, granger causality test, and form a vector auto regression model (VAR). The data used in this research is interest rate (i), profit low sharing of mudharabah deposits (nBH), economic growth (gGDP, growth of mudharabah deposits volume (gVM) in the period 2006:01-2011:12. The effectiveness was measured by two indicators. This study used secondary data issued by Syariah Mandiri Bank &amp; Bank Indonesia. The result of the study shows that response velocity of variable in growth of mudharabah deposits volume (gVM) towards shock instrument of interest rate(i) until reach the final target about 4 months. Thus we can conclude that growth of mudharabah deosits volume through Interest Rate is not effective in Indonesia period of 2006:01-2011:12. Keyword: Vector Auto Regression (VAR), growth of mudharabah deposits volume (gVM), The Interest Rate.</p>

scholarly journals Does Monetary Policy Induce Economic Growth? An Empirical Evaluation of the Nigerian Economy

2019 ◽  
Vol 2 (4) ◽  
pp. 331
Author(s):  
Anthony Ilegbinosa Imoisi
Keyword(s):  
Economic Growth ◽  
Empirical Evaluation ◽  
Unit Root Test ◽  
Secondary Data ◽  
National Bureau ◽  
Monetary Policies ◽  
Vector Error Correction ◽  
Long Run ◽  
Short Run ◽  
The Government

Monetary and Fiscal policies are instruments which the government of any nation can employ to effectively achieve the desired growth of their respective economies. This study investigates the extent to which monetary policies can promote economic growth in Nigeria from 1980-2017. Secondary data were used from the Statistical Bulletin of the apex bank in Nigeria (CBN) and National Bureau of Statistics. Unit root test, Johansen co-integration and the vector error correction model (VECM) were employed in analyzing the data collected for this study. The result showed that approximately 62% of GDP is explained by variables in the model while 38% is accounted for and explained by other variables not included in the model but are captured by the error term. In addition, monetary policies did not have a significant impact on Nigeria’s economic growth in the short run, but significantly affected the country’s growth in the long run.

scholarly journals ANALISIS FAKTOR INTERNAL DAN EKSTERNAL BANK YANG MEMPENGARUHI PROFITABILITAS BANK UMUM DI INDONESIA

2017 ◽  
Vol 10 (1) ◽  
Author(s):  
Aris Fadjar ◽  
Hedwig Esti S ◽  
Tri Hartini EKP
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Inflation Rate ◽  
Secondary Data ◽  
External Factors ◽  
Capital Adequacy ◽  
Internal Factors ◽  
Operating Income ◽  
Capital Adequacy Ratio ◽  
The U.S

The purpose of this research is to analyze the influence of internal factors of banks consisting of Capital Adequacy Ratio (CAR), Non-Performing Loans (NPLs), Operating Expenses Operating Income (BOPO), Loan to Deposit Ratio (LDR), and external factors of banks consisting of the value exchange rate of rupiah against the U.S. dollar, interest rate (SBI 1 month), and the inflation rate to Return On Asset (ROA) of the general bank. It used the secondary data from Indonesia Economic and Financial Statistic (SEKI) which published by Bank Indonesia monthly. The samples took from ROA of general bank as series, CAR, NPLs, BOPO, LDR, inflation rate, exchange rate rupiah to US $, and SBI rate with period 2007-2010. The result shows, external factors of banks and CAR do not significantly influence to the ROA of general Bank, while internal factors are significantly influence to ROA general bank. As the simultaneous, the seven variables have positive significant influence to the ROA general bank it can be proofed with F value > F table (7.574 > 2.589). And all of the independence variables have had influenced for 52.9 percent to the ROA general bank.

scholarly journals The Impact of Interest Rate, Inflation Rate, Time to Maturity and Bond Rating: Indonesia Case

2019 ◽  
Vol 2 (1) ◽  
pp. 27-40
Author(s):  
Dwi Kusriyanto ◽  
Nelmida
Keyword(s):  
Interest Rate ◽  
Inflation Rate ◽  
Stock Exchange ◽  
Corporate Bonds ◽  
Secondary Data ◽  
Sampling Technique ◽  
Bond Rating ◽  
Maturity Period ◽  
Effect On Yield ◽  
The Impact

This study aims to analyze the impact of interest rate, inflation rate, time of maturity, and bond rating on yield to maturity corporate bonds listed on the Indonesia Stock Exchange. The type of data in this study is secondary data. The object of research is all corporate bonds of banking companies listed on the Indonesia Stock Exchange in 2015 - 2017. The sampling technique used is purposive sampling with a total of 70 bonds. This study used multiple regression analysis. Based on the results, shows that the Bank Indonesia interest rate, the maturity period has a positive effect on yield to maturity, while the bond rating does not affect yield to maturity. However, the inflation rate does not affect the yield to maturity. This result can be used by academics, investors and Regulators.

scholarly journals ANALISIS TRANSMISI KEBIJAKAN MONETER MELALUI JALUR PINJAMAN BANK DI INDONESIA

2017 ◽  
Vol 6 (2) ◽  
pp. 129
Author(s):  
Violetta Puteri Dhuayu ◽  
Sri Ulfa Sentosa ◽  
Selli Nelonda
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Inflation Rate ◽  
Secondary Data ◽  
Bank Loans ◽  
Least Square ◽  
Ordinary Least Square

This study aims to determine and analyze the influence of interest rate and bank-specific to bank loans growth and also analyze the causality between interest rate, bank loas growth and economic growth with inflation rate in Indonesia. The type of this research is descriptive and associative. This research used secondary data from 2006 Q1 to 2015 Q4 obtained from the related institution which is analyzed by using the Ordinary Least Square (OLS) method and Vector Autoregerssion (VAR). The results show that interest rate (BI Rate) affect bank loans growth in Indonesia while, bank liquidity and bank capitalization positively affect bank loans growth in Indonesia. It also show that there are causality between interest rate and bank loans growth with inflation rate in Indonesia.

scholarly journals Designing a Framework for Employment-Growth Targeting in Nigeria

2021 ◽  
Vol 7 (1) ◽  
pp. 40
Author(s):  
Adetunji Adeniyi
Keyword(s):  
Inflation Rate ◽  
Value Added ◽  
National Bureau ◽  
Policy Makers ◽  
Correction Model ◽  
Vector Error Correction ◽  
Economic Fundamentals ◽  
Vector Error ◽  
Growth Outcomes ◽  
Pipe Line

Unemployment in Nigeria has assumed disturbing proportions despite fifteen years of sustained economic growth outcomes between 2000 and 2014. This needs very urgent attention from policy makers since the problem has further resulted in other social vices like: armed robbery, kidnapping, political thuggery, pipe-line vandalisation, and social unrest.Unfortunately, policy makers have approached the deep-rooted problems with only tactical and superficial methods. There has been no serious attempt to target employment based on the economic fundamentals; and, the interdependencies and the interconnectedness of the various sectors and the working of the economy.Using Johansen co-integration, and applying Vector Error Correction Model (VECM) regression to time series sectoral economic data of Gross Value Added (GVA), employment, interest rate, wage rate, and inflation rate, collected from the National Bureau of Statistics (NBS) this study constructed a framework that policy makers can use to target growth and employment simultaneously.

scholarly journals Effect of Inflation On Growth of Manufacturing Sector in Kenya (2008-2017)

2021 ◽  
pp. 17-34
Author(s):  
Julius Wesonga Oduor ◽  
Consolata Ngala ◽  
Reuben Ruto ◽  
Umulkher Ali Abdillahi
Keyword(s):  
Central Bank ◽  
Interest Rates ◽  
Time Series Data ◽  
Manufacturing Sector ◽  
Value Added ◽  
Secondary Data ◽  
Series Data ◽  
National Bureau ◽  
Test Analysis ◽  
Cointegration Tests

Aim: This study sought to address the effect of inflation on the growth of the manufacturing sector in Kenya. Research design: The study used descriptive, correlational, and inferential research designs. The study used secondary data, specifically, from the World Bank, United Nations Conference on Trade and Development (UNCTAD), International Monetary Fund (IMF), Central Bank of Kenya (CBK), and Kenya National Bureau of Statistics (KNBS) for the period 2008-2017. Methodology: Time series data were analyzed quarterly using EViews software. The study employed descriptive statistics, correlation analysis, and regression analysis. Pre-test analysis entailed Augmented Dickey-Fuller (ADF) tests for unit root, Bai-Perron Multiple Breakpoint tests, and Bounds Cointegration tests. The post-test analysis included the Breusch-Godfrey tests for autocorrelation, the Breusch-Pagan-Godfrey tests for heteroscedasticity, Variance Inflation Factors (VIF) tests for multicollinearity, Jarque-Bera statistics tests for normality, and CUSUM tests for model stability. Results: The regression model estimates for inflation were (-0.19269, p<0.05). The results imply that holding other factors constant, a unit increase in inflation reduces manufacturing value-added by 0.19269 units. Conclusion: Inflation has a statistically and significant negative effect on the growth of the manufacturing sector in Kenya. To achieve manufacturing value-added growth, the study recommends that the Central Bank of Kenya (CBK) should have inflation targets and adopt appropriate monetary policies to monitor fluctuating inflation rates. Furthermore, the CBK should keep lending interest rates as low as possible so that manufacturers incur less on acquiring credit from commercial banks and ultimately produce goods at affordable prices.

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