scholarly journals The Impact of Macroeconomic Factors on Manufacturing Sector Value Added in Ethiopia: An Application of Bounds Testing Approach to Cointegration

Author(s):  
Dagim Tadesse Bekele ◽  
Meskerem Teka Haile

The role of the manufacturing sector for the economic growth and structural change is very low in Ethiopia and performing less compering with that of the other sectors in the economy. So, this research tried to look at how different macroeconomic variables affect the manufacturing sector value added by using annual time series data from 1982 to 2018 estimated by Autoregressive-Distributed Lag (ARDL). The result from the Bound test shows manufacturing sector value added has a long-run relationship with macroeconomic variables in the model. In the long-run, general inflation rate, exchange rate, and trade openness have a significant negative effect on the manufacturing sector value-added. In contrast, general government expenditure has a significant positive effect. Also, the Error Correction model shows an adjustment towards the long-run equilibrium of the manufacturing sector value-added. So, the government has to control the general inflation level, promote demand for domestic manufacturing products and competitiveness of domestic firms, and strengthen the backward link of the sector to decrease its import-input dependency to reduce the effect of exchange rate depressions. Lastly, effective and efficient government expenditure will have to be used to increase the manufacturing sector value-added.

Author(s):  
Eyas Jafar Abdel Rahim

The study aimed to examine the impact of macroeconomic variables of the Saudi economy as in Gross Domestic Product (GDP), Government Expenditure (G), Economic Openness (OPE), Inflation Rate (CPI) and the Bank Deposits (DS) on the credit provided by Saudi banks (BF), on annual time series data between 1970-2012. To investigate this relationship, the study used Autoregressive Distributed Lag method (ARDL) to measure the long-run and short-run impact, At that the E-views 8.1 has been used for analyze the cointegration,the diagnostic, the reliability - stability tests, and the forecasting behavior of the model. The study found that (BF) is affected positively by (GDP) growth rate in the long-run. Also the (BF) has been affected negatively in the short and long-run by inflation rates (CPI) and government expenditure (G). Consequently the Contractionary Fiscal Policy in recent period will not lead to reduce the financial performance of Saudi banks, and the growth of (GDP) in the future will have positive impact on the financing capacity of the Saudi banking sector.


2018 ◽  
Vol 10 (1-2) ◽  
pp. 63-79
Author(s):  
Anthony Orji ◽  
Jonathan E. Ogbuabor ◽  
Chiamaka Okeke ◽  
Onyinye I. Anthony-Orji

This study estimated the impact of exchange rate (EXCH) movements on the manufacturing sector in Nigeria over the period 1981–2016. Time series data and ordinary least square (OLS) estimation technique were employed in this study to address the specified objective. The variables analysed were EXCH, manufacturing GDP (MGDP), government capital expenditure, foreign direct investment (FDI), credit to private sector and value of imports. From the result, it is apparent that EXCH movements play a significant role in the manufacturing sector’s performance in Nigeria. Specifically, the findings showed that EXCH, government capital expenditure (GCEXP), imports and FDI were positively related to MGDP, while credit to private sector was negatively related. Among others, the study recommends that the apex bank keep a closer watch on EXCH developments in order to keep formulating up-to-date policies that will ultimately enhance EXCH stability. This will largely contribute to the development of the manufacturing sector in the short and long run. JEL Classification: D51, F31, Q24


2017 ◽  
Vol 5 (4) ◽  
pp. 27
Author(s):  
Huda Arshad ◽  
Ruhaini Muda ◽  
Ismah Osman

This study analyses the impact of exchange rate and oil prices on the yield of sovereign bond and sukuk for Malaysian capital market. This study aims to ascertain the effect of weakening Malaysian Ringgit and declining of crude oil price on the fixed income investors in the emerging capital market. This study utilises daily time series data of Malaysian exchange rate, oil price and the yield of Malaysian sovereign bond and sukuk from year 2006 until 2015. The findings show that the weakening of exchange rate and oil prices contribute different impacts in the short and long run. In the short run, the exchange rate and oil prices does not have a direct relation with the yield of sovereign bond and sukuk. However, in the long run, the result reveals that there is a significant relationship between exchange rate and oil prices on the yield of sovereign bond and sukuk. It is evident that only a unidirectional causality relation is present between exchange rate and oil price towards selected yield of Malaysian sovereign bond and sukuk. This study provides numerical and empirical insights on issues relating to capital market that supports public authorities and private institutions on their decision and policymaking process.


2020 ◽  
Vol 8 ◽  
pp. 288-301
Author(s):  
Ojo Johnson Adelakun ◽  
Babatunde Afolabi ◽  
Uwasejike B Abuh

The study assessed the relationship between Macroeconomic Variables and Development in the Nigerian Banking Sector using annual time series data. Models were specified using Ratio of Credits to Private Sector to Gross Domestic Product (GDP) as a proxy for Banking Sector Development. At the same time, GDP growth rate, Poverty, Exchange Rate, Oil Price, Poverty, Money Supply, Inflation, and Interest rates were the selected Macroeconomic Variables used in the study. Data used were sourced from the Statistical Bulletin of Central Bank of Nigeria (CBN) for various editions and estimated using ARDL Bound Test and Vector Error Correction Mechanism (VECM). The study found that there exists a long-run relationship between Macroeconomic Variables selected and Banking Sector Development. The VECM coefficients revealed that all variables except Interest Rates have negative effects on Banking Sector Development. The VECM (-1), which showed the speed of adjustment, was rightly signed and significant, indicating a long-run causality relationship running from macroeconomic variables to banking sector development. The Impulse response from restricted VAR revealed that Banking Sector responded to the Macroeconomic Variables of which GDPGR and INT were transmitting negatively to Banking Sector Development while others were transmitting positive impulses. However, the variance decomposition found that oil price, followed by GDPGR and poverty, caused more variation in Banking Sector Development. In contrast, inflation and money supply caused the least variation in Banking Sector Development. The study, therefore, concluded that selected Macroeconomic Variables have a significant long-run relationship with Banking Sector Development. It is therefore recommended, among others that, Macroeconomic indicators should be well monitored and controlled using macroeconomic instruments promptly since when they are well managed would lead to a better developed Banking Sector in Nigeria.


2017 ◽  
Vol 9 (2) ◽  
pp. 82-97 ◽  
Author(s):  
Samir Ul Hassan ◽  
Biswambhara Mishra

This study is an attempt to investigate the impact of infrastructure level on government spending in short and long run and also to find the tendency of infrastructure level to stabilise any disequilibrium in government spending in long run. Infrastructure is related to the quality and quantity of goods and services provided by government to the population, to fulfil their diverse demands. The state of Jammu and Kashmir (J&K) is not an exception; the increasing trend in different aspects of population and rising needs and aspirations of the growing population forces the government to increase expenditure on that count, which results in increase in aggregate government spending. Using multivariate cointegration technique followed by vector error correction model (VECM) model on annual time-series data for the period from 1984 to 2013 with broader data set of infrastructure dimension, the study found that the infrastructure variables cause major variation in government expenditure in short as well as in long run. Study shows that infrastructure related to health, education, roads and portable water produce positive and significant impact on the growth of government spending and infrastructure related to these dimensions has significant tendency to stabilise any disequilibrium in government spending in long run. JEL Classification: H3, H5, H53, I


Author(s):  
Nnamani, Vincent ◽  
Anyanwaokoro, Mike

The study investigated the implication of monetary policy rate on the exchange rate and interest rate in Nigeria, 1981-2017. Because of the above-stated problems, the specific objectives are to: Investigate the effect of monetary policy rate on the exchange rate in Nigeria, determine the effect of the monetary policy rate on interest rate in Nigeria. The analysis of error correction and autoregressive lags fully covers both long-run and short-run relationships of the variable under study. The statistical tool of analysis employed in the study is Autoregressive Distributed Lags (ARDL) and Philips Peron method of stationary testing and structural breakpoint unit root test., these methods were employed to check the stationarity and breakpoint analysis of the time series data employed in this study. The study observed that monetary policy rate has a positive and significant effect on the exchange rate in Nigeria. It was also observed that the monetary policy rate has a positive and significant effect on the interest rate in Nigeria. Overall, our results indicated that the impact of monetary policy on the exchange rate was significant. There was a positive and significant relationship between monetary policy variables and exchange rate. The conclusion that is drawn from our results is that monetary policy remains an effective and potent tool for ensuring a stable exchange rate in Nigeria. The study recommended that monetary policy should be used to create a favourable investment environment by facilitating the emergence of market-based interest rate and exchange rate regimes which could attract domestic and foreign investments. Second; the Central bank of Nigeria (CBN) need to avoid ordination and balance between monetary and fiscal policies to ensure the smooth realization of monetary policy goals. Policy inconsistency or summersault to determine its policy impact before contemplating a change. Finally, there should be a coo.


2017 ◽  
Vol 6 (1) ◽  
pp. 142
Author(s):  
Filiz Giray ◽  
Mehmet Çınar

Social security contributions are important public incomes after taxes in OECD countries. Beside, social security contributions as a mean of the finance of social security system is a determiner on the main macroeconomic factors such as savings, employment, the cost of employment, the level of shadow economy, economic growth, competitiveness and income inequality. Employment has been important policy goals in Turkey like many OECD countries during recent decades. High unemployment rate is a serious problem for countries. Effecting negatively labor market, high burden of social security contributions causes low level of employment. The aim of this study is to find the relationship between social security contributions and unemployment for Turkey. Therefore, we can evaluate whether reducing social security contributions is a way reducing of unemployment or not. We use time series data during period 1965-2015. The research methodology is based on an analysis of indicators as unemployment rate, social security contributions as percentage of GDPs, the percentage of total tax revenues. Unit root test is non-stationary for social security contributions. On the other hand, unemployment is stationary for related period. The long run relationship between variables was tested by ARDL bound test approach. Based on the sample results, there is a long run cointegration between social security contributions and unemployment rate (both as percentage of GDP and percentage of taxation).


2020 ◽  
Vol 6 (1) ◽  
pp. 123-135 ◽  
Author(s):  
Enock Mwakalila

This study empirically analyzes the impact of government expenditure and domestic borrowing on credit to the private sector in Tanzania by increasing lending rates. Quarterly time series data are collected from 2004 to 2018. Autoregressive distributed lag (ARDL) model estimation with a bound cointegration test is used to establish the short- and long-run relationships, and the results are subjected to diagnostic tests for robustness. The result shows that government expenditure and domestic borrowing crowd out credit to the private sector by increasing the lending rate in the long run. This calls for the Tanzanian government to reduce some of its deficit spending and domestic borrowing, and instead look for another way to increase the tax revenue using loans from external sources to fund its budget deficit. Also, the study recommends that the government should put more effort on improving private sector development by making the country an easy place to do business, which in turn will increase the tax base through corporate tax and income tax from business employees.


Author(s):  
Nur Haiza Nordin ◽  
Normaz Wana Ismail ◽  
Nur Naddia Nordin

The motivation of the study is to analyze the impact of young and ageing population on education expenditure in China and India as demographic projection forecast that the percentage of population in India are increasing overtime. The used of long time series data of China and India from 1970 to 2011 helps us to identify the long-run relationship between young and ageing population and education expenditure. The result of the bound test showed that there is a stable long-run relationship between young population and education expenditure, while ageing population is negative relationship with education expenditure. In fact, short-term and long-term result revealed that the young population influences education expenditure in China and India.


2021 ◽  
pp. 097493062110584
Author(s):  
Ademola E. Ojo ◽  
Ditimi Amassoma

The Earth as a planet supports human life, living and activities, attracting extensive and intensive socioeconomic influences on the economy. Such activities like infrastructures development exerts increasing and divers environmental quality concerns and hence the economic growth. While these variables appear interrelated due to many factors including population growth, urbanisation, etc. However, the relationship between infrastructures, environment and economic growth is not largely known especially in Nigeria. This study therefore investigated their relationship using time series data between 1990 and 2019 by adopting Co-integration estimation technique through the Bound test approach of auto regressive distributive lag method using percentage share of building and construction sector of gross domestic product (GDP), carbon dioxide, population growth GDP growth rate, etc. as variables. The study revealed that the infrastructures development and environmental quality explain economic growth and have both short and long run relationships while specifically population growth and agriculture, forestry, fishing, value added variables are positively significant to economic growth. The findings evidences of both short and long run relationships among the variables are significant and it is consequently recommended that new roles for infrastructure sets and production processes should consider environmental quality mindsets to achieve positive green economy outcomes in Nigeria. JEL Classification: O18, O44, Q5


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