scholarly journals Determinants of Insurance Penetration in West African Countries: A Panel Auto Regressive Distributed Lag Approach

2021 ◽  
Vol 14 (8) ◽  
pp. 350
Author(s):  
Odunayo Olarewaju ◽  
Thabiso Msomi
Keyword(s):  
Banking Sector ◽  
West African ◽  
Education Sector ◽  
African Countries ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
Insurance Penetration ◽  
The Government

This study analyses the long- and short-term dynamics of the determinants of insurance penetration for the period 1999Q1 to 2019Q4 in 15 West African countries. The panel auto regressive distributed lag model was used on the quarterly data gathered. A cointegrating and short-run momentous connection was discovered between insurance penetration along with the independent variables, which were education, productivity, dependency, inflation and income. The error correction term’s significance and negative sign demonstrate that all variables are heading towards long-run equilibrium at a moderate speed of 56.4%. This further affirms that education, productivity, dependency, inflation and income determine insurance penetration in West Africa in the long run. In addition, the short-run causality revealed that all the pairs of regressors could jointly cause insurance penetration. The findings of this study recommend that the economy-wide policies by the government and the regulators of insurance markets in these economies should be informed by these significant factors. The restructuring of the education sector to ensure finance-related modules cut across every faculty in the higher education sector is also recommended. Furthermore, Bancassurance is also recommended to boost the easy penetration of the insurance sector using the relationship with the banking sector as a pathway.

scholarly journals Effects of Exchange Rate Volatility On Non-Traditional Exports In Ghana

2017 ◽  
Vol 7 (2017) ◽  
pp. 80-103
Author(s):  
Camara Kwasi Obeng
Keyword(s):  
Exchange Rate ◽  
Exchange Rate Volatility ◽  
Real Effective Exchange Rate ◽  
Distributed Lag ◽  
Long Run ◽  
Effective Exchange ◽  
Short Run ◽  
Auto Regressive ◽  
The Government ◽  
Effective Exchange Rate

The government of Ghana has implemented a number of policies to strengthen the production and export of non-traditional products as a way of diversifying exports in Ghana with very little success. Foremost among these policies is the liberalization of exchange rate. Meanwhile, the exchange rate has been very volatile. The study, therefore, examines the effects of exchange rate volatility on non-traditional exports in Ghana.This study employed Auto-regressive Distributed Lag (ARDL) co-integration estimation technique for the investigation. The results indicate that exchange rate volatility negatively impacts Ghana’s non-traditional exports. Also, the effect is greater in the long- run than it is in the short-run. Other results also show that world income, growth rate of the economy and Treasury bill rate promote non-traditional exports, but real effective exchange rate does not. The value of the paper lies in the discussion of the short-run and long-run effects of exchange rate volatility on non-traditional exports in the Ghanaian context.

Loss of Employment, Lockdown Measures and Government Responses in Malaysia during the Covid-19 Pandemic: A Note

2021 ◽  
Vol 22 (3) ◽  
pp. 1525-1549
Author(s):  
Muzafar Shah Habibullah ◽  
Mohd Yusof Saari ◽  
Sugiharso Safuan ◽  
Badariah Haji Din ◽  
Anuar Shah Bali Mahomed
Keyword(s):  
Job Loss ◽  
Positive Association ◽  
Distributed Lag ◽  
Long Run ◽  
Ardl Approach ◽  
Short Run ◽  
Auto Regressive ◽  
The Government ◽  
The Relationship ◽  
Stimulus Package

In this paper, we use daily administrative data from January 25, 2020 to December 31, 2020 to examine the relationship between job losses and the Malaysian lockdown measures. The Auto Regressive Distributed Lag (ARDL) approach is used to estimate both the long-run and short-run models. The results of the Bounds F-test for cointegration reveal that there is a long-run link between job losses and the Malaysian government lockdown measures (both linear and non-linear). The positive association between job loss and lockdown measures shows that as the lockdown gets tighter, more people will lose their jobs. However, as time passes, especially in conjunction with the government stimulus package programmes, job losses decrease.

scholarly journals The Effect of Foreign Direct Investment on Industrial Sector Growth: Evidence from Sri Lanka

2018 ◽  
Vol 4 (2) ◽  
pp. 88 ◽  
Author(s):  
NPG Samantha ◽  
Haiyun Liu
Keyword(s):  
Sri Lanka ◽  
Value Added ◽  
Industrial Sector ◽  
Advanced Technology ◽  
Sri Lankan ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
The Government

The development of the industrial sector stimulates economic growth and development by reducing poverty and regional disparity, increasing export income, generating quality employment, as well as developing technological capabilities and productive capacities. It has been more than four decades since removing trade-related barriers, and tax incentives liberalized the Sri Lankan economy offered to foreign investors to attract FDI and promote the industrial sector. Hence, the objective of this study is to investigate the relationship between inward FDI and industrial sector performance of Sri Lanka at the aggregate level for the period 1980-2016. We use the Auto Regressive Distributed Lag (ARDL) model to identify the long-run relationship and short-run dynamics of the selected variables. ARDL bounds test verifies the existence of co-integration among the selected variables. The study fails to find a significant relationship between FDI and industrial sector growth of Sri Lanka in the long run as well as in the short run. The attraction of vertically integrated FDI that consists with advanced technology and value-added production is one of the solutions for overcoming the issue of low technology and knowledge of Sri Lankan industrial sector. Sri Lankan FDI strategy associated with industrial sector should consider the pull and push factors related to recipient and source country respectively. To promote the industrial sector via FDI, the government policy should focus on attracting more FDI that could be channeled into those sectors that would contribute to national competitiveness.

LPG consumption and economic growth, 1975-2016: evidence from Cameroon

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jean Gaston Tamba
Keyword(s):  
Economic Growth ◽  
Causal Relationship ◽  
Liquefied Petroleum Gas ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Gas Consumption ◽  
The Government ◽  
Energy Efficiency Policies

Purpose This paper aims to examine the causal relationship between liquefied petroleum gas consumption and economic growth in Cameroon over the period from 1975 to 2016. Design/methodology/approach The methodology of this study is based on the unit root, cointegration and causality tests. Cointegration is performed with both Johansen and autoregressive distributed lag bounds approach, while causality is done with the Granger test based on the error correction model (ECM) and Toda-Yamamoto procedure. Findings The cointegration methods confirm the existence of a level relationship, whereas the causal tests of the ECM reveal the existence of a short-run unidirectional causal relationship ranging from liquefied petroleum gas (LPG) consumption to economic growth and a bidirectional causal relationship between long-term and high-causality variables. With the Toda-Yamamoto procedure, unidirectional causality is found to run from economic growth to liquefied petroleum gas consumption. Research limitations/implications These findings imply that an increase in liquefied petroleum gas consumption leads to an increase in economic growth. As a result, supporting energy efficiency policies that aim to reduce liquefied petroleum gas consumption is not an option for Cameroon. Given that LPG consumption shares are still low in Cameroon, the government ought, thus, to increase LPG subsidization, vulgarize and favor policies aimed at encouraging LPG consumption to increase LPG deposits nationwide. This would help increase LPG consumption and consequently could increase economic growth in Cameroon. Originality/value LPG is a fossil fuel and is the less GHG emitter and it is considered as a modern source of energy for cooking in Cameroon households. It scarcity calls on energy policymakers to question the influence LPG consumption could have on economic growth in the short- and long-run. Thus, this paper could contribute to solving the issue of deforestation in Cameroon, especially in the Sahel zone; through the substitution of firewood consumption by LPG consumption in households.

SHORT-RUN AND LONG-RUN IMPACT OF INFLATION, UNEMPLOYMENT, AND ECONOMIC GROWTH TOWARDS POVERTY IN INDONESIA: ARDL APPROACH

2019 ◽  
Vol 2 (1) ◽  
pp. 15
Author(s):  
Ahmadi Murjani
Keyword(s):  
Economic Growth ◽  
Poverty Alleviation ◽  
Macroeconomic Variables ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Ardl Approach ◽  
Short Run ◽  
The Government ◽  
The Impact

 Poverty alleviation has become a vigorous program in the world in recent decades. In line with the efforts applied by the government in various countries to reduce poverty, some evaluations have been practised. The impacts of macroeconomic variables such as inflation, unemployment, and economic growth have been commonly employed to be assessed for their impact on the poverty. Previous studies in Indonesia yielded mix results regarding the impact of such macroeconomic variables on the poverty. Different methods and time reference issue were the suspected causes. This paper aims to overcome such problem by utilising the Autoregressive Distributed Lag (ARDL) equipped with the latest time of observations. This paper finds in the long-run, inflation, unemployment, and economic growth significantly influence the poverty. In the short-run, only inflation and economic growth are noted affecting poverty significantly. 

scholarly journals Public Debt and Economic Growth in Niger: An Autoregressive Distributed Lag Approach

2020 ◽  
Vol 1 (2) ◽  
pp. 56-65
Author(s):  
Issoufou Oumarou
Keyword(s):  
Economic Growth ◽  
Public Debt ◽  
Unit Root Test ◽  
Annual Data ◽  
African Countries ◽  
Policy Makers ◽  
Significance Level ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

Purpose: The aim of the paper is to examine the existence or not of a long run or a short run relationship between public debt and economic in Niger and investigate the significance of this relationship. Approach/Methodology/Design: The study first applied time series econometrics tests such as Augmented Dickey-Fuller (ADF) unit root test, Bound cointegration test and Auto Regressive Distributed Lag (ARDL) on annual data obtained from the International monetary fund (IMF) and the West African States Central Bank (BCEAO). The observations cover the period from 1970 to 2019. The study then performed some residual tests including serial correlation, normality and heteroskedasticity for the accuracy of the prediction of the model. Findings: The empirical results showed no long run relationship between public debt and economic growth in Niger. The short run analysis revealed that public debt and budget balance have short run causal effects on economic growth in Niger. The coefficients are significant at 10% significance level. Practical Implications: This article gives valuable information to Niger policy makers regarding the effects of public debt on Niger economic growth. The article highlights the effects that public debt has on economic growth in Niger in the short and long run. Therefore helping policy makers decide whether to increase or reduce the borrowing trend. Originality/value: The results of the paper give valuable information on the relationship that public debt may have with economic growth in Sub Saharan African countries with the similar macroeconomic indicators with Niger.

scholarly journals Effects of Remittances on Financial Development: A Time Series Analysis for Pakistan

2019 ◽  
Vol IV (IV) ◽  
pp. 381-387
Author(s):  
Muhammad Awais ◽  
Nazima Ellahi ◽  
Ahmed Sher
Keyword(s):  
Financial Sector ◽  
Data Set ◽  
External Finance ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
Annual Frequency ◽  
Econometric Methodology ◽  
Migrant Remittances

International migrant remittances are possibly the largest source of external finance in developing countries and this inflow have has considerable importance in the development of the financial sector. The present study aimed to analyze the link between workers remittances and development of the financial sector in the context of Pakistan. To carry out this empirical analysis, the study utilized a data set of annual frequency ranging from 1980 to 2015 (post-liberalization period). The econometric methodology of Auto-Regressive Distributed Lag (ARDL) has been used to get the short-run and long-run elasticities of the model. Overall findings suggested that there is a strong positive link between the inflow of remittances and the development of the financial sector in the context of Pakistan.

scholarly journals Determinants of Agricultural Productivity: Empirical Evidence from Pakistan’s Economy

2016 ◽  
Vol I (I) ◽  
pp. 1-12
Author(s):  
Mehmood Kakar ◽  
Adiqa Kiani ◽  
Asia Baig
Keyword(s):  
Correction Term ◽  
Agricultural Productivity ◽  
Agriculture Sector ◽  
Distributed Lag ◽  
Productivity Convergence ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
Total Productivity ◽  
Positive Effect

This article examines the determinants of the total productivity of the agriculture sector which enhances the total agricultural productivity in Pakistan and analyzes the relations among variables used for the analysis from 1990 - 2017. The application of the auto regressive distributed lag technique ARDL was used to approximate various determinants. The area under cultivation, fertilizer consumption, agriculture credit, and rainfall show a positive effect on agriculture productivity, whereas agriculture employment and pesticide consumption show a positive but statistically insignificant effect on agricultural productivity in the long run. While in the short-run all determinants have a positive and significant effect on total agriculture productivity convergence towards equilibrium is shown by error correction term is 0.829.

scholarly journals Determinants of Indonesia’s National Income: An Auto-Regressive Distributed Lag Analysis

2020 ◽  
Vol 9 (2) ◽  
pp. 207-218
Author(s):  
Prihartini Budi Astuti ◽  
Nur Khasanah
Keyword(s):  
Economic Growth ◽  
Aggregate Demand ◽  
Government Expenditure ◽  
National Income ◽  
The United States ◽  
Jel Classification ◽  
Distributed Lag ◽  
Long Run ◽  
Auto Regressive ◽  
The Government

At the end of 2019, most countries experienced an economic slowdown due to a trade war between the United States and China. According to macroeconomic theory, aggregate demand is one of the factors that influence economic growth. This study aims to add the debate and fill the gap by studying the relationship between aggregate demand and economic growth in the case of Indonesia. Using an Auto-Regressive Distributed Lag analysis, the results indicate that in the long-run, household consumption and investment had a positive effect on Indonesia's national income in 2010-2019. It means that the government must continue to make policies to maintain the purchasing power of Indonesian consumers, so that public consumption remains high, and maintaining the investment climate to be more conducive. On the other hand, government expenditure and net exports variables have no impact on Indonesia's national income in 2010-2019.JEL Classification: E01, E12, O47How to Cite:Astuti, P. B., & Khasanah, N. (2020). Determinants of Indonesia’s National Income: An Auto-Regressive Distributed Lag Analysis. Signifikan: Jurnal Ilmu Ekonomi, 9(2), 207-218. https://doi.org/10.15408/sjie.v9i2.14469.

scholarly journals An empirical nexus between poverty and unemployment on economic growth

2021 ◽  
Vol 9 (1) ◽  
pp. 85-94
Author(s):  
KEJI Sunday Anderu
Keyword(s):  
Economic Growth ◽  
Agricultural Sector ◽  
Poverty Rate ◽  
Least Square ◽  
Small Scale ◽  
Distributed Lag ◽  
Long Run ◽  
Lm Test ◽  
Short Run ◽  
The Government

The study examines the empirical nexus between poverty and unemployment on economic growth in Nigeria between 1980 and 2016. Auto-Regressive Distributed Lag (ARDL), Bound cointegration testing, and Error Correction Methods (ECM) were used to investigate the link between unemployment, poverty rate, and economic growth in Nigeria. Post estimation tests such as the Jarque-Bera test, Breusch-Pagan, ARCH test, and Ramsey reset test were also adopted in order to validate the research finding. The diagnostic tests further disclosed that the estimated model follows the Ordinary Least Square technique assumptions to attain efficiency and consistency of the model employed. The Jarque-Bera test suggests that residuals for both models are normally distributed, and the Breusch-Godfrey Serial Correlation (LM) test indicates that the hypothesis of no autocorrelation cannot be rejected. Interestingly, the ARDL and ECM results show that unemployment and poverty significantly impact economic growth both in the short and long run. Hence, the study recommended that the Nigeria government should ensure that adequate measures are put in place: Such as investment in education, agricultural sector reform, expansionary fiscal policy, intervention in micro-lending for small scale businesses by the government should be implemented to reduce the level of unemployment and poverty rate both in the short run and long run.

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