scholarly journals Has Financial Liberalisation Promoted Economic Growth in Nigeria? Evidence from Auto-Regressive Distributed Lag (ARDL) Approach

2018 ◽  
Vol 8 (2) ◽  
pp. 172-188 ◽  
Author(s):  
Aniekan Okon Akpansung ◽  
Shall Erinus Waziri
2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Philip Ifeakachukwu Nwosa ◽  
Fasina Oluwadamilola Tosin ◽  
Ogbuagu Matthew Ikechukwu

The issue of export diversification has been contentious in Nigeria due to the country’s unstable growth pattern which is majorly associated with instability in the international oil market and the poor performance of other sectors of the economy. Therefore, this study examines the link between export diversification and economic growth in Nigeria from 1962 to 2016. The study utilizes the Auto-regressive Distributed Lag (ARDL) technique. The result of this study shows that export diversification has a positive but insignificant influence on economic growth in Nigeria. The above result implies that the oil sector still dominates the Nigerian economy while the diversification drive of the government has not been significant in other sectors of the economy. Thus, the study recommends the need for conscious economic policies that would promote the diversification of the entire non-oil sector of the economy. The study concludes that export diversification is an insignificant determinant of economic growth in Nigeria.


2015 ◽  
Vol 2 (1) ◽  
pp. 1-4
Author(s):  
Nadia Bukhari ◽  
Anjum Iqbal

This study considers the long run relationship between the liberalization of trade, capital formation and the economic growth of Pakistan by using the time series data from 1975-2013. The main aim of this study is to examine that how much liberalization of trade and capital formation affects the economic growth of Pakistan in long run. The approach that has been used for empirical analysis is Auto Regressive Distributed Lag (ARDL) model. Under the ADF test capital formation (CF) is stationary at its first level but the trade openness (TO) and GDP is stationary at its first difference. Moreover, the granger casualty test is evident that there become a casual relationship between the trade openness and GDP. The result of this study shows that both the trade openness and the capital formation determined the economic growth in long run and they both have statistically significant effect on the GDP. Furthermore it has has been depicted from the study that the trade has a vital role to influence the economic growth.


2021 ◽  
Author(s):  
Rafia Afroz ◽  
Md Muhibbullah

Abstract The purpose of this paper is to investigate the links between renewable energy (RE), non-renewable energy (NRE), capital, labour and economic growth, using the Non-linear Auto Regressive Distributive Lag (NARDL) model in Malaysia for the period of 1980–2018. The results of NARDL confirm the asymmetric effect of RE and NRE consumption on the economic growth in the long run as well as short run in Malaysia. The findings also show that in the long and short-run, positive shocks of NRE are greater than the positive shocks of RE. It indicates that Malaysia's economic growth is highly dependent on NRE which is not a good indication as NRE consumption increases carbon dioxide (CO2) emission in the country. Moreover, the empirical results of this study demonstrated that RE consumption reduction accelerates economic growth whereas NRE consumption reduction decreases economic growth. It can have claimed that in Malaysia RE is still more expensive than NRE. In conclusion, this study offered a variety of measures to develop RE to reduce the dependency on NRE consumption.


2019 ◽  
Vol 2 (1) ◽  
pp. 15
Author(s):  
Ahmadi Murjani

 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. 


2020 ◽  
Vol 9 (2) ◽  
pp. 207-218
Author(s):  
Prihartini Budi Astuti ◽  
Nur Khasanah

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.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Hala Hjazeen ◽  
Mehdi Seraj ◽  
Huseyin Ozdeser

AbstractThe main objective of this study is to investigate the impact of unemployment on Jordan's economy over the period 1991–2019. This study used the auto-regressive distributed lag (ARDL) model to investigate the relationship between the unemployment rate and the other variables. Also, we employ the ARDL bootstrap cointegration approach to examine the correlation and long-run relationship among the variables. The empirical finding indicated a long-run relationship between the unemployment rate, economic growth, education, female population, and urban population in Jordan. Our finding shows the negative linkage between economic growth and unemployment, and a positive relationship among the education, female population, and urban population and unemployment in Jordan.


2019 ◽  
Vol 8 (1) ◽  
pp. 8
Author(s):  
Isfihani Isfihani ◽  
Devi Andriyani

This study aims to determine the effect of inflation and export of palm oil on the economic growth in Indonesia in the short and long term. The data used is the time series data from 1988 to 2016. The data analysis method used is the Auto Regressive Distributed Lagged (ARDL) approach and the analysis tool with the help of Eviews 9. The results of the study show that all stationary variables at the level of first difference and have long-term cointegration. Partially, in the short term analysis shows that inflation has a negative and significant effect on the economic growth, and exports of palm oil have a positive and insignificant effect on the value of economic growth in Indonesia. In the long-term analysis of inflation and export of palm oil has a negative and significant effect on the economic growth in Indonesia. The results of the stability model test show that the model used is stable. The result of the determination coefficient R 2 is 87.40 percent


2020 ◽  
Vol 1 (1) ◽  
pp. 41-52
Author(s):  
Raima Nazar ◽  
Aisha Ambreen ◽  
Sumbal Sabtain

Pakistan is one of the developing countries instead of possessing large amount of natural resources like mines, reserves of coal, adequate amount of minerals and oil, But, Pakistan is still deprived of basic necessities of life and suffering from extreme inflation in the country. Therefore, this study is an attempt to synopsis the impact of inflation on GDP of Pakistan. This study mainly focus on the inflation rate from the period 1980 to 2016, time series annual data has been employed in the study. The Auto Regressive Distributed Lag Model technique is applied in the study in order to estimate and analyze the data. The study concludes that inflation indicates negative impact on the GDP of Pakistan and it can only be minimized if all resources of the country are properly allocated and fully utilized.


Author(s):  
Ramzi Fahrani ◽  
Azza Béjaoui

In this chapter, the authors attempt to investigate the interaction between remittances and financial development and its impact on the economic growth over the period 1980-2016. In this respect, they apply the autoregressive distributed lag bound test (ARDL) approach on cross-country of data series from 1980 to 2016 to study the short- and long-run relationship of remittances and financial development with economic growth. The empirical results show that the direct effects of shipments on growth are significant. On the other hand, the impact of remittances on economic seems to be more significant by means of the financial development. It also shows that these shipments are more efficient in the case of a less developed informal sector, a politically stable economy, and a developed financial structure.


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