Electricity Consumption–Economic Growth Nexus: Evidence from ARDL Bound Testing Approach in the Tunisian Context

2020 ◽  
pp. 097215092092543 ◽  
Author(s):  
Zouheir Mighri ◽  
Hanen Ragoubi

This article investigates the causal nexus between electricity consumption and economic growth in Tunisia for the period 1971–2013 by using autoregressive distributed lag (ARDL) bounds testing approach of cointegration and Granger causality tests. The empirical findings indicate the existence of a long-term relationship between electricity consumption and economic growth. Besides, they support the conservation hypothesis in the long run, while they confirm the growth hypothesis in the short run.

2016 ◽  
Vol 12 (1) ◽  
pp. 429
Author(s):  
Al-Abdulrazag A. Bashier

The objective of this paper is to investigate the short-run and longrun causal relationships between electricity consumption and economic growth in Jordan between 1976 and 2013, utilizing the Autoregressive Distributed Lag (ARDL) model. Estimates revealed the existence of a longrun equilibrium relationship between the said variables. The VECM model results indicated a long-run, bidirectional causality between the two variables as seen from the negative and significant error correction terms. The results of Granger-Causality test within VECM disclosed a bidirectional weak and strong short-run causality between electricity consumptions per capita and economic growth. The estimation results provide a strong support for the feedback hypothesis in Jordan


2020 ◽  
Vol 65 (1) ◽  
pp. 1-19
Author(s):  
Talknice Saungweme ◽  
Nicholas M. Odhiambo

AbstractThis paper explores the causality between public debt, public debt service and economic growth in South Africa covering the period 1970 – 2017. The study employs the autoregressive distributed lag (ARDL) bounds testing approach to cointegration and the multivariate Granger-causality test. The empirical results indicate that there is unidirectional causality from economic growth to public debt, but only in the short run. However, the study fails to establish any causality between public debt service and economic growth, both in the short run and long run. In line with the empirical evidence, the study concludes that it is economic growth that drives public debt in South Africa, and that the causal relationship between public debt and economic growth is sensitive to the timeframe considered. The paper recommends policymakers in South Africa to consider growth-enhancing policies in the short run, since poor economic performances may lead to high public debt levels.


2018 ◽  
Vol 68 (2) ◽  
pp. 209-229 ◽  
Author(s):  
Marta Gómez-Puig ◽  
Simón Sosvilla-Rivero

This paper empirically investigates the short and the long run impact of public debt on economic growth. We use annual data from both the central and the peripheral countries of the euro area (EA) for the 1961–2013 period and estimate a production function augmented with a debt stock term by applying the Autoregressive Distributed Lag (ARDL) bounds testing approach. Our results suggest different patterns across the EA countries and tend to support the view that public debt always has a negative impact on the long-run performance of EA member states, whilst its short-run effect may be positive depending on the country.


2020 ◽  
Vol 14 (1) ◽  
pp. 1-19 ◽  
Author(s):  
Themba G. Chirwa ◽  
Nicholas M. Odhiambo

Purpose This paper aims to examine the short- and long-run relationship between electricity consumption and economic growth. Design/methodology/approach The study uses a panel-based autoregressive distributed lag approach to cointegration to investigate this relationship in 12 advanced, emerging markets and developing economies during the period 1970-2016, selected from three continents, namely, Europe (Luxemborg, Norway, Denmark and Belgium), Asia (Singapore, Japan, Indonesia and India) and Africa (South Africa, Algeria, Egypt and Kenya). Findings Based on the homogeneity assumption, the study results reveal that electricity consumption is positively and significantly associated with economic growth in all the study countries in the long run. Conversely, the short-run results reveal that electricity consumption is positively and significantly associated with economic growth in ten countries and negatively associated with economic growth in only two countries. Research limitations/implications The study concludes that, on the whole, electricity consumption is an important factor of production in the majority of the study countries. Therefore, policymakers should focus on growth-enhancing energy policies that promote energy efficiency usage, especially in the long run. Originality/value The authors hereby confirm that the paper has not been published elsewhere, and this research is entirely their work.


2021 ◽  
Vol 9 (1) ◽  
pp. 50-70
Author(s):  
Adedayo Emmanuel Longe ◽  
Taiwo Matthew Adekoya ◽  
Caleb Olugbenga Soyemi ◽  
David Adeiza Agbanuji ◽  
Idowu Jacob Adekomi

Abstract The study examines the asymmetric impact of oil price and electricity consumption on economic growth in Nigeria between 1981 and 2018 using the Non-Linear Autoregressive Distributed Lag (NARDL) model. Results reveal that falling and increasing oil prices as well as gross capital formation affect economic growth in Nigeria negatively and significantly in the short-run, while electricity consumption affects economic growth positively and significantly in the short-run. In the long-run, the impact on economic growth of negative changes in oil price is negative and insignificant, while positive changes in oil price have a positive but insignificant impact on economic growth. The impact on the economic growth of electricity consumption remains positive but insignificant while that of gross capital formation is positive and significant. The results suggest that both in the short and the long run positive changes in oil price have greater impact on the economic growth than negative oil price changes. Capital formation is a significant determinant of Nigerian economic growth both in the short and the long run.


2020 ◽  
Vol 70 (2) ◽  
pp. 215-227
Author(s):  
Konstantinos Spinthiropoulos ◽  
Christos Nikas ◽  
Eleni Zafeiriou

AbstractThe purpose of the study is to examine the relationship between tourism development and economic growth in Greece, using the Autoregressive Distributed Lag (ARDL)-Bounds testing procedure. The present paper attempts to examine the relevance of the tourism led growth hypothesis according to the Kaldorian theory. The analysis was carried out for the period from 1963 to 2016 and involves the short-run as well as the log-run impact. As a proxy for the output of the tourism sector, its receipts are employed, while as an index for economic growth, the GDP is employed. The empirical results show that the economy of Greece can recover and return to the long-run equilibrium with a speed of adjustment 7.17% per year.


2021 ◽  
Vol 14 (27) ◽  
pp. 63-75
Author(s):  
Okpeku Lilian ONOSE ◽  
◽  
Osman Nuri ARAS ◽  

The export-led growth hypothesis states a positive relationship between the growth of exports and long-run economic growth. This study examines the validity of the export-led growth hypothesis of services exports in 5 emerging economies, including Brazil, India, Nigeria, China, and South Africa (BINCS), for the period of 1980-2019. The study employs the panel mean group autoregressive distributed lag (ARDL) procedure to identify a causal relationship between services exports and gross domestic product (GDP) per capita. The findings show that the export-led growth hypothesis in services only has a positive effect on economic growth in the short run while other variables, including foreign direct investment (FDI), gross capital formation, and labour, increase economic growth in the long run. Hence, the emerging countries should focus more on internal investment to boost growth in the long and short run.


2013 ◽  
Vol 218 ◽  
pp. 94-113
Author(s):  
ANH PHẠM THẾ ◽  
ĐÀO NGUYỄN THỊ HỒNG

This study examines the econometric and empirical evidence of both causal and long-run relationship between foreign direct investment (FDI) and economic growth in Vietnam, covering a time span of 21 years from 1991 to 2012. The recent and robust methodology of bounds testing or autoregressive distributed lag model (ARDL) approach to Cointegration is employed for the empirical analysis. This technique can capture both short-run and long-run dynamics of variables, particularly in small sample size cases. The findings indicate the existence of a Cointegration relationship between the two time series and a modest adjustment process from short-run to long-run equilibrium. Further results from Granger causality tests conducted within the error correction model confirm a bi-directional causality between economic growth and FDI over the study period.


2015 ◽  
Vol 13 (1) ◽  
pp. 642-651
Author(s):  
Kunofiwa Tsaurai

The exchange rate led foreign direct investment (FDI), FDI led exchange rates and feedback effect hypotheses summarise the literature around the nature of the relationship between FDI and exchange rates. So many authors on this subject over a long period have been found to generally side with of the above-mentioned hypothesis or another without a consensus. Despite this lack of consensus with regard to the exact nature of the causal relation between these two variables, what is coming out clearly from the literature is that there indeed exist a relationship between FDI and exchange rates. The lack of consensus has prompted this current study that used the ARDL (Autoregressive distributed lag)-bounds testing approach. The study revealed the existence of causality from (1) the rand value to FDI in the long run and (2) FDI to the rand value only in the short run in South Africa. The author recommends that policies which strengthen the value of the rand should be put in place in order to attract FDI in the long run. The flow of FDI into South Africa will in turn not only stabilises the value of the rand.


2019 ◽  
Vol 9 (8) ◽  
pp. 1692 ◽  
Author(s):  
Abdul Rehman ◽  
Ilhan Ozturk ◽  
Deyuan Zhang

The rapid agricultural development and mechanization of agronomic diligence has led to a significant growth in energy consumption and CO2 emission. Agriculture has a dominant contribution to boosting the economy of any country. In this paper, we demonstrate carbon dioxide emissions’ association with cropped area, energy use, fertilizer offtake, gross domestic product per capita, improved seed distribution, total food grains and water availability in Pakistan for the period of 1987-2017. We employed Augmented Dickey-Fuller and Phillips-Perron unit root tests to examine the variables’ stationarity. An autoregressive distributed lag (ARDL) bounds testing technique to cointegration was applied to demonstrate the causality linkage among study variables from the evidence of long-run and short-run analyses. The long-run evidence reveals that cropped area, energy usage, fertilizer offtake, gross domestic product per capita and water availability have a positive and significant association with carbon dioxide emissions, while the analysis results of improved seed distribution and total food grains have a negative association with carbon dioxide emissions in Pakistan. Overall, the long-run effects are stronger than the short-run dynamics, in terms of the impact of explanatory variables on carbon dioxide emission, thus making the findings heterogeneous. Possible initiatives should be taken by the government of Pakistan to improve the agriculture sector and also introduce new policies to reduce the emissions of carbon dioxide.


Sign in / Sign up

Export Citation Format

Share Document