scholarly journals Is there a relationship between electricity consumption and economic growth in Zimbabwe?

2013 ◽  
Vol 10 (4) ◽  
pp. 283-290 ◽  
Author(s):  
Kunofiwa Tsaurai
Keyword(s):  
Economic Growth ◽  
Production Capacity ◽  
Electricity Consumption ◽  
Scaling Up ◽  
Electricity Production ◽  
Causality Test ◽  
The Third ◽  
Long Run ◽  
Capacity Improvement ◽  
Causality Relationship

This paper investigated the causality relationship between electricity consumption and economic growth in Zimbabwe using a bi-variate time series framework for the period 1980 to 2011. The causality relationship between the two variables has been a subject of extensive debate for decades among economists and academics. There are four dominant perspectives with regard to the causality relationship between electricity consumption and economic growth. The first perspective maintains electricity consumption spur economic growth whilst the second perspective argues that it is economic growth that drives electricity consumption. The third perspective suggests that both electricity consumption and economic growth promotes each other whilst the fourth perspective argues that there is no causality relationship at all between the two variables both in the short and long run. Using the bi-variate causality test framework, this study failed to establish any direct causality relationship between energy consumption and economic growth. The results imply the existence of an indirect bi-directional causality relationship between the two variables. The study therefore recommends Zimbabwe authorities to address indirect factors that have a bearing on economic growth over and above scaling up investment efforts into electricity production capacity improvement infrastructure

scholarly journals The Relationship between Government Size and Economic Growth in Iran; Bivariate and Trivariate Causality Testing

2012 ◽  
Vol 4 (5) ◽  
pp. 268-276
Author(s):  
Salma Keshtkaran ◽  
Farzane Bagheri .
Keyword(s):  
Economic Growth ◽  
Government Size ◽  
Causality Test ◽  
The Third ◽  
Oil Revenue ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
Causality Relationship ◽  
The Relationship

The aim of this study is to demonstrate the relationship between government size and economic growth in Iran within bivariate and trivariate causality framework. For this purpose, Vector Auto Regressive Model, Johansen Test and Auto Regressive Distributed Lag Model were used for analyzing the long run relationship, whereas Error Correction Model was considered for the short run. Moreover Wald Coefficient was used for bivariate and trivariate causality test. The results show that the relationship between government size and economic growth in Iran is negative. Furthermore there is a one-way causality relationship for the long run and the short run-from government size to economic growth. Inclusion of unemployment and oil revenue (separately) as the third variable causes the relationship to remain negative. However the direction of causality depends on the choice of the third variable. If unemployment rate is considered as the third variable instead, there will be no causality between the two variables in the long run. Although in the short run government size is still the cause of economic growth. However, consideration of oil revenue as the third variable results in a two-way causality relationship between the government size and the economic growth in the long run and the short run.

scholarly journals Relationship Economic Growth with Foreign Direct Investment

2020 ◽  
Vol 3 (3) ◽  
pp. 49-68
Author(s):  
Prince Charles Heston Runtunuwu
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Foreign Investment ◽  
Direct Investment ◽  
Positive Impact ◽  
Secondary Data ◽  
Causality Test ◽  
Long Run ◽  
Causality Relationship ◽  
The One

This study aims to determine the one-way causality relationship between foreign investment and economic growth, a one-way causality relationship between economic growth and foreign investment, and a two-way causality relationship between foreign investment and economic growth in Indonesia. This was conducted in Indonesia, the data are secondary data taken using the method time series from 1971 to 2018 from the official websites, the Investment Coordinating Board, and literature sources, Foreign Investment and Gross Domestic Product. (1) in the long run the Economic Growth variable has a significant effect on Foreign Direct Investment, and vice versa; and (2) the Foreign Direct Investment variable has a significant effect on Economic Growth; (3) in the short term, the Economic Growth variable has an influence on Foreign Direct Investment, and vice versa; and the Foreign Direct Investment variable has an influence on Economic Growth. It is possible to have a better long-term relationship, bringing positive impact on economic growth in Indonesia when investment in Indonesia increases. Conversely, when economic growth decreases, it means that foreign investment is also low. Granger Causality test, shows a two-way causality relationship between Economic Growth and Foreign Direct Investment and vice versa. It is necessary to maintain growth to attract foreign direct investment, as well as foreign investment. Investment climate needs to be improved enabling to invest in Indonesia.

By applying an ARDL bounds testing approach and causality test to investigate the electricity consumption and production with economic growth

2019 ◽  
Vol 17 (2) ◽  
pp. 182-199 ◽  
Author(s):  
Abdul Rehman ◽  
Muhammad Irfan ◽  
Sehresh Hena ◽  
Abbas Ali Chandio
Keyword(s):  
Economic Growth ◽  
Electricity Consumption ◽  
Electricity Production ◽  
Bounds Testing ◽  
Causality Test ◽  
Content Type ◽  
Ardl Bounds Testing ◽  
Bounds Testing Approach ◽  
Testing Approach ◽  
Ardl Bounds Testing Approach

Purpose The purpose of this paper is to explore and investigate the electricity consumption and production and its linkage to economic growth in Pakistan. Design/methodology/approach The authors used an augmented Dickey–Fuller unit root test to check the stationarity of the variables, while an autoregressive distributed lag (ARDL) bounds testing approach and causality test were applied to investigate the variables long-term association with the economic growth. Findings The study results show that electricity consumption in the agriculture, commercial and industrial sector has significant association with economic growth, while electricity consumption in the household and street lights demonstrate a non-significant association with the economic growth. Furthermore, results also exposed that electricity production from coal, hydroelectric, natural gas, nuclear and oil sources have significant association with the economic growth of Pakistan. Originality/value This study made a contribution to the literature regarding electricity consumption and production with economic growth in Pakistan by using an ARDL bounds testing approach and causality test. This study provides a guideline to the government of Pakistan that possible steps are needed to improve the electricity production and supply to fulfill the country demand.

scholarly journals Electricity Consumption, Corruption and Economic Growth

2018 ◽  
Vol 6 (4) ◽  
pp. 193-214
Author(s):  
Busrat Abidemi Agbaje ◽  
Ekele Idachaba
Keyword(s):  
Economic Growth ◽  
Causal Relationship ◽  
Electricity Consumption ◽  
Electricity Price ◽  
African Countries ◽  
Causality Test ◽  
Long Run ◽  
Integration Techniques ◽  
Short Run ◽  
Electricity Infrastructure

An important prerequisite for reducing poverty, sustainable development and achievement of the millennium development goal has to some extent been tied to access to electricity. However, the subject matter; 'electricity consumption causing economic growth' has seen conflicting results from the theoretical and empirical front, if indeed a relationship exist at all. The study tests, within a panel context the long-run relationship between electricity consumption and economic growth for 13 African Countries from 2006 to 2017 by employing recently developed panel co-integration techniques. Implementing a three stage approach made up of panel unit root, panel co-integration and Granger causality test to examine the causal relationship between electricity consumption, electricity price, corruption, employment and growth. The study provides empirical evidence that a bidirectional causal relationship between electricity consumption and economic growth exist in the short run, suggesting that lack of electricity could hamper economic growth as well as an investment in electricity infrastructure would in turn improve economic growth. Also reveals that corruption causes the level of electricity consumption and GDP in the short run. On the long-run front electricity consumption and electricity price granger causes GDP and GDP causes electricity consumption.

Does any nexus between electricity consumption and economic growth exist? Evidence from Haryana using VAR model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kamaljit Singh
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Renewable Energy Sources ◽  
Electricity Consumption ◽  
Granger Causality Test ◽  
Economic Downturn ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Per Capita

Purpose In the fast-changing technological environment, electricity is the essence of the world economy and a significant means for all the modern world’s possessions. The ongoing economic downturn focuses on energy’s role in the economy. This study aims to explore the nexuses between per capita electricity usage and per capita state gross domestic product (SGDP) in Haryana, India. Design/methodology/approach The statistics from 1989 to 2015 have been analyzed using Johansen cointegration, vector autoregression and paired Granger-causality test. Findings The Granger causality test results show that a long-run association is absent. A short-run unidirectional relationship runs from per capita SGDP to per capita electricity usage. Practical implications As a policy suggestion, the policymakers may encourage energy conservation measures and renewable energy sources to lead the country’s sustainable energy supply. Moreover, Haryana can increase its influence in this sector and enter rapidly in the growing markets worldwide by stimulating the production and adoption of digital solutions for energy efficiency. Originality/value To the best of the author’s awareness, this research is one of its nature regarding systematically analyzing electricity usage and economic growth relationship in Haryana.

The Importance of Railroad Freight Transportation and Its Correlation to Economic Growth

2021 ◽  
Vol 11 (2) ◽  
pp. 1-13
Author(s):  
Volkan Köse ◽  
Dilek Temiz Dinç ◽  
Aytaç Gökmen
Keyword(s):  
Economic Growth ◽  
Econometric Model ◽  
Freight Transportation ◽  
Econometric Analysis ◽  
Causality Test ◽  
Long Run ◽  
Causality Tests ◽  
Short Run ◽  
Causality Relationship ◽  
Railroad Freight

In this study, the railroad freight transportation and economic growth relationship in Turkey was examined using the econometric analysis for the period of 1984-2017. As a result of the econometric analysis, it was found that there is no causal relationship between railroad freight transportation and economic growth in the long run, while there is a causality relationship from railroad freight transportation to economic growth in the short run. In addition to causality tests, an econometric model was created using stationary series, and the OLS method was applied for this model. According to this estimation result, an increase in railroad freight transportation increases economic growth. When this result obtained from the OLS estimation and the findings obtained from the Granger causality test are evaluated altogether, it can be stated that an increase in railroad freight transportation accelerates economic growth in the short run in Turkey.

scholarly journals The Nexus Between Electricity Consumption, Economic Growth, and CO2 Emission: An Asymmetric Analysis Using Nonlinear ARDL and Nonparametric Causality Approach

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1258 ◽  
Author(s):  
Philip Chukwunonso Bosah ◽  
Shixiang Li ◽  
Gideon Kwaku Minua Ampofo ◽  
Daniel Akwasi Asante ◽  
Zhanqi Wang
Keyword(s):  
Economic Growth ◽  
Carbon Emission ◽  
Carbon Dioxide Emission ◽  
Strong Support ◽  
Electricity Consumption ◽  
Causality Test ◽  
Long Run ◽  
The Uk ◽  
Asymmetric Causality ◽  
Asymmetric Cointegration

This article examines the asymmetric relationship between electric consumption, economic growth, and carbon dioxide emission in 15 countries over the period 1971–2014. We employed a nonlinear auto-regressive distribution Lag (NARDL) model approach to investigate the asymmetric cointegration between variables. Additionally, we applied the asymmetric causality approach to determine the causal relationship between variables. Results confirm nonlinear cointegration between variables in Cameroon, Congo Republic, Zambia, Canada, and the UK. The Wald test results confirm a long-run asymmetric link between electricity consumption, economic growth, and carbon emission in Canada and Cameroon, while a short-run asymmetric effect in the Congo Republic and the UK. Findings from the granger causality test are volatile across variables. The result provides strong support for the symmetric relationship between electric consumption, economic growth, and carbon emission in the short and long run. This study provides new evidence for policymakers to formulate country-specific policies to obtain better environmental quality while achieving sustainable economic growth.

scholarly journals Electricity Consumption and Economic Growth in Vietnam: A Cointegration and Causality Analysis

2011 ◽  
pp. 24-36
Author(s):  
Canh Le Quang
Keyword(s):  
Economic Growth ◽  
Electricity Consumption ◽  
Causality Analysis ◽  
Long Run ◽  
Short Run ◽  
National Energy Security ◽  
Causality Relationship ◽  
Per Capita ◽  
Electricity Shortage ◽  
Domestic Products

Using a cointegration and causality analysis, this paper investigates the causal relationship between electricity consumption and economic growth in Vietnam dur- ing the period of 1975-2010. Empirical results show that there is no causality effect of per capita electricity consumption on per capita Gross domestic products (GDP) in both the short-run and long-run, but a causality relationship running from per capita GDP to per capita electricity consumption in the long-run. This result is help- ful to understand the roles of economic growth on making energy policies in Vietnam to deal with the current electricity shortage accompanied with economic growth and to ensure national energy security.

scholarly journals The Causal Relationship between Energy Consumption, CO2 Emission, Population Growth and Economic Growth in South Africa: A Multivariate Investigation

2020 ◽  
pp. 1-5
Author(s):  
Erasmus L Owusu ◽  
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Energy Consumption ◽  
Population Growth ◽  
Causal Relationship ◽  
Co2 Emission ◽  
Electricity Consumption ◽  
Electricity Production ◽  
Bounds Testing ◽  
Long Run

The paper empirically examines the short and long-run causal relationship between energy consumption, CO2 emission, population growth and economic growth in South Africa. In so doing, the paper employs multivariate Granger-Causality within an ARDL-bounds testing approach to co-integration and unrestricted error correction model (UECM). The paper finds that energy usage and electricity consumption cause economic growth in South Africa but only in the short run. Additionally, the paper finds that, economic growth, population growth and energy consumption cause CO2 emission. Thus, policies should be targeted at the expansion of renewable and efficient electricity production in order to cope with the expected demand from expected population growth and from increasing demand from industries in order to maintain sustainable economic growth

scholarly journals An empirical analysis of the energy consumption – real GDP nexus for Zimbabwe

2013 ◽  
Vol 10 (3) ◽  
pp. 426-433
Author(s):  
Kunofiwa Tsaurai
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Time Series Data ◽  
Scale Up ◽  
Series Data ◽  
Causality Test ◽  
Long Run ◽  
Causality Relationship ◽  
Capital Development ◽  
Growth Hypothesis

This study looked into causality relationship between energy consumption and economic growth in Zimbabwe using time series data spanning from 1980 to 2011. Four views explaining the causality relationship between energy consumption and economic growth include the growth hypothesis, conservation hypothesis, feedback hypothesis and the neutrality hypothesis. Whilst the growth hypothesis argues that energy consumption promotes economic growth, conservation hypothesis says that it is in fact economic growth that drives energy consumption. The feedback hypothesis argues that both energy consumption and economic growth promote each other whilst according to the neutrality hypothesis, no causality relationship exist between the two variables either in the short or long run. Using the bi-variate causality test framework, this study failed to establish any direct causality relationship between energy consumption and economic growth. However, the results imply the existence of an indirect bi-directional causality relationship between the two variables. The study therefore recommends Zimbabwe authorities not only to scale up investment into energy generation capacity improvement infrastructure but also address indirect factors like employment, human capital development, financial market development, and government consumption, among others in order to boost sustainable economic growth.

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