Investigating energy consumption and economic growth for BRICS-T countries

Author(s):  
Durmuş Çağrı Yıldırım ◽  
Seda Yıldırım ◽  
Isıl Demirtas

Purpose The purpose of this paper is to explore the relationship between energy consumption and economic growth for Brazil, Russia, China, India, South Africa and Turkey (BRICS-T) countries. In this context, this study investigates energy consumption and real output in BRICS-T countries through panel cointegration. Design/methodology/approach The data include energy consumption and real output for BRICS-T countries and period of 1990–2014. The variables are transformed into natural logarithm. To analyze these data, this study employed Pedroni cointegration test, the second-generation panel cointegration test, Westerlund and Edgerton (2008) test and FMOLS test. Findings Results indicate that there is a bi-directional causality relationship between energy consumption and economic growth for BRICS-T countries. An increase in GDP leads to an increase in energy consumption and an increase in energy consumption leads to an increase in GDP. Research limitations/implications This study used data that include the period of 1990–2014 for BRICS-T countries. So, further studies can use different periods of data or different countries. Originality/value This study provides important evidence that countries with strong growth performance need to follow bi-directional energy policies to increase both energy investments and ensure energy savings.

2018 ◽  
Vol 4 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Ritu Rani ◽  
Naresh Kumar

The purpose of this article is to investigate the possible cointegration and direction of causality between foreign direct investment (FDI) inflow, trade openness, and economic growth in BRICS countries using panel data from 1993 to 2015. Besides these variables, money supply and domestic credit (DC) to private players are also added in the model to examine the impact of financial openness on economic growth. The Pedroni’s panel cointegration test is used to examine the existence of long-run relationship, and coefficients of cointegration are examined by fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS). Further panel Granger causality test is used to examine the direction of causality among the competing variables. The results of Pedroni’s panel cointegration test indicate that there exists a long-run relationship among the variables under considerations in BRICS countries. The coefficient of FMOLS and DOLS indicates that trade openness has a positive impact on economic growth in BRICS countries while FDI inflow has a negative impact in these nations. In addition, the results of panel Granger causality confirmed bidirectional causality between FDI inflow and economic growth in the short run. The study recommends that BRICS countries should liberalize trade openness as it strengthens the position of member countries in the world economy.


2016 ◽  
Vol 8 (11) ◽  
pp. 111 ◽  
Author(s):  
Nahil Boussiga ◽  
Malek Ghdamsi

<p>Corruption has been increasingly recognized as the major threat to economic development, political stability and peace. It is also acknowledged by international community as the breeding ground for terrorism. This paper examines the relationship between corruption and terrorism in the long run. Previous studies examining the link between these two phenomena used only time series cointegration tests. In this paper, we make use of a dataset for a panel of 123 developed and developing countries over the period 2003-2014. We use Pedroni’s residual-based panel cointegration test and the error correction model-based panel cointegration test developed by Westerlund. In order to obtain more robust results, we use two different measures of corruption which are Corruption Perceptions Index (CPI) and Worldwide Control of Corruption Indicator (CC). The results of both tests reject the null hypothesis of no cointegration. we conclude that corruption and terrorism converge. Our findings corroborate results of previous studies.</p>


2018 ◽  
Vol 10 (3) ◽  
pp. 267-284
Author(s):  
Anthony Anyanwu ◽  
Christopher Gan ◽  
Baiding Hu

This paper analyses the relationship between bank credit and economic growth. We extend existing literature by treating separately the oil and non-oil sectors of 28 oil-dependent economies from 1990-2012. We employ panel cointegration and pooled mean group estimation techniques which are appropriate for drawing conclusions from dynamic heterogenous panels. The results of the panel cointegration test indicate that bank credit has no significant long-run relationship with non-oil GDP per capita. The results of the pooled mean group estimator reveal no significant long-run impact of bank credit on non-oil GDP per capita. Overall results suggest that banks do not yet provide adequate credit to stimulate non-oil economic growth. The policy implication of our findings is that the financial sector should be more involved in productive investment activities to promote inclusive growth.


2020 ◽  
Vol 47 (4) ◽  
pp. 769-787
Author(s):  
Constantinos Alexiou ◽  
Sofoklis Vogiazas ◽  
Nikita Solovev

PurposeThe relationship between institutional quality and economic growth is revisited.Design/methodology/approachA panel cointegration methodology and causality analysis are applied to 27 postsocialist economies over the period from 1996 to 2016.FindingsUtilizing the Worldwide Governance Indicators as a means of assessing the quality of institutions, it is found that in the long run, economic growth is positively associated with the rule of law and voice and accountability. In the short run, regulatory quality retains a positive effect, but voice and accountability demonstrate a puzzling negative effect on economic growth that merits further analysis. In exploring the causal dimension of our variables, supporting evidence of the strong links between the quality of institutions and economic growth is provided, hence rendering robust results.Originality/valueTo the best of the authors’ knowledge, it is the first time that an ARDL methodological framework, which addresses potential endogeneity issues, is used to investigate the relationship between institutional quality and growth in the context of postsocialist economies.


2018 ◽  
Vol 45 (5) ◽  
pp. 898-909 ◽  
Author(s):  
Panayiotis Tzeremes

Purpose The purpose of this paper is to investigate the relationship between the energy consumption and the economic growth in the USA and in a sectoral level by using monthly data from January 1991 to May 2016. Design/methodology/approach While assessing the relationship at a country level, the authors also examine five sectors by using quantile causality. Findings The findings indicate the existence of a causality at the sectoral level in tails. More specifically, industrial and electric sectors cause the growth at the lower and higher levels. Residential, commercial and transportation sectors do not cause the growth in all levels. Total consumption causes the growth in the middle and low levels but not in the high level. Finally, the empirical evidence signifies an asymmetric relationship between the covariates. Practical implications The results imply that when the consumption deals conditions with fluctuation, it is likely to be affected by growth. In such a case, energy policies gear toward reducing or increasing energy intensity, improving energy efficiency, encouraging the use of alternative sources and investing in the development of technology. Originality/value The authors use, for the first time, the quantile causality for the case of energy consumption and economic growth. The quantile test is useful for a thorough comprehension of the causal relationship for this area. Compared to the OLS, which is used for the majority of causality tests, the quantile investigates the causality at the sectoral level in the tails.


2013 ◽  
Vol 2 (2) ◽  
pp. 251-275 ◽  
Author(s):  
Waqas Ahmed ◽  
Khalid Zaman ◽  
Sadaf Taj ◽  
Rabiah Rustam ◽  
Muhammad Waseem ◽  
...  

PurposeThis study aims to examine the relationship between electricity consumption per capita (ELEC) and real per capita income (Y), as the direction of causation of this relationship remains controversial in the existing literature. It also seeks to explore the relationship between energy consumption per capita (ENC) and real per capita income, over a 34‐year period (between 1975 and 2009).Design/methodology/approachThe study uses Johansen cointegration technique to determine the short‐ and long‐run relationship between the variables. The authors also utilize Granger causality test to determine the causal relationship between the selected variables.FindingsThe study provides evidence of bi‐directional causality between the electricity consumption per capita and real per capita income on one hand; and energy consumption per capita and real per capita income on the other hand as the direction of causality has significant policy implications.Research limitations/implicationsThis study does not include all dimensions of the energy growth, but is limited to the three variables which the authors consider to be critical to economic development, including energy consumption, electricity consumption and economic growth.Originality/valueThe study uses a sophisticated econometric technique with additional tests of forecasting framework to examine the effect of energy demand on economic growth over a period of the next ten years, i.e. 2010‐2019, in the context of Pakistan. The impulse response describes the reaction of the system as a function of independent variable that parameterizes the dynamic behavior of the system.


2020 ◽  
pp. 1-6
Author(s):  
Sayed Kushairi Sayed Nordin ◽  
Siok Kun Sek

Energy is essential as an input to develop economic, although it could bring negative effect on environmental quality. The relationship between energy consumption, environmental degradation and economic growth have been widely studied, but there is no consistency in the relationship. The objectives of this study are to determine the short-run relationship (one-way or bidirectional) and to reveal the long-run relationship for each pair of variables. The second-generation panel unit root and cointegration test were used in the analysis. Breusch-Pagan LM test suggests that there is a cross-sectional dependency for all the models and integrated of order one, I (1). Cointegration test indicates that economic growth has long-relationship with carbon dioxide and energy consumption in high-income countries. In low-income countries, carbon dioxide has a long-run relationship with energy consumption and economic growth. In the short run, we have evidence of a bidirectional relationship between energy consumption and economic growth in high-income countries but a one-way relationship in low-income countries. Overall, it can be concluded that the three variables are related. This study develops a deeper awareness and understanding of the relationship between the variables in distinct levels of economies. Keywords: energy consumption; CO2, economic growth


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ziqi Yin ◽  
Xue Jin

PurposeWith the rapid development of the economy, carbon emissions have also risen sharply. This study explores the relationship between the two by combining the literature of relevant fields and maps the analytical framework from the knowledge base to the research frontier model using CiteSpace.Design/methodology/approachUsing CiteSpace and data statistical tools, we conducted a bibliometric and visual analysis of nearly ten thousand research papers on carbon emissions and economic development published in the Web of Science (WOS) and China National Knowledge Infrastructure (CNKI) databases from 1991 to 2021.FindingsIt shows that research on economic development and carbon emissions is developing steadily and involves a wide range of fields. Notably, keywords such as “carbon emissions,” “economic growth,” and “energy consumption” had high frequency, centrality, and persistence. “carbon emissions,” “economic growth,” and “energy consumption” had high frequency, centrality, and persistence. Research institutions in the USA and China have made great contributions to research on economic development and carbon emissions. The authors should continue to enrich and improve research on related subjects and concerns to reasonably plan the path of carbon emission reduction and economic development.Originality/valueThe study analyzes the evolution of the relationship between carbon emissions and economic growth to provide scholars a more comprehensive and in-depth understanding of the relationship from an international perspective.


Author(s):  
Badry Hechmy

Purpose The purpose of this paper is to examine the relationship between renewable energy consumption and economic growth in non-oil countries in the Middle East and North Africa (non-oil-MENA) during the period from 2000 to 2014. The Pedroni (2000) test shows that there is a long-term cointegration relationship between those variables; however, the Granger causality test in the vector error correction model (VECM) shows that this relationship is bidirectional in the short and long term. Thus, to ensure sustainable economic growth without pollution and to reduce dependence on abroad, renewable energies can be chosen as substitutes for conventional energies in the non-oil-MENA countries. Design/methodology/approach First, LLC and IPS unit root tests are used to test the variables stationarity; and, second, Pedroni panel cointegration and Engle–Granger causality by VECM analysis are used to check the relationship between the studied variables. Findings Empirical results show that the renewable energy consumption and economic growth are cointegrated and that there are two-way causal relationships between them in the long and in the short term. These countries must therefore encourage the consumption of renewable energy instead of traditional energy to reduce their dependence on energy from abroad and CO2 pollution. Originality/value The originality of this work lies in the measurements of the study variables and the empirical investigation methods used.


2020 ◽  
Vol 22 (2) ◽  
pp. 281-296
Author(s):  
John Gartchie Gatsi ◽  
Michael Owusu Appiah

PurposeThe study explores the relationship among economic growth, population growth, gross savings and energy consumption over the period 1987– 2017.Design/methodology/approachThe autoregressive distributed lag (ARDL) bounds test approach by Pesaran et al. (2001) was employed to investigate variables for the study.FindingsIn the key findings, both gross savings and population growth negatively affect economic growth. However, energy consumption has positive impact on economic growth.Practical implicationsThese findings call for policy portfolios to address the impacts of gross savings and population growth on economic development. In particular, the financial sector needs to be revamped to be more efficient in channeling funds from the surplus units to the deficit units. It is recommended that investment be made in financial and technological innovation to provide efficient access to credits and other financial products even though individual savings may not move with economic growth.Originality/valueMany studies have explored the nexus between savings and economic growth without considering population growth and energy consumption. In this study, the relationship among savings, economic growth, population growth and energy consumption provide additional knowledge in policy formulation.


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