ENERGY SECURITY, RENEWABLE, NON-RENEWABLE ENERGY AND ECONOMIC GROWTH IN ASEAN ECONOMIES: NEW INSIGHTS

2020 ◽  
pp. 1-32
Author(s):  
RABINDRA NEPAL ◽  
HAMMED OLUWASEYI MUSIBAU
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Security ◽  
Structural Breaks ◽  
Correlation Effect ◽  
Cross Sectional ◽  
Effect Analysis ◽  
Long Run ◽  
Cross Sectional Dependence ◽  
Asean Countries

This study examines the linkages between energy security (ES), renewable and non-renewable energy on economic growth for ASEAN countries within a neo-classical growth framework. The econometric techniques account for cross-sectional dependence and structural breaks by undertaking a dynamic common correlation effect analysis unlike previous studies. The study finds a long-run relationship between ES, renewable, non-renewable energy and economic growth for ASEAN economies between 1980 and 2018. Our results also confirm a feedback relationship between renewable energy and economic growth in the ASEAN. Thus, the ASEAN governments must prioritize renewable energy funding and investments. The results are robust to different estimations and methods.

scholarly journals Does Globalization Moderate the Effect of Economic Complexity on CO2 Emissions? Evidence From the Top 10 Energy Transition Economies

2021 ◽  
Vol 9 ◽  
Author(s):  
Kai He ◽  
Muhammad Ramzan ◽  
Abraham Ayobamiji Awosusi ◽  
Zahoor Ahmed ◽  
Mahmood Ahmad ◽  
...  
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Transition Economies ◽  
Carbon Emissions ◽  
Environmental Sustainability ◽  
Energy Transition ◽  
Cross Sectional ◽  
Economic Complexity ◽  
Long Run ◽  
The Government

The association between economic complexity (sophisticated economic structure) and carbon emissions has major implications for environmental sustainability. In addition, globalization can be an important tool for attaining environmental sustainability and it may also moderate the association between economic complexity and carbon emissions. Thus, this research examines the effects of economic complexity, economic growth, renewable energy, and globalization on CO2 emissions in the top 10 energy transition economies where renewable energy and globalization have greatly increased over the last 3 decades. Furthermore, this study also evaluates the joint effect of globalization and economic complexity on carbon emissions. Keeping in view the presence of slope heterogeneity and cross-sectional dependence in the data, this research utilized second-generation unit root tests (CIPS and CADF), Westerlund cointegration approach, and CS-ARDL and CCEMG long-run estimators over the period of 1990–2018. The results affirmed the presence of cointegration among the considered variable. Long-run findings revealed that globalization, renewable energy, and economic complexity decrease carbon emissions. Conversely, economic growth increases carbon emissions. Moreover, the joint impact of economic complexity and globalization stimulates environmental sustainability. Based on these findings, the government of these groups of economies should continue to expand the usage of renewable energy. They should also promote interaction with the rest of the world by adopting the policy of opening up.

Nexus of Renewable Energy Consumption, Economic Growth, Population Growth, FDI, and Environmental Degradation in South Asian Countries: New Evidence from Driscoll-Kraay Standard Error Approach

2021 ◽  
Vol 3 (2) ◽  
pp. 200-211
Author(s):  
Ansar Abbas Shah ◽  
Muhammad Sajjad Hussain ◽  
Muhammad Atif Nawaz ◽  
Mazhar Iqbal
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Population Growth ◽  
South Asian ◽  
Environmental Degradation ◽  
Asian Countries ◽  
Renewable Energy Consumption ◽  
Cross Sectional ◽  
Cross Sectional Dependence

Environmental degradation is the most prominent area nowadays, especially in developing counties where high renewable energy consumption and population growth deteriorate the atmosphere of the country. Thus, the current study investigates the nexus among renewable energy consumption, economic growth (EG), population growth, foreign direct investment (FDI), and environmental degradation in South Asian countries. The covariance matrix estimators that are developed by “Driscoll and Kraay” are used in this study. The primary property of this estimator is that it does not account for the cross-sectional dependence; thus, it provides substantial, robust outcomes among the cross-sectional units while in the presence of cross-sectional dependence. The data was collected from the World Development Indicators (WDI) from 2001 to 2019. The findings exposed that positive nexus among the population growth, FDI, and environmental degradation while renewable energy consumption and EG has negative nexus with environmental degradation and also not supported the EKC hypothesis in South Asian countries. These findings suggested that the regulators should develop policies that reduce environmental degradation in the presence of high EG, energy consumption, FDI, and population growth.

ELECTRICITY CONSUMPTION, TRADE OPENNESS AND ECONOMIC GROWTH IN DEVELOPING COUNTRIES: A DISAGGREGATED APPROACH

2021 ◽  
pp. 1-28
Author(s):  
KIZITO UYI EHIGIAMUSOE ◽  
SIKIRU JIMOH BABALOLA
Keyword(s):  
Economic Growth ◽  
Trade Openness ◽  
Electricity Consumption ◽  
Impulse Response Functions ◽  
African Countries ◽  
Cross Sectional ◽  
Long Run ◽  
Short Run ◽  
Cross Sectional Dependence ◽  
Trade And Growth

This study examines the relationship between electricity consumption, trade openness and economic growth in 25 African countries during 1980–2016. It disaggregates electricity into renewable and non-renewable and disaggregates trade into exports and imports. It employs cointegration and Granger causality techniques that enable us to determine both joint and individual causality, as well as account for individual heterogeneity and cross-sectional dependence. It also uses the variance decompositions (VDs) and impulse response functions (IRFs). This study shows a short-run and long-run joint causality from electricity and trade to growth, as well as a short-run and long-run joint causality from trade and growth to electricity. Besides, the Dumitrescu–Hurlin Granger non-causality technique shows a bidirectional causality between electricity and growth and between trade and growth but a unidirectional causality from electricity to trade. It also reveals the causal relationships from exports, imports, renewable and non-renewable electricity to growth. This study implies that electricity consumption and trade openness stimulate growth, while the latter also determines electricity consumption and trade openness. Based on the findings, we recommend some policy options.

scholarly journals Heterogeneous Analysis of Pollution Abatement via Renewable and Non-Renewable Energy: Lessons from Investment in G20 Nations

2021 ◽  
Author(s):  
Kazeem Bello Ajide ◽  
Ekundayo Peter Mesagan
Keyword(s):  
Renewable Energy ◽  
Carbon Emissions ◽  
Capital Investment ◽  
Pollution Abatement ◽  
Jel Classification ◽  
Cross Sectional ◽  
Pooled Mean Group ◽  
Long Run ◽  
Short Run ◽  
Cross Sectional Dependence

Abstract This study analyses the role of renewable and non-renewable energy in pollution reduction through the capital investment channel in G20 economies between 1990 and 2017. We consider cross-sectional dependence since the countries are heterogeneous and cross-sectionally dependent using the pooled mean group approach. Findings reveal that renewable energy negatively impacts carbon emissions in both the short- and long-run, while non-renewable energy positively affects carbon emissions in both the short- and long-run. Again, results show that capital investment lowers pollution in the short-run but increases it in the long-run. Lastly, we find that capital investment interacts with renewable energy to reduce pollution in both short- and long-run, while its interaction with non-renewable energy expands pollution in both short- and long-run. We, therefore, conclude that capital investment provides an important channel to reduce pollution in G20 nations and recommend that if energy consumption is to work through the capital investment channel to lower pollution in the G20, the proportion of renewable energy must increase relative to non-renewable energy in their energy mix.JEL Classification: Q41; Q42; Q53; F23; O50.

scholarly journals Financial Development and Economic Growth: Evidence from the Eurozone

2021 ◽  
Vol 4 (1) ◽  
pp. p7
Author(s):  
Pavlos Stamatiou ◽  
Maria Papadopoulou
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Trade Openness ◽  
Panel Analysis ◽  
Cross Sectional ◽  
Analysis Techniques ◽  
Long Run ◽  
Cross Sectional Dependence ◽  
Using Data ◽  
The Relationship

The aim of this paper is to investigate the relationship between financial development and economic growth, within a panel framework that also accounts for trade openness, for the case of Eurozone using data covering the period 1990-2018. We explore this relationship using panel analysis techniques, robust to cross sectional dependence, in order to investigate the presence of causality between the variables. The cointegration results suggested that there is one cointegrated vector between the functions of economic growth, financial development and trade openness. In addition, the causality results of the study revealed, both in the short and long-run, that there is a unidirectional causal relationship between financial development and economic growth with direction from economic growth to financial development, as well as a unidirectional causality running from trade openness to financial development.

scholarly journals Revisiting Energy Consumption-economic Growth Hypothesis: Do Slope Heterogeneity and Cross-sectional Dependence Matter?

2021 ◽  
Vol 8 (1) ◽  
pp. 10-24
Author(s):  
Miriam Kamah ◽  
Joshua Sunday Riti
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Panel Data ◽  
Developed Countries ◽  
Cross Sectional ◽  
Distributed Lag ◽  
Long Run ◽  
Advanced Economies ◽  
Cross Sectional Dependence

In this paper, the long-term nexus between energy consumption and economic growth is investigated using a panel data of 80 countries from World Bank data base for the period 1970 to 2017. In order to check for the issues of endogeneity, slope heterogeneity, and cross-sectional dependence present in errors of panel data, the study applied cross-sectional augmented autoregressive distributed lag (CS-ARDL) and cross-sectional augmented distributed lag (CS-DL) models to examine the long-term impact of energy consumption on economic growth. The empirical results revealed that energy consumption has a positive and significant long-run effect on economic growth and that cross-sectional dependence, slope endogeneity and heterogeneity are issues that should be on the watch when dealing with panel data of developing and developed countries’ analysis. Furthermore, the outcomes indicated that the impact of energy consumption on economic growth is stronger in less developed countries than in advanced economies. Technological progressions that give rise to the advancement of clean and efficient energy and substitution of low-quality fuels with high quality fuels are some of the possible channels that weaken the link between energy consumption and economic growth in advanced economies. Importantly, from a policy perspective, based on the study findings, energy conservation policies aimed at promoting environmental quality may worsen economic growth in developing countries, thereby adversely affecting their long-run economic growths.

scholarly journals A Review on Energy and Renewable Energy Policies in Iran

2021 ◽  
Vol 13 (13) ◽  
pp. 7328
Author(s):  
Saeed Solaymani
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Causal Relationship ◽  
Energy Security ◽  
Fossil Fuels ◽  
Agricultural Products ◽  
Energy Resources ◽  
Causality Analysis ◽  
Renewable Energy Consumption

Iran, endowed with abundant renewable and non-renewable energy resources, particularly non-renewable resources, faces challenges such as air pollution, climate change and energy security. As a leading exporter and consumer of fossil fuels, it is also attempting to use renewable energy as part of its energy mix toward energy security and sustainability. Due to its favorable geographic characteristics, Iran has diverse and accessible renewable sources, which provide appropriate substitutes to reduce dependence on fossil fuels. Therefore, this study aims to examine trends in energy demand, policies and development of renewable energies and the causal relationship between renewable and non-renewable energies and economic growth using two methodologies. This study first reviews the current state of energy and energy policies and then employs Granger causality analysis to test the relationships between the variables considered. Results showed that renewable energy technologies currently do not have a significant and adequate role in the energy supply of Iran. To encourage the use of renewable energy, especially in electricity production, fuel diversification policies and development program goals were introduced in the late 2000s and early 2010s. Diversifying energy resources is a key pillar of Iran’s new plan. In addition to solar and hydropower, biomass from the municipal waste from large cities and other agricultural products, including fruits, can be used to generate energy and renewable sources. While present policies indicate the incorporation of sustainable energy sources, further efforts are needed to offset the use of fossil fuels. Moreover, the study predicts that with the production capacity of agricultural products in 2018, approximately 4.8 billion liters of bioethanol can be obtained from crop residues and about 526 thousand tons of biodiesel from oilseeds annually. Granger’s causality analysis also shows that there is a unidirectional causal relationship between economic growth to renewable and non-renewable energy use. Labor force and gross fixed capital formation cause renewable energy consumption, and nonrenewable energy consumption causes renewable energy consumption.

Does Technological Innovation Advance Environmental Sustainability in ASEAN Countries?

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Tabish Nawab ◽  
Muhammad Azhar Bhatti ◽  
Muhammad Atif Nawaz
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Environmental Sustainability ◽  
Energy Demand ◽  
Carbon Emission ◽  
Technology Innovation ◽  
Renewable Energy Consumption ◽  
Panel Ardl ◽  
Long Run ◽  
Environment Degradation

Environment degradation is a very important issue in developing nations and a lot of research had done to examine the factors of environmental degradation but these studies were missed some important factors which are covered by this study. By examining the effect of economic growth and energy in the presence of renewable energy consumption and technology innovation on environment degradation for ASEAN nations. Panel ARDL (which is PMG and MG) is used to estimate the model, and the advantage of this model is it gives both the long and short-run estimates of the model which helps to understand the situation in both short as well as long run. The results confirm that economic growth, Population, trade, and renewable energy increase the carbon emission level in ASEAN nations. While technology innovation decreased carbon emission levels which means technology innovation helps to keep the environment healthy and clean. Hence, economic growth helps the nations to improve their energy mode from non-renewable to renewable energy, which meets the energy demand by keeping the environment clean.

What Goes Up Might Not Come Down: Modeling Directional Asymmetry with Large-N, Large-T Data

2021 ◽  
pp. 008117502110463
Author(s):  
Ryan P. Thombs ◽  
Xiaorui Huang ◽  
Jared Berry Fitzgerald
Keyword(s):  
Fixed Effects ◽  
Directional Asymmetry ◽  
Cross Sectional ◽  
Monte Carlo Experiments ◽  
Long Run ◽  
Large N ◽  
Fixed Effects Estimator ◽  
Cross Sectional Dependence ◽  
Using Data ◽  
Heterogeneous Panel

Modeling asymmetric relationships is an emerging subject of interest among sociologists. York and Light advanced a method to estimate asymmetric models with panel data, which was further developed by Allison. However, little attention has been given to the large- N, large- T case, wherein autoregression, slope heterogeneity, and cross-sectional dependence are important issues to consider. The authors fill this gap by conducting Monte Carlo experiments comparing the bias and power of the fixed-effects estimator to a set of heterogeneous panel estimators. The authors find that dynamic misspecification can produce substantial biases in the coefficients. Furthermore, even when the dynamics are correctly specified, the fixed-effects estimator will produce inconsistent and unstable estimates of the long-run effects in the presence of slope heterogeneity. The authors demonstrate these findings by testing for directional asymmetry in the economic development–CO2 emissions relationship, a key question in macro sociology, using data for 66 countries from 1971 to 2015. The authors conclude with a set of methodological recommendations on modeling directional asymmetry.

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