The dynamic relationships among CO2 emissions, renewable and non-renewable energy sources, and economic growth in India: Evidence from time-varying Bayesian VAR model

Kang, Sang Hoon; Islam, Faridul; Tiwari, Aviral Kumar

doi:10.1016/j.strueco.2019.05.006

Cited by 105 publications

(54 citation statements)

References 42 publications

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“…A 1% increase in economic growth level leads to an approximately 0.79% increase in the energy transition process. This finding is in line with Saidi and Hammam (2015); Adams et al (2018), Hoon Kang et al (2019), and Diaz et al (2019) who found a positive linkage between economic growth and moving from fossil fuels to renewables. Our result is in contrast to Maji (2015) and Chen et al (2019), who proved a mixture of negative and positive relationships between green energy usage and economic growth.…”

Section: Gmm Findingssupporting

confidence: 85%

“…As for the similarities, economic growth has a positive relationship with the energy transition, while CO 2 emissions negatively influence energy transition in all sample groups. The results, regarding the economic growth-energy transition linkage, is in line with Saidi and Hammam (2015); Saad and Taleb (2017), Adams et al (2018); Hoon Kang et al (2019), Diaz et al (2019) and Kouton (2020), who found a positive correlation between economic growth and moving from fossil fuels to renewables (energy transition). Our result is in contrast to Maji (2015) and Chen et al (2019), who proved a mixture of negative and positive relationships between green energy usage and economic growth.…”

Section: Concluding Remarks and Policy Recommendationssupporting

confidence: 82%

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Analyzing Energy Transition Patterns in Asia: Evidence From Countries With Different Income Levels

Taghizadeh–Hesary¹,

Rasoulinezhad²

2020

Front. Energy Res.

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Energy transition as the issue of striving to use more environmentally friendly energy sources instead of fossil fuels is a crucial debate for scholars. A key point is how macroeconomic variables can accelerate the energy transition movement in different regions, which may lead to similarities in energy transition patterns among various regions. The main purpose of this study is to determine how energy transition patterns depend on economic variables in Asian economies, classifying based on their income level. To this end, we collected the related variables for 45 economies in Asia over the period 1993-2018 and conducted estimation using the generalized method of moments (GMM) approach. The major results revealed that economic growth has a positive relationship with the energy transition, while CO 2 emissions negatively influence energy transition. Furthermore, in both sub-sample groups (i.e., high and upper-middle-income and low and lower-middle-income groups) an increase in population lows the energy transition process. As an important recommendation, Asian economies with different income levels need different policies to improve and accelerate the energy transition movements. Especially in the developing and emerging economies that have higher economic growth rate and more energy demand, the governments need to implement various supportive policies for easing the access to electricity from green resources in line with the sustainable development goals (SDGs). This is more essential in the current low oil price era.

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Section: Gmm Findingssupporting

confidence: 85%

Section: Concluding Remarks and Policy Recommendationssupporting

confidence: 82%

Analyzing Energy Transition Patterns in Asia: Evidence From Countries With Different Income Levels

Taghizadeh–Hesary¹,

Rasoulinezhad²

2020

Front. Energy Res.

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“…The policy variable i comprises feed in tariffs and renewable purchase obligation (RPO), formulated and deployed to ensure the rapid uptake of wind energy capacity in Ghana. All these variables were selected based on their availability on previous works like Kilinc-ata ( 2016 ), Ogbe and Ogbe ( 2018 ), Thapar et al ( 2018 ), Kang, et al ( 2019 ), and Zhao et al ( 2020 ). The reduced form of the equation is given below: …”

Section: Methodsmentioning

confidence: 99%

Energy insecurity, pollution mitigation, and renewable energy integration: prospective of wind energy in Ghana

Sun

Khan

Bashir

et al. 2020

Environ Sci Pollut Res

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Wind energy is seen as an important energy to sustainably meet the energy needs of Ghana. However, the industry in Ghana is yet to take off due to policy uncertainty and regulatory costs. The paper analyzed the key determinants and how they interact to impact the scaling up of wind energy in Ghana, using time series data, the vector auto regression (VAR) model from 2013 to 2019.There were four endogenous variables, grouped under policy, population growth, wind capacity, and electrification rate. The findings revealed the dynamic behavior of the variables from the VAR to a strongly significant positive correlation to deploying wind energy in Ghana. The impulse response functions (IRFs) equally exhibited a positive impact long-run trajectory growth of the variables after a shock to the system. The response of the first lags had differences of log policy and that of the log of GDP produced a curious result from the shock by taking a steady positive growth path in the short run and nosedived to a negative pathway in the long run. On the other hand, the interaction of the first differences of the lags of log wind capacity and log policy is quite instructive, as the headwind produced a negative relationship in the short run and to a positive growth path in the long run. This was anticipated, as the wind capacity installation of Ghana is expected to increase in the long run, when pipeline projects materialize.

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“…The survey also found that candidate and future applicant countries for EU membership should support the production of renewable energy. In order to ascertain the dynamic interplay between CO 2 emissions, energy use by non-renewable sources (NRES), renewable sources (RES), and GDP growth, the authors of [73] performed the three-series probabilistic model of variability. The authors supported the literature by showing that stochastic RES and NRES volatility also seems to be U-shaped in the Indian economy.…”

Section: Literature Reviewmentioning

confidence: 99%

Green Energy, Economic Growth and Environmental Quality Nexus in Saudi Arabia

2021

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This article extends the previous studies on environmental economics literature by examining a possible relationship between economic growth, green energy, and environmental quality. Specifically, this article investigated the three-way linkage between economic growth, renewable energy, and environmental quality in the case of Saudi Arabia using the simultaneous equation modeling approach over the period of 1990–2016. The following are the main findings obtained: (i) a unidirectional causal impact of economic growth on renewable energy consumption was found, confirming the conservation hypothesis; (ii) bidirectional relationships between economic growth and CO2 emissions and between CO2 emissions and renewable energy consumption were also found; (iii) the failure of renewable energy in Saudi Arabia to close the gap between growing the economy and protecting the environment in Saudi Arabia; (iv) the environmental Kuznets curve (EKC) hypothesis was supported. Policy implications are also discussed.

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The dynamic relationships among CO2 emissions, renewable and non-renewable energy sources, and economic growth in India: Evidence from time-varying Bayesian VAR model

Cited by 105 publications

References 42 publications

Analyzing Energy Transition Patterns in Asia: Evidence From Countries With Different Income Levels

Analyzing Energy Transition Patterns in Asia: Evidence From Countries With Different Income Levels

Energy insecurity, pollution mitigation, and renewable energy integration: prospective of wind energy in Ghana

Green Energy, Economic Growth and Environmental Quality Nexus in Saudi Arabia

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