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

被引：84
|
作者：
Kang, Sang Hoon [1 ,2 ]
Islam, Faridul [3 ]
Tiwari, Aviral Kumar [4 ]
机构：
[1] Pusan Natl Univ, Dept Business Adm, Busan 609735, South Korea
[2] Univ South Australia, Sch Commerce, Adelaide, SA, Australia
[3] Morgan State Univ, Dept Econ, 1700 Cold Spring Lane, Baltimore, MD 20251 USA
[4] Montpellier Business Sch, Montpellier Res Management, 230 Ave Moulins, F-34080 Montpellier, France
来源：
STRUCTURAL CHANGE AND ECONOMIC DYNAMICS | 2019年 / 50卷
基金：
新加坡国家研究基金会;
关键词：
Renewable and non-renewable energy; CO2; emission; Economic growth; TVP-VAR model; Stochastic volatility; India; VECTOR AUTOREGRESSIONS; STOCHASTIC VOLATILITY; CAUSAL RELATIONSHIP; CONSUMPTION; GDP; INFERENCE; OUTPUT; CURVE;
D O I：
10.1016/j.strueco.2019.05.006
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
We apply a three-variable VAR model with probabilistic variability using a time-varying parametric approach to determine the dynamic interactions among GDP growth, energy use by renewable energy sources (RES, wind, solar, or hydro) and non-renewable energy sources (NRES, hydroelectric or coal) and CO2 emission. Further, we characterize and quantify the impact of the nexus on the CO2 emissions, energy sources (RES and NRES) vis-a-vis India's economic growth and fluctuations during 1965Q1-2015Q4. We contribute to the literature by finding that stochastic volatility for RES and NRES appear to be U-shaped besides using TVP-VAR model to the Indian context. This U-shaped pattern seems to be related to economic growth. We also observe the time-varying patterns of the impact transmission mechanisms among energy sources, CO2 emissions, and GDP. In addition, the impulse response of GDP from a positive shock to CO2 varies with the type of energy use in different time horizons. (C) 2019 Elsevier B.V. All rights reserved.
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页码：90 / 101
页数：12
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