Structural Vector Auto Regression Analysis of the Dynamic Effects of Shocks in Renewable Electricity Generation on Economic Output and Carbon Dioxide Emissions: China, India and Japan

Olugbenga Onafowora (onafowor@susqu.edu) and Oluwole Owoye
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Oluwole Owoye: Department of Social Sciences/Economics, Western Connecticut State University, Danbury, CT 06810, USA.

International Journal of Energy Economics and Policy, 2015, vol. 5, issue 4, 1022-1032

Abstract: This paper investigates effects of shocks in the share of renewable electricity in total electricity generation on real output growth and carbon dioxide (CO2) emissions in China, Japan and India from 1970 to 2011 using structural vector auto regression analysis. These economies are assumed to face exogenous correlated random shocks in the share of renewable electricity in total electricity generation (RT). The substantiality of the shocks impact on real output growth and CO2 emissions were examined using impulse responses and variance decompositions (VDC). The impulse responses show that positive shock in RT positively affects real output growth and reduces CO2 emissions. Shocks in RT have long-lived impacts, but all countries show stability signs and absorb RT shocks with some delays. VDCs analysis corroborates the findings of impulse responses. These research findings support governmental initiatives that reduce CO2 emissions through renewable power generation and ensure sustained economic growth.

Keywords: Renewable Electricity; Carbon Dioxide Emissions; Economic Growth (search for similar items in EconPapers)
JEL-codes: O13 Q42 Q43 Q5 Q56 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (5)

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