Journal
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
Volume 33, Issue -, Pages 1-10Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.rser.2014.01.060
Keywords
CO2 emissions intensity; Spatial panel data models; China
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This study offers a unique contribution to the literature by investigating the influential factors of energy-related, carbon dioxide emission intensity among a panel of 30 provinces in China covering the period 1991-2010. We use novel spatial panel data models to analyze the drivers of energy-related emission intensity, which we posit are characterized by spatial dependence. Our results suggest (1) emission intensities are negatively affected by per-capita, province-level GDP and population density; (2) emission intensities are positively affected by the structure of energy consumption and the transportation sector; and, (3) energy prices have no effect on emission intensities. (C) 2014 Elsevier Ltd. All rights reserved.
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