Abstract
It is important and practical to search for an effective way to reduce the energy consumption and pollution emission. This paper structures a spatial econometric model of the panel for the identification of spatial effect on provincial carbon intensity and energy intensity, in turn to discuss the mutual positive influences between the areas. According to the empirical study, there exists significant positive mutual influence and convergence between provincial carbon intensity and energy intensity. The provincial level of the indicators also converges to country’s average level in a picture of “boats rising with the tide”. Additionally, provincial indicators only respond selectively to the domestic economic growth and sometimes even show a passive manner.
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Huang, L., Liu, M. (2015). The Spatial Effect Identification of Regional Carbon Intensity and Energy Consumption Intensity of China. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2014. Communications in Computer and Information Science, vol 482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45737-5_38
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DOI: https://doi.org/10.1007/978-3-662-45737-5_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45736-8
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