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A Spatial Analysis of an Effective Path for Low-carbon Development of Energy-intensive Industries by Bin Xu is a Environmental Science article available to read on EtoBox.

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Reducing the carbon intensity of the energy-intensive heavy industry is the key to achieving low-carbon development. The existing literature often ignore the important role of spatial effects, when investigating the heavy industry. The innovation of this paper is to incorporate important spatial geographic information into the analysis framework, and use the geographically weighted regression model to investigate the carbon intensity of the heavy industry in China. The findings display that: (1) environmental decentralization generates a greater impact in the eastern region, on account of the more investment in energy conservation and environmental protection. (2) The impact of urbanization on the carbon intensity in the central region is the most obvious, because this region invests more scientific and technological talents. (3) Green technology innovation contributes more to reducing carbon intensity in the central region, due to the faster growth of renewable energy patented technologies. (4) The industrial structure has little impact in the central and western regions, because their tertiary industry is underdeveloped. (5) The carbon intensity of the western region receives the

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Author

Bin Xu

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Environmental Science (Physical Sciences)