Abstract
This study estimates the carbon emission intensity of China’s provinces during the period from 2000 to 2015. First, the temporal and spatial pattern evolution of China’s carbon emission intensity was analyzed using spatial statistics. Then, from an innovation-driven perspective, combining the data of innovative technologies and scale factors to construct a spatial panel model to explore the main influencing factors of carbon emission intensity and its spatial spillover effect. The results show that: China’s provincial carbon emission intensity has obvious spatial agglomeration characteristics, and regional differences are improving, and the spatial spillover effect of some influencing factors is obvious; innovation indicators such as the number of patent authorizations, technical market turnover, and foreign direct investment, and GDP have a significant negative impact on carbon intensity, and the effects of general scale variables such as urbanization rate, energy consumption, and population density on carbon intensity are significantly positive.
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Funding
The authors thank the support of the National Social Science Fund of China; the project number is 16BJL076 (Research on the impact of carbon trading on China’s regional economic development from the perspective of spatial and temporal differentiation).
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Liang, S., Zhao, J., He, S. et al. Spatial econometric analysis of carbon emission intensity in Chinese provinces from the perspective of innovation-driven. Environ Sci Pollut Res 26, 13878–13895 (2019). https://doi.org/10.1007/s11356-019-04131-3
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DOI: https://doi.org/10.1007/s11356-019-04131-3