Exploring the effective way of reducing carbon intensity in the heavy industry using a semiparametric econometric approach
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DOI: 10.1016/j.energy.2021.123066
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- Bin Xu, 2022. "How to Efficiently Reduce the Carbon Intensity of the Heavy Industry in China? Using Quantile Regression Approach," IJERPH, MDPI, vol. 19(19), pages 1-24, October.
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- Chen, Shanshan & Zhang, Ruchuan & Li, Peiwen & Li, Aijun, 2023. "How to improve the performance of China's energy-transport-economy-environment system: An analysis based on new strategy parallel-series input-output data envelopment analysis models," Energy, Elsevier, vol. 281(C).
- Mingjuan Ma & Shuifa Ke & Qiang Li & Yaqi Wu, 2023. "Towards Carbon Neutrality: A Comprehensive Analysis on Total Factor Carbon Productivity of the Yellow River Basin, China," Sustainability, MDPI, vol. 15(8), pages 1-23, April.
- Zhang, Weike & Fan, Hongxia & Zhao, Qiwei, 2023. "Seeing green: How does digital infrastructure affect carbon emission intensity?," Energy Economics, Elsevier, vol. 127(PB).
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Keywords
Driving factors; Carbon intensity; The heavy industry; Semi-parametric regression model;All these keywords.
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