Industrial CO2 intensity, indigenous innovation and R&D spillovers in China’s provinces
By Yuan Yang, W. Cai, C. Wang. 2014
152 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/32aa1b0867fe911fa24c65d57167ec0e89292da9
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In Economics and Econometrics
Citations in the corpus
- The effect of technological factors on China's carbon intensity: New evidence from a panel threshold model (2018, background): “…and trade that may enhance the environmental quality were identified by existing studies (e.g., Ang, 2009; Perkins and Neumayer, 2011; Guo et al., 2012; Ren et al., 2014; Yang et al., 2014; Seker et al., 2015; Shao et al., 2016; Liu et al., 2017; Behera and Dash, 2017; Huang et al., 2017a, 2017b).”
- Industrial structure, technological progress and CO2 emissions in China: Analysis based on the STIRPAT framework (2017, methodology): “Carbon emissions have a spatial spillover effect (Yang et al. 2014).”
- Spatial econometric analysis of China’s province-level industrial carbon productivity and its influencing factors (2016, background): “[15] analyzed the effects of different technological factors on industrial CO2 intensity, including R&D activity, spillovers through increasing openness, and interregional R&D spillovers.”