Resource abundance, industrial structure, and regional carbon emissions efficiency in China
By Keying Wang, Meng Wu, Yongping Sun, Xunpeng Shi, Ao Sun, Ping Zhang. Resources policy, 2019
444 citations recorded by the source corpus.
Abstract With increasing concerns over climate change and the global consensus regarding low carbon growth, the transition of resource-based regions has become urgent and challenging. We employ a Slacks-Based Measure with windows analysis approach to estimate the carbon emissions efficiency and abatement potential of China's provinces over the period of 2003–2016. A panel Tobit model is further employed to analyze the direct and indirect effects of natural resource abundance on emissions efficiency. We find that: (1) There exists a negative correlation between resource abundance and carbon emissions efficiency. The more abundant the resources, the lower the emissions efficiency. (2) Although emissions efficiency and abatement potential are generally negatively correlated, abatement potential also depends on the scale of the economy. (3) Resource dependence is unfavourable for the rationalization and advancement of the industrial structure, which indirectly affects the carbon emissions efficiency. These findings imply that resource-based regions should make the improvement of emissions efficiency and the exploration of abatement potential as their top priority of actions for a low-carbon transition, and promote the transformation of industrial structure in order to obtain a double dividend in sustainable development and carbon emissions efficiency.
Subfields: Economics and Econometrics, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/ede039b0efdeefd66156ad3a117d7994c8aca36e
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Citations in the corpus
- The effects of behavioral intention on the choice to purchase energy-saving appliances in China: the role of environmental attitude, concern, and perceived psychological benefits in shaping intention (2019, background): “A national emission trading scheme was launched in late 2017 (Sun et al. 2019), and significant efforts have been made to restructure the economy and upgrade technologies (Wang et al. 2019; Li et al. 2019).”
- The Link between Economic Complexity and Carbon Emissions in the European Union Countries: A Model Based on the Environmental Kuznets Curve (EKC) Approach (2019, unknown): “…by higher energy demand and energy intensity in manufacture and industrial sectors, the paper’s results are validated by the studies of and Wang et al., 2019 [39] and Li et al., 2019 [40], demonstrating that the manufacturing and industrial structure rationalisation and upgrading can…”
- Economic policy uncertainty (EPU) and firm carbon emissions: Evidence using a China provincial EPU index (2020, background): “As e - there are significant regional heterogeneities in China’s energy use, the regional heterogeneities are essential to understanding China’s emission factor (Sheng et al., 2014; Shi et al., 2020, 2018) and emissions (Li et al., 2019; Wang et al., 2019).”