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DOI | 10.1016/j.accre.2022.01.004 |
Dynamic changes and convergence of China's regional green productivity: A dynamic spatial econometric analysis | |
Zhai, Xu-Quan; Xue, Rui; He, Bin; Yang, Dong; Pei, Xiang-Yu; Li, Xian; Shan, Yuli | |
发表日期 | 2022 |
ISSN | 1674-9278 |
起始页码 | 266 |
结束页码 | 278 |
卷号 | 13期号:2页码:13 |
英文摘要 | Low-carbon economic development is at the heart of the post-pandemic green recovery scheme worldwide. It requires economic recovery without compromising on the environment, implying a critical role that green productivity plays in achieving the carbon neutrality goal. Green productivity measures the quality of economic growth with consideration for energy consumption and environmental pollution. This study employs the slacks-based measure directional distance function (SBM-DDF) approach and the Malmquist-Luenberger (ML) index to calculate green productivity and its components of 30 provinces in China between 2001 and 2018. Using a spatial panel data model, we empirically analyzed the conditional beta-convergence of China's green productivity. We found that overall, since 2001, China's green productivity has demonstrated a continuous upward trend. When taking into account spatial factors, China's green productivity demonstrates a significant conditional beta-convergence. In terms of regional effects, the results indicate that the green productivity of the eastern and western regions demonstrates club convergence, implying a more balanced green economic development. Moreover, the convergence rate of China's green productivity increases with the addition of environmental regulation variable, and so the corresponding convergence time decreases. It indicates that environmental regulations help to facilitate the convergence of China's green productivity, narrowing the gap between the regional green economic development. The findings provide guideline for achieving a low-carbon development and carbon neutrality from a regional green productivity perspective. |
英文关键词 | Green productivity; Slacks-based measure of directional distance function (SBM-DDF); Malmquist-Luenberger (ML) index; Conditional beta-convergence; Spatial econometrics; Carbon neutrality |
学科领域 | Environmental Sciences; Meteorology & Atmospheric Sciences |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
WOS记录号 | WOS:000777105900013 |
来源期刊 | ADVANCES IN CLIMATE CHANGE RESEARCH |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/273951 |
作者单位 | Zhejiang University; Macquarie University; Jilin University; Southwestern University of Finance & Economics - China; Jilin University; Donghua University; University of Groningen |
推荐引用方式 GB/T 7714 | Zhai, Xu-Quan,Xue, Rui,He, Bin,et al. Dynamic changes and convergence of China's regional green productivity: A dynamic spatial econometric analysis[J],2022,13(2):13. |
APA | Zhai, Xu-Quan.,Xue, Rui.,He, Bin.,Yang, Dong.,Pei, Xiang-Yu.,...&Shan, Yuli.(2022).Dynamic changes and convergence of China's regional green productivity: A dynamic spatial econometric analysis.ADVANCES IN CLIMATE CHANGE RESEARCH,13(2),13. |
MLA | Zhai, Xu-Quan,et al."Dynamic changes and convergence of China's regional green productivity: A dynamic spatial econometric analysis".ADVANCES IN CLIMATE CHANGE RESEARCH 13.2(2022):13. |
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