Business School, Zhengzhou University, Zhengzhou 450001, China.
Int J Environ Res Public Health. 2022 Mar 31;19(7):4185. doi: 10.3390/ijerph19074185.
The Yellow River Economic Belt (YREB) performs an essential function in the low-carbon development of China as an important ecological protection barrier, and it is of great importance to identify its spatio-temporal heterogeneity and key influencing factors. In this study, we propose a comprehensively empirical framework to conduct this issue. The STIRPAT model was applied to determine the influencing factors of carbon emissions in the YREB from 2006 to 2019. The results show that the carbon emissions in the YREB had significant clustering characteristics in the spatial auto-correlation analysis. In addition, the estimation results of the spatial panel analysis demonstrate that the carbon emissions showed a distinct spatial lag effect and temporal lag effect. Moreover, the three traditional factors including population, affluence, technology are identified as the key influencing factors of carbon emissions in the YREB of China. Furthermore, the spatio-temporal heterogeneity is illustrated vividly by employing the GTWR-STIRPAT model. Finally, policy implications are provided to respond to the demand for low-carbon development.
黄河流域经济带（YREB）作为中国重要的生态保护屏障，在低碳发展中发挥着重要作用，因此，识别其时空异质性和关键影响因素具有重要意义。本研究提出了一个综合的实证框架来解决这一问题。应用 STIRPAT 模型来确定 2006 年至 2019 年黄河流域经济带的碳排放影响因素。结果表明，在空间自相关分析中，黄河流域经济带的碳排放具有显著的聚类特征。此外，空间面板分析的估计结果表明，碳排放表现出明显的空间滞后效应和时间滞后效应。此外，人口、富裕程度和技术这三个传统因素被确定为中国黄河流域经济带碳排放的关键影响因素。此外，通过使用 GTWR-STIRPAT 模型生动地说明了时空异质性。最后，提出了政策建议，以应对低碳发展的需求。
