“双碳”目标下黄河流域城市绿色发展效率测度及提升路径
收稿日期: 2023-07-17
修回日期: 2023-08-03
网络出版日期: 2024-03-29
基金资助
国家社会科学基金后期资助项目(21FGLB070);湖南省自然科学基金项目(2022JJ30387);湖南省国内一流培育学科建设项目(5010002)
Measurement and improvement path of urban green development efficiency in the Yellow River Basin under the “carbon peaking and carbon neutrality” targets
Received date: 2023-07-17
Revised date: 2023-08-03
Online published: 2024-03-29
研判城市绿色发展效率及其优化路径，是推进黄河流域高质量发展的关键环节，亦是践行“碳达峰、碳中和”战略目标的重要方略。利用EBM-GML模型测算2005—2020年黄河流域58个城市的绿色发展效率，依次采用HP滤波分析、时空交互方法勾勒其演化特征，并对其多元提升路径进行定量识别。结果表明：（1） 研究期内黄河流域城市绿色发展效率呈增长态势，由2005年的0.509提升至2020年的0.651，相继经历“波动—提升—共生”3个阶段，区域内部非均衡性特征显著。（2） 黄河流域城市绿色发展效率局部空间结构具有良好的稳健性，空间移动方向波动性较强，城际空间协作程度大于空间竞争。（3） 模糊集定性比较分析（fsQCA）结果表明，存在经济驱动型、双元驱动型、资源整合型、全面提升型4条优化路径，经济发展、科技创新等因素为必要条件。
石彩霞 , 贺小荣 . “双碳”目标下黄河流域城市绿色发展效率测度及提升路径[J]. 干旱区地理, 2024 , 47(3) : 528 -538 . DOI: 10.12118/j.issn.1000-6060.2023.371
Studying and assessing the efficiency of urban green development and delineating its optimization path constitute a key aspect in promoting high-quality development within the Yellow River Basin of China. This endeavor also aligns with the important strategy of realizing the strategic goal of “carbon peak and carbon neutrality”. The EBM-GML model was used to calculate the urban green development efficiency of 58 cities in the Yellow River Basin from 2005 to 2020. The evolution characteristics of the study area were outlined through HP filter analysis and spatiotemporal interaction methods, quantitatively identifying multiple lifting paths. The results show the following facts: (1) During the study period, urban green development efficiency in the Yellow River Basin increased from 0.509 in 2005 to 0.651 in 2020, traversing three successive stages of “fluctuation-improvement-symbiosis”. Notably, the characteristics of intraregional imbalance were remarkable. (2) The local spatial structure of green development efficiency in the Yellow River Basin is robust, with a highly variable spatial movement direction. Additionally, the degree of spatial collaboration in green development efficiency among cities is greater than that of spatial competition. (3) The fsQCA result shows four optimization paths: economic-driven, dual-driven, resource integration, and comprehensive improvement. Economic development and scientific and technological innovation are indispensable prerequisites for achieving these goals.
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