School of Economics and Management, Taiyuan University of Technology

基于新时期“双碳”目标,对黄河流域能源生态效率的时空演变规律进行研究。测算中考虑到清洁化能源的影响,构造非径向方向性距离函数,结合非期望产出SBM超效率模型,测算黄河流域8个省(区)及55个地级市的能源生态效率,并分析节能减排路径。研究发现:黄河流域能源生态效率在研究期内呈现多阶段时序变化特点。流域内空间集聚现象显著,低-低集聚数量最多,分布在上游地区;低-高集聚和高-高集聚次之,分布在中游和下游的山东省。用二维矩阵图将55个地级市划分为A、B、C区域,其中C区域表现最好,A、B两个区域可采取双边或单边的节能减排路径向C区域过渡。据此,测算黄河流域节能减排潜力,并提出针对性建议。

Based on the goal of “double carbon” in the new era, the spatial-temporal evolution of energy eco-efficiency in the YellowRiver Basin was studied. This research constructed a non - radial directional distance function taking into account the impact of cleanenergy, estimated the energy eco-efficiency of 8 provinces and 55 prefecture-level cities in the Yellow River Basin combining with theSBM super-efficiency model of non-expected output, analyzed the path of energy-saving and emission-reduction. The results find that:the energy eco- efficiency of the Yellow River Basin shows a multi - stage time - series change during the study period; the spatialagglomeration phenomenon in the watershed is significant, and the low-low agglomeration is the largest, distributing in the upper reaches,followed by low - high agglomeration and high - high agglomeration, distributing in the middle reaches and downstream ShandongProvince. Based on this, the energy-saving and emission-reduction potential of the Yellow River Basin is calculated to put forward targetedsuggestions, and the 55 prefecture-level cities are divided into A, B, and C areas by using a two-dimensional matrix map. Among them,the C area performs the best, and the A and B areas could adopt a bilateral or unilateral energy-saving and emission-reduction path totransition to C area.

2022年度山西省高等学校科技创新计划资助项目(2022W006)

0 引言
1 研究设计
1.1 研究区概况
1.2 指标选取与数据来源
1.3 研究方法
1.3.1 非期望产出超效率SBM模型
1.3.2 非径向方向性距离函数(NDDF)
1.3.3 曼奎斯特-伦伯格生产率(ML)指数
1.3.4 全局空间自相关和局部空间自相关
2 黄河流域能源生态效率的时空演变
3 能源生态效率的空间关联演变
3.1 全局空间关联性
3.2 局部空间格局演变
4 节能减排潜力与提升路径分析
4.1 节能减排潜力
4.2 节能减排路径
5 结论