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2019 年习近平总书记主持召开了黄河流域生态保护和高质量发展座谈会， 此次会议不仅强调了黄河流域在我国经济社会发展和生态安全方面的重要地位， 也把黄河流域生态环境保护和经济高质量发展战略上升为重大国家战略。此后， 2021 年中共中央、国务院印发了《黄河流域生态保护和高质量发展规划纲要》 进一步强调了黄河流域生态保护和高质量发展战略的重要性；2022 生态环境部 联合多部委共同印发了《黄河流域生态环境保护规划》，《规划》在进一步明确 黄河流域生态环境保护的重点任务的同时，也分别提出 2030 年、2035 年和本世 纪中叶生态环境保护目标。在此背景下，探究研究区域内两大系统间的耦合协调水平及其影响因素，成为当前必须回答和解决的战略性问题。

本文以黄河流域 71 个地级市作为研究对象，收集整理研究区域内各地级市 从 2011 年到 2020 年十年的可获取数据，首先通过熵值法测度各项指标权重的综 合评价指数并进行分析，然后对两大系统之间的耦合协调水平进行了度量和分析，最后采用空间计量模型分析耦合协调关系的影响因素。

基于上述研究得出以下结论：（1）2011—2020 年研究区域内各地市的生态 环境保护系统和经济高质量发展系统的综合评价指数整体呈现上升趋势。从不同 流域来看，下游的状况普遍优于上游和中游。（2）2011—2020 年研究区域内各 地市的耦合协调水平在不断提高，2016 年大多数地市基本达到了勉强耦合协调 阶段，但实现的耦合协调度水平也仅仅处于勉强耦合或者初级耦合阶段。就各流 域而言，虽然各流域耦合协调发展水平呈现上升的态势，但是下游的耦合协调水 平高于中游和上游。（3）研究区域内各地市两大系统之间的耦合协调水平不仅受到本地因素的影响，还会受到相邻和相近地区因素或正或负的影响。

The symposium on ecological protection and high-quality development of the Yellow River Basin held in 2019 not only emphasized the important position of the Yellow River Basin in China's economic and social development and ecological security, but also upgraded the ecological environment protection and high-quality economic development strategy of the Yellow River Basin into a major national strategy. Since then, in 2021, the CPC Central Committee and the State Council issued the "Outline of the Yellow River Basin Ecological Protection and High Quality Development Plan", which further emphasized the importance of the Yellow River Basin ecological protection and high quality development strategy; In 2022, the Ministry of Ecology and Environment jointly issued the "Ecological and Environmental Protection Plan for the Yellow River Basin", which further clarified the key tasks of ecological and environmental protection in the Yellow River Basin, and also proposed ecological and environmental protection goals for 2030, 2035, and the middle of this century. In this context, exploring the level of coupling and coordination between the two systems in the research area and their influencing factors has become a strategic issue that must be answered and resolved at present.

In such a context, the 71 prefecture-level cities along the Reaches are selected as the research object for analysis as follows. Collects andsorts out the available data of each prefecture-level city in the research area from 2011 to 2020, measures and analyzes the comprehensive evaluation index of each indicator weight using entropy method, uses the coupling coordination degree model to measure and analyze the coupling coordination level between the two systems, and finally uses spatial econometric models to analyze the influencing factors of the coupling coordination relationship.Firstly, based on the coupling action mechanism of ecological and environmental protection as well as high-quality economic development, the status quo of the Reaches high-quality development in economy is combined to construct two evaluation index systems of ecological and environmental protection and high-quality economic development.

The conclusions turned out from the above research are stated below. (1) The comprehensive evaluation indexes of the ecological and environmental protection as well as high-quality economic development of the prefecture-level cities in the study area from 2011 to 2020 present a rising trend as a whole. Seeing from different reaches, the conditions of the downstream are commonly better than those of the upstream and midstream. (2) During 2011-2020, the coupling coordination level of the prefecture-level cities studied is constantly enhancing. In 2016, most cities basically reached the barely coupling stage but with a level only at barely coupling or primary coupling. Meanwhile, in terms of the variousreaches, although the coupling coordinative development level of each reach presents a rising trend, the level of the downstream is higher than those of the midstream and upstream.(3)The coupling coordination level of the ecological and environmental protection as well as high-quality economic development of the prefecture-level cities in the study area is not only under the influence of local factors but under the positive or negative influence of of factors of neighboring and adjacent areas.