<p>2023年2月以&ldquo;碳中和区域发展&rdquo;为主题的碳中和、碳达峰高峰论坛成功举行，各学界、政府等一致认为绿色化区域协同发展是当下经济社会高质量发展的必由之路，绿色发展已然成为发展趋势。随着物流产业的快速发展，物流业已经服务于人们生产生活的方方面面，已经成为人们日常生活不可或缺的一部分。但是物流业属于典型的高能耗、高污染、高排放产业，想要实现绿色、可持续发展，促进物流产业低碳转型升级势在必行。黄河是我国最重要的内陆河之一，连接我国东、中、西部地区，其发展已经同京津冀、粤澳港等的发展一样受到国家重视，而物流业能为区域经济良好发展奠定物资流通根基。因此本文以黄河流域为研究对象，分析黄河流域物流产业低碳化发展的现状，为黄河流域物流产业低碳化发展提供科学理论依据，来推动黄河流域整体健康、绿色发展。</p> <p>首先，本文搜集整理了2010-2019年黄河流域沿线九省份物流效率相关数据，通过阅读大量文献，选取合适的投入和产出指标建立指标评价体系。其次，本文运用Pearson相关系数衡量投入和产出指标的相关性，进行物流空间效率分析，然后运用三阶段DEA模型对黄河流域沿线九省份的低碳物流效率进行测度，探讨环境因素和随机干扰对效率值的影响，并运用ArcGIS软件绘制了随时间变化的效率地图，依此分析观察期内物流效率的时空演化特征，接着建立空间散点坐标图，将黄河流域沿线九省份进行空间分类，最后运用空间自相关分析法对黄河流域低碳物流效率的空间效应特征进行分析。</p> <p>研究发现，观察期内黄河流域低碳物流效率整体偏低，但呈现逐年稳步上升的趋势，限制黄河流域低碳物流效率值整体偏低的主要因素是技术；地区GDP的增加并不能提高低碳物流效率，反而从一定程度上会增加二氧化碳排放量，而社会消费品零售总额和科技水平能从一定程度上拉动消费生产，减少投入资源冗余，增加产出，提高利用率；在不考虑二氧化碳排放量等环境变量因素下，测算出的效率值往往高估于实际情况；高效率值的省份主要位于黄河下游，在东部存在连片现象，低效率值省份主要聚集在黄河上游的西部地区，总体来说东西部物流效率差异显著。</p>

<p>In February 2023, the Carbon Neutrality and Carbon Peak Summit Forum with the theme of &quot;Carbon Neutral Regional Development&quot; was successfully held, the digital carbon neutral regional development with the theme of &quot;Green low-carbon, digital life&quot; brings together professionals and brings together their thoughts. Logistics industry is an important circulating industry in our country, improving logistics efficiency is an important way to achieve the goal of &quot;double carbon&quot; and sustainable economic development.&nbsp;Due to the large amount of pollutants produced in the production process, the logistics industry ranks third in energy consumption after industry and manufacturing, according to the&nbsp;data, which is not satisfied with long-term economic development.&nbsp;As one of the most important inland rivers in China,&nbsp;it is an important river transport to promote the circulation of materials, so&nbsp;many policies have been issued to arouse attention, which has been attached great importance by the country. The logistics industry can stimulate consumption and production and improve regional economic vitality. Driven by the goal of &quot;dual carbon&quot;, this paper analyzes the temporal and spatial changes of logistics efficiency from the global and local perspectives, and according to the research results, provides academic basis and valuable suggestions.</p> <p>First of all, this paper collected relevant data including energy consumption and the number of people employed in the logistics industry through the statistical yearbook data of each province. Secondly, this paper uses Pearson correlation coefficient to judge whether the premise of the model is satisfied, the efficiency value of each stage is measured and compared of nine provinces in three stages, the influence of environmental exogenous <font color='red'>variable</font>s on input value was analyzed, and uses ArcGIS software to draw a time-varying efficiency map, according to which the spatiotemporal evolution characteristics of logistics efficiency during the observation period are analyzed. With ox axis as pure technical efficiency, oy axis as scale efficiency and oz axis as comprehensive efficiency, a three-dimensional spatial scatter coordinate graph was established. Finally, exploratory data analysis was used to analyze the spatial structure effects of nine provinces from the perspective of the whole and the local.</p> <p>The study found that During the observation period, the average low-carbon logistics efficiency in the Yellow River Basin was 0.571, which was low overall, but showed a steady upward trend year by year, and the main factor limiting the overall low low-carbon logistics efficiency value in the Yellow River Basin was technology; the increase of regional GDP could not improve the efficiency of low-carbon logistics, but it will increase the production of greenhouse gases, while the total retail sales of consumer goods and the level of science and technology could drive consumption production to a certain extent, reduce the redundancy of input resources, increase output, and improve utilization; without considering environmental <font color='red'>variable</font>s such as carbon dioxide emissions, the measured efficiency values were often overestimated from the actual situation; the provinces with high efficiency values were mainly located in the east, there is a continuous phenomenon. In general, the logistics efficiency difference between the east and west is significant.</p>

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