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Study on environmental performance evaluation of different linkage development types of the logistics and manufacturing industries considering the unexpected output

机译：考虑意外产出的物流制造业不同联系方式环境绩效评价研究

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摘要

According to the different organizational forms of logistics in manufacturing, the types of linkage development between the logistics and manufacturing industries include two different logistics service modes: logistics outsourcing and logistics self-operation. This study considers two manufacturing clusters for comparison: the northeast region in China, mainly state-owned and self-operated, and the Yangtze River Delta region in China, mainly focusing on logistics outsourcing services. First, we construct a parallel network system considering heterogeneity and an unexpected super-efficiency slacks-based measure: the Grey Relational Analysis model. Second, considering the unexpected output, this study evaluates the environmental performance of the linkage development of the logistics and manufacturing industries and explains the types of linkage development between them. Finally, the spatial and temporal characteristics of linkage efficiency under different linkage modes are studied using an exploratory spatial data analysis method. The research results show that the efficiency of the two-industry linkage in different linkage types that consider the unexpected output presents different development characteristics. Regarding time characteristics and trends, we compare the development efficiency of the two-industry linkage at the overall level of the northeast and the Yangtze River Delta regions from 2009 to 2016. The Yangtze River Delta region showed a higher state of linkage while the northeast region showed a medium linkage state. Regarding spatial pattern evolution, the effect of the technical efficiency of the linkage between the two industries in the three northeastern provinces showed continuous evolution from the medium linkage stage to the weak linkage stage, and the Yangtze River Delta showed continuous evolution from the medium linkage to the strong linkage stage. Implications: Due to data availability, references to the relevant achievements of the research on the linkage between the manufacturing and logistics industries, the transportation industry, warehousing, and postal and telecommunications industry data are generally used as logistics industry data. Manufacturing data are replaced by industrial data. The manufacturing industry is the core industry of industrial systems. Its output value accounts for more than 90% of the industrial output. Thus, it can reflect the development trend of the manufacturing industry in general.
机译：根据制造业的不同组织形式，物流与制造业之间的联系发展类型包括两种不同的物流服务模式：物流外包和物流自动运行。本研究考虑了两种制造集群，以进行比较：中国东北地区主要是国有和自动运营的，以及中国的长江三角洲地区，主要关注物流外包服务。首先，我们构建考虑异质性的并行网络系统和基于意外的超级效率的节省量度：灰色关系分析模型。其次，考虑到意外的产出，本研究评估了物流和制造业联系开发的环境绩效，并解释了它们之间的联动发展类型。最后，使用探索性空间数据分析方法研究了不同连杆模式下连锁效率的空间和时间特征。研究结果表明，两种行业联系在不同联系类型中的效率认为意外输出具有不同的发展特征。关于时间特征和趋势，我们从2009年到2016年比较了东北和长三角地区的两国总体衔接的发展效率。长江三角洲地区在东北地区展示了更高的联动状态显示中际联动状态。关于空间模式演变，三个东北省三个产业之间联动技术效率的效果表现出从中挂阶段到弱连杆阶段的连续演变，长江三角洲从培养基中显示出持续的进化强烈的联系阶段。含义：由于数据可用性，提及制造业和物流业之间联动关系的相关成果，运输业，仓储和邮政和电信行业数据一般用作物流行业数据。制造数据由工业数据替换。制造业是工业系统的核心产业。其产值超过了工业产出的90％以上。因此，它可以反映制造业的发展趋势一般。

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  • 来源
    《Journal of the Air & Waste Management Association》 |2021年第8期|1025-1038|共14页
  • 作者

    Wen-Long Zheng; Jian-Wei Wang; An-Ding Jiang; Syed Abdul Rehman Khan; Xu-Quan Yang; Xin Zhang; Ze-Yu Zhang;

  • 作者单位

    School of Economics and Management Chang'an University Xi'an People's Republic of China;

    School of Economics and Management Chang'an University Xi'an People's Republic of China;

    Department of Low Carbon Research Center Shaanxi Provincial Academy of Environmental Science Xi'an People's Republic of China;

    School of Economics and Management Tsinghua University Beijing People's Republic of China;

    Department of Geotechnical Laboratory Baoji Geotechnical Investigation & Surveying Institute Baoji People's Republic of China;

    Department of Marketing Xi'an Branch of Aerospace Science and Engineering System Simulation Technology (Beijing) Co. Ltd Xi'an People's Republic of China;

    Key Laboratory of Road Construction Technology and Equipment Ministry of Education Chang'an University Xi'an People's Republic of China;

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