越览（113）——精读博士论文的摘要

摘要：This issue of tweets will introduce the abstract of the doctoral thesis "Research on Industrial Chain Resilience from the Perspect

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“越览（113）——精读博士论文

《供应链网络结构视角下的产业链韧性研究》

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Dear you, this is LearningYard Academy!

Today, the editor brings youthe abstract

of "Yuelan (113) —— Intensive reading of

the doctoral dissertation

"Research on the resilience of

the industrial chain from the perspective of

supply chain network structure"".

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一、内容摘要（Summary of content）

本期推文将从思维导图、精读内容、知识补充三个方面介绍博士论文《供应链网络结构视角下的产业链韧性研究》的摘要。

This issue of tweets will introduce the abstract of the doctoral thesis "Research on Industrial Chain Resilience from the Perspective of Supply Chain Network Structure" from three aspects: mind mapping, intensive reading content, and knowledge supplement.

二、思维导图（Mind mapping）

三、精读内容（Intensive reading content）

（一）研究背景及目标（Research background and objectives）

本篇博士论文的摘要，首先介绍了论文的研究背景：全球贸易保护主义、新冠疫情和地缘冲突等因素加剧了产业链供应链的不稳定性，暴露出我国部分产业链韧性不足的问题，尤其是汽车产业链面临供应链中断的严峻挑战。提升产业链韧性已成为国家战略重点，但现有研究主要关注企业层面，对产业链韧性的研究较少。

The abstract of this doctoral dissertation first introduces the research background of the dissertation: factors such as global trade protectionism, the COVID-19 pandemic, and geopolitical conflicts have exacerbated the instability of industrial chain supply chains, exposing the problem of insufficient resilience of some industrial chains in my country, especially the severe challenge of supply chain disruption faced by the automotive industry chain. Improving the resilience of the industrial chain has become a national strategic priority, but existing research mainly focuses on the enterprise level, and there is little research on the resilience of the industrial chain.

然后，介绍了本文的研究目标：本文基于供应链网络结构视角，研究中国汽车产业链韧性问题，旨在刻画产业供应链网络特征，识别关键企业，并分析疫情前后网络结构的变化趋势。

Then, the research objectives of this paper are introduced: Based on the perspective of supply chain network structure, this paper studies the resilience of China's automotive industry chain, aiming to characterize the characteristics of the industrial supply chain network, identify key enterprises, and analyze the changing trends of the network structure before and after the epidemic.

（二）研究内容（Research content）

在介绍完本文的研究背景及目标之后，摘要后续内容，介绍了每一章节的研究内容。

After introducing the research background and objectives of this paper, the subsequent content is summarized and the research content of each chapter is introduced.

首先介绍了突发事件前后汽车产业供应链网络特征分析。内容指出，国产汽车企业正在崛起，但部分国外企业仍掌控核心资源。通过供应链网络分析发现，佛吉亚、博世、德国大陆集团等国外企业在产业链中占据重要位置。

First, the paper introduces the characteristics of the automotive industry supply chain network before and after the emergency. The paper points out that domestic automobile companies are rising, but some foreign companies still control core resources. Through the supply chain network analysis, it is found that foreign companies such as Faurecia, Bosch, and Continental AG occupy an important position in the industrial chain.

接着介绍了随机与目标中断下供应链网络韧性研究。究发现，在供应链中断情况下，高点度中心性和介数中心性的企业对供应链韧性至关重要，不同中断方式对供应链的影响有所不同。此外，基于节点度数、效率和重要性进行重构的供应链网络，在韧性指标上优于随机网络和无标度网络，为应对不可预测的供应链中断提供了一种折衷策略。

Then, the research on supply chain network resilience under random and targeted disruptions was introduced. The study found that in the case of supply chain disruptions, enterprises with high vertex centrality and betweenness centrality are crucial to supply chain resilience, and different disruption modes have different impacts on the supply chain. In addition, the supply chain network reconstructed based on node degree, efficiency, and importance is superior to random networks and scale-free networks in terms of resilience indicators, providing a compromise strategy for coping with unpredictable supply chain disruptions.

最后，介绍了供应链网络结构对企业韧性的影响研究。提出不同企业应采取差异化发展战略。研究表明，点度中心性、介数中心性等网络特征能显著提升企业绩效韧性和运营韧性，说明企业在供应链网络中的中心地位及资源掌控能力对韧性至关重要。

Finally, the study on the impact of supply chain network structure on enterprise resilience is introduced. It is proposed that different enterprises should adopt differentiated development strategies. The study shows that network characteristics such as point degree centrality and betweenness centrality can significantly improve enterprise performance resilience and operational resilience, indicating that the central position of enterprises in the supply chain network and their ability to control resources are crucial to resilience.

本文的研究贡献主要体现在三个方面：

The contributions of this paper are mainly reflected in three aspects:

1. 理论贡献：结合社会网络理论、复杂网络理论和社会资本理论，构建了一个融合供应链网络结构、产业供应链韧性和企业韧性的研究框架，填补了当前产业链韧性研究中关于网络结构影响的不足，并深化了对供应链网络与产业链韧性关系的理解。

1. Theoretical contribution: Combining social network theory, complex network theory and social capital theory, a research framework integrating supply chain network structure, industrial supply chain resilience and enterprise resilience is constructed, which fills the gap in the current research on the impact of network structure on industrial chain resilience and deepens the understanding of the relationship between supply chain network and industrial chain resilience.

2. 方法创新：突破传统单一企业上下游供应链研究的局限，利用彭博数据供应链数据库和人工采集数据，构建了更为完整、真实的汽车产业五级供应链网络，从大规模描述性实证研究的角度拓展了供应链网络研究的边界。

2. Methodological innovation: Breaking through the limitations of traditional single-enterprise upstream and downstream supply chain research, this paper uses the Bloomberg data supply chain database and manually collected data to build a more complete and realistic five-level supply chain network for the automotive industry, expanding the boundaries of supply chain network research from the perspective of large-scale descriptive empirical research.

3. 实践价值：基于供应链网络结构视角，分析了不同网络特征如何影响企业韧性，并探讨了不同网络特征组合对企业韧性的提升作用，弥补了以往研究中对供应链网络结构影响企业韧性的忽视，为提升企业和产业链的韧性提供了新的理论支持和实证依据。

3. Practical value: Based on the perspective of supply chain network structure, this paper analyzes how different network characteristics affect enterprise resilience, and explores the role of different combinations of network characteristics in enhancing enterprise resilience. This makes up for the neglect of the impact of supply chain network structure on enterprise resilience in previous studies, and provides new theoretical support and empirical basis for improving the resilience of enterprises and industrial chains.

四、知识补充（Knowledge supplement）

T检验是一种用于比较两组数据是否存在显著差异的统计方法，广泛应用于各类实验和研究中。T检验通常用于小样本数据，适用于总体标准差未知的情况。T检验根据数据的特性和比较的方式可以分为几种类型，常见的有独立样本t检验、配对样本t检验和单样本t检验。

T-test is a statistical method used to compare whether there is a significant difference between two groups of data. It is widely used in various experiments and research. T-test is usually used for small sample data and is suitable for situations where the population standard deviation is unknown. T-test can be divided into several types according to the characteristics of the data and the method of comparison. The most common ones are independent sample t-test, paired sample t-test and single sample t-test.

T检验适用于以下几种情况：

The T test is applicable to the following situations:

1. 独立样本t检验：比较两组独立的样本均值是否有显著差异。例如，比较两个不同治疗方法对病人效果的影响，或比较两种不同的教学方法对学生成绩的影响。

1. Independent sample t-test: compares whether the mean values of two independent samples are significantly different. For example, compare the effects of two different treatments on patients, or compare the effects of two different teaching methods on students' grades.

2. 配对样本t检验：比较同一组样本在两个不同时间点、两个不同条件下的均值差异。例如，比较同一组人群在治疗前后的血压变化，或同一组学生在考试前后的成绩差异。

2. Paired sample t-test: compares the mean differences of the same group of samples at two different time points and under two different conditions. For example, compare the changes in blood pressure of the same group of people before and after treatment, or the differences in the scores of the same group of students before and after the exam.

3. 单样本t检验：比较单个样本的均值与已知值之间是否有显著差异。例如，某工厂的产品标准值为10，但你想检验当前生产的样本是否符合这一标准。

3. Single-sample t-test: Compare whether there is a significant difference between the mean of a single sample and the known value. For example, the product standard value of a factory is 10, but you want to test whether the current production samples meet this standard.

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