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近年来，全球产业链供应链受逆全球化、新的技术变革、单边主义、贸易保 护主义、地缘政治风险上升等不确定因素的影响，面临重构，叠加新冠肺炎疫情 的影响，引发全球产业链供应链向本土化、多元化、区域化演变。在此背景下， 国家提出了“提升产业链供应链现代化水平” 这一重大战略举措。因此，研究 产业链供应链的现代化水平的测度方法，科学测度我国各省产业链供应链的现代 化水平并分析其区域差异及动态演进趋势,对于平衡地区之间产业链供应链现代 化水平的发展差异，加快建设现代化经济体系，具有非常重要的理论和现实意义。 本文通过对文献进行梳理，首先对产业链供应链现代化的内涵进行了界定， 然后根据其内涵建立综合评价指标体系。运用熵权-TOPSIS 法对 2011-2020 年中 国 30 个省份的产业链供应链的现代化水平进行实证测度；利用 Dagum 基尼系数 对中国产业链供应链现代化水平的差异进行分解，对中国产业链供应链现代化水 平的总体差异、区域内差异、区域间差异以及贡献率进行分析，然后选择核密度 估计对中国产业链供应链现代化水平的动态演进特征进行分析；最后运用σ收敛 模型和β收敛模型对中国区域产业链供应链现代化水平的收敛性进行研究。旨在 提高我国产业链供应链的现代化水平，加快建设现代化经济体系。 研究结果表明：（1）中国产业链供应链现代化水平存在省际与区域差异，在 空间上呈现“东高、中西低”的阶梯状空间分布特征。另外，从各维度水平来看， 产业链供应链的创新能力水平、绿色集约水平、数字化水平以及经济效益水平在 空间上都呈现“东高、中西低”的阶梯状空间分布特征；而产业链供应链的自主 可控水平呈现“中西高、东低”的阶梯状空间分布特征。（2）Dagum 基尼系数 分解结果表明，在 2011 年-2020 年间，中国区域产业链供应链现代化水平差异主 要来源于区域间差异，而区域间差异主要来源于东部-中部和东部-西部的地区差 异，并且东部-中部与东部-西部的区域间差异在缩小，中部-西部的区域间差异在 扩大。（3）Kernel 核密度估计结果表明，全国及三大区域的分布曲线的位置、形 态、延展性等动态特征存在差异，全国产业链供应链现代化水平的绝对差异呈现 出扩大的趋势。在三大区域中，东部区域产业链供应链现代化水平的绝对差异并 无发生太大变化，中部区域与西部区域产业链供应链现代化水平的绝对差异呈现出扩大的趋势。（4）从对全国及区域收敛性检验可知，全国及各区域产业链供应 链现代化水平在空间上无明显σ收敛特征，全国及各区域存在显著的绝对β收敛 和条件β收敛，但是二者的收敛速度存在差异，绝对β收敛的收敛速度呈现“中 -东-西”的格局，条件β收敛的收敛速度呈现“东-中-西”的格局。最后根据研 究结果，提出关于产业链供应链现代化水平提升的对策建议。

In recent years, the global industrial chain and supply chain have been affected by uncertainties such as anti-globalization, new technological changes, unilateralism, trade protectionism and rising geopolitical risks, and faced restructuring. Combined with the impact of the COVID-19 pandemic, the global industrial chain and supply chain have evolved into localization, diversification and regionalization. In this context, the country has put forward a major strategic measure of "upgrading the modernization level of the industrial chain and supply chain". Therefore, it is of great theoretical and practical significance to study the measurement method of the modernization level of industrial chain supply chain, scientifically measure the modernization level of industrial chain supply chain of various provinces in our country and analyze their regional differences and dynamic evolution trend for balancing the development difference of the modernization level of industrial chain supply chain among regions and speeding up the construction of modern industrial system. Through literature review, this paper firstly defines the connotation of the modernization of industrial chain and supply chain, and then establishes a comprehensive evaluation index system according to its connotation. The entropy weight TOPSIS method was used to empirically measure the modernization level of industrial chain and supply chain in 30 provinces of China during 2011-2020. The Dagum Gini coefficient was used to decompose the differences in the modernization level of China's industrial chain and supply chain, and the overall differences, intra-regional differences, inter-regional differences and contribution rates of the modernization level of China's industrial chain and supply chain were analyzed. Then the kernel density estimation was used to analyze the dynamic evolution characteristics of the modernization level of China's industrial chain and supply chain. Finally, the convergence of the modernization level of China's regional industrial chain and supply chain is studied using the σ convergence model and the β convergence model. The purpose is to improve the modernization level of Chinese industrial chain supply chain and accelerate the construction of modern industrial system. The results show that: (1) there are inter-provincial and regional differences in the modernization level of China's industrial chain and supply chain, which presents a stepped spatial distribution feature of "high in the east and low in the east and west". In addition, from the perspective of each dimension, the innovation ability level, green intensity level, digital level and economic benefit level of the industrial chain and supply chain show the spatial distribution characteristics of "high in the east and low in the East and west". The controllable level of industrial chain and supply chain presents a stepped spatial distribution feature of "high in the West and low in the east". (2) The Dagum Gini coefficient decomposition results show that during 2011-2020, the modernization level differences of China's regional industrial chain and supply chain mainly come from inter-regional differences, and the inter-regional differences mainly come from east-central and East-west regional differences, and the East-central and East-west regional differences are decreasing. Regional differences between central and western regions are widening. (3) Kernel density estimation results show that there are differences in the location, shape, ductility and other dynamic characteristics of distribution curves in the country and the three regions, and the absolute differences in the modernization level of the national industrial chain and supply chain show an expanding trend. In the three regions, the absolute difference of the industrial chain and supply chain modernization level in the eastern region did not change much, while the absolute difference of the industrial chain and supply chain modernization level in the central region and the western region showed an expanding trend. (4) From the national and regional convergence test, it can be seen that the modernization level of the industrial chain and supply chain in the country and various regions has no obvious σ convergence in space. There are significant absolute β convergence and conditional β convergence in the country and various regions, but the convergence rate of the two is different, and the convergence rate of absolute β convergence presents a "middle-east-west" pattern. The convergence rate of condition β shows an East-middle-west pattern. Finally, according to the research results, the paper puts forward the countermeasures and suggestions on upgrading the modernization level of the industrial chain and supply chain.