关键词: 产业链现代化, 动态分布, 区域差异, 空间收敛

Abstract: Modernization of the manufacturing industry chain is a key link in the construction of a modernized industrial system and an important focus point for promoting the high-quality development of China's economy, but there is a lack of understanding of the level of modernization of the manufacturing industry chain at present. Therefore, it is of great theoretical and practical significance to construct a system of indicators reflecting the scientific connotation of the modernization level of China's manufacturing industry chain, measure its basic characteristics, explore the spatial variability and sources, and analyze its dynamic distribution and evolution rule, so as to comprehensively understand the factual characteristics of the modernization level of China's manufacturing industry chain, and put forward effective countermeasures to enhance it.
Based on the idea of a new development philosophy, this paper reconstructs the index system for measuring the modernization level of manufacturing industry chain. Firstly, the overall index and sub-dimension index of the modernization level of the manufacturing industry chain are obtained by using the TOPSIS entropy weight method to measure and analyze its basic characteristics. Secondly, the decomposition of Dagum's Gini coefficient is used to measure the overall differences in the modernization level of the manufacturing industry chain, intra-regional differences, inter-regional differences, and differences in the sources and contributions. At the same time, the overall shape of the modernization level of the manufacturing industry chain and the dynamic evolution trend in different periods are measured using kernel density estimation. Finally, a spatial panel model is used to explore the convergence characteristics of the modernization level of the manufacturing industry chain.
The results show that the modernization level of China's manufacturing industry chain is generally on the rise, but the development level of different regions varies greatly, presenting the basic characteristics of being “high in the east and low in the west”. Intra-regional differences in the country as a whole, in the eastern region, in the central region, and in the western region are all on the rise, with the largest intra-regional differences in the eastern region over time, the smallest but fastest-rising intra-regional differences in the central region, and the smallest intra-gional differences in the western region from 2018 onwards. Inter-regional differences between the eastern region and the western region, and between the central region and the western region, are widening year by year, while the inter-regional differences between the eastern region and the central region are in a declining trend. Inter-egional differences are the main source of overall differences in the modernization level of China's manufacturing industry chain. The absolute difference in the dynamic evolution of the level of modernization of the manufacturing industry chain in the eastern and central regions shows an upward trend, while the absolute difference in the dynamic evolution of the level of modernization of the manufacturing industry chain in the western region shows a downward trend. The modernization level of the manufacturing industry chain has convergence characteristics, and in terms of absolute β-convergence, the eastern region has the fastest rate of convergence, but the central region has the slowest rate of convergence. In terms of conditional β-convergence, the western region has the fastest rate of convergence but the eastern region has the slowest rate of convergence.
The limitation of this paper may lie in the fact that it is slightly rough to study the modernization level of the manufacturing industry chain based on provincial data, and the development rule of the modernization level of the manufacturing industry chain can be further explored in the future from the level of prefectural and municipal level as well as the level of industry.

Key words: modernization of industry chains, dynamics distribution, regional differences, spatial convergence