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中国国家标准发展贡献水平的时空差异与动态演变特征——基于机器拆分与位置分配技术

Spatiotemporal disparities and dynamic transition characteristics of China's national standard development contribution levels-Based on machine splitting and location assignment technology.

作者信息

Sun Hongjun, Du Yang, Huang Juxiu

机构信息

China National Institute of Standardization, Beijing, China.

Biaoxin Science & Technology (Beijing) Co., Ltd, Beijing, China.

出版信息

PLoS One. 2025 Sep 9;20(9):e0327002. doi: 10.1371/journal.pone.0327002. eCollection 2025.

DOI:10.1371/journal.pone.0327002
PMID:40924696
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12419623/
Abstract

This study examines China's national standard development from 2001 to 2023. Using machine splitting and location assignment technology, the Dagum Gini coefficient and its decomposition methods, and traditional and spatial Markov chain estimation methods, we identify the spatiotemporal disparities and dynamic transition characteristics of the contribution levels to national standard development across China's eight comprehensive economic zones. The findings provide a reference for promoting regional coordinated sustainable development and high-quality economic transformation. The study reveals three key findings. (1) Contribution levels of China's eight comprehensive economic zones to national standard development have significantly increased. The Northern Coastal comprehensive economic zone has the highest contribution levels, followed by the Eastern and Southern Coastal zones, whereas the Northwestern and Northeastern zones have lower contribution levels. (2) The overall regional disparity in national standard development contribution levels is decreasing, with the largest intraregional disparities found in the Northern and Southern Coastal zones. Significant interregional disparities persist between the Northern Coastal and Northwestern zones, the Eastern Coastal and Northwestern zones, and the Southern Coastal and Northwestern zones, with interregional disparities being the primary driver of the overall regional gap. (3) When spatial correlation effects are not considered, contribution levels exhibit clear signs of club convergence and asymmetric distribution. However, when spatial correlation effects are considered, the transition characteristics of contribution levels show significant spatial dependence. This study makes three key contributions. First, it illustrates the spatiotemporal differentiation and dynamic transition characteristics of the contribution levels of China's eight comprehensive economic zones to national standard development, addressing gaps in existing quantitative research. Second, it introduces novel techniques and decomposition methods. Third, it identifies the primary causes of regional disparities and dynamic transition characteristics, providing empirical evidence to support policy decisions for regional coordinated sustainable development and high-quality economic transformation.

摘要

本研究考察了2001年至2023年中国国家标准的发展情况。运用机器划分与区位赋值技术、达古姆基尼系数及其分解方法,以及传统和空间马尔可夫链估计方法,我们识别了中国八大综合经济区在国家标准发展贡献水平上的时空差异和动态转变特征。研究结果为推动区域协调可持续发展和高质量经济转型提供了参考。该研究揭示了三个关键发现。(1)中国八大综合经济区对国家标准发展的贡献水平显著提高。北部沿海综合经济区的贡献水平最高,其次是东部和南部沿海地区,而西北和东北地区的贡献水平较低。(2)国家标准发展贡献水平的总体区域差距在缩小,区域内差距最大的是北部和南部沿海地区。北部沿海与西北、东部沿海与西北、南部沿海与西北之间仍存在显著的区域间差距,区域间差距是总体区域差距的主要驱动因素。(3)在不考虑空间相关效应时,贡献水平呈现明显的俱乐部收敛和非对称分布迹象。然而,当考虑空间相关效应时,贡献水平的转变特征表现出显著的空间依赖性。本研究做出了三项关键贡献。第一,它阐明了中国八大综合经济区对国家标准发展贡献水平的时空分异和动态转变特征,弥补了现有定量研究的不足。第二,它引入了新颖的技术和分解方法。第三,它识别了区域差距和动态转变特征的主要成因,为区域协调可持续发展和高质量经济转型的政策决策提供了实证依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab02/12419623/81dc87477368/pone.0327002.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab02/12419623/c30116c1a5a8/pone.0327002.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab02/12419623/546f9c72e807/pone.0327002.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab02/12419623/005823555ad1/pone.0327002.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab02/12419623/81dc87477368/pone.0327002.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab02/12419623/c30116c1a5a8/pone.0327002.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab02/12419623/546f9c72e807/pone.0327002.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab02/12419623/005823555ad1/pone.0327002.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab02/12419623/81dc87477368/pone.0327002.g004.jpg

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