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中国高质量工业发展水平的测度及时空演变

Measurement and spatio-temporal evolution of high-quality industrial development level in China.

作者信息

Yang XinMei, Zhou RuiHui

机构信息

College of Finance and Information, Ningbo University of Finance and Economics, Ningbo, 315175, China.

出版信息

Sci Rep. 2025 Jan 2;15(1):515. doi: 10.1038/s41598-024-84112-w.

DOI:10.1038/s41598-024-84112-w
PMID:39747511
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11697204/
Abstract

The scientific measurement of high-quality industries development (Abbreviated as HQID) level is crucial for promoting their advancement in China. This measurement holds significant importance in reducing regional differences in HQID among cities and fostering coordinated urban industry development. This study utilizes panel data encompassing 286 cities in China from 2003 to 2022. It comprehensively examines the essence of HQID, focusing on factor output efficiency and the industrialization process. To achieve this, an evaluation index system encompassing seven key aspects is constructed: technological innovation intensity, factor productivity, resource utilization intensity, pollution emission intensity, open competition intensity, industrialization level, and industrialization quality. Subsequently, the HQID level of China is measured, and the spatial-temporal evolution characteristics are revealed through various methods, including spatial correlation analysis, hot spot analysis, and Dagum Gini coefficient decomposition. The findings indicate the following: (1) China's urban industry is experiencing slow but steady improvement in its overall high-quality development level. The number of regions with medium and high levels has notably increased. Furthermore, the spatial distribution is predominantly concentrated in the Eastern coastal areas. (2) The spatial distribution of HQID index in Chinese cities reveals positive correlation between the H-H type spatial agglomeration pattern and the L-L type spatial agglomeration pattern. (3) The highest level of HQID and the most pronounced growth trend are observed in Eastern coast and Northern coastal. Since 2018, the trend of HQID in the northeast and northwest areas has shown a decline. From 2003 to 2022 inter-regional differences were primary source of overall regional disparities, with significant variation in the contribution rates among the three factors.

摘要

高质量产业发展(简称HQID)水平的科学测度对推动中国高质量产业发展至关重要。该测度对于缩小城市间HQID的区域差异以及促进城市产业协调发展具有重要意义。本研究利用2003年至2022年中国286个城市的面板数据。全面考察HQID的本质,重点关注要素产出效率和工业化进程。为此,构建了一个涵盖七个关键方面的评价指标体系:技术创新强度、要素生产率、资源利用强度、污染排放强度、开放竞争强度、工业化水平和工业化质量。随后,测度了中国的HQID水平,并通过空间相关性分析、热点分析和达格姆基尼系数分解等多种方法揭示了其时空演变特征。研究结果表明:(1)中国城市产业总体高质量发展水平正缓慢但稳步提升。中高水平地区数量显著增加。此外,空间分布主要集中在东部沿海地区。(2)中国城市HQID指数的空间分布显示出H-H型空间集聚模式与L-L型空间集聚模式之间存在正相关。(3)东部沿海和北部沿海地区的HQID水平最高,增长趋势最为明显。自2018年以来,东北地区和西北地区的HQID呈下降趋势。2003年至2022年,区域间差异是总体区域差距的主要来源,三个因素的贡献率存在显著差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6886/11697204/ff387cacd2a7/41598_2024_84112_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6886/11697204/2f2f3b6499c5/41598_2024_84112_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6886/11697204/eb2cb7a210cc/41598_2024_84112_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6886/11697204/31d9c9cbb802/41598_2024_84112_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6886/11697204/ff7c5edd2f2a/41598_2024_84112_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6886/11697204/ff387cacd2a7/41598_2024_84112_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6886/11697204/2f2f3b6499c5/41598_2024_84112_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6886/11697204/eb2cb7a210cc/41598_2024_84112_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6886/11697204/31d9c9cbb802/41598_2024_84112_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6886/11697204/ff7c5edd2f2a/41598_2024_84112_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6886/11697204/ff387cacd2a7/41598_2024_84112_Fig5_HTML.jpg

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本文引用的文献

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Regional integration policies and urban green innovation: Fresh evidence from urban agglomeration expansion.区域一体化政策与城市绿色创新:来自城市群扩张的新证据。
J Environ Manage. 2024 Mar;354:120485. doi: 10.1016/j.jenvman.2024.120485. Epub 2024 Feb 28.
2
North-south regional differential decomposition and spatiotemporal dynamic evolution of China's industrial green total factor productivity.中国工业绿色全要素生产率的南北区域差异分解及时空动态演进。
Environ Sci Pollut Res Int. 2023 Mar;30(13):37706-37725. doi: 10.1007/s11356-022-24697-9. Epub 2022 Dec 27.
3
Exploring the effect of economic and environment factors on PM2.5 concentration: A case study of the Beijing-Tianjin-Hebei region.
探究经济和环境因素对 PM2.5 浓度的影响:以京津冀地区为例。
J Environ Manage. 2020 Aug 15;268:110703. doi: 10.1016/j.jenvman.2020.110703. Epub 2020 May 14.