制造业高质量发展的测度及其动态演进
Measurement and Dynamic Evolution of High Quality Development in Manufacturing Industry
王琼 1朱虹1
作者信息
- 1. 常州大学阿里云大数据学院,江苏常州 213164
- 折叠
摘要
文章结合制造业低碳发展和智能创新的新发展要求,构建制造业高质量发展评价指标体系,运用CRITIC熵权的TOPSIS模型对2015-2020年中国省域制造业高质量发展指数进行测算,并进一步研究制造业高质量发展的地区差异及其动态演进特征.结果表明:制造业高质量发展取得了较好的成效,尤其是2017年以来更为显著,但存在较明显的非均衡空间发展格局,呈现出极化现象.制造业高质量发展水平的地区相对差异在样本期间呈现先增后减的态势.东北地区和东部地区制造业高质量发展的区内差异程度较小.地区间制造业高质量发展差异为地区差异的主要来源.省域制造业高质量发展具有空间依赖性,对其周边省域制造业高质量发展水平的转移存在异质性的空间辐射效应.
Abstract
The article combines the new development requirements of low-carbon development and intelligent innovation in the manufacturing industry,constructs an evaluation index system for high-quality development in the manufacturing industry,uses the CRITIC entropy weight TOPSIS model to calculate the high-quality development index of China's provincial manufacturing industry from 2015 to 2020,and further studies the regional differences and dynamic evolution characteristics of high-quality development in the manufacturing industry.The results indicate that the high-quality development of the manufacturing industry has achieved good results,especially since 2017,but there is a clear pattern of unbalanced spatial development,showing a polarization phenomenon.The relative differences in the high-quality development level of the manufacturing industry among regions showed a trend of first increasing and then decreasing during the sample period.The degree of regional differences in the high-quality development of manufacturing in the Northeast and Eastern regions is relatively small.The difference in high-quality development of manufacturing industry between regions is the main source of regional differences.The high-quality development of provincial manufacturing industry has spatial dependence,and there is a heterogeneous spatial radiation effect on the transfer of high-quality development level of manufacturing industry in its surrounding provinces.
关键词
高质量发展/制造业/核密度估计/Markov链方法引用本文复制引用
基金项目
国家社会科学基金一般项目(19BTJ016)
国家社会科学基金重大项目(20&ZD128)
国家社会科学基金重点项目(20ASH008)
江苏省高等学校哲学社会科学研究项目(2021SJA0452)
出版年
2024
NETL
NSTL
万方数据