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中国新质生产力水平、区域差异与时空演进特征

王珂 郭晓曦

统计与决策2024,Vol.40Issue(9):30-36,7.
统计与决策2024,Vol.40Issue(9):30-36,7.DOI:10.13546/j.cnki.tjyjc.2024.09.005

中国新质生产力水平、区域差异与时空演进特征

Measurement and Spatiotemporal Evolution of China's New Quality Productive Force Level

王珂 1郭晓曦2

作者信息

  • 1. 浙江工业职业技术学院 财经学院,浙江 绍兴 312000
  • 2. 云南财经大学 会计学院,昆明 650000
  • 折叠

摘要

Abstract

This paper constructs an index system for measuring the level of new quality productivity,uses the entropy method to estimate the level of new quality productivity in 31 provinces in China from 2012 to 2021,analyzes its differences and sources through the Dagum Gini coefficient method,and finally employs the spatial correlation test to explore the spatial and temporal ag-glomeration characteristics and dynamic transitions of China's new quality productivity.Research findings are shown as follows:A consistent annual rise in China's new quality productive forces,albeit with an overall moderate level and noticeable regional dis-parities.Shortcomings in industries related to both the laborer and labor object dimensions are identified as constraints hindering the enhancement of new quality productive forces.Persistent significant differences in new quality productive forces levels among China's four major regions are primarily attributed to regional variations.China's new quality productive forces conspicuously concentrates in both efficient and inefficient categories,demonstrating robust spatial stability.Transitions in China's new quality productive forces tend towards polarization and hollowing,with fewer shifts towards efficiency.Regional development strategies ex-hibit diverse effects,coexisting with both the siphon effect and the driving effect.

关键词

新质生产力/区域差异/时空演进/熵值法/基尼系数/莫兰指数

Key words

new quality productive forces/regional disparities/spatiotemporal evolution/entropy method/Gini coefficient/Moran's index

分类

管理科学

引用本文复制引用

王珂,郭晓曦..中国新质生产力水平、区域差异与时空演进特征[J].统计与决策,2024,40(9):30-36,7.

基金项目

浙江省教育厅科研项目(Y202249519) (Y202249519)

浙江省社会科学界联合会研究课题(2023N136) (2023N136)

统计与决策

OA北大核心CHSSCDCSSCICSTPCD

1002-6487

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