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新质生产力发展水平评估与时空格局分析OA北大核心CHSSCDCSSCI

Development Level Evaluation and Spatial-temporal Analysis of New Quality Productive Forces:Three-dimensional Calculation Based on"Advancement-Development Potential-Realization Level"

中文摘要英文摘要

基于新质生产力的客观存在性、动态发展性和价值创造功能,本文从生产力的先进性、发展潜力和实现水平3 个维度构建地区新质生产力发展水平评价指标体系,利用CRITIC-熵权法测算2012-2022 年我国30 个省份的新质生产力发展指数,采用Dagum基尼系数分解、标准差椭圆与重心迁移模型、Markov链分析等方法刻画新质生产力发展的时空格局,结果表明:在样本期内,各地新质生产力发展水平持续提高,但呈现出东高西低的空间分布特征;新质生产力发展水平的地区差异先缩小(2012-2016 年)后扩大(2016-2021 年),地区差异及其变化主要来源于东、中、西三大区域之间;三大区域间的差异,东部与西部最大,东部与中部次之,中部与西部最小;区域内各省份间的差异,东部最大,西部次之,中部最小;新质生产力空间分布重心位于河南省内,并先向西(2012-2017 年)后向南(2017-2022 年)移动;新质生产力在空间上趋于集中分布(标准差椭圆面积减小);各省份新质生产力的相对发展水平较为稳定,总体呈现上升趋势和"俱乐部收敛"趋势;地区新质生产力相对发展水平的变化受到邻域新质生产力发展的影响,各地新质生产力发展和地区间的相互影响共同推动新质生产力空间格局的演进.

At present,China's economy is transforming from a stage of rapid growth to a stage of high-quality development,and the traditional productive forces and development model have revealed their limitations in the context of the new era.The rise and development of new quality productive forces have undoubtedly become the key to cracking the current development bottleneck.However,research on new quality productive forces is still in the exploratory stage,and methods for measuring the development level of new quality productive forces are not yet fully developed. This paper conducts an in-depth analysis of the development status,spatial distribution characteristics,and evolutionary trajectory of China's new quality productive forces from 2012 to 2022,based on data from the China Statistical Yearbook,China High-tech Industry Statistical Yearbook,and the Data Pipman database,drawing on the research of Han Wenlong et al.(2024).The study finds that:(1)There is a significant difference in the development level of new quality productive forces between the eastern and central-western regions.(2)Regional disparities in new quality productive forces are primarily attributed to differences between provinces,and in the contribution rate of differences,the contribution rate of inter-group differences far exceeds that of other factors.(3)The shift in the center of gravity of spatial distribution indicates that despite the rapid development of new quality productive forces in the central and western regions,the eastern region still occupies a leading position.(4)The results of Markov chain analysis show that the development of new productivity in China has obvious spatial spillover effects and the phenomenon of"club convergence".Based on the results of the study,this paper puts forward suggestions for accelerating the development of new quality productive forces and narrowing the inter-regional differences from the perspectives of increasing the support for scientific and technological innovation activities and promoting the balanced distribution of educational resources. Compared with the existing literature,the marginal contributions of this paper are as follows.Firstly,it tries to go beyond the traditional framework of workers,labor means,and labor objects.It constructs a comprehensive quantitative index system of new quality productive forces from three new dimensions:productivity advancement,development potential,and realization level.Secondly,the coupling coordination degree method is introduced,aiming at quantitatively assessing the optimal combination of laborers,labor objects,and labor materials.By separately calculating the scores of the three and then using these scores to calculate coupling coordination degrees,it reflects their synergistic effects and overall optimization degree.Thirdly,this paper adopts the CRITIC-entropy weight method to calculate new quality productive forces and explore the relationship between it and the GNP,to reveal whether there is a simple linear relationship between the two.It also uses the Dagum Gini coefficient decomposition method and Markov chain analysis to systematically analyze the spatiotemporal characteristics of levels and the sources of differences in the levels of new quality productive forces,revealing regularities and spatial spillover effects in geographical distribution and historical evolution.

王方方;涂先青;杨智晨;胡星楠

广东财经大学 数字经济学院,广东 广州 528100暨南大学 经济学院,广东 广州 510623

经济学

新质生产力科技创新全要素生产率劳动者劳动资料劳动对象

new quality productive forcesinnovation in science and technologytotal factor productivitylaborerslabor materialslabor objects

《西部论坛》 2024 (004)

1-16 / 16

国家社会科学基金重大项目(23&ZD124);国家社会科学基金一般项目(20BJY063)

10.3969/j.issn.1674-8131.2024.04.001

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