首页|数据要素新动能对长江经济带制造业高质量发展的影响研究

数据要素新动能对长江经济带制造业高质量发展的影响研究

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论文选取长江经济带11省(市)2012~2021年相关数据,基于制造业高质量发展的"驱动力-压力-状态-影响-响应"评价指标体系,采用熵值法对长江经济带制造业高质量发展指数进行测度,并运用Tobit面板模型检验数据要素新动能对长江经济带制造业高质量发展的影响效应。结果表明:长江经济带制造业高质量发展保持"稳中向好"的发展趋势,五大子系统之间差异显著,制造业高质量发展水平呈现出"下游地区>中游地区>上游地区"发展格局,下游地区领先优势明显,区域发展不平衡问题仍然存在。数据要素新动能对长江经济带制造业高质量发展具有显著的推动作用,但分区域视角下影响不一,对上游地区正向促进作用显著,对中游地区负向抑制作用显著,对下游地区影响不显著。鉴于此,论文从区域分工协作、创新驱动发展、数字化人才供应方面提出对策建议。
Research on the Impact of New Energy of Data Elements on the High Quality Development of Manufacturing Industry in the Yangtze River Economic Belt
The paper selected data from 11 provinces and cities in the Yangtze River Economic Belt from 2012 to 2021,and based on the"driving-force-pressure-state-impact response"evaluation index system for high-quality development of manufacturing industry,entropy method is used to measure the high-quality development index of manufacturing industry in the Yangtze River Economic Belt.The Tobit Panel model is used to test the impact effect of new driving forces of data elements on the high-quality development of manufacturing industry in the Yangtze River Economic Belt.The results show that the high-quality development of the manufacturing industry in the Yangtze River Economic Belt has maintained a"steady upward"development trend,with significant differences among the five subsystems.The level of high-quality development of the manufacturing industry shows a clear development pattern of"downstream regions>midstream regions>upstream regions".The downstream regions have obvious leading advantages,and the problem of regional development imbalance still exists.The new driving force of data elements has a significant promoting effect on the high-quality development of the manufacturing industry in the Yangtze River Economic Belt,but the impact varies from a regional perspective.It has a significant positive promoting effect on the upstream region,a significant negative inhibitory effect on the midstream region,and a insignificant impact on the downstream region.After using control variables with a lag of one period,shrinkage treatment,and truncation treatment for robustness testing,this conclusion still holds.In view of this,this article proposes countermeasures and suggestions from the perspectives of regional division of labor and cooperation,innovation driven development,and digital talent supply.

Yangtze River Economic Beltmanufacturing industrylogistics industryspatial autocorrelationcoupling coordination degree

刘霜、孙芳城

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重庆工商大学成渝地区双城经济圈建设研究院,重庆 400067

数据要素 新动能 数字经济 制造业 高质量发展

2024

长江大学学报(社会科学版)
长江大学

长江大学学报(社会科学版)

CHSSCD
影响因子:0.242
ISSN:1673-1395
年,卷(期):2024.47(3)