摘要
本文通过构建制造业创新韧性的评价指标体系,采用熵权法和TOPSIS法对2012—2020年江西省制造业创新韧性进行了评价与分析,并实证研究了宏观经济不确定性对江西省制造业创新韧性的影响。研究发现:江西制造业创新韧性持续提升,进步迅速,但仍然处于较低水平。导致江西制造业创新韧性水平较低的因素主要有创新资源投入不足、创新产出相对较少、创新人才缺乏、金融支持不足、本地市场需求疲弱等。宏观经济不确定性对江西制造业创新韧性具有显著的负面影响,良好的创新氛围和充分竞争的市场环境有利于江西制造业创新韧性的提升。增加研发投入,强化金融对创新的支持力度,加大科技创新人才的引进培育力度,努力营造创新的文化氛围,着力完善公平竞争的市场环境是提高江西制造业创新韧性的重要举措。
This paper evaluates and analyzes the innovation resilience of the manufacturing industry in Jiangxi Province from 2012 to 2020 with the entropy weight method and TOPSIS method by constructing an evaluation index system for the innovation resilience of manufacturing industry.Then it makes an empirical study of the impact of macroeconomic uncertainty on the resilience of its manufacturing industry.The research has found that the innovation resilience of the manufacturing industry in Jiangxi Province continues to improve and progress rapidly,but it is still at a relatively low level.The main factors for the low-level innovation resilience of its manufacturing industry include insufficient investment in innovation sources,less innovation output,lack of innovative talents,inadequate financial support,and weak local market demand.Macroeconomic uncertainty has a significant negative impact on the innovation resilience of its manufacturing industry.A sound innovation atmosphere and a fully competitive market environment are conducive to the improvement of the innovation resilience of its manufacturing industry.Therefore,it puts forward such important measures for Jiangxi Province to enhance the innovation resilience of its manufacturing industry as increasing research and development investment,strengthening financial support for innovation,introducing and cultivating more scientific and technological innovation talents,striving to create a cultural atmosphere of innovation,and building a market environment of fair competition.
作者
魏博通
王晨阳
Wei Botong;Wang Chenyang
出处
《科技广场》
2023年第6期23-32,共10页
Science Mosaic
基金
国家社科基金青年项目“数字经济赋能制造业转型升级的效应测度与实现路径研究”(项目编号:20CJY031)。
关键词
宏观经济不确定性
制造业
新韧性
江西
Macroeconomic Uncertainty
Manufacturing Industry
Innovation Resilience
Jiangxi Province