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制造业与数字经济产业融合水平及创新效率测度 被引量:14

Industrial Integration Level and Innovation Efficiency Measurement of Manufacturing and Digital Economy
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摘要 文章基于2012—2019年中国30个省份的面板数据,运用耦联评价法、随机前沿分析法测算制造业与数字经济产业融合度、制造业创新效率,实证检验产业融合对制造业创新效率的影响。研究发现:研究期内全国和东、中、西三大地区制造业与数字经济产业融合度不断提高,区域间呈现东—中—西的梯级差异,东北地区产业融合度呈下降趋势;研究期内制造业创新效率稳步提升,区域间呈现东—中—西—东北的阶梯分布;制造业与数字经济产业融合发展对制造业创新效率具有持续的显著的正向影响,且在区域间存在差异,东—中—西部呈现依次减弱的正向影响,东北地区呈现负向影响。 Based on the panel data of 30 provinces in China from 2012 to 2019,this paper uses the coupling evaluation method and the stochastic frontier analysis method to measure the degree of industrial integration of manufacturing and digital economy and the innovation efficiency of manufacturing,and empirically tests the impact of industrial integration on the innovation efficiency of manufacturing.The findings of the research are as follows:During the study period,the industrial integration degree of manufacturing and digital economy in China and the three regions of the east,the middle and the west continuously improves,showing an east-middle-west step difference between the regions,and the industrial integration degree in Northeast China shows a downward trend.During the study period,the innovation efficiency of the manufacturing industry increases steadily,showing a step distribution between east,middle,west and northeast.The industrial integrated development of manufacturing and digital economy has a significant and continuous positive impact on the innovation efficiency of manufacturing industry,and there is a difference between regions.The positive impact of the east,the middle and the west decreases successively,and the Northeast China shows a negative effect.
作者 李莹 程广斌 Li Ying;Cheng Guangbin(School of Economics and Management,Shihezi University,Shihezi Xinjiang 832003,China)
出处 《统计与决策》 北大核心 2023年第1期17-22,共6页 Statistics & Decision
基金 国家社会科学基金资助项目(21XMZ062)。
关键词 产业融合 制造业创新效率 数字经济产业 制造业 industrial integration innovation efficiency of manufacturing digital economy industry manufacturing
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