首页|劳动生产率增长中的中国技术进步测度

劳动生产率增长中的中国技术进步测度

扫码查看
马克思主义的技术进步测度围绕劳动生产率展开.论文在马克思劳动生产率影响因素文本基础上,构建了一个数字经济条件下的劳动生产率增长模型,借助递归状态空间技术估计该增长模型直接测得技术进步率,进而将该模型与马克思主义的经济增长模型相结合,间接测得样本期内中国技术进步的经济增长效应.2004-2020年期间的实证结果显示,2004年后中国技术水平整体上呈现非均速的提升,除了受金融危机与重大卫生事件冲击作用的影响,导致2008年、2009年与2020年中国技术进步率和技术进步的增长贡献为负以外,其余正常年份技术进步对经济增长的贡献度始终处于较高水平.此外,数字经济对产出增长作用并未突破生产率悖论,这可能是由于数字经济强化了技术—劳动替代效应等而最终抑制了劳动生产率的上升.
Measurement of China's Technological Progress in Labor Productivity Growth
The measurement of technological progress in Marxist theory revolves around labor productivity.Based on the textual analysis of factors influencing labor productivity in Marxist theory,this paper constructs a labor productivity growth model under the conditions of the digital economy.By utilizing recursive state-space techniques,the model directly estimates the rate of technological progress.Furthermore,by combining this model with Marxist economic growth theory,the paper indirectly measures the economic growth effects of China's technological progress during the sample period.Empirical results from 2004 to 2020 reveal that China's technological level has shown an overall uneven upward trend since 2004.With the exception of negative contributions to technological progress and its growth rate during 2008,2009,and 2020,which were affected by the global financial crisis and major health events,the contribution of technological progress to economic growth in other normal years remained consistently high.Additionally,the impact of the digital economy on output growth has not overcome the productivity paradox,which may be due to the digital economy's reinforcement of the effect of technological substitution of labor,ultimately suppressing the rise in labor productivity.

魏峰、沈海芹

展开 >

安徽大学大数据与统计学院,安徽 合肥 230039

数字经济 劳动生产率 技术进步 状态空间模型

国家社会科学基金面上项目

19BJL004

2024

生产力研究
中国生产力学会 山西省生产力学会

生产力研究

CHSSCD
影响因子:0.492
ISSN:1004-2768
年,卷(期):2024.(10)