Firm heterogeneity, biased technological change, and total factor productivity: Evidence from China

IF 2.3 4区 经济学 Q3 BUSINESS Journal of Productivity Analysis Pub Date : 2023-05-25 DOI:10.1007/s11123-023-00683-2
Qizheng Gao, Jianqing Zhang, Guo Chen
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企业异质性、偏倚技术变革与全要素生产率:来自中国的证据
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来源期刊
CiteScore
3.10
自引率
6.20%
发文量
30
期刊介绍: The Journal of Productivity Analysis publishes theoretical and applied research that addresses issues involving the measurement, explanation, and improvement of productivity. The broad scope of the journal encompasses productivity-related developments spanning the disciplines of economics, the management sciences, operations research, and business and public administration. Topics covered in the journal include, but are not limited to, productivity theory, organizational design, index number theory, and related foundations of productivity analysis. The journal also publishes research on computational methods that are employed in productivity analysis, including econometric and mathematical programming techniques, and empirical research based on data at all levels of aggregation, ranging from aggregate macroeconomic data to disaggregate microeconomic data. The empirical research illustrates the application of theory and techniques to the measurement of productivity, and develops implications for the design of managerial strategies and public policy to enhance productivity. Officially cited as: J Prod Anal
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