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Comparative analysis of total factor productivity in China's high-tech industries.
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- Author(s): Chen, Xiaoqing; Liu, Xinwang; Zhu, Qingyuan
- Source:
Technological Forecasting & Social Change; Feb2022, Vol. 175, pN.PAG-N.PAG, 1p- Subject Terms:
- Source:
- Additional Information
- Subject Terms:
- Abstract: • The article performs the productivity change of the high-tech industry, rather than the efficiency evaluation. • This article divides all provinces into three main regions and conducts an analysis of productivity change in high-tech industries in each region. • This work specifically examines the productivity changes by dividing the innovation process into the technology development stage and economic transformation stage. • This work also adopts the Hicks-Moorsteen index method to measure and decompose the productivity change of China's high-tech industries. The high-tech industry is a high-end component of the modern industrial system, and the key to high-quality development is to improve total factor productivity (TFP). This article divides the innovation process of the high-tech industry into two sub-stages: technology development and economic conversion. Based on the panel data of high-tech sectors, Malmquist and Hicks-Moorsteen indices are applied to measure the productivity changes. Furthermore, the index decomposition dissects the technological change rate and technical efficiency change, thereby identifying the main factors affecting the productivity change. The results show that the TFP of high-tech industries in China and various regions is upward. From the perspective of each region, the main growth driver in the national and Eastern regions is technological progress, while that in the Central and Western regions is mainly technical efficiency changes. In addition, in terms of each sub-stage, the main growth driver in the technology development stage is technical efficiency change, while in the economic conversion stage and the overall system, technological progress is the primary growth driver. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Technological Forecasting & Social Change is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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