PoS - Proceedings of Science
Volume 299 - The 7th International Conference on Computer Engineering and Networks (CENet2017) - Session V - Date Analysis
Analysis on Total Factor Productivity of Chinese Information Service Industry and Influencing Factors
F. Xia*, B. Zhao and Z. Hao
Full text: pdf
Pre-published on: July 17, 2017
Published on: September 06, 2017
Abstract
The paper uses the productivity index based on data envelopment analysis (DEA) to calculate the total factor productivity (TFP) from 2008 to 2014, and also compares the differnces of TFP changes in three regions: eastern, central and western part. Then we use the panel data model to seek and discuss the factors affecting the regional difference of total factor productivity growth.
Results indicate that Chinese information service industry’s total factor productivity shows a rising trend; the investment on education level and information level has a significant role in
promoting the improvement of technological progress, technology efficiency and productivity; in addition, R&D, government behavior and urbanization are the important factors that affect regional difference of the development of Chinese information service industry.
DOI: https://doi.org/10.22323/1.299.0083
How to cite

Metadata are provided both in "article" format (very similar to INSPIRE) as this helps creating very compact bibliographies which can be beneficial to authors and readers, and in "proceeding" format which is more detailed and complete.

Open Access
Creative Commons LicenseCopyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.