Proceedings of the 5th International Conference on Economics, Management, Law and Education (EMLE 2019)

Research on Total Factor Productivity of High-Tech Parks Based on the Perspective of Technology Field: Taking the Zhongguancun Demonstration Zone as an Example*

Authors
Yaotong Chen, Xiaofeng Wu, Zhi Zeng, Hua Guo
Corresponding Author
Yaotong Chen
Available Online 7 January 2020.
DOI
https://doi.org/10.2991/aebmr.k.191225.040How to use a DOI?
Keywords
total factor productivity, high-tech industrial development zone, technical field, random frontier
Abstract
In order to clarify the economic growth dynamics of high-tech parks and the method of improving total factor productivity, this paper adds dummy variables to the stochastic frontier model method to consider the difference of total factor productivity among different economies, and combines clustering methods to verify The shortcomings of lower-economy economies and recommendations for science policy. This paper takes the six technical fields of Zhongguancun as the empirical object. The calculation results show that from the time axis, since 2002, the growth rate of total factor productivity in various technical fields of Zhongguancun has declined, but there have been signs of recovery in recent years. From the perspective of domain differences, the level of total factor productivity and the quality of economic development in the field of electronic information are the highest.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Cite this article

TY  - CONF
AU  - Yaotong Chen
AU  - Xiaofeng Wu
AU  - Zhi Zeng
AU  - Hua Guo
PY  - 2020
DA  - 2020/01/07
TI  - Research on Total Factor Productivity of High-Tech Parks Based on the Perspective of Technology Field: Taking the Zhongguancun Demonstration Zone as an Example*
BT  - Proceedings of the 5th International Conference on Economics, Management, Law and Education (EMLE 2019)
PB  - Atlantis Press
SP  - 226
EP  - 231
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.191225.040
DO  - https://doi.org/10.2991/aebmr.k.191225.040
ID  - Chen2020
ER  -