Issue |
E3S Web Conf.
Volume 235, 2021
2020 International Conference on New Energy Technology and Industrial Development (NETID 2020)
|
|
---|---|---|
Article Number | 02036 | |
Number of page(s) | 4 | |
Section | Industrial Technology Development and Industrial Structure Adjustment and Upgrading | |
DOI | https://doi.org/10.1051/e3sconf/202123502036 | |
Published online | 03 February 2021 |
The Implementation of Supply-side Structural Reform: Next Chapter for High-Tech Development Zones
Culver Academies, 1300 Academy Rd., Culver, IN, 46511, USA
Promoting supply-side structural reform is the key to China’s economic transformation and upgrading. As disruptive innovation is affecting different sectors and areas of society, numerous high-tech development zones should fully release their vitality and realize unprecedented development while contributing to this reform. This study attempted to further analyze the Research and Development (R&D) efficiency of high-tech zones in the past mode, and shed light on a more advanced and effective development pattern in the near future. This paper used Data Envelopment Analysis (DEA) model, which is a linear programming method to measure the efficiency between multiple decision-making units, and categorized three decisive factors to reach solid conclusions [1]. Our statistical results indicated that the low R&D efficiency is ubiquity among high-tech industries, and there is not yet a strong platform for advanced R&D activities. Lastly, this paper suggested strategies to maintain the sustainable development of the high-tech industry under the supply-side reform.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.