Innovation-driven, Export-driven and Optimization of Industrial Structure in National High-tech Zones
- DOI
- 10.2991/978-94-6463-102-9_117How to use a DOI?
- Keywords
- innovation-driven; science and technology innovation; export-pull; industrial structure optimization; national high-tech zone
- Abstract
Based on the panel data of 52 national high-tech zones from 2013 to 2020, we empirically analyze the influence of innovation drive and export pull on the optimization of industrial structure of national high-tech zones and their mechanisms of action. It is found that innovation drive has a positive driving effect on industrial structure optimization of national high-tech zones, and its influence is stable, which is an internal factor with autonomy; export pull has a negative influence on industrial structure optimization of national high-tech zones in general, which is an external factor with non-autonomy, and the improvement of innovation drive level can suppress the negative influence brought by export pull to a certain extent. Further heterogeneity analysis shows that there is regional heterogeneity in the strength of the role of innovation drive and export pull on the optimization of industrial structure in national high-tech zones.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Shuguang Liu AU - Xinhao Li PY - 2022 DA - 2022/12/29 TI - Innovation-driven, Export-driven and Optimization of Industrial Structure in National High-tech Zones BT - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022) PB - Atlantis Press SP - 1133 EP - 1147 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-102-9_117 DO - 10.2991/978-94-6463-102-9_117 ID - Liu2022 ER -