A Threshold Regression Study of Tax Incentives and Innovation Based on Big Data

DOI

10.2991/978-94-6463-256-9_11How to use a DOI?

Keywords

tax incentives; innovation; big data

Abstract

As China’s economy enters the new normal of development, the impact of innovation on the economy has become more and more significant, and companies have gradually realized the importance of innovation. In recent years, the government has issued a number of preferential tax policies for macro-control of enterprise innovation, in-depth analysis of the incentive effect of tax incentives on enterprise innovation, which is conducive to improving the effect of tax preferential policies, promoting the universal application of tax incentives in enterprises, and improving national innovation. This paper collects the big data about tax preference and innovation, uses threshold regression model to analyze the tax preference and innovation output, and puts forward some suggestions.

Copyright

© 2024 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.

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TY  - CONF
AU  - Tieping Wang
PY  - 2023
DA  - 2023/10/09
TI  - A Threshold Regression Study of Tax Incentives and Innovation Based on Big Data
BT  - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
PB  - Atlantis Press
SP  - 102
EP  - 108
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-256-9_11
DO  - 10.2991/978-94-6463-256-9_11
ID  - Wang2023
ER  -