Analysis of the Impact of Tax and Fee Cuts on Residents’ Consumption Under Blockchain and Big Data
- DOI
- 10.2991/978-94-6463-005-3_67How to use a DOI?
- Keywords
- Blockchain and big data technology; tax and fee cuts; Household consumption level
- Abstract
In the past two years, the state has issued many supporting policies on blockchain and big data. At the same time, the significant success of shenzhen blockchain paperless electronic invoice pilot last year makes the advantages of the combination of blockchain and big data technology gradually emerge in the current era. Since the implementation of tax reduction policy, the impact of tax reduction policy on residents’ consumption has been concerned by the academic circle. Therefore, based on the technology of block chain and big data, this paper systematically investigates the direct impact of tax reduction and fee reduction on residents’ consumption and the indirect transmission mechanism of economic development factors by using the generalized moment estimation method and the multiple intermediary effect model. Research shows that tax and fee cuts have an impact on household consumption through direct, indirect and coverage effects.
- 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 - Yin Chang PY - 2022 DA - 2022/11/10 TI - Analysis of the Impact of Tax and Fee Cuts on Residents’ Consumption Under Blockchain and Big Data BT - Proceedings of the 2022 3rd International Conference on E-commerce and Internet Technology (ECIT 2022) PB - Atlantis Press SP - 654 EP - 662 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-005-3_67 DO - 10.2991/978-94-6463-005-3_67 ID - Chang2022 ER -