Government support and the development of new quality productivity: a text mining analysis based on the provincial government work report
DOI:
https://doi.org/10.62051/e01r2715Keywords:
New qualitative productivity, Government work report, Text mining, principal component analysis, and Random effect model.Abstract
The new quality productivity is an important driving force to push forward the Chinese modernization in our country, based on the text mining of 510 provincial government work reports from 2011 to 2023, this paper estimates the government's support for the development of new-quality productivity, and carries out the principal component analysis by constructing the index system of the development of new-quality productivity, this paper measures the development level of new quality productivity and empirically tests the mechanism of government support on the development of new quality productivity with panel data model. The empirical results show that government support has a positive effect on the performance of new qualitative productivity at the 5% significance level. Based on the research conclusion, the paper proposes that government agencies should understand the actual demand of new quality productivity development, strengthen the implementation of supply-side reform, focus on long-term development, and create a good innovation environment.
Downloads
References
[1] Sheng Chaoxun. Formation conditions and cultivation paths of new quality productivity [J] economic vertical and horizontal, 2024(02) : 31 -40
[2] Wang Zhidong. Promoting socialist modernization with high-quality development [J] . Ideological and theoretical education, 2024(05) : 34-40
[3] Wong Wah-wah. A new thought on the industrial policy of local government to accelerate the formation of new quality productive forces: Based on the coupling path of production factor agglomeration and the “Double helix” of the future industrial chain [J]. Administration and law, 2024(04) : 29-42
[4] Fang Xiaoxia, Li Xiaohua. Disruptive innovation, scenario-driven and new-quality productivity development [J]. Reform, 2024
[5] Wang Kebin and Yang Xiaoyi. How the policy of urban agglomerations improves the labor productivity of enterprises: an analysis based on the mechanism of efficient market and promising government [J]. Journal of Yunnan University of Finance and Economics, 2024,40(05) : 1-15
[6] Chen Mei, Zhao Ziyou. Research on the synergy between open government data and digital economy policy based on text mining [J]. Intelligence Journal, 2024,43(04) : 184-191 + 88
[7] Luo Shuang, Xiao Yun. The development of new qualitative productivity in the core industry agglomeration of Digital Economy: theoretical mechanism and empirical test [J]. Xinjiang social sciences, 2024(02) : 29-40 + 148
[8] Liu Minghui, Lu Fei. Government support and Rural Industrial Integration: An analysis based on text mining of government work report [J]. Journal of Yunnan University of Finance and Economics, 2021,37(04) : 89-100
[9] Wang Jue, Wang Rongji. New-quality productivity: indicator construction and space-time evolution [J]. Journal of Xi'an University of Finance and Economics, 2023,37(01) : 31-47
[10] Zhan Wang, Li Hanbing. Identity of migrant workers and willingness to stay in cities —— empirical evidence based on principal component analysis and random forest model [J]. Journal of Shenyang University of Technology (Social Science Edition), 2024,17 (3): 1-11
Downloads
Published
Conference Proceedings Volume
Section
License
Copyright (c) 2024 Transactions on Economics, Business and Management Research

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.








