| Issue |
SHS Web Conf.
Volume 154, 2023
2022 International Conference on Public Service, Economic Management and Sustainable Development (PESD 2022)
|
|
|---|---|---|
| Article Number | 01008 | |
| Number of page(s) | 7 | |
| Section | 1. Public Service Management and Development Mechanism | |
| DOI | https://doi.org/10.1051/shsconf/202315401008 | |
| Published online | 11 January 2023 | |
Dynamic Empirical analysis of urban total factor productivity in Hubei Province: Based on DEA-Malmquist index method
1 Wuhan Textile University, Master Degree Candidate, Wuhan, China
2 Wuhan Textile University, Associate Professor, Wuhan, China
* Corresponding author: xhftobe@163.com
High-quality development stage pays more attention to the improvement of supply-side efficiency. TFP can effectively reflect the efficiency of resource allocation and is related to the sustainable and healthy development of economy. Based on the DEA-Malmquist index method, the data of 12 representative cities in Hubei Province from 2010 to 2019 are selected for dynamic empirical analysis of TFP. It is finded that the overall increase trend of TFP in Hubei Province during the selected period is not obvious, mainly due to the impact of technological regression. Technical efficiency has been improved, but it is not enough to make up for the "drag effect" of technological regression. Further analysis of the decomposition terms of technical efficiency shows that the improvement of scale efficiency is greater than that of pure technical efficiency. From the urban distribution characteristics of TFP improvement, the decline of TFP in most cities is the cause of the decline of TFP, and the vast majority of cities show different degrees of technological regression. The results of the empirical analysis attempt to provide policy enlightenment for the recovery of economy and regional coordinated high-quality development after the epidemic in Hubei Province .
© The Authors, published by EDP Sciences, 2023
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.