| Abstract |
The purpose of this paper is to reveal the current situation of public service expenditure efficiency and the main reasons for the imbalance in public service expenditure in 21 cities in Guangdong during the new crown epidemic in 2020, so as to propose ways to improve efficiency. The entropy weight method was applied to homogeneously empower and merge 11 input-output indicators, and the indicators were combined into 7; Taking 21 cities in Guangdong Province as DUM, the 7 combined indicators were used as DUM, and the differences in efficiency of different cities and the factors affecting efficiency were analyzed through the DEA super efficiency method. The results show that the overall efficiency of public service expenditure in Guangdong Province is at a high level, and the regional difference in efficiency is relatively small, but the scale remuneration in most cities is decreasing, and there is waste of resources. Among the ultra-efficiency values, Shenzhen Maoming has the highest efficiency and Guangzhou has the lowest efficiency, and there is a serious decline in scale return. Through empirical analysis, it is concluded that the overall efficiency of public service expenditure in Guangdong Province shows a state of high efficiency and regional stability, with the western city of Maoming City showing a rising trend, the eastern city having a phenomenon of insufficient supply, and the provincial capital Guangzhou City also experiencing problems such as diminishing scale returns. To this end, this paper proposes three solutions to optimize resource allocation: first, continue to strengthen the construction of e-government, use blockchain technology, timely monitor government expenditure, and reduce the waste of public service expenditure; Second, realize the clustering of local government public services and reduce the duplication of construction in the same area; Third, strengthen exchanges and communication with regional local governments, and establish discussions on the efficiency of public services between sister cities.
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