Outline

Ingegneria Sismica

Ingegneria Sismica

Innovative applications of future-oriented digital governance models in the public service

Author(s): Siying Su1
1Guangzhou College of Technology and Business, Guangzhou, Guangdong, 510000, China
Su, Siying. “Innovative applications of future-oriented digital governance models in the public service.” Ingegneria Sismica Volume 43 Issue 1: 1-28, doi:10.65102/is2026432.

Abstract

 This study focuses on the digital transformation of government governance, as a main approach to public administration reforming in the digital age. In particular, it discusses the innovative application of digital governance models to public services as well as estimates the government digital governance level and the efficiency of public services. To estimate the efficiency of public services and the government digital governance level, the entropy weight method and three-stage super-efficiency SBM DEA method are used. Further, the mechanism of the influence of the digital transformation of government governance on the efficiency of public services was investigated using the PSM-DID analysis. Finally, this study established an integrated framework promoting the development of intelligent public services. The results revealed that the overall level of digital governance of the government in China remained relatively stable, while there was still great disparity among provinces and cities from 2014 to 2023. In terms of the efficiency of public services during this period, there was a slight trend towards a decline. As the factors constraining comprehensive technical efficiency, scale efficiency played the dominant role. Meanwhile, the improvement of comprehensive technical efficiency became the key driver of total factor productivity changes. The results revealed that the external environment affected the assessment of the efficiency of public services. Additionally, the digital transformation of government governance had positive effects on the efficiency of public services. On the basis of the aforementioned findings, a framework for developing intelligent public services was proposed.

Keywords
digital governance; public services; entropy method; SBM-DEA model; double difference model

Related Articles

Zhihao Jiang1,2, Limi Chen1,2, Jing Yang1
1Hainan Vocational University of Science and Technology, Haikou 571126, China
2Institute for Mathematical Research, Universiti Putra Malaysia, Serdang 43400, Malaysia
Limi Chen1,2, Zhihao Jiang1,2, Jing Yang1
1Hainan Vocational University of Science and Technology, Haikou 571126, China
2Institute for Mathematical Research, Universiti Putra Malaysia, Serdang 43400, Malaysia
Hui Yuan1, Minjie Chai2, Siqing Xu1, Jinsong Li1, Jinwan Zheng1
1Electric Power Research Institute, State Grid Shanxi Electric Power Co., Ltd., Taiyuan, 030001, Shanxi, China
2Jincheng Power Supply Branch, State Grid Shanxi Electric Power Co., Ltd., Jincheng, 048000, Shanxi, China
Yanhan Zhu1,2
1China Academy of Cultural Heritage, Chaoyang District, 100029, Beijing, China
2Beijing University of Civil Engineering and Architecture, Xicheng District, 100044, Beijing, China
Ken Wang1, Jinhan Shu2, Kan Yuan1
1School of Digital Media, Shenzhen Polytechnic University, Shenzhen 518055, Guangdong, China
2Postdoctoral Mobile Station of Journalism and communication, Fudan University, Shanghai 200433, Shanghai, China