A SCI Analysis Model: Research on Influencing Factors of Local E-Government Responsiveness in China

Shaoqing Tian,Rongrong He,Chongli Huang,Fan Jiang,Qiong Feng,Lijun Pei

doi:10.1155/2021/6654354

Abstract

In order to explore the influencing factors of the e-government responsiveness in China, the System-Competition-Interaction analysis model was proposed to reflect the ability of e-government to respond to citizens’ demands. 960 pieces of information were collected from 480 local e-government websites in China, and field experiments were conducted on how local governments responded to citizens’ demands. The results show that there are regional differences in e-government responsiveness in China. The response probability of Northeast China is the lowest, and that of western region is the slowest. The response system and neighborhood effect are the core elements that affect e-government responsiveness. The interaction demands of citizens can not significantly affect government responsiveness. According to the research results, the practical enlightenment is that the future should change from “system-driven response” and “competition-driven response” to “citizen-driven response,” which is of a certain practical significance for improving the response level of e-government of local governments in China.

Highlights

It is the active response of the public sector and the administrative personnel as the respondent to the citizens’ demands as the respondent
(1) In our field experiment, 839 appeals were submitted successfully, and 121 appeals failed due to problems such as the government website which could not be opened or registration was blocked, with a success rate of 87%. (2) A total of 417 valid responses were received from the government, with a response rate of about 50% (417/839). (3) e average response speed is 25.76, which indicates that most of the appeals have been responded quickly. (4) e average response quality is 3.81, which is at a medium level
(5) Comparing the response levels of different levels of local governments, it is found that the response rate of prefecturelevel city governments is slightly higher than county-level cities, but the response speed and response quality scores of county-level city governments are higher than prefecturelevel cities

Summary

Introduction

It is the active response of the public sector and the administrative personnel as the respondent to the citizens’ demands as the respondent. Existing research results show that E-GR is affected by multiple factors such as the government itself, the characteristics of citizens, the issues of appeal, and the external environment. As the main body of appeal and the response object of the government, citizens’ own gender, race, and other attributes, political participation ability, and influence will have a greater impact on the government response [2,3,4,5,6]. The external environment in which the government interacts with citizens is a key factor affecting the government’s response, such as the pressure from the superior government, the competition among peers, the level of regional informatization, and public opinion supervision [3, 7,8,9,10]

Objectives

Results

Conclusion