摘要
本文以成都市人民政府网络理政平台公开办理的2931封市长信件为数据源,采用基尼系数,从回应时长、回应内容和回应结果三个维度测度政府回应的城区差异,分析诉求时间、诉求领域、问政对象、制度设计四个因素对政府回应城区差异的影响。研究发现:部分回应内容要素和回应结果的城区差异较大;回应时长、回应内容、回应结果的城区差异随时间演变表现出不同态势;诉求领域是影响政府回应城区差异的结构性因素,不同领域诉求在各回应维度上的城区差异较大;问政对象和制度设计影响不同维度上的城区回应差异。
Tounderstand the status of urban operations and to resolve citizen requests,many urban governments have established e-government platforms to collect citizen requests and to issue responses.In theory,the response of urban governments to similar citizen requests should be indistinguishable,but in practice,because many requests are resolved at the district level,the district responses may be very different,which has a negative influence on the e-government platforms and reduces trust in urban government.To control and reduce the response differences,urban governments have made efforts to enhance accountability,increase transparency,and encourage competitive learning.However,the response differences have not been resolved.Previous studies show that there are differences in government responses to online requests.The response differences are affected by factors such as the time of the request,the field of the request,the target department,and the response system.However,almost of all of the previous studies focus on response differences at the case level.According to the best of our knowledge,there are few studies that focus on response differences at the district level,and no study has measured such response differences.Therefore,this article attempts to answer the following questions:a)How big are the district response differences,and can we determine a measurement indicator?b)Response differences are inevitable among different request fields.For the same field,how big are the district response differences?c)What factors affect the district response differences,and how can we control and reduce the district response differences?This article proposes adoptingthe Gini coefficient to measure the district response differences.After analyzing the government response to each case,we calculate the Gini coefficients for different districts based on three dimensions-the response duration,the response content,and the response results.The response content includes four subdimensions:a description of the investigation,a description of the handling process,a description of the handling basis,and a description of the handling of the results.With respect to those factors influencing the district response differences,four factors are chosen:request time,request field,target department,and response system.Furthermore,we collected 2931 online letters from the mailbox of the mayor of Chengdu as our data source and used STATA 15.0 to calculate the district response differences and to analyze those factors that influence the results.This study finds thatthat there are greater district response differences based on descriptions of the handling basis,descriptions of the handling results,and the response results;changes in the response duration,the response content,and the response results show different trends over time:the request field is a structural factor that affects the district response differences,but the target department and the response system also influence the district response differences.To control for and reduce the district response differences and improve the performance of the urban online government platforms,the results suggest that urban governments should establish a more specific file for the classification of citizen requests and they should establish a policy basis for each field,add the function of calculating the district response differences with the urban online government platforms,establish a quality-control mechanism,and pay more attention to balancing the response quality vis-à-vis the response duration.
作者
张会平
张兰
陈晨
张龙鹏
ZHANG Huiping;ZHANG Lan;CHEN Chen;ZHANG Longpeng(School of Public Affairs and Administration,University of Electronic Science and Technology of China)
出处
《公共管理评论》
2020年第1期46-67,共22页
China Public Administration Review
基金
国家社会科学基金项目“大数据驱动的公共服务跨层级联动创新研究”(项目批准号:17BGL263)资助
关键词
城市治理
网络问政
政府回应
城区差异
基尼系数
urban governance
e-government
responsiveness
district differences
Gini Coefficient
