Research On The Influencing Factors Of The Level Of Provincial Open Government Data And Its Configuration Analysis

The opening of government data in China begins with the exploration at the local level.Recently,China’s government data opening has developed rapidly,but there are some problems in practice,such as insufficient data opening,public demand can not be satisfied,and the results of data transformation can not reach the expected results.As a complex issue,government data opening is neither a pure technical issue nor a pure resource issue.It is necessary to further identify its development context and the influencing factors that cause the difference in its development level.However,through combing the current status of open data,we can find that the ecosystem of open government data has undergone an obvious transformation.With the public’s further pursuit of public service quality and efficiency and the increase of complexity and fuzziness of open data ecosystem,multiple subjects interact and cooperate in the open data ecosystem and influence the level of local government data openness.Therefore,this thesis chooses the multiple elements involved in the open data ecosystem as the starting point to carry out research.The core problem of this thesis is to identify the factors that cause the differences in the level of provincial government data opening.And which factors play a more important role?How to improve the level of provincial government data openness?In order to answer these questions,this study firstly combined with ecosystem theory to construct an analysis framework of factors influencing the level of government data opening.Then,based on the qualitative comparative analysis method of fuzzy sets,this thesis empirically explores the influencing factors and improvement paths of the government’s open data level through "configuration analysis" in the practice of 27 local governments’ open data.The research results show that:first,a single condition variable does not constitute a necessary condition to generate a high level of government open data,which indicates that the open data level of provincial local governments is affected by the complex and synergistic effects of multiple factors.Secondly,based on qualitative comparative analysis,it is concluded that the high level of local government open data can be classified into three modes,namely "data opener-led mode","user-driven mode" and "multi-center co-creation mode".In the multiple paths and modes of action,the government’s technology management capability,policy guarantee level and social technology development capability are the core variables.This is not only a summary of the experience of the existing development path of domestic local government data opening,but also provides some reference for local governments to improve the level of government data opening.According to the above configuration path results,this thesis points out that local governments should choose the open data development path according to local conditions so as to improve the level of local government open data.This thesis has made innovative attempts in the following three aspects:firstly,this thesis uses comparative analysis to explore the internal reasons for the high and low level of provincial government data opening;Secondly,the research on open data is carried out under the framework of ecosystem,which fills the gap of the current open data research on the role of various actors in the open data ecosystem.Thirdly,this thesis adopts a hybrid method combining NCA and QCA,which is helpful to study the necessary and sufficient relationship between open data ecology and open data level.