Purpose: This paper aims to assess if the extent of openness and the coverage of data sets released by European governments have a significant impact on citizen trust in public institutions.Design/methodology/approach...Purpose: This paper aims to assess if the extent of openness and the coverage of data sets released by European governments have a significant impact on citizen trust in public institutions.Design/methodology/approach: Data for openness and coverage have been collected from the Open Data Inventory 2018(ODIN), by Open Data Watch;institutional trust is built up as a formative construct based on the European Social Survey(ESS), Round 9. The relations between the open government data features and trust have been tested on the basis of structural equation modelling(SEM).Findings: The paper reveals that as European governments improve data openness, disaggregation, and time coverage, people tend to trust them more. However, the size of the effect is still small and, comparatively, data coverage effect on citizens' confidence is more than twice than the impact of openness.Research limitations: This paper analyzes the causal effect of Open Government Data(OGD) features captured in a certain moment of time. In upcoming years, as OGD is implemented and a more consistent effect on people is expected, time series analysis will provide with a deeper insight.Practical implications: Public officers should continue working in the development of a technological framework that contributes to make OGD truly open. They should improve the added value of the increasing amount of open data currently available in order to boost internal and external innovations valuable both for public agencies and citizens.Originality/value: In a field of knowledge with little quantitative empirical evidence, this paper provides updated support for the positive effect of OGD strategies and it also points out areas of improvement in terms of the value that citizens can get from OGD coverage and openness.展开更多
The processing of data such as personal information constitute the infrastructure of automated administration.Under the multi-legal requirements for personal information protection,data security,and algorithm governan...The processing of data such as personal information constitute the infrastructure of automated administration.Under the multi-legal requirements for personal information protection,data security,and algorithm governance,the legal regulation of such administrative activities should pursue the value goal of balancing the use and protection of personal information,promoting the efficient,safe,and orderly flow of personal information,and forming a standardized order for the use of personal information,and build a systematic public governance mechanism.From the perspective of reflective law,the personal information governance of automated administration shall promote its self-regulation under the stimulation of external regulation.Fundamental rights are a combination of dual reflective structures of the political system and the legal system,forming the constitutional basis for the self-regulation of automated administration.The personal information protection system and digital administrative law are external regulations from the legal system,forming the legal basis and providing automated administration with scenario-based and classified governance ideas.The government data scenario focuses on the standardized governance of personal information processing activities.It takes the principles of fair information practice as its basic framework and the necessity to perform statutory duties as its legal basis.The algorithmic decision-making scenario forms its framework system based on the principle of algorithmic due process,which clarifies the information subject’s right not to be subject to automated decision-making and the mechanism for exercising the rights.It establishes the information flow order in public algorithms based on the procedural law regulations of prior algorithm designs.展开更多
Purpose:This research endeavors to investigate the impact of open government data on corporate investment,emphasizing the exploration of underlying mechanisms,heterogeneous effects,and implications for investment effi...Purpose:This research endeavors to investigate the impact of open government data on corporate investment,emphasizing the exploration of underlying mechanisms,heterogeneous effects,and implications for investment efficiency.Utilizing the implementation of government data open platforms as a quasi-natural experiment,this study aims to elucidate how public data transparency affects firms’investment decisions and resource allocation.Design/methodology/approach:This study employs a staggered Difference-in-Differences(DID)model as its principal methodological framework.This approach facilitates causal inference by examining the differential changes in corporate investment between firms influenced by the data openness policy and those that remain unaffected over time.Findings:The findings indicate that open government data substantially enhance corporate investment levels.A mechanistic analysis identifies three principal channels through which this effect is mediated:alleviation of overall financing constraints,reduction of financing costs,and expansion of the financing scale.A heterogeneity analysis suggests that the positive impact is more pronounced in state-owned enterprises,high-tech firms,and companies experiencing elevated levels of macroeconomic uncertainty.Moreover,the transparency of government data improves the responsiveness of corporate investment to emerging opportunities,thereby augmenting the overall efficiency of corporate investment.Research limitations:This study primarily examined the influence of government data transparency on corporate investment,while not accounting for the effects of macroeconomic variability,internal corporate governance frameworks,and industry-specific regulatory policies.Practical implications:Government open data platforms can effectively boost corporate investment and resource allocation.Policymakers should focus on improving the quality and accessibility of these data,especially in areas with high economic uncertainty,to support business investments.Firms,particularly high-tech and financially constrained firms,can use open data to ease capital limitations and find investment opportunities.Regulators should promote data transparency to enhance economic vitality through efficient corporate investments.Originality/value:This study enhances the existing literature by offering causal evidence of the impact of open government data on corporate investment,a subject that has been relatively underexplored empirically.By employing a quasi-natural experiment centered on the implementation of government data platforms,this study adopts a robust methodological approach to address endogeneity issues,thereby advancing methodological rigor in investigations of public data governance and corporate behavior.展开更多
As an important facilitator in e-government and society in general,Open SDI merits an assessment of its characteristics and the monitoring of its development.The aim of the study was the proposal of the SDI openness a...As an important facilitator in e-government and society in general,Open SDI merits an assessment of its characteristics and the monitoring of its development.The aim of the study was the proposal of the SDI openness assessment approach based on existing openness assessment frameworks,as well as the presentation of the Polish Spatial Data Infrastructure(PSDI)development towards openness.The results indicated that ten geodetic and cartographic databases fulfilled ten out of eleven criteria of data openness,according to the methodological assumptions,and reached a 3-star level of openness.The need for further development of the infrastructure towards sharing public administration data is recognized,as well as non-governmental data that meet the open data criteria,thus contributing to the openness of the SDI.The proposed assessment method,referenced to a five-level data openness system and providing clear scoring benchmarking for assessing SDI openness,may be used for comparative analysis of SDI openness in different countries,including EU Member States that draw on the experience of the implementation of the INSPIRE Directive.展开更多
Data is a key factor of production in the so-called"digital economy"era.Thus,it is important to promote government data opening and sharing to advance the high-quality development of a digital economy.The ar...Data is a key factor of production in the so-called"digital economy"era.Thus,it is important to promote government data opening and sharing to advance the high-quality development of a digital economy.The article first constructs an evolutionary game model of government data opening and sharing(with local governments and enterprises as game participants)by combining realistic scenarios and evolutionary game models.Then,it discusses the evolutionary stabilization strategies under different scenarios in a categorical manner.Finally,it uses MATLAB to conduct numerical simulations to verify the accuracy of the model and analyze the key influencing factors.Several results were obtained.(1)the optimal evolutionary path to promote government data opening and sharing is for enterprises to choose to"use data"and for local governments to choose the"positive sharing"strategy,and the enterprises'decision is the internal driver.(2)The value of data assets provided by local governments when applying the"positive sharing"strategy,the cost of data used by enterprises,and the data value conversion rate of enterprises are the key factors influencing the decisions of both parties.To promote open sharing and exploitation of government data,enterprises should enhance their independent innovation capabilities,while governments should enhance the value of data assets and continuously optimize their business environments.展开更多
The management and application of government data are the bases for the construction of a digital government.Building an intelligent platform for government data by using artificial intelligence,blockchain,and other t...The management and application of government data are the bases for the construction of a digital government.Building an intelligent platform for government data by using artificial intelligence,blockchain,and other technical means to achieve open sharing,development,and utilization of data is an important link to promote continuously the construction of a digital government and improve the level of government management and service efficiency.According to the current construction status of government data platforms and the application prospect of blockchain technology,this study proposes to build a blockchain-based intelligent platform for government data.In combination with the technical advantages of blockchain,this study investigates the theory and technical logic of building a blockchain-based intelligent platform for government data and then proposes the theoretical model,architecture,operation mechanism,and core technology of platform construction.This study explores sthe implementation path of building a blockchain-based intelligent platform for government data from five aspects,i.e.,promoting technology upgrading,improving top-level design,strict supervision and regulation,strengthening collaborative research and judgment,and improving technical support.展开更多
For many government departments,uncertainty aversion is a source of barriers in the advancement of data openness.A more active response to potential risks is needed and necessitates an in-depth examination of risks re...For many government departments,uncertainty aversion is a source of barriers in the advancement of data openness.A more active response to potential risks is needed and necessitates an in-depth examination of risks related to open government data(OGD).With a cross-case study in which three cases from the United Kingdom,the United States and China are examined,this study identifies potential risks that might emerge at different stages of the lifecycle of OGD programs and constructs a taxonomy model for them.The taxonomy model distinguishes the“risks from OGD”from the“risks to OGD”,which can help government departments make better responses.Finally,risk response strategies are suggested based on the research results.展开更多
文摘Purpose: This paper aims to assess if the extent of openness and the coverage of data sets released by European governments have a significant impact on citizen trust in public institutions.Design/methodology/approach: Data for openness and coverage have been collected from the Open Data Inventory 2018(ODIN), by Open Data Watch;institutional trust is built up as a formative construct based on the European Social Survey(ESS), Round 9. The relations between the open government data features and trust have been tested on the basis of structural equation modelling(SEM).Findings: The paper reveals that as European governments improve data openness, disaggregation, and time coverage, people tend to trust them more. However, the size of the effect is still small and, comparatively, data coverage effect on citizens' confidence is more than twice than the impact of openness.Research limitations: This paper analyzes the causal effect of Open Government Data(OGD) features captured in a certain moment of time. In upcoming years, as OGD is implemented and a more consistent effect on people is expected, time series analysis will provide with a deeper insight.Practical implications: Public officers should continue working in the development of a technological framework that contributes to make OGD truly open. They should improve the added value of the increasing amount of open data currently available in order to boost internal and external innovations valuable both for public agencies and citizens.Originality/value: In a field of knowledge with little quantitative empirical evidence, this paper provides updated support for the positive effect of OGD strategies and it also points out areas of improvement in terms of the value that citizens can get from OGD coverage and openness.
基金2021 National Social Science Fund of China Major Project“Research on the Social Impact of Internet Platforms and Its Governance Path”(Project approval Number 21&ZD195)the“Research on Legal Issues of Anti-terrorism Legislation and Human Rights Protection”under Shandong Provincial Youth Innovation Team Development Program for Universities(Project Number 2022RW016)of the Shandong Provincial Department of Education in 2022。
文摘The processing of data such as personal information constitute the infrastructure of automated administration.Under the multi-legal requirements for personal information protection,data security,and algorithm governance,the legal regulation of such administrative activities should pursue the value goal of balancing the use and protection of personal information,promoting the efficient,safe,and orderly flow of personal information,and forming a standardized order for the use of personal information,and build a systematic public governance mechanism.From the perspective of reflective law,the personal information governance of automated administration shall promote its self-regulation under the stimulation of external regulation.Fundamental rights are a combination of dual reflective structures of the political system and the legal system,forming the constitutional basis for the self-regulation of automated administration.The personal information protection system and digital administrative law are external regulations from the legal system,forming the legal basis and providing automated administration with scenario-based and classified governance ideas.The government data scenario focuses on the standardized governance of personal information processing activities.It takes the principles of fair information practice as its basic framework and the necessity to perform statutory duties as its legal basis.The algorithmic decision-making scenario forms its framework system based on the principle of algorithmic due process,which clarifies the information subject’s right not to be subject to automated decision-making and the mechanism for exercising the rights.It establishes the information flow order in public algorithms based on the procedural law regulations of prior algorithm designs.
基金supported by the following grants:National Natural Science Foundation of China(Grant No.72271147)Natural Science Foundation of Guangdong Province(Grant No.2022A1515010573)+3 种基金STU Scientific Research Initiation(Grant No.STF21005STF21004)the Philosophy and Social Science Planning Project of Guangdong Province(Grant No.GD21CGL12GD23XYJ76).
文摘Purpose:This research endeavors to investigate the impact of open government data on corporate investment,emphasizing the exploration of underlying mechanisms,heterogeneous effects,and implications for investment efficiency.Utilizing the implementation of government data open platforms as a quasi-natural experiment,this study aims to elucidate how public data transparency affects firms’investment decisions and resource allocation.Design/methodology/approach:This study employs a staggered Difference-in-Differences(DID)model as its principal methodological framework.This approach facilitates causal inference by examining the differential changes in corporate investment between firms influenced by the data openness policy and those that remain unaffected over time.Findings:The findings indicate that open government data substantially enhance corporate investment levels.A mechanistic analysis identifies three principal channels through which this effect is mediated:alleviation of overall financing constraints,reduction of financing costs,and expansion of the financing scale.A heterogeneity analysis suggests that the positive impact is more pronounced in state-owned enterprises,high-tech firms,and companies experiencing elevated levels of macroeconomic uncertainty.Moreover,the transparency of government data improves the responsiveness of corporate investment to emerging opportunities,thereby augmenting the overall efficiency of corporate investment.Research limitations:This study primarily examined the influence of government data transparency on corporate investment,while not accounting for the effects of macroeconomic variability,internal corporate governance frameworks,and industry-specific regulatory policies.Practical implications:Government open data platforms can effectively boost corporate investment and resource allocation.Policymakers should focus on improving the quality and accessibility of these data,especially in areas with high economic uncertainty,to support business investments.Firms,particularly high-tech and financially constrained firms,can use open data to ease capital limitations and find investment opportunities.Regulators should promote data transparency to enhance economic vitality through efficient corporate investments.Originality/value:This study enhances the existing literature by offering causal evidence of the impact of open government data on corporate investment,a subject that has been relatively underexplored empirically.By employing a quasi-natural experiment centered on the implementation of government data platforms,this study adopts a robust methodological approach to address endogeneity issues,thereby advancing methodological rigor in investigations of public data governance and corporate behavior.
基金supported by a statutory grant from the Military University of Technology,no.UGB 502-4000-22-871.
文摘As an important facilitator in e-government and society in general,Open SDI merits an assessment of its characteristics and the monitoring of its development.The aim of the study was the proposal of the SDI openness assessment approach based on existing openness assessment frameworks,as well as the presentation of the Polish Spatial Data Infrastructure(PSDI)development towards openness.The results indicated that ten geodetic and cartographic databases fulfilled ten out of eleven criteria of data openness,according to the methodological assumptions,and reached a 3-star level of openness.The need for further development of the infrastructure towards sharing public administration data is recognized,as well as non-governmental data that meet the open data criteria,thus contributing to the openness of the SDI.The proposed assessment method,referenced to a five-level data openness system and providing clear scoring benchmarking for assessing SDI openness,may be used for comparative analysis of SDI openness in different countries,including EU Member States that draw on the experience of the implementation of the INSPIRE Directive.
基金the Major Programs of the National Social Science Foundation of China(No.19ZDA348).
文摘Data is a key factor of production in the so-called"digital economy"era.Thus,it is important to promote government data opening and sharing to advance the high-quality development of a digital economy.The article first constructs an evolutionary game model of government data opening and sharing(with local governments and enterprises as game participants)by combining realistic scenarios and evolutionary game models.Then,it discusses the evolutionary stabilization strategies under different scenarios in a categorical manner.Finally,it uses MATLAB to conduct numerical simulations to verify the accuracy of the model and analyze the key influencing factors.Several results were obtained.(1)the optimal evolutionary path to promote government data opening and sharing is for enterprises to choose to"use data"and for local governments to choose the"positive sharing"strategy,and the enterprises'decision is the internal driver.(2)The value of data assets provided by local governments when applying the"positive sharing"strategy,the cost of data used by enterprises,and the data value conversion rate of enterprises are the key factors influencing the decisions of both parties.To promote open sharing and exploitation of government data,enterprises should enhance their independent innovation capabilities,while governments should enhance the value of data assets and continuously optimize their business environments.
文摘The management and application of government data are the bases for the construction of a digital government.Building an intelligent platform for government data by using artificial intelligence,blockchain,and other technical means to achieve open sharing,development,and utilization of data is an important link to promote continuously the construction of a digital government and improve the level of government management and service efficiency.According to the current construction status of government data platforms and the application prospect of blockchain technology,this study proposes to build a blockchain-based intelligent platform for government data.In combination with the technical advantages of blockchain,this study investigates the theory and technical logic of building a blockchain-based intelligent platform for government data and then proposes the theoretical model,architecture,operation mechanism,and core technology of platform construction.This study explores sthe implementation path of building a blockchain-based intelligent platform for government data from five aspects,i.e.,promoting technology upgrading,improving top-level design,strict supervision and regulation,strengthening collaborative research and judgment,and improving technical support.
文摘For many government departments,uncertainty aversion is a source of barriers in the advancement of data openness.A more active response to potential risks is needed and necessitates an in-depth examination of risks related to open government data(OGD).With a cross-case study in which three cases from the United Kingdom,the United States and China are examined,this study identifies potential risks that might emerge at different stages of the lifecycle of OGD programs and constructs a taxonomy model for them.The taxonomy model distinguishes the“risks from OGD”from the“risks to OGD”,which can help government departments make better responses.Finally,risk response strategies are suggested based on the research results.
