| 刘枬,薛世麟,王大海.开放政府数据对全要素生产率的影响研究[J].情报工程,2024,10(5):051-060 |
| 开放政府数据对全要素生产率的影响研究 |
| Research on the Impact of Open Government Data on Total Factor Productivity |
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| DOI：10.3772/j.issn.2095-915X.2024.05.005 |
| 中文关键词: 开放政府数据；全要素生产率；双重差分模型 |
| 英文关键词: Open Government Data; Total Factor Productivity; Double Difference Model |
| 基金项目:教育部人文社会科学研究一般项目“大数据资产的定价机理、方法和规范研究”（20XJAZH007）。 |
| 作者 | 单位 | | 刘枬 | 重庆交通大学经济与管理学院 重庆 400074 | | 薛世麟 | 重庆交通大学经济与管理学院 重庆 400074 | | 王大海 | 重庆交通大学经济与管理学院 重庆 400074 |
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| 中文摘要: |
| [目的/意义]现有研究在OGD和经济增长的关系上欠缺实证研究和定量分析，难以反映和诠释其推动作用。[方法/过程]使用DEA-Malmquist指数法测算全国19个主要城市的全要素生产率，以及使用生产函数法测算了各个城市历年的资源配置效率，研究了OGD与全要素生产率之间的关系。[局限]考虑到影响全要素生产率的作用机制有欠缺，数据可能未涵盖全面，同时部分变量的缺失和测算具有一定的局限性。[结果/结论]政府数据的开放可以显著促进全要素生产率的提高，通过创新水平和优化要素配置效率的中介效应占据了开放政府数据促进全要素生产率总效应的50%以上。 |
| 英文摘要: |
| [Objective/Significance] Existing research lacks empirical research and quantitative analysis on the relationship between OGD and economic growth, making it difficult to reflect and interpret its driving role. [Methods/Processes] This article used the DEA Malmquist index method to measure the total factor productivity of 19 major cities in China, and used the production function method to measure the resource allocation efficiency of each city over the years. The relationship between OGD and total factor productivity was studied. [Limitations] Considering the lack of mechanisms that affect total factor productivity, the data may not be comprehensive, and the absence and measurement of some variables have certain limitations. [Results/Conclusions] The study found that the openness of government data can significantly promote the improvement of total factor productivity, and the mediating effect of innovation level and optimization of factor allocation efficiency accounts for more than 50% of the total effect of open government data on promoting total factor productivity. |
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