基于加权平均法的我国数据要素市场发展水平测度研究

Research on Measuring the Development Level of China’s Data Factor Market Based on the Weighted Average Method

摘要: 数据要素现如今发挥着越来越重要的作用。为了能够科学系统地评价我国数据要素市场的发展水平，本文建立了4个一级指标和12个二级指标，用加权平均法对我国10个省市2023年的数据要素发展水平进行测度和比较。结果表明，我国数据要素市场整体发展水平呈现“东高西低、南优北劣”的空间格局。研究认为，加权平均法能够很好地整合多维的指标信息，提升测度结果的准确性和可靠性。本文为我国政府制定区域差异化数据要素市场发展政策提供了实证参考，也为后续开展动态监测和国际比较研究奠定了方法基础。

Abstract: Data factor nowadays plays an increasingly important role. In order to scientifically and systematically evaluate the development level of China’s data factor market, this paper establishes 4 level 1 indicators and 12 level 2 indicators, and measures and compares the development level of China’s data factor in 10 provinces and cities in 2023 by weighted average method. The results show that the overall development level of China’s data factor market presents a spatial pattern of “high in the east, low in the west, excellent in the south and poor in the north”. The study concludes that the weighted average method can well integrate multi-dimensional indicator information and improve the accuracy and reliability of the measurement results. This paper provides empirical references for the Chinese government to formulate policies for the development of regional differentiated data factor markets, and also lays the methodological foundation for subsequent dynamic monitoring and international comparative studies.