1. 中国社会科学院大学, 应用经济学院, 北京 102488
2. 北京市科学技术研究院, 科技智库中心, 北京 100048
3. 中国林业生态发展促进会, 中国生态发展研究院, 北京 100013
| 摘 要: | 北京市作为四个中心,是国家创新体系的重要组成部分,也是社会发展的重要动力,北京市公民科学素质成为当代社会的重要标尺。通过对北京市2015-2020年北京市公民科学素质达标率的非连续样本数据进行插补、使用经L-Q方法改进的灰色系统GM(1,1)模型测算,得到2021-2025年的北京市公民科学素质达标率,结果表明北京公民科学素质达标率稳步上升,从2024年将突破30%,2025年时将达到35.26%,远超《全民科学素质行动规划纲要(2021-2035年)》中2025年我国公民具备科学素质的比例要超过15%的目标要求以及2035年远景目标。同时,本文给出完善北京科普工作的建议:以小样本方法测算达标率发展趋势以指导工作、推动科普领域新基建与传统基建协调发展、加强科学普及体系化推进以及注重科普服务精准化供给。 |
| 关 键 词: | 科学素质达标率; L-Q; GM(1,1); 插补 |
| DOI: | 10.57237/j.wjeb.2022.01.001 |
1. School of Applied Economics, University of Chinese Academy of Social Sciences, Beijing 102488, China
2. Science and Technology Think Tank Hub, Beijing Academy of Science and Technology, Beijing 100048, China
3. Institute of Eco Development, CEDA, Beijing 100013, China
| Abstract: | As one of the four centers, Beijing is an important part of the national innovation system and an important driving force of social development. The scientific quality of Beijing citizens has become an important yardstick of contemporary society. By interpolating the discontinuous sample data of Beijing citizens' scientific quality compliance rate from 2015 to 2020 and using the grey system GM (1,1) model improved by the L-Q method to calculate, the Beijing citizens' scientific quality compliance rate from 2021 to 2025 is obtained. The results show that the Beijing citizens' scientific quality compliance rate is steadily rising, and will exceed 30% from 2024 and reach 35.26% by 2025, This is far beyond the target that the proportion of Chinese citizens with scientific quality should exceed 15% by 2025 and the long-term goal of 2035 in the outline of the action plan for the scientific quality of the whole people (2021-2035). At the same time, this paper gives suggestions to improve Beijing's science popularization work: measure the development trend of the compliance rate with the small sample method to guide the work, promote the coordinated development of new infrastructure and traditional infrastructure in the field of science popularization, strengthen the systematic promotion of science popularization, and pay attention to the accurate supply of science popularization services. |
| Keywords: | Standard Rate of Scientific Quality; L-Q; GM(1,1); Interpolation |
| [1] | 袁汝兵, 吴循. 各省(市)公众科学素养调查综述 [J]. 中国科技论坛, 2007, (5): 98~100. |
| [2] | 国务院关于印发全民科学素质行动规划纲要(2021–2035 年)的通知 [EB/OL].(2021–06–25)[2021–07–19]. http: //www.gov.cn/zhengce/content/2021–06/25/content_5620813.htm. |
| [3] | 金勇进. 缺失数据的插补调整 [J]. 数理统计与管理, 2001, 20 (6): 47~53. |
| [4] | 刘思峰, 邓聚龙. GM(1, 1)模型的适用范围[J]. 系统工程理论与实践, 2000, 20 (5): 121~124. |
| [5] | 丁松, 李若瑾, 党耀国.基于初始条件优化的GM(1, 1)幂模型及其应用 [J]. 中国管理科学, 2020, 28 (01): 153-161. |
| [6] | 刘震, 谢玉梅, 党耀国. 基于改进GM(1, 1)模型的中国脱贫攻坚进展分析[J]. 系统工程理论与实践, 2019, 39 (10): 2476-2486. |
| [7] | 亢玉晓, 肖新平.灰色GM(1, 1)派生模型病态性的差异分析[J]. 系统工程理论与实践, 2019, 39 (10): 2610-2618. |
| [8] | 李群. 不确定性数学方法研究及其在社会科学中的应用[M]. 北京: 中国社会科学出版社, 2005. |
| [9] | 曹阳, 梁爽, 沈琴琴, 施佺. 阻尼累加离散GM(1, 1)模型及其应用[J/OL].控制与决策: 1-8 [2022-09-06]. https://doi.org/10.13195/j.kzyjc.2021.1768. |
| [10] | 杨华强, 王立琼, 洪舸, 石郭, 夏唐斌. 基于多因素指数-灰色GM(1, 1)模型的能耗分析与预测 [J]. 数学的实践与认识, 2021, 51 (19): 141-151. |
| [11] | 杨鑫波, 龙勇, 曾波. 季度性用电需求预测的移动平均GM(1, 1)模型 [J]. 统计与决策, 2021, 37 (09): 168-171. |
| [12] | 李翀, 谢秀萍. 含时变时滞函数的GM(1, 1|τ_i)模型及其应用 [J]. 系统工程理论与实践, 2019, 39 (06): 1535-1549. |
| [13] | 朱洪启. 乡村振兴背景下的农民科技文化素质建设 [J]. 科普研究, 2021, 16 (04): 58-62+109. |
| [14] | 胡俊平. 产业工人科学素质提升的挑战与对策 [J]. 科普研究, 2021, 16 (04): 63-68+109. |
| [15] | 王丽慧. 老年人科学素质提升行动的思考 [J]. 科普研究, 2021, 16 (04): 69-73+86+110. |
| [16] | 李秀菊, 林利琴. 青少年科学素质的现状、问题与提升路径[J]. 科普研究, 2021, 16 (04): 52-57+108. |