five

Impact of Digital Economy on High-quality Economic Development in Emerging Economies: A Systematic Literature Review and Meta-analysis

收藏
Mendeley Data2026-04-18 收录
下载链接:
https://data.mendeley.com/datasets/8pj3hx3ybt
下载链接
链接失效反馈
官方服务:
资源简介:
This data has been used to investigate the impact of the Digital Economy on High-Quality Economic Development in Emerging Economies. We utilize this data for a systematic literature review (SLR) and meta-analysis to examine the impact and relationship between the digital economy and HQED, following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. For a quantitative summary and overall conclusion, we used meta-analysis, retaining studies that reported vital statistics such as β, Standard Error (SE) of β, t-value, number of predictors, and number of observations. These statistics were used to calculate the effect size for the present study, which was the Partial Correlation Coefficient (PCC). The SLR for the present study included the following stages: I. Literature Search using (Scopus, Emerald, Science Direct, and WOS) and Boolean operators (AND/OR). II. Keyword Selection, i.e., Digital Economy OR Internet Economy AND HQED OR Economic Development. III. Inclusion Criteria: The timeframe was 2016-2024, and the language (English) reflects the recent focus on the digital economy in emerging economies. IV. Article Selection: Only peer-reviewed (Double Blind) journal articles were included. V. Exclusion Criteria: After examining abstracts, titles, methodologies, research areas, data analysis, and content quality, relevant papers were included. However, the papers failing to meet the criteria were excluded based on time period, subject area, access type, country, and language. The exclusion process also involved the removal of duplicates. Most articles retained for the SLR focused on China and Russia. However, only studies from China were included in the meta-analysis due to data-related constraints. Most studies did not directly report the required statistics. In such cases, the recommended approach is to contact the study authors and request the needed information. The statistical examination for this meta-analysis consisted of three parts: I. Quantitative Meta-Analysis: This part provided detailed statistics on the effect size, Confidence Interval (CI), and Prediction Interval (PI). II. Subgroup Analysis: This part examined heterogeneity and homogeneity across studies, revealing common factors influencing the results. However, the homogeneity of effect size in one group eliminated the requirement of conducting the moderator analysis, limiting our analysis to the sub-group analysis only. III. Forest Plot Generation: This part visualized the effect sizes from individual studies for the meta-analysis and subgroup analysis. Thus, this dataset has been used for extensive survey of literature and meta-analysis pertaining to the mentioned aim of the study.

本数据集曾被用于探究数字经济(Digital Economy)对新兴经济体高质量经济发展(High-Quality Economic Development, HQED)的影响。本次研究依托该数据集开展系统综述(Systematic Literature Review, SLR)与元分析(meta-analysis),以检验数字经济与HQED之间的影响关系,研究严格遵循《系统综述与元分析优先报告条目》(Preferred Reporting Items for Systematic Reviews and Meta-Analysis, PRISMA)规范。 为实现定量总结与总体结论推导,本研究采用元分析方法,保留了报告关键统计量的文献,包括回归系数β、β的标准误(Standard Error, SE)、t值、预测变量数量与观测值数量。本研究以偏相关系数(Partial Correlation Coefficient, PCC)作为效应量,通过上述统计量计算得到。 本次系统综述包含以下阶段: I. 文献检索:依托Scopus、Emerald、Science Direct与Web of Science(WOS)数据库,结合布尔运算符(AND/OR)开展检索。 II. 关键词选取:采用“数字经济(Digital Economy) OR 互联网经济 AND 高质量经济发展(HQED) OR 经济发展”作为检索式。 III. 纳入标准:时间范围限定为2016-2024年,文献语言为英语,以贴合新兴经济体数字经济的近期研究热点。 IV. 文献筛选:仅纳入经过双盲同行评议的期刊论文。 V. 排除标准:经摘要、标题、研究方法、研究领域、数据分析与内容质量审核后,符合前述标准的文献予以保留;但不符合时间范围、研究主题、获取类型、研究国家或语言要求的文献将被排除,同时剔除重复文献。 最终纳入系统综述的文献多聚焦于中国与俄罗斯,但受数据限制,元分析仅纳入来自中国的研究。多数文献未直接报告所需统计量,此时推荐的处理方式为联系原作者索要所需信息。 本次元分析的统计检验包含三部分: I. 定量元分析:该部分提供了效应量、置信区间(Confidence Interval, CI)与预测区间(Prediction Interval, PI)的详细统计数据。 II. 亚组分析:该部分检验了不同研究间的异质性与同质性,揭示了影响研究结果的共性因素。但某一组内效应量的同质性消除了调节效应分析的必要性,因此本次分析仅开展亚组分析。 III. 森林图生成:该部分可视化呈现了元分析与亚组分析中各单项研究的效应量。 综上,本数据集已被用于围绕本研究既定目标开展的大规模文献调研与元分析工作。
创建时间:
2024-06-03
二维码
社区交流群
二维码
科研交流群
商业服务