Using the CHDES database,we created the CIDI to comprehensively quantify digital adoption at the individual level and examine digitalization’s impact on individual income.Empirical analysis results indicate that incr...Using the CHDES database,we created the CIDI to comprehensively quantify digital adoption at the individual level and examine digitalization’s impact on individual income.Empirical analysis results indicate that increasing the CIDI by one standard deviation(0.13)improves individual income by 5.93 percentage points,which remains true after a series of endogeneity and robustness tests.In the heterogeneity analysis,we discovered that when digital adoption grows,residents in the countryside and county seats can earn more money through internet business operations and other channels.This helps to decrease the urban-rural income divide,but it has also pushed those digitally skilled into high-paying sectors,widening the income gaps between sectors.In the mechanism analysis,we developed an income function that takes into account the individual level of digitalization to show that digitalization can boost income by increasing working hours or labor participation and adjusting the portfolio of individual material,human,and social capital.In this paper,we have expanded the system for measuring the individual levels of digitalization by offering basic data,research methodology,and policy suggestions for the digital economy’s inclusive development.展开更多
目的基于文献计量学对国内外中药DNA条形码的相关研究进行分析,进而了解此领域研究现状,揭示研究热点和趋势以及提供参考和指导。方法收集整理Web of Science核心合集数据库和中国知网(CNKI)数据库中2000年至2023年12月31日中药DNA条形...目的基于文献计量学对国内外中药DNA条形码的相关研究进行分析,进而了解此领域研究现状,揭示研究热点和趋势以及提供参考和指导。方法收集整理Web of Science核心合集数据库和中国知网(CNKI)数据库中2000年至2023年12月31日中药DNA条形码的相关研究文献,使用CiteSpace和VOSviewer对发文量、作者、机构、关键词共现网络等进行可视化分析。结果中药DNA条形码相关研究仍处于高水平研究阶段,预计未来几年该领域研究在国内外将继续保持较高关注度。中、英文文献均形成以陈士林院士、姚辉、宋经元、孙伟等为核心的研究团队。中国中医科学院中药研究所、中国医学科学院北京协和医学院分别为中、英文文献发文量最多的机构。高效通用的植物条形码的开发、基于DNA条形码和叶绿体基因组测序的中药物种鉴定、种质资源保护、质量控制及中成药生物组分鉴定研究可能是近年的研究热点。结论广大科研工作者未来应致力开发高效通用的植物条形码,推动基于DNA条形码的中药种质资源鉴定及遗传多样性分析、药用植物全基因组和细胞器基因组测序,将DNA条形码与理化分析方法相结合以实现药材质量综合评价,进一步将DNA条形码技术引入中药全产业链,实现全程监管和可追溯。展开更多
基金supported by the Scientific Research Fund of Renmin University of China(Special Funding Support of the Basic Scientific Research Fund for Central Universities)“Digital Economy Advancing High-Quality Development:Practice and Theoretical Perspectives”(Grant No.22XNA040)Major Task Project of the Theoretical and Social Science Research of the Ministry of Education“Study on the Industrial Subsidies and Industrial Policies of Major World Economies”(Grant No.22J2D013).
文摘Using the CHDES database,we created the CIDI to comprehensively quantify digital adoption at the individual level and examine digitalization’s impact on individual income.Empirical analysis results indicate that increasing the CIDI by one standard deviation(0.13)improves individual income by 5.93 percentage points,which remains true after a series of endogeneity and robustness tests.In the heterogeneity analysis,we discovered that when digital adoption grows,residents in the countryside and county seats can earn more money through internet business operations and other channels.This helps to decrease the urban-rural income divide,but it has also pushed those digitally skilled into high-paying sectors,widening the income gaps between sectors.In the mechanism analysis,we developed an income function that takes into account the individual level of digitalization to show that digitalization can boost income by increasing working hours or labor participation and adjusting the portfolio of individual material,human,and social capital.In this paper,we have expanded the system for measuring the individual levels of digitalization by offering basic data,research methodology,and policy suggestions for the digital economy’s inclusive development.
文摘目的基于文献计量学对国内外中药DNA条形码的相关研究进行分析,进而了解此领域研究现状,揭示研究热点和趋势以及提供参考和指导。方法收集整理Web of Science核心合集数据库和中国知网(CNKI)数据库中2000年至2023年12月31日中药DNA条形码的相关研究文献,使用CiteSpace和VOSviewer对发文量、作者、机构、关键词共现网络等进行可视化分析。结果中药DNA条形码相关研究仍处于高水平研究阶段,预计未来几年该领域研究在国内外将继续保持较高关注度。中、英文文献均形成以陈士林院士、姚辉、宋经元、孙伟等为核心的研究团队。中国中医科学院中药研究所、中国医学科学院北京协和医学院分别为中、英文文献发文量最多的机构。高效通用的植物条形码的开发、基于DNA条形码和叶绿体基因组测序的中药物种鉴定、种质资源保护、质量控制及中成药生物组分鉴定研究可能是近年的研究热点。结论广大科研工作者未来应致力开发高效通用的植物条形码,推动基于DNA条形码的中药种质资源鉴定及遗传多样性分析、药用植物全基因组和细胞器基因组测序,将DNA条形码与理化分析方法相结合以实现药材质量综合评价,进一步将DNA条形码技术引入中药全产业链,实现全程监管和可追溯。
