This study uses a sample of A-share listed companies to investigate the impact of China's Data Basic Institutional System on capital market reactions and the mechanism by which it exerts influence.The findings rev...This study uses a sample of A-share listed companies to investigate the impact of China's Data Basic Institutional System on capital market reactions and the mechanism by which it exerts influence.The findings reveal that within a 5-day period before and after the policy announcement,listed companies with high data resources experience a significantly higher abnormal return compared to those with low data resources.Moreover,this difference becomes more pronounced as enterprise technology intensity increases.Furthermore,the policy enhances the capital market's perception of the value of data resources and its potential for generating multiplier effects.Additional tests confirm that post-implementation of the policy,the capital market reevaluates the long-term value of enterprises associated with data resources.This comprehensive examination contributes empirical evidence to support academic research,inform policy formulation,and guide strategic planning in relevantindustries.展开更多
With the advances of genome-wide sequencing technologies and bioinformatics approaches, a large number of datasets of normal and malignant erythropoiesis have been generated and made public to researchers around the w...With the advances of genome-wide sequencing technologies and bioinformatics approaches, a large number of datasets of normal and malignant erythropoiesis have been generated and made public to researchers around the world. Collection and integration of these datasets greatly facilitate basic research and clinical diagnosis and treatment of blood disorders. Here we provide a brief introduction of the most popular omics data resources of normal and malignant hematopoiesis, including some integrated web tools, to help users get better equipped to perform common analyses. We hope this review will promote the awareness and facilitate the usage of public database resources in the hematology research.展开更多
基金the project"Research on the Verification Method and Value Evaluation of Digital Assets in Enterprises"(No.22YJA630047),funded by the Humanities and Social Sciences Fund of the Ministry of Education,China。
文摘This study uses a sample of A-share listed companies to investigate the impact of China's Data Basic Institutional System on capital market reactions and the mechanism by which it exerts influence.The findings reveal that within a 5-day period before and after the policy announcement,listed companies with high data resources experience a significantly higher abnormal return compared to those with low data resources.Moreover,this difference becomes more pronounced as enterprise technology intensity increases.Furthermore,the policy enhances the capital market's perception of the value of data resources and its potential for generating multiplier effects.Additional tests confirm that post-implementation of the policy,the capital market reevaluates the long-term value of enterprises associated with data resources.This comprehensive examination contributes empirical evidence to support academic research,inform policy formulation,and guide strategic planning in relevantindustries.
基金supported by the National Key Research and Development Program of China(Grant No.2016YFC0901700)the National High-tech R&D Program of China(863 Program,Grant Nos.2015AA020101 and 2015AA020108)+1 种基金the National‘‘12th Five-Year Plan”for Science&Technology Support of China(Grant No.2013BAI01B09)the National Natural Science Foundation of China(Grant Nos.31471115 and 81670109)
文摘With the advances of genome-wide sequencing technologies and bioinformatics approaches, a large number of datasets of normal and malignant erythropoiesis have been generated and made public to researchers around the world. Collection and integration of these datasets greatly facilitate basic research and clinical diagnosis and treatment of blood disorders. Here we provide a brief introduction of the most popular omics data resources of normal and malignant hematopoiesis, including some integrated web tools, to help users get better equipped to perform common analyses. We hope this review will promote the awareness and facilitate the usage of public database resources in the hematology research.
