{"title":"构建数据要素市场的SEED模型——来自中国贵阳全球大数据交易所的证据","authors":"Yuting Ye , Ailin Zhou , Xinwei Shi , Cheng Huang","doi":"10.1016/j.jdec.2023.03.002","DOIUrl":null,"url":null,"abstract":"<div><p>In the era of digital economy, the data has increasingly become one important production factor. Taking Guiyang Global Big Data Exchange (GBDEx) as an empirical case, this paper first proposes a SEED model for constructing the data factor market which mainly consists of four components: S for System rules designing which refers to the design of rules, standards, policies and laws on data transaction process; E for Exchange platform building which should be credible, controllable, reliable and traceable; E for Ecosystem nurturing that refer to diverse data suppliers, customers for data demand, data intermediaries, data regulators, and other data trading alliances should be nurtured; and D for Data convergence and co-governance refers to the convergence and co-governance of various types of data trading subjects. The SEED can also be interpreted as a process of constructing the data factor market, with the data exchange as the core, igniting the vitality of the whole data factor market like a seed. We believe this paper can make contributions to the digital economy literature: first, it contributes to extant literature on data marketplaces and data ecosystem; second, it provides practical suggestions for constructing the data factor market; third, relevant policy makers and higher-level managers will likely achieve much enlightenment from this paper.</p></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"1 3","pages":"Pages 273-283"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773067023000067/pdfft?md5=f136038447acc7d66f6496c6a16f47d0&pid=1-s2.0-S2773067023000067-main.pdf","citationCount":"1","resultStr":"{\"title\":\"A SEED model for constructing the data factor market: Evidence from Guiyang Global Big Data Exchange (GBDEx) in China\",\"authors\":\"Yuting Ye , Ailin Zhou , Xinwei Shi , Cheng Huang\",\"doi\":\"10.1016/j.jdec.2023.03.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In the era of digital economy, the data has increasingly become one important production factor. Taking Guiyang Global Big Data Exchange (GBDEx) as an empirical case, this paper first proposes a SEED model for constructing the data factor market which mainly consists of four components: S for System rules designing which refers to the design of rules, standards, policies and laws on data transaction process; E for Exchange platform building which should be credible, controllable, reliable and traceable; E for Ecosystem nurturing that refer to diverse data suppliers, customers for data demand, data intermediaries, data regulators, and other data trading alliances should be nurtured; and D for Data convergence and co-governance refers to the convergence and co-governance of various types of data trading subjects. The SEED can also be interpreted as a process of constructing the data factor market, with the data exchange as the core, igniting the vitality of the whole data factor market like a seed. We believe this paper can make contributions to the digital economy literature: first, it contributes to extant literature on data marketplaces and data ecosystem; second, it provides practical suggestions for constructing the data factor market; third, relevant policy makers and higher-level managers will likely achieve much enlightenment from this paper.</p></div>\",\"PeriodicalId\":100773,\"journal\":{\"name\":\"Journal of Digital Economy\",\"volume\":\"1 3\",\"pages\":\"Pages 273-283\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2773067023000067/pdfft?md5=f136038447acc7d66f6496c6a16f47d0&pid=1-s2.0-S2773067023000067-main.pdf\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Digital Economy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2773067023000067\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Digital Economy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2773067023000067","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
在数字经济时代,数据日益成为重要的生产要素之一。本文以贵阳全球大数据交易所(GBDEx)为实证案例,首先提出了构建数据要素市场的SEED模型,该模型主要由四个部分组成:S为系统规则设计,即对数据交易过程进行规则、标准、政策和法律的设计;E .交易所平台建设要可信、可控、可靠、可追溯;E是生态系统培育,指的是不同的数据供应商、数据需求客户、数据中介机构、数据监管机构和其他数据交易联盟;D (Data convergence and co-governance)是指各类数据交易主体的融合和共同治理。SEED也可以理解为一个构建数据因子市场的过程,以数据交换为核心,像种子一样点燃整个数据因子市场的活力。我们认为本文可以对数字经济文献做出贡献:首先,它有助于现有的数据市场和数据生态系统文献;第二,为构建数据要素市场提供了切实可行的建议;第三,相关政策制定者和高层管理者可能会从本文中得到很多启示。
A SEED model for constructing the data factor market: Evidence from Guiyang Global Big Data Exchange (GBDEx) in China
In the era of digital economy, the data has increasingly become one important production factor. Taking Guiyang Global Big Data Exchange (GBDEx) as an empirical case, this paper first proposes a SEED model for constructing the data factor market which mainly consists of four components: S for System rules designing which refers to the design of rules, standards, policies and laws on data transaction process; E for Exchange platform building which should be credible, controllable, reliable and traceable; E for Ecosystem nurturing that refer to diverse data suppliers, customers for data demand, data intermediaries, data regulators, and other data trading alliances should be nurtured; and D for Data convergence and co-governance refers to the convergence and co-governance of various types of data trading subjects. The SEED can also be interpreted as a process of constructing the data factor market, with the data exchange as the core, igniting the vitality of the whole data factor market like a seed. We believe this paper can make contributions to the digital economy literature: first, it contributes to extant literature on data marketplaces and data ecosystem; second, it provides practical suggestions for constructing the data factor market; third, relevant policy makers and higher-level managers will likely achieve much enlightenment from this paper.