{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"07d591c2-0f4c-45ac-a1d7-103c4807db8f","title":"数字经济：内涵与路径","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787521745023","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"07d591c2-0f4c-45ac-a1d7-103c4807db8f","id":"07d591c2-0f4c-45ac-a1d7-103c4807db8f","uuid":"07d591c2-0f4c-45ac-a1d7-103c4807db8f","title":"数字经济：内涵与路径","normalized_title":"数字经济内涵与路径","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787521745023","isbns":["9787521745023"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":361,"navigation_url":"https://workshop.closeclaw.top/ai/book/07d591c2-0f4c-45ac-a1d7-103c4807db8f","title_url":"https://workshop.closeclaw.top/ai/title/%E6%95%B0%E5%AD%97%E7%BB%8F%E6%B5%8E%EF%BC%9A%E5%86%85%E6%B6%B5%E4%B8%8E%E8%B7%AF%E5%BE%84","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/07d591c2-0f4c-45ac-a1d7-103c4807db8f/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/07d591c2-0f4c-45ac-a1d7-103c4807db8f/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/07d591c2-0f4c-45ac-a1d7-103c4807db8f","page_url":"https://workshop.closeclaw.top/api/ai/books/07d591c2-0f4c-45ac-a1d7-103c4807db8f/page","search_url":"https://workshop.closeclaw.top/api/ai/books/07d591c2-0f4c-45ac-a1d7-103c4807db8f/search"},"page":{"printed_page":173,"pdf_page":172,"physical_index":172,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"504b1c417ae65c6bc3e2b32a3e5d0a6495f11247b01a403ab4d0c766326cb398"},"chapter":"第四章数字生产关系","content":"（五）推动数据要素产业发展，打造高水平数据开放生态\n\n传统的要素市场比如资本市场、债券市场、期货市场、大宗商品市场等已经发展了几十年甚至几百年，而数据要素市场方面，欧美发达国家虽然信息技术局部领先，但在数据要素市场的规则制定、体系建立上，因为没有经验可以借鉴，所以大家还是几乎处于同一起跑线上。中国数据产业的发展正面临着巨大的历史机遇，推动我国大数据产业发展，释放数据红利，助力数字经济高质量增长必须考虑以下五个方面。\n\n1.做好数据要素市场的顶层设计，构建完善的大数据交易规范\n\n近年来，我国数据交易市场整体呈现蓬勃发展态势，交易平台数量和市场规模大幅增加，各类衍生服务如数据清洗、数据托管、数据技术交易等已经趋向成熟。但是从国家层面缺乏统一的大数据交易规范和交易规则，交易主体、交易标的、交易方式和交易定价都尚处于探索阶段，有必要厘清一些关键的原则性问题，为数据要素市场的发展奠定良好的基础。\n\n首先，数据交易所必须由国有资本控股，可以是政府直接出资，也可以是国有的数字化企业投资，在股权设计上可以采用多元化股权、混合所有制结构，但一定要国有控股。国有资本对数据交易所的管控不仅可以保证数据安全，还能进一步建立信任、打破数据孤岛，在交易中确保公平公正，杜绝灰色交易的发生。\n\n173","previous_page":172,"next_page":174}