{"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":248,"pdf_page":247,"physical_index":247,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"74c36b0e146435e5b17f47bc1681b60846e3c47401e638f11e9ab42b1bf4ea39"},"chapter":"第七章","content":"2.产业金融3.0阶段：产业数字金融\n\n无论是产业金融的1.0阶段还是2.0阶段，都过度依赖产业链上核心企业的主体信用，过度看重核心企业对上下游企业的确权、增信，因而只对与核心企业有供需关系的企业提供金融服务，对产业链企业服务的门槛高、范围窄、深度浅。\n\n与产业金融1.0、产业金融2.0模式相比，产业金融3.0阶段的产业数字金融依托物联网、大数据、区块链、人工智能、云计算等数字技术，解决了上述痛点。具体来说：产业数字金融根据不同行业的业务流程特点、风险特点，一行一策地定制数据采集与算法模型；通过物联网布点、企业系统无缝直连、第三方交易平台数据自动采集等多维手段，以及区块链不可篡改、可追溯的特点，一是将每一笔资产背后交易情况全数字化、透明化、可视化，对交易标的进行实时的、可信的全方位监控；二是借由物流、商流、资金流和信息流“四流合一”的数据交叉验证，完成资产穿透、交易背景验真、风险揭示，实现交易信用对金融机构传统的主体信用风控体系提供有益补充，提升风控模型的准确性。\n\n248","previous_page":247,"next_page":249}