南方财经全媒体记者马嘉璐 卓皙雯 研究员时紫萱 仇雯 吴晓燕 广州报道
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沈海表示，为进一步推动数据高效流通，畅通数据资源循环，促进数据互联互通和全国一体化数据市场培育，广州数据交易所积极响应国家数据基础设施建设工作要求，在努力建设规范高效的数据交易平台体系的同时，加强创新服务平台建设。
作为国家数据要素综合试验区之一，算力优势必须切实转化为产业优势，这也是贵州发展新兴数据产业的必然要求。目前，贵州正在探索符合区域特点的数据价值释放路径，通过“数据要素×”等方式进一步激发经营主体活力，培育了贵阳大数据交易所、数据宝、迦太利华、梦动科技等数据企业，希望壮大数据要素市场，“打造释放数据价值的标志性成果”，为西部地区推进数据要素市场化配置改革提供经验借鉴。
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“在数字经济时代，数据已成为企业最宝贵的资产之一，其潜在价值亟待挖掘与释放。如何将数据转化为实际生产力及资产，一直是行业面临的难题。”沈海表示，该数据产品不仅为企业开辟了新的融资渠道，降低了融资成本，为企业绿色转型提供了强有力的金融支持，更通过将企业碳账户数据产品化，为企业提供了一个全新的价值衡量标准，使企业能够更加直观地了解自身碳排放水平，并据此制定针对性的减排措施，为实现碳减排目标和可持续发展注入新动力。
报告通过数据分析发现，数据产品的透明度对综合得分影响显著，尤其是与稳健系数与要素密集度指标之间均存在较为显著的相关性。不过，整体来看，目前数据产品交易市场透明度得分最低，主要原因是价格透明度得分拉低了平均水平，大部分产品没有公开具体的价格，也没有明确的计费标准，信息披露仍需要继续完善。从透明度指标细分来看，上海数据交易所得分最高。
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要素密集度描述了数据产品中数据包的“大小”及“纯度”，是最能体现“数据产品”本义的一项指标。各数据交易机构在该项的得分较为均衡且普遍较高。不过，仍然存在一些产品不含有数据或很少含有数据，以及大批同系列产品字段拆分过于分散的情况。从要素密集度指标细分来看，上海数据交易所得分最高。
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报告通过数据分析发现，数据产品的透明度对综合得分影响显著，尤其是与稳健系数与要素密集度指标之间均存在较为显著的相关性。不过，整体来看，目前数据产品交易市场透明度得分最低，主要原因是价格透明度得分拉低了平均水平，大部分产品没有公开具体的价格，也没有明确的计费标准，信息披露仍需要继续完善。从透明度指标细分来看，上海数据交易所得分最高。
报告建议，数据产品交易市场需要构建市场驱动的透明生态，建立统一规范的基本信息披露标准。各指标之间的相关性表明，在公开交易平台上，越是回归数据要素价值本义的产品，对包括价格在内的信息披露态度会越开放，也更容易寻找到可落地的应用场景和市场空间。在数据交易机构的进场监管下，数据产品均已经过严格的合规审核，进一步规范信息披露机制，有助于与潜在需方达成有效沟通，推动形成“越透明越增值”的正向循环。
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《报告》研究发现，政策因素仍是当前推动各数据交易机构快速发展的关键因素，侧面反映出数据要素市场供需两端未能有效衔接、金融市场尚未做足准备迎接数据时代、数据交易市场机制仍在摸索过河等问题。上述问题将促使我国新一步实现供需双方匹配衔接，不断完善、创新、优化交易机制流程，构建规范化、标准化、透明化的数据要素生态体系，推动我国数字经济持续发展。
例如，在肇庆开新区开创性地推出“碳账户”数据产品，通过整合电源侧、电网侧、负荷侧、储能侧资源，动态采集碳排放总量，并全面记录企业在生产经营活动中的碳足迹，结合企业固定资产投资、企业研发经费支出、企业主要污染物排放量、企业用工人数四个维度的单位碳排放强度指标，赋予不同评分权重形成企业碳账户评价得分，辅助金融机构依据碳账户评级为企业靶向配套金融优惠政策，发放绿色金融信贷。
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