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作 者:赵一鸣
机构地区:[1]中南财经政法大学法与经济学院
出 处:《工程经济》2024年第12期28-41,共14页ENGINEERING ECONOMY
摘 要:现行法治框架已成为建设金融数据市场面临的发展堵点,尤以错误的数据划分标准为甚,高昂的流动成本使得金融数据“深藏闺中”,亟需进行制度调整。文章以法经济学理论为支撑,运用演化博弈法,根据不同数据划分标准建立两个三方博弈模型。对比演化博弈结果发现,协同治理金融数据流动尚需以下措施:重塑金融数据划分标准,回归数据本位立场;发挥政府引领作用,迈向专业数智化监管模式;激发数据市场活力,构建多重激励机制。The current legal framework has become a blockage in building financial data market,especially with erroneous data classification criteria.The expensive cost of mobility has kept financial data hidden and there is urgent to restructure the system.Supported by the theory of law and economics,two tripartite game models are established using the evolutionary game method in accordance with different data classification criteria.Comparing the results of the evolutionary game reveals that the following measures are required to collaboratively govern financial data flows.Reform the classification criteria and return to the data-oriented position;play the guiding role of the government and move towards a professionally digitalized regulatory model;stimulate the vitality of the data market and build multiple incentive mechanisms.
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