当代金融研究2026，Vol.9Issue(1)：63-77,15.DOI:10.20092/j.cnki.ddjryj.2026.01.005
数据要素影子价格与资源诅咒破解
Data Element Shadow Price and Resource Curse Crack
摘要
Abstract
Breaking the resource curse is pivotal for achieving stable,diversified,and sustainable economic growth.By integrating data as a factor of production into the theoretical framework of total factor productivity,we introduce the concept of the data element shadow price.This metric quantifies the marginal rate of technical substitution between data and capital.Utilizing data from 86 prefecture-level cities in China's western regions between 2010 and 2022,we empirically examine the re-lationship between the data element shadow price and the resource curse.Our find-ings indicate:(1)The data element shadow price effectively alleviates the resource curse,confirming data's role in optimizing resource allocation and utilization.(2)This alleviating effect is more pronounced in regions with a strong clean energy ad-vantage and in areas with comparatively weaker political-business relationships.(3)The data element shadow price exhibits energy-saving,substitution,and multiplier effects,mitigating the resource curse by reducing energy intensity,decreasing the proportion of liquid assets,and fostering deeper financial development.In the digital era,it is imperative to establish robust foundational systems for data factor mar-kets,implement differentiated data empowerment strategies tailored to regional en-dowments,and deepen the integration of data factors across key sectors such as production and finance.This approach offers a viable pathway for resource-depend-ent regions to overcome the resource curse and attain high-quality development.关键词
数据要素影子价格/资源诅咒/边际技术替代率/可持续发展Key words
Data Element Shadow Price/Resource Curse/Marginal Rate of Techni-cal Substitution/Sustainable Development分类
管理科学引用本文复制引用
郭光庭,杨韶艳..数据要素影子价格与资源诅咒破解[J].当代金融研究,2026,9(1):63-77,15.基金项目
国家自然科学基金项目"智能赋能:数字化转型、智力资本与企业绿色发展"(72462028) （72462028）
宁夏回族自治区重点研发计划(软科学)项目"提升宁夏开放创新协同联动效能政策优化研究"(2023BSB03010) （软科学）
宁夏高等学校一流学科建设项目(理论经济学学科)(NXYLXK2017B04). （理论经济学学科）
