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学者姓名：唐勇
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Abstract ：
It is an inevitable trend for the development of global digital economy to transform data into data assets and realize their transaction circulation. Aiming at the release of data value and the development of its transaction process, the concept of integrated score of data is proposed by combining integrated quality index containing four dimensions with data quantity. On this basis, data assets are priced according to the principle of profit maximization by constructing a nonlinear programming model. Among them, three types of pricing models are divided according to the heterogeneity of consumers' utility sensitivity, and the consumers' wiilingness to pay are adjusted based on business parameters using FAHP system. The proposed model is verified with the data of China's carbon emissions as the original data, combined with the KNN machine learning algorithm and a series of simulation analyses. In addition, multiple sets of heterogeneous data are tested. The results show that the quality, quantity and utility of data have an important impact on the pricing of data assets, and it is necessary to divide the utility sensitivity of consumers as well as take business parameters into consideration. The model proposed can also provide decision-making reference for data platforms.
Keyword ：
Accuracy Accuracy Business Business Costs Costs Data/Information Data/Information Data integrity Data integrity Data models Data models Evaluation/methodology Evaluation/methodology Feature extraction or construction Feature extraction or construction Financial Financial Machine learning Machine learning Marketing Marketing Mathematical models Mathematical models Model Validation and Analysis Model Validation and Analysis Nearest neighbor methods Nearest neighbor methods Pricing Pricing Sensitivity Sensitivity Simulation Output Analysis Simulation Output Analysis Training Training
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| GB/T 7714 | Lin, Juanjuan , Huang, Zhigang , Tang, Yong . Pricing for Data Assets Based on Data Quality, Quantity and Utility on the Perspective of Consumer Heterogeneity [J]. | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING , 2025 , 37 (6) : 3641-3652 . |
| MLA | Lin, Juanjuan 等. "Pricing for Data Assets Based on Data Quality, Quantity and Utility on the Perspective of Consumer Heterogeneity" . | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 37 . 6 (2025) : 3641-3652 . |
| APA | Lin, Juanjuan , Huang, Zhigang , Tang, Yong . Pricing for Data Assets Based on Data Quality, Quantity and Utility on the Perspective of Consumer Heterogeneity . | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING , 2025 , 37 (6) , 3641-3652 . |
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本文基于 2013-2021年我国 298个地级市面板数据,采用数据包络模型测算地区数据要素市场化指标,并结合渐进双重差分模型,实证探究数据交易所设立对数据要素市场化的影响与机制.研究发现:设立数据交易所显著提高了所在城市的数据要素市场化水平;异质性分析表明,2017 年前设立的、处于省会城市的以及较为活跃的数据交易所更能促进数据要素市场化;机制分析表明,优化产业结构和促进科技人才集聚是数据交易所提高数据要素市场化的重要渠道.
Keyword ：
产业结构升级 产业结构升级 数据交易所 数据交易所 数据要素市场化 数据要素市场化 科技人才集聚 科技人才集聚
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| GB/T 7714 | 朱康 , 唐勇 , 刘恬恺 . 数据要素市场化进程研究 [J]. | 现代金融研究 , 2025 , 30 (2) : 49-60 . |
| MLA | 朱康 等. "数据要素市场化进程研究" . | 现代金融研究 30 . 2 (2025) : 49-60 . |
| APA | 朱康 , 唐勇 , 刘恬恺 . 数据要素市场化进程研究 . | 现代金融研究 , 2025 , 30 (2) , 49-60 . |
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Abstract ：
本文基于2013-2021年我国298个地级市面板数据，采用数据包络模型测算地区数据要素市场化指标，并结合渐进双重差分模型，实证探究数据交易所设立对数据要素市场化的影响与机制。研究发现：设立数据交易所显著提高了所在城市的数据要素市场化水平；异质性分析表明，2017年前设立的、处于省会城市的以及较为活跃的数据交易所更能促进数据要素市场化；机制分析表明，优化产业结构和促进科技人才集聚是数据交易所提高数据要素市场化的重要渠道。
Keyword ：
产业结构升级 产业结构升级 数据交易所 数据交易所 数据要素市场化 数据要素市场化 科技人才集聚 科技人才集聚
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| GB/T 7714 | 朱康 , 唐勇 , 刘恬恺 . 数据要素市场化进程研究——来自数据交易所设立的证据 [J]. | 现代金融研究 , 2025 , 30 (02) : 49-60 . |
| MLA | 朱康 等. "数据要素市场化进程研究——来自数据交易所设立的证据" . | 现代金融研究 30 . 02 (2025) : 49-60 . |
| APA | 朱康 , 唐勇 , 刘恬恺 . 数据要素市场化进程研究——来自数据交易所设立的证据 . | 现代金融研究 , 2025 , 30 (02) , 49-60 . |
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The circular economy (CE) has acquired significant interest for its potential to contribute to sustainable development (SD). The present study utilizes empirical methodology, specifically panel data analysis, to examine the distinct effects and outcomes of the circular economy and its associated factors within a unified framework. The focus is on the G20 countries from 2008 to 2021. We evaluated the influence of various CE value sources (renewable energy consumption, composting rate, repair services availability, recycling rate) and a factor-analysis-derived measure of the CE on economic, environmental, and social aspects of SD. The objective was to assess the distinct effects and outcomes of CE and its components in a unified framework-the analysis utilized panel data from G20 countries from 2008 to 2021. Our findings show a substantial influence of CE in achieving SD, with positive implications for the economy, environment, and society. However, the impact of each CE value source on the SD dimensions shows variation. While renewable energy consumption (RENEC) and composting rate (CR) lessen environmental impact, recycling rate (RR) shows no significant effect, and repair services availability (RSA) increases the Ecological Footprint (EFP). Notably, RSA is the sole CE component, showing a positive economic impact at the national level. Additionally, RENEC, RSA, and RR contribute to reducing the inflation rate (INFR). Policymakers should undertake detailed impact assessments to develop effective, tailored strategies based on each country's unique goals. The findings of this study have important policy implications, particularly in terms of emphasizing targeted strategies for implementing CE practices to achieve sustainable development.
Keyword ：
Circular economy Circular economy Ecological footprint Ecological footprint G20 economies G20 economies Inflation rate Inflation rate Renewable energy consumption Renewable energy consumption
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| GB/T 7714 | Cai, Zhanpeng , Tang, Yong , Lin, Juanjuan . Exploring the impact of circular economy practices on ecological footprint, inflation rate, and renewable energy consumption: evidence from G20 economies [J]. | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , 2024 . |
| MLA | Cai, Zhanpeng 等. "Exploring the impact of circular economy practices on ecological footprint, inflation rate, and renewable energy consumption: evidence from G20 economies" . | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2024) . |
| APA | Cai, Zhanpeng , Tang, Yong , Lin, Juanjuan . Exploring the impact of circular economy practices on ecological footprint, inflation rate, and renewable energy consumption: evidence from G20 economies . | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , 2024 . |
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随着数据规模的不断扩大,数据质量问题不断涌现.数据质量究竟如何评估才能合理体现数据实际适用情况,适应数据要素市场化需要,为数据资产定价、估值提供合适的评估方法.本文从应用场景出发,构建数据质量指标体系,根据指标累计权重剔除低影响的指标.在简单比率法的基础上,构建异质偏好效用函数对不同维度的数据质量进行评估,并采用组合赋权法确定权重,计算综合评估得分.最后以我国碳试点市场公布的交易数据为例进行实证分析,结合CNN-LSTM模型估计数据效用,降低评估过程中的主观性.研究结果表明,在数据应用过程中,数据使用者对不同维度的数据质量问题具有不同的容忍度,即存在异质风险偏好.该方法能够有效反馈数据真实适用程度,为数据资产价值评估提供依据.本文立足于数据可用性,结合效用提出非线性的数据质量评估方法,以期为数据质量评估提供新思路.
Keyword ：
CNN-LSTM CNN-LSTM 效用函数 效用函数 数据质量 数据质量 组合赋权 组合赋权 综合评估 综合评估
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| GB/T 7714 | 唐勇 , 李东鹏 , 林娟娟 . 基于效用的数据质量综合评估方法探讨 [J]. | 财会月刊 , 2024 , 45 (16) : 110-116 . |
| MLA | 唐勇 等. "基于效用的数据质量综合评估方法探讨" . | 财会月刊 45 . 16 (2024) : 110-116 . |
| APA | 唐勇 , 李东鹏 , 林娟娟 . 基于效用的数据质量综合评估方法探讨 . | 财会月刊 , 2024 , 45 (16) , 110-116 . |
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数字经济全球化时代,跨境数据流动成为促进经济高质量发展的新动能,催生各地区构建跨境数据流动规则以激活数据要素潜能.RCEP成为我国首个纳入放松跨境数据流动和限制数据本地化条款的区域贸易协议,标志着我国在跨境数据流动规则制定上放松了对数据跨境流转的限制.然而政策层面上支持数据跨境流动是否有利于促进我国制造业创新发展,当前学者鲜有涉猎.本文以RCEP的签订为准自然实验,结合广义双重差分模型,从企业合规成本和生产效率两个渠道量化跨境数据流动对我国制造业企业创新能力的影响.研究发现:跨境数据流动显著提高了我国制造业创新产出和创新效率;异质性分析发现跨境数据流动对企业实质性创新的影响大于策略性创新,而管理层拥有IT背景、企业数字化转型更有助于促进跨境数据流动的创新溢出;机制分析表明跨境数据流动通过提高企业生产效率来增强企业创新产出和效率,但是通过企业合规成本渠道只能提高创新产出而不能提高企业创新效率.本文首次利用广义双重差分方法测算跨境数据流动的创新溢出效应,为我国未来制定更高标准的数据流动规则以推动企业科技创新提供政策参考.
Keyword ：
RCEP RCEP 创新产出 创新产出 创新效率 创新效率 合规成本 合规成本 生产效率 生产效率 跨境数据流动 跨境数据流动
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| GB/T 7714 | 朱康 , 唐勇 , 刘恬恺 . 跨境数据流动对制造业创新能力的影响 [J]. | 工业技术经济 , 2024 , 43 (4) : 67-77 . |
| MLA | 朱康 等. "跨境数据流动对制造业创新能力的影响" . | 工业技术经济 43 . 4 (2024) : 67-77 . |
| APA | 朱康 , 唐勇 , 刘恬恺 . 跨境数据流动对制造业创新能力的影响 . | 工业技术经济 , 2024 , 43 (4) , 67-77 . |
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The stock market serves as a macroeconomic indicator, and stock price forecasting aids investors in analysing market trends and industry dynamics. Several deep learning network models have been proposed and extensively applied for stock price prediction and trading scenarios in recent times. Although numerous studies have indicated a significant correlation between market sentiment and stock prices, the majority of stock price predictions rely solely on historical indicator data, with minimal effort to incorporate sentiment analysis into stock price forecasting. Additionally, many deep learning models struggle with handling the long-distance dependencies of large datasets. This can cause them to overlook unexpected stock price fluctuations that may arise from long-term market sentiment, making it challenging to effectively utilise long-term market sentiment information. To address the aforementioned issues, this investigation suggests implementing a new technique called Long-term Sentiment Change Enhanced Temporal Analysis (LEET) which effectively incorporates long-term market sentiment and enhances the precision of stock price forecasts. The LEET method proposes two market sentiment index estimation methods: Exponential Weighted Sentiment Analysis (EWSA) and Weighted Average Sentiment Analysis (WASA). These methods are utilized to extract the market sentiment index. Additionally, the study proposes a Transformer architecture based on ProbAttention with rotational position encoding for enhanced positional information capture of long-term emotions. The LEET methodology underwent validation using the Standard & Poor's 500 (SP500) and FTSE 100 indices. These indices accurately reflect the state of the US and UK equity markets, respectively. The experimental results obtained from a genuine dataset demonstrate that this method is superior to the majority of deep learning network architectures when it comes to predicting stock prices.
Keyword ：
Attention networks Attention networks Deep learning Deep learning Sentiment analysis Sentiment analysis Stock market prediction Stock market prediction Time series forecast Time series forecast
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| GB/T 7714 | Liao, Honglin , Huang, Jiacheng , Tang, Yong . LEET: stock market forecast with long-term emotional change enhanced temporal model [J]. | PEERJ COMPUTER SCIENCE , 2024 , 10 . |
| MLA | Liao, Honglin 等. "LEET: stock market forecast with long-term emotional change enhanced temporal model" . | PEERJ COMPUTER SCIENCE 10 (2024) . |
| APA | Liao, Honglin , Huang, Jiacheng , Tang, Yong . LEET: stock market forecast with long-term emotional change enhanced temporal model . | PEERJ COMPUTER SCIENCE , 2024 , 10 . |
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理论分析发现,资本市场定价偏离其内在价值会影响企业劳动投资效率,但在影响方向上存在促进还是抑制的不确定性.基此,利用2007-2019年中国A股非金融上市公司数据研究发现:实证结果支持了效率促进假说,资本市场错误估值每增加一个标准差,企业劳动投资效率将提高4.51％;机制检验表明,股价信息性和股权融资成本是两条促进作用渠道,前者表明管理者可以从股价中学习新的信息进而提高劳动投资决策效率,后者表明股价通过影响企业融资成本而提高劳动投资效率;资本市场错误估值既会抑制劳动过度投资,又会抑制劳动投资不足,对企业劳动投资效率的异质性影响表现为在股价高估、融资约束高和低壳溢价促进效应更显著.
Keyword ：
劳动投资效率 劳动投资效率 股价信息性 股价信息性 股价融资效应 股价融资效应 资本市场定价 资本市场定价 错误估值 错误估值
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| GB/T 7714 | 于然海 , 黄志刚 , 季国民 et al. 资本市场定价对企业劳动投资效率的影响研究 [J]. | 亚太经济 , 2023 , (5) : 33-46 . |
| MLA | 于然海 et al. "资本市场定价对企业劳动投资效率的影响研究" . | 亚太经济 5 (2023) : 33-46 . |
| APA | 于然海 , 黄志刚 , 季国民 , 唐勇 . 资本市场定价对企业劳动投资效率的影响研究 . | 亚太经济 , 2023 , (5) , 33-46 . |
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数字经济发展如何影响企业投资是当前数字经济赋能微观企业融合发展的重要议题.以2015—2020年A股非金融类上市公司为样本,实证分析数字经济发展对企业投资行为的影响,并考察管理层薪酬攀比的调节效应.研究发现,数字经济发展促进了企业的金融投资而抑制了企业的实业投资;管理层薪酬攀比会增强这种作用,且这种作用在非国有企业和融资约束程度较低的企业更加显著.进一步的中介机制研究发现,数字经济发展通过提升管理层的盈余预测促进金融投资和抑制实业投资.结论为深入研究数字经济的微观效应提供了经验证据,也为我国企业管理层薪酬定位以及防范"脱实向虚"风险给予理论指导和政策建议.
Keyword ：
投资行为 投资行为 数字经济 数字经济 盈余预测 盈余预测 薪酬攀比 薪酬攀比
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| GB/T 7714 | 唐勇 , 朱康 . 数字经济、薪酬攀比与企业投资行为 [J]. | 会计之友 , 2023 , (4) : 72-79 . |
| MLA | 唐勇 et al. "数字经济、薪酬攀比与企业投资行为" . | 会计之友 4 (2023) : 72-79 . |
| APA | 唐勇 , 朱康 . 数字经济、薪酬攀比与企业投资行为 . | 会计之友 , 2023 , (4) , 72-79 . |
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在防范化解金融风险的背景下,企业短贷长投问题受到广泛关注.基于"沪深港通"这一准自然实验,以2010—2021年我国A股上市公司为样本,采用多期双重差分模型,实证研究资本市场开放对企业投融资期限错配的影响.研究发现,资本市场开放抑制了企业短贷长投问题,缓解了企业投融资期限错配程度.中介机制分析表明,"沪深港通"通过缓解融资约束、提升分析师关注和提高市场流动性能够抑制企业短贷长投问题.进一步研究发现,当样本企业是非国有企业、董事长和总经理两职分离以及机构持股比例较高时,"沪深港通"抑制企业投融资期限错配的效果更好.研究结论为理解企业短贷长投提供了新的研究视角,对于防范化解金融风险具有实践意义;同时丰富了资本市场开放在微观领域的经济效果研究,为进一步推进资本市场纵深发展提供了经验证据.
Keyword ：
投融资期限错配 投融资期限错配 沪深港通 沪深港通 短贷长投 短贷长投 资本市场开放 资本市场开放
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| GB/T 7714 | 朱康 , 唐勇 . 资本市场开放对企业投融资期限错配的影响研究 ——基于"沪深港通"样本的多期双重差分分析 [J]. | 金融理论与实践 , 2023 , (2) : 87-96 . |
| MLA | 朱康 et al. "资本市场开放对企业投融资期限错配的影响研究 ——基于"沪深港通"样本的多期双重差分分析" . | 金融理论与实践 2 (2023) : 87-96 . |
| APA | 朱康 , 唐勇 . 资本市场开放对企业投融资期限错配的影响研究 ——基于"沪深港通"样本的多期双重差分分析 . | 金融理论与实践 , 2023 , (2) , 87-96 . |
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