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Research on the Independent Status of the Data Utilization Right
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作者 Zhang Ying 《Contemporary Social Sciences》 2026年第1期140-155,共16页
Among the “three data rights,” the data utilization right has been persistently overlooked, and is similar to a neglected “middle child” in the context of the data rights family. However, it is precisely during th... Among the “three data rights,” the data utilization right has been persistently overlooked, and is similar to a neglected “middle child” in the context of the data rights family. However, it is precisely during the stages of processing and utilization that data undergoes its transformations and where its economic value is ultimately created. A series of recent policy documents on treating data as a factor of production have emphasized that the building of a scientific data property rights system requires a fair and efficient mechanism for benefit distribution, which provides reasonable preference for creators of data value and use value in terms of the income generated by data elements. Constrained by the inertial thinking of property right logic, the data utilization right is often regarded as a “transitional fulcrum” wherein the holders of data resources have to authorize the operators of data products to realize data value thereby. In the future structural design and implementation of the coordination mechanism for the property right system against the backdrop of the data factor-oriented reform, the establishment of data processing and utilization as an independent right will require the implementation of two core initiatives: first, attaching importance to the independent protection of the benefit distribution;second, implementing risk regulation for data security through optimization of governance. These two initiatives will serve as the key for optimizing the data factor governance system and accelerating the release of data value. 展开更多
关键词 utilization right data property rights structure benefit distribution risk regulation
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Panel Data Based Dynamic Evaluation of Agricultural Resource Utilization Efficiency: A Case Study of Hebei Province 被引量:1
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作者 Yajuan TIAN Li ZHEN 《Asian Agricultural Research》 2013年第4期58-59,62,共3页
Resource utilization efficiency is one of important factors influencing modern agricultural development. This paper evaluates agricultural resource utilization efficiency of Hebei Province in the Eleventh Five-Year Pl... Resource utilization efficiency is one of important factors influencing modern agricultural development. This paper evaluates agricultural resource utilization efficiency of Hebei Province in the Eleventh Five-Year Plan period by dynamic comprehensive evaluation method. Evaluation results indicate that regional disparity in agricultural resource utilization efficiency is significant, and the disparity is increasing year by year. 展开更多
关键词 AGRICULTURAL RESOURCE utilization EFFICIENCY PANEL
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A Research on College English Network Teaching Resources Integration and Utilization in Big Data Era
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《International English Education Research》 2015年第4期91-93,共3页
Based on the background of "big-data-blowout", this thesis is about research on college English network teaching resources integration and utilization confronted with the chance of "data value, the data assets and ... Based on the background of "big-data-blowout", this thesis is about research on college English network teaching resources integration and utilization confronted with the chance of "data value, the data assets and data say", analyzing the inevitable challenge of "competition, digital divide and data privacy", discussing that the researchers should hold big data thinking of "peaks of road & dances with wolves & be interdependent", emphasizing the improvement from college English teacher's modem education technical information literacy[1] and putting forward to resource integration and utilization strategy in the era of big data. 展开更多
关键词 Big data College English Integration and utilization STRATEGY
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To Overcome the Obstacle of Data Exchange to Increase the Utilization Efficiency of Accounting Data
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《China Standardization》 2005年第1期10-11,共2页
On Nov.4^(th), AQSIQ (General Administration of Quality Supervision,Inspection and Quarantine of the People' s Republic of China), SAC (Standardization Administrationof China), National Audit Office of China (CNAO... On Nov.4^(th), AQSIQ (General Administration of Quality Supervision,Inspection and Quarantine of the People' s Republic of China), SAC (Standardization Administrationof China), National Audit Office of China (CNAO), and National Ministry of Finance of China jointlyheld the conference press on the national standard of Information Technology--Data Interface ofAccounting Software (GB/T 19581-2004) in Beijing. The standard was approved and issued on Sept. 20,2004 by AQSIQ and SAC, and it would come into effect all over the whole nation from January 1^(st),2005. Pu Changcheng, Vice Director of AQSIQ, Shi Aizhong, Vice Director of CNAO, Li Zhonghai. amember of the Party Group of AQSIQ and Director of SAC, the other leaders of concerned departmentssuch as National Ministry of Finance, National Telegraphy Office, and etc. attended the ConferencePress and made speeches. They fully affirmed the important significance and the achievements onstandardization work of electronic government business, and also they set new demands on the workfor the future. 展开更多
关键词 To Overcome the Obstacle of data Exchange to Increase the utilization Efficiency of Accounting data SAC
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Urban Water Resource Utilization Efficiency in China 被引量:14
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作者 SHI Tiange ZHANG Xiaolei +1 位作者 DU Hongru SHI Hui 《Chinese Geographical Science》 SCIE CSCD 2015年第6期684-697,共14页
The efficient use of water resources directly affects environmental, social, and economic development; therefore, it has a significant impact on urban populations. A slacks-based measure for data envelopment analysis ... The efficient use of water resources directly affects environmental, social, and economic development; therefore, it has a significant impact on urban populations. A slacks-based measure for data envelopment analysis (SBM-DEA) has been widely used in energy efficiency and environmental efficiency analyses in recent years. Based on this model, data from 316 cities were examined and a category method was employed involving three different sorting techniques to empirically evaluate the efficiency of urban water re- source utilization in China between 2000 and 2012. The overall efficiency (OE) of urban water resource utilization in China was initially low, but has improved over the past decade. The scale efficiency (SE) was higher than the pure technological efficiency (PTE); PTE is a major determining factor of OE, and has had an increasingly significant effect. The efficiency of water resource utilization varied ac- cording to the region, urban scale, and economic function. The OE score for the eastern China was higher than for the rest of the region, and the OE score for the western China was higher than for the central China. The OE score for urban water resource utilization has improved with urban expansion, except in the case of small cities. The SE showed an inverted U-shaped' trend with increasing urban expansion. The OE of urban water utilization in comprehensive functional cities was greater than in economic specialization cities, and was greater in heavy industry specialization cities than in other specialization cities. This study contributes to the field of urban water resource management by examining variations in efficiency with urban ~ezle 展开更多
关键词 urban water resource utilization efficiency urban scale undesirable outputs a slacks-based measure for data envelopmentanalysis (SBM-DEA) China
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A Study of the Driving Force Model Revealing Changes in Land Utilization Level Based on 3S Technologies ——The Example of Yuanmou, Yunnan, China
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作者 HEJin-feng CHENGuo-jie YANGZhong 《Wuhan University Journal of Natural Sciences》 CAS 2005年第4期791-795,共5页
This paper introduced the theory and approaches of building driving forcemodels revealing the changes in land utilization level by integrating RS, GPS, and GIS technologiesbased on the example of Yuanmou County of Yun... This paper introduced the theory and approaches of building driving forcemodels revealing the changes in land utilization level by integrating RS, GPS, and GIS technologiesbased on the example of Yuanmou County of Yunnan Province. We first created the land utilizationtype database, natural driving forces for land utilization database, and human driving forces forland utilization database. Then we obtained the dependent and the independent variables of changesin land utilization level by exploring various data. Lastly we screened major factors affectingchanges in land utilization level by using the powerful spatial correlation analysis and maincomponent analysis module of GIS and obtained a multivariable linear regression model of thechangesin land utilization level by using GIS spatial regression analysis module. 展开更多
关键词 land utilization level driving forces data exploration 3S
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China's Industrial Capacity Utilization:Sectoral Comparison,Regional Differences and Determinants
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作者 梁泳梅 董敏杰 张其仔 《China Economist》 2016年第2期109-127,共19页
Using provincial-level data, this paper has estimated capacity utilization, technical efficiency and equipment utilization for China's industrial sectors, conducted a comparative analysis of capacity utilization a... Using provincial-level data, this paper has estimated capacity utilization, technical efficiency and equipment utilization for China's industrial sectors, conducted a comparative analysis of capacity utilization across various sectors, provinces, municipalities and autonomous regions, and discussed the determinants of capacity utilization. We have reached the following conclusions:(1) China's average industrial capacity utilization stood at 69.3% between 2001 and 2011, rising for most of the time before 2008 and generally declining afterwards;(2) among the two sources of capacity utilization, equipment utilization is lower than technical efficiency and constitutes a major factor affecting capacity utilization, yet technical efficiency has demonstrated a significant trend of decline in recent years;(3) at the industry level, industrial capacity utilization is generally high for light industries such as textiles while generally low for mining, public utilities and heavy industries in manufacturing;(4) at the regional level, capacity utilization, technical efficiency and equipment utilization are much higher in the eastern region than in the other regions, where the levels are relatively close to each other;(5) economic growth and the level of market-based operation have a significant positive correlation with capacity utilization, while industry capital intensity, the share of output value from SOEs and local government investment intensity have a significant negative correlation with capacity utilization. 展开更多
关键词 production capacity capacity utilization technical efficiency equipmentutilization data envelopment analysis (DEA)
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Transforming waste to value:Enhancing battery lifetime prediction using incomplete data samples
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作者 Xiaoang Zhai Guohua Liu +4 位作者 Ting Lu Sihui Chen Yang Liu Jiayu Wan Xin Li 《Journal of Energy Chemistry》 2025年第7期642-649,共8页
The widespread usage of rechargeable batteries in portable devices,electric vehicles,and energy storage systems has underscored the importance for accurately predicting their lifetimes.However,data scarcity often limi... The widespread usage of rechargeable batteries in portable devices,electric vehicles,and energy storage systems has underscored the importance for accurately predicting their lifetimes.However,data scarcity often limits the accuracy of prediction models,which is escalated by the incompletion of data induced by the issues such as sensor failures.To address these challenges,we propose a novel approach to accommodate data insufficiency through achieving external information from incomplete data samples,which are usually discarded in existing studies.In order to fully unleash the prediction power of incomplete data,we have investigated the Multiple Imputation by Chained Equations(MICE)method that diversifies the training data through exploring the potential data patterns.The experimental results demonstrate that the proposed method significantly outperforms the baselines in the most considered scenarios while reducing the prediction root mean square error(RMSE)by up to 18.9%.Furthermore,we have also observed that the penetration of incomplete data benefits the explainability of the prediction model through facilitating the feature selection. 展开更多
关键词 Rechargeable batteries Battery lifetime prediction data scarcity Incomplete data utilization
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Prevalence of obsessive-compulsive disorder and related healthcare utilisation in China:a cross-sectional epidemiological survey
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作者 Bangshan Liu Junzhe Cheng +20 位作者 Zhaorui Liu Yueqin Huang Shazia Rehman Minxue Shen Jin Liu Yumeng Ju Yaqin Yu Xiufeng Xu Zhizhong Wang Yifeng Xu Tao Li Guangming Xu Xiangdong Xu Limin Wang Yongping Yan Shuiyuan Xiao Tingting Zhang Jie Yan Lingjiang Li Huifang Yin Yan Zhang 《General Psychiatry》 2025年第6期436-446,共11页
Background Obsessive-compulsive disorder(OCD)is classified by the World Health Organization as 1 of the 10 most disabling conditions.However,nationally representative epidemiological data on OCD are not yet available ... Background Obsessive-compulsive disorder(OCD)is classified by the World Health Organization as 1 of the 10 most disabling conditions.However,nationally representative epidemiological data on OCD are not yet available in China.Aims To investigate the prevalence,comorbidity,role impairment and healthcare utilisation of OCD in China.Methods The present study used a multistage clustered area probability sample to obtain representative populationbased data of adults from 157 nationwide disease surveillance points across 31 provinces in China.Trained interviewers conducted face-to-face interviews with respondents to collect information based on the Composite International Diagnostic Interview 3.0.Data weighting was performed to account for differential selection probabilities and response rates,and to post-stratify the sample to ensure its representativeness of the population in China.Results A total of 28140 respondents(12537(44.55%)males and 15603(55.45%)females)completed the diagnostic interview.Two-thirds of the respondents with liftime OCD had comorbid mental disorders,with OCD typically emerging later than the comorbidities.The most common comorbidities were mood disorders(39.67%,odds ratio(OR):9.60,95%confidence interval(CI)7.35 to 12.53)and anxiety disorders(32.75%,OR:13.33,95%CI 10.14 to 17.52).Overall,588(weighted 58.19%)respondents with obsessions or compulsions experienced role impairment,which was most severe in those reporting unspecified symptoms.Only 46(6.74%)respondents with lifetime OCD and 28(6.48%)with 12-month OCD received any healthcare services for their conditions.Conclusions The weighted lifetime and 12-month prevalence of OCD were 2.43%and 1.63%,respectively.Most patients with OCD reported comorbid mental disorders and role impairment,but very few sought healthcare services.National programmes to expand service coverage and increase awareness of OCD are essential to meet healthcare needs in China. 展开更多
关键词 COMORBIDITY Obsessive Compulsive Disorder epidemiological data PREVALENCE Role Impairment multistage clustered area probability sample China Healthcare utilization
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竞刑衔接下我国数据竞争的刑法规制研究
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作者 杨志琼 《东方法学》 北大核心 2026年第1期128-143,共16页
近年来我国数据竞争纠纷频发,导致传统反不正当竞争规则面临制度的不适应性而亟需调整。在刑法领域,这一问题具象为我国数据竞争的刑法规制存在竞争法益评价错位、竞争手段限度不清、竞争行为类型不明问题,导致规制的专门性、谦抑性、... 近年来我国数据竞争纠纷频发,导致传统反不正当竞争规则面临制度的不适应性而亟需调整。在刑法领域,这一问题具象为我国数据竞争的刑法规制存在竞争法益评价错位、竞争手段限度不清、竞争行为类型不明问题,导致规制的专门性、谦抑性、体系性不足。为适应数字经济发展需求,《反不正当竞争法》制定了专门的数据竞争条款,对数据竞争的保护法益、竞争手段和行为类型作了全面规定,为我国刑法规制数据竞争提供了新指引。在竞刑衔接视域下,未来我国数据竞争的刑法规制应对经营者数据权益进行财产权评价,以实现专门性保护;明确数据竞争手段强度的下阈值和上阈值,以实现谦抑性规制;对不正当获取、利用数据行为区分评价,以实现体系性规制。 展开更多
关键词 数据竞争 数据财产权 数字技术措施 数据获取 数据利用 数据流通
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数据资产能否纾解企业产能过剩危机?——基于数据资产信息属性和金融属性的解读
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作者 陈璇 龚绮彤 闫周府 《软科学》 北大核心 2026年第1期35-42,共8页
以2009—2023年沪深A股上市公司为样本,用双向固定效应模型探究其对产能利用率的影响及机制,借门槛模型考察其区间效应。研究发现,数据资产可通过推动技术、管理和模式变革及缓解融资约束提升企业产能利用率;调节效应分析显示,儒家文化... 以2009—2023年沪深A股上市公司为样本,用双向固定效应模型探究其对产能利用率的影响及机制,借门槛模型考察其区间效应。研究发现,数据资产可通过推动技术、管理和模式变革及缓解融资约束提升企业产能利用率;调节效应分析显示,儒家文化能强化数据资产对产能利用率的正面影响;异质性分析表明,对于大规模企业和强竞争行业企业,数据资产的去产能效应更显著。进一步分析,数据资产对产能利用率的促进作用存在区间效应,表现为市场化程度的双门槛效应和ESG表现的单门槛效应。 展开更多
关键词 数据资产 产能利用率 信息属性 金融属性
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生成式人工智能刑事规制:观念转变与路径建构
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作者 张秋芳 刘若愚 《昆明学院学报》 2026年第1期118-124,共7页
生成式人工智能逐渐从“专用人工智能”转变为“通用人工智能”,其技术的革新和类人属性特征的增强,对现行刑法提出了严峻的挑战。目前,生成式人工智能是否需要刑法对其进行规制以及如何规制的问题存在较大争议。基于生成式人工智能“... 生成式人工智能逐渐从“专用人工智能”转变为“通用人工智能”,其技术的革新和类人属性特征的增强,对现行刑法提出了严峻的挑战。目前,生成式人工智能是否需要刑法对其进行规制以及如何规制的问题存在较大争议。基于生成式人工智能“类人而非人”的基本立场,刑法规制模式应从“数据控制”转向“数据利用”:在立法层面,构建系统化的数据利用规制体系,通过增设非法分析数据罪、完善现有罪名适用场景等举措,实现数据安全的防护与平台责任的实质强化;在司法适用层面,针对算法黑箱的治理难题,建立“数据流-算法流”双轨审查模式,以及“推定因果关系+举证责任倒置”的特殊认定规则;在合规治理层面,应推动企业健全数据利用合规制度,完善数据共享伦理准则,从源头规范数据利用行为,确保人工智能技术发展与法律规制形成良性互动。 展开更多
关键词 生成式人工智能 刑法规制 刑事风险 数据控制 数据利用
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城市国土空间监测资料收集利用问题分析探讨
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作者 方川 《测绘与空间地理信息》 2026年第2期153-155,159,共4页
2023年城市国土空间监测在2022年工作基础上,进一步扩大了监测范围,增加了部分监测指标,资料的收集与分析利用方面面临许多新的情况和问题。为保证成果质量和提高工作效率,本文在介绍监测主要技术要求的基础上,以南通市通州区城市国土... 2023年城市国土空间监测在2022年工作基础上,进一步扩大了监测范围,增加了部分监测指标,资料的收集与分析利用方面面临许多新的情况和问题。为保证成果质量和提高工作效率,本文在介绍监测主要技术要求的基础上,以南通市通州区城市国土空间监测为例,介绍了资料收集与分析利用问题的处理方法,为开展相关工作提供借鉴。 展开更多
关键词 城市国土空间监测 资料收集 资料分析利用
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数字化管理在事业单位档案管理中的应用分析
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作者 许玲 《办公自动化》 2026年第2期126-128,共3页
数字中国战略给很多行业带来发展动力,此种发展背景下,事业单位的档案管理需要做好实体向数字化模式的转型。文章主要围绕事业单位档案管理数字化转型的必要性展开分析,明确数字技术在档案管理中发挥的重要作用及应用价值,并总结当前部... 数字中国战略给很多行业带来发展动力,此种发展背景下,事业单位的档案管理需要做好实体向数字化模式的转型。文章主要围绕事业单位档案管理数字化转型的必要性展开分析,明确数字技术在档案管理中发挥的重要作用及应用价值,并总结当前部分事业单位数字化档案管理中存在的管理制度不完善、技术引进不到位等问题,深入探讨了解决此类问题与实现档案管理数字化转型的对策,旨在提升档案服务效能、保障档案信息安全,以期为智慧单位建设及公共服务价值的提升奠定良好基础。 展开更多
关键词 数字化管理 事业单位 档案管理 数据安全 资源利用
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全国统一大市场、数据要素与制造业全要素生产率增长
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作者 宁朝山 《长白学刊》 2026年第1期15-28,共14页
全要素生产率提升是衡量新质生产力发展的核心标志。本研究在理论阐释全国统一大市场、数据要素利用与制造业全要素生产率之间关系的基础上,选取2014—2023年中国省级面板数据,实证研究全国统一大市场对制造业全要素生产率的影响及其作... 全要素生产率提升是衡量新质生产力发展的核心标志。本研究在理论阐释全国统一大市场、数据要素利用与制造业全要素生产率之间关系的基础上,选取2014—2023年中国省级面板数据,实证研究全国统一大市场对制造业全要素生产率的影响及其作用机制。结果表明,全国统一大市场对制造业全要素生产率增长具有显著正向影响。作用机制分析结果显示,降低交易成本是全国统一大市场促进制造业全要素生产率增长的重要渠道。异质性分析结果显示,全国统一大市场对东部地区以及资本和技术密集型制造业的全要素生产率具有更强的促进作用。进一步的扩展性分析结果表明,数据要素利用能够显著增强全国统一大市场对制造业全要素生产率的促进效应。本研究结论可以为加快推进数据要素市场化配置提供理论依据;为构建全国统一市场,实现制造业全要素生产率提升,助力经济高质量发展提供决策参考。 展开更多
关键词 全国统一大市场 数据要素利用 制造业 全要素生产率
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面向地下管廊温度监测的分布式光纤传感技术
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作者 王洪辉 刘仝 +1 位作者 王翔 吴维 《城市道桥与防洪》 2026年第1期39-43,共5页
为了实现对城市地下综合管廊全域温度精准、高效、低成本的在线监测,解决分布式光纤温度传感(RDTS,raman distributed temperature sensor)面临的信噪比低、空间分辨率有限、小尺度异常不敏感、数据存储成本高及无法二维监测等技术瓶颈... 为了实现对城市地下综合管廊全域温度精准、高效、低成本的在线监测,解决分布式光纤温度传感(RDTS,raman distributed temperature sensor)面临的信噪比低、空间分辨率有限、小尺度异常不敏感、数据存储成本高及无法二维监测等技术瓶颈。本文提出一套RDTS性能提升方法:包括采用GraphSAGE图神经网络的信号降噪方法;结合全变差反卷积与全连接神经网络的空间分辨率提升方法;利用注意力机制与K-Means聚类检测的小尺度异常检测方法;通过隐式神经表示的数据压缩方法;最终基于处理后的一维温度信号,通过特殊布线策略的二维温度场构建方法。该套方法能有效提升RDTS在测量精度、异常检测灵敏度和覆盖维度上的性能,为管廊全域温度监测提供了高准确度、小尺度、低成本的解决方案。 展开更多
关键词 城市地下综合管廊 分布式光纤测温 信号降噪 空间分辨率 异常检测 数据压缩 二维温度场
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数字政策对城市绿色技术创新的影响研究——基于国家级大数据综合试验区的双重机器学习分析
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作者 王浩名 王柄洁 《工业技术经济》 北大核心 2026年第3期88-98,共11页
本文以2010~2024年中国城市数据作为研究样本,将国家级大数据综合试验区政策视为一项准自然实验,采用双重机器学习模型实证检验了数字政策对城市绿色技术创新的影响。研究发现,国家级大数据综合试验区政策的实施显著提升了城市绿色创新... 本文以2010~2024年中国城市数据作为研究样本,将国家级大数据综合试验区政策视为一项准自然实验,采用双重机器学习模型实证检验了数字政策对城市绿色技术创新的影响。研究发现,国家级大数据综合试验区政策的实施显著提升了城市绿色创新水平,且通过工具变量法、交叠DID等稳健性检验后该结论依然成立。异质性分析结果表明,大数据试验区政策对资源型城市和高污染城市的绿色技术创新激励作用更为显著,而在不同地理区位城市之间,政策效应整体表现出较强的一致性。机制分析表明,大数据试验区政策通过提升资源利用效率、增强技术溢出效应、强化环境规制强度来促进城市绿色创新。本文研究为理解数字时代的制度设计如何驱动绿色技术创新提供了新的理论视角和经验证据。 展开更多
关键词 数字政策 国家级大数据综合试验区 绿色技术创新 数字经济 双重机器学习 资源利用效率 技术溢出效应 环境规制
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生成式人工智能平台的消费者数据利用法律规制研究
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作者 李仪 朱格格 《重庆邮电大学学报(社会科学版)》 2026年第1期40-50,共11页
基于生成式人工智能平台的广泛应用实践,大语言模型技术推动消费者数据从原始信息资源转化为具有高附加值的衍生数据产品(如用户画像、信用模型、行为预测工具),数据利用方式日益呈现出动态性、深度加工与跨平台共享等新特征。生成式人... 基于生成式人工智能平台的广泛应用实践,大语言模型技术推动消费者数据从原始信息资源转化为具有高附加值的衍生数据产品(如用户画像、信用模型、行为预测工具),数据利用方式日益呈现出动态性、深度加工与跨平台共享等新特征。生成式人工智能平台通过语义建模、行为推理等机制实现数据的增值利用,使消费者不仅面临隐性识别、算法歧视等风险,更陷入衍生数据产品生命周期中“贡献-控制-收益”失衡的制度困境。与此同时,现有法律体系仍以静态风险防范与事前同意机制为主,难以有效回应消费者在衍生数据生成与商业利用过程中的实质参与权与利益回馈需求。对此,以DeepSeek平台为核心分析对象,聚焦生成式人工智能语境下消费者数据权利结构变迁与制度失灵问题,可构建以“信托义务+协同治理+动态授权”为核心的三元规制框架。在立法层面,推动确立平台对衍生数据产品履行忠实管理、透明披露及公平分配的信托义务;在制度机制上,引入数据信托模型与独立第三方监督机制,提升数据全生命周期可控性与责任可追溯性;在技术治理上,建立风险分级授权系统与用户算法素养提升机制,增强其对数据生成、使用与收益的感知与控制能力。借鉴《欧盟人工智能法案》《美国加州消费者隐私法案》等经验可知,从隐私防御向数据价值共治转型是制度演进趋势,为此,有必要重塑平台问责路径与消费者权利结构,为我国数据要素治理体系提供本土化参考方案。 展开更多
关键词 生成式人工智能平台 DeepSeek 消费者数据 数据利用 协同治理
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基于大语言模型与遗传算法的数据价值评估与定价研究
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作者 王雪钦 曹建彤 《现代信息科技》 2026年第1期47-51,57,共6页
随着数据要素在数字经济中的重要性不断提升,科学定价成为亟须突破的关键问题。文章构建了融合大语言模型辅助评估的多维度数据效用体系,从数据容量、质量、机器学习可用性与隐私保护4个维度量化数据价值,并提出基于遗传算法的多版本定... 随着数据要素在数字经济中的重要性不断提升,科学定价成为亟须突破的关键问题。文章构建了融合大语言模型辅助评估的多维度数据效用体系,从数据容量、质量、机器学习可用性与隐私保护4个维度量化数据价值,并提出基于遗传算法的多版本定价模型。通过实证分析验证,结果显示该模型能够有效捕捉数据价值的多维度权衡关系,实现供应商利润最大化,为数据要素价值发现与高效流通提供可行的理论与实践参考。 展开更多
关键词 数据定价 效用评估 大语言模型 遗传算法 市场细分
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大数据时代档案数据要素的价值内涵、评估体系与开发利用
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作者 李万军 《山西档案》 北大核心 2026年第3期119-122,共4页
在大数据环境下,数据成为关键的生产要素。档案部门长期积累的记录性数据逐步进入数据要素化配置与价值实现的制度视野,学界亟须立足档案学立场,阐明档案数据要素的价值意涵,并构建可操作的评估与利用方案。以档案学基础理论、信息资源... 在大数据环境下,数据成为关键的生产要素。档案部门长期积累的记录性数据逐步进入数据要素化配置与价值实现的制度视野,学界亟须立足档案学立场,阐明档案数据要素的价值意涵,并构建可操作的评估与利用方案。以档案学基础理论、信息资源管理与数据要素制度逻辑为理论参照,结合档案治理实践中常见的供给侧能力与需求侧绩效问题,构建价值维度的叙述框架,提出相应的评估体系与指标结构,并以明清官方档案黄册为典型案例,探讨其开发利用模式与风险控制路径。 展开更多
关键词 档案数据要素 价值内涵 评估体系 数据治理 开发利用
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