基于数据价值链的碳排放数据资产价值测度与特征分析
陈楠 1马晔风 1刘悦欣2
作者信息
- 1. 中国社会科学院数量经济与技术经济研究所;中国社会科学院经济大数据与政策评估实验室(北京 100732)
- 2. 广东省社会科学院企业研究所(广东 广州 510635)
- 折叠
摘要
碳排放数据是保障碳市场交易运行的重要依据,也是推动企业数字化绿色化协同发展的基础支撑.本文基于数据价值链模型,刻画碳排放数据资产形成路径,量化评估数据价值规模与特征.研究表明:碳排放数据价值链由数据准备、数据形成、数据分析、数据应用、数据交易 5 个阶段组成;数据形成阶段的增值贡献最大,数据价值潜力有待挖掘;数据审核人员和数据服务合同成本占比较高,碳行业对数据准确性要求高,且企业内部数据分析和应用能力不足;当前碳排放服务市场仍以政策驱动为主,相关数据产品和服务尚未反映真实交易价值.未来应从基础数据积累、数据能力提升、市场环境培育等角度进一步释放碳排放数据价值,发挥数据要素在绿色低碳领域的积极作用.
Abstract
Carbon emission data guarantees the operation of carbon market trading,and also provides basic support for promoting the coordinated development of digital and green enterprises.Based on the data value chain model,this paper depicts the formation path of enterprise carbon emission data asset and quantifies the scale and characteristics of data value.The research shows that the carbon emission data value chain consists of five stages:data preparation,data formation,data analysis,data application and data trading;the value-added contribution of the data formation stage is the largest,and the potential of data value needs to be explored;high cost of data auditors and data service contracts indicates that the carbon industry has high standards for data accuracy,and the internal data analysis and application capabilities of enterprises are insufficient;the current carbon emission service market is still mainly policy-driven,and the relevant data products and services have not yet reflected the genuine transaction value.In the future,the value of carbon emission data should be further released from the perspectives of basic data accumulation,data capacity enhancement and market environment cultivation,so as to give full play to the positive role of data factor in the field of green and low-carbon.
关键词
数据要素/碳排放数据/数据价值链/工业数据/企业数据资产Key words
data factor/carbon emission data/data value chain/industrial data/data assets of enterprises引用本文复制引用
基金项目
国家社会科学基金青年项目(22CJY047)
出版年
2024
NETL
NSTL
万方数据