| 数据要素对区域绿色低碳发展的非线性影响研究 |
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| 引用本文： | 杨金龙,王改变,杨艳艳,李加莲.数据要素对区域绿色低碳发展的非线性影响研究[J].科技促进发展,2023,19(12):734-743. |
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| 作者姓名： | 杨金龙 王改变 杨艳艳 李加莲 |
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| 作者单位： | 金风科技股份有限公司 北京 100176,中国科学院昆明分院 昆明 650201,昆明理工大学管理与经济学院 昆明 650093;昆明理工大学财务处 昆明 650093,中国科学院科技战略咨询研究院 北京 100190 |
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| 基金项目： | 年国家自然科学基金重大项目（T2293774）：国家和社会数据安全治理的智能方法,负责人：李建平。 |
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| 摘 要： | 数字经济的崛起,使数据要素成为新的生产要素。实现碳达峰、碳中和是我国的重大战略需求。针对数据要素如何影响区域绿色低碳发展的问题,本研究基于数据要素理论框架,从数据供给、流通和应用3个维度设立指标体系,对区域数据要素综合发展水平进行测度及评价,并采用2013~2021年中国省级面板数据,实证分析了数据要素对区域绿色低碳发展的非线性影响效应,为数据要素更好赋能区域绿色低碳发展提供了政策建议。
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| 关 键 词： | 数据要素 绿色低碳 非线性影响 异质性 |
| 收稿时间： | 2023/11/27 0:00:00 |
| 修稿时间： | 2023/11/30 0:00:00 |
Research on the Nonlinear Influence of Data Enabler on Regional Green and Low-Carbon Development |
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| YANG Jinlong,WANG Gaibian,YANG Yanyan and LI Jialian.Research on the Nonlinear Influence of Data Enabler on Regional Green and Low-Carbon Development[J].Science & Technology for Development,2023,19(12):734-743. |
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| Authors: | YANG Jinlong WANG Gaibian YANG Yanyan and LI Jialian |
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| Institution: | Goldwind Science & Technology CO., LTD, Beijing 100176,Kunming Branch Chinese Academy of Sciences, Kunming 650201,Faculty of Management and Economics, Kunming University of Science and Technology, Kunming 650093;Finance Department, Kunming University of Science and Technology, Kunming 650093,Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190 |
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| Abstract: | The rise of the digital economy has made data elements a new factor of production. Achieving carbon peak and carbon neutrality is a major strategic demand in China. In response to the issue of how data elements affect regional green and low-carbon development, this study is based on the theoretical framework of data elements, establishes an index system from the three dimensions of data supply, circulation and application, measures the development level of regional data elements, and uses China "s regional panel data from 2013 to 2021 to empirically analyze the impact of data elements on regional green and low-carbon development. Policy recommendations have been provided to better empower regional green and low-carbon development with data elements. |
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| Keywords: | data enabler green low-carbon nonlinear influence heterogeneity |
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