研究论文
Deconstructing the green productivity paradox: How AI-enabled green innovation shapes efficiency and technological change
Yuan Wang
来源Technological Forecasting and Social Change
年份2026
内容与影响
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逐年被引趋势
210
226
关键指标
2
被引次数 · OpenAlex
35.50
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 0.4%
引用位次
同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
69
参考文献
Google Scholar 与 OpenAlex 的被引统计范围不同，数值存在差异属正常。
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学术脉络
学科主题
经济 / 管理Economic and Technological Innovation
Energy, Environment, Economic Growth · Digital Transformation in Industry
参考文献 69
A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries
被引 149Ali Emrouznejad, Guo-liang Yang · Energy · 2016
R&D intensity, free cash flow, and technological innovation: evidence from high-tech manufacturing firms in China
被引 34Kuang Xin, Xin Chen, Ran Zhang · Asian Journal of Technology Innovation · 2019
An improved production-theoretical approach to decomposing carbon dioxide emissions
被引 60Qunwei Wang, Yizhong Wang, Ye Hang · Journal of Environmental Management · 2019
此处列出前 3 条
施引文献 2
Can artificial intelligence applications enhance innovation efficiency in private enterprises: evidence from China
被引 0Zhaoyang Zhao, Sihan Li, Xuanzi Sun · Asian Journal of Technology Innovation · 2026
Beyond carbon productivity paradox of artificial intelligence through adaptive capability: A perspective of technology complementarity effect
被引 0Wenxin Mao, Leyi Huang, Huifang Sun · Technology in Society · 2026
按被引量排序，此处列出前 3 条