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Intellectual Property Protection and Technological Innovation of Chinese GEM Manufacturing Enterprise based on Research of Quantile Regression Model and Dynamic Panel Models

机译：基于分位数回归模型和动态面板模型研究的中国宝石制造企业知识产权保护与技术创新

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Tianhe Cao;
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1. Intellectual property protection, technological innovation and enterprise value-An empirical study on panel data of 80 advanced manufacturing SMEs [J] . Liu Zhenyuan, Mu Renyan, Hu Shuhua, Cognitive Systems Research . 2018,第DECa期

机译：知识产权保护，技术创新与企业价值-基于80家先进制造业中小企业面板数据的实证研究
2. Technological Innovation and Value Creation of Enterprise Innovation Ecosystem Based on System Dynamics Modeling [J] . Peng Zhang, Enyi Zhou, Yuyan Lei, Mathematical Problems in Engineering: Theory, Methods and Applications . 2021,第a期

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3. Capital allocation efficiency, technological innovation and vehicle carbon emissions: Evidence from a panel threshold model of Chinese new energy vehicles enterprises [J] . Min Zhao, Tao Sun, Qiang Feng Science of the total environment . 2021,第Auga25期

机译：资本分配效率，技术创新和车辆碳排放：来自中国新能源汽车企业面板门槛模型的证据
4. Intellectual Property Protection and Technological Innovation of Chinese GEM Manufacturing Enterprise: based on research of Quantile regression model and Dynamic panel models [C] . Cao Tianhe International Conference on Education, Management, Computer and Society . 2016

机译：中国宝石制造企业知识产权保护与技术创新：基于分位式回归模型和动态面板模型的研究
5. Essays on quantile regression for dynamic panel data models. [D] . Galvao, Antonio Fialho, Jr. 2009

机译：关于动态面板数据模型的分位数回归的论文。
6. Financing innovation and enterprises’ efficiency of technological innovation in the internet industry: Evidence from China [O] . Zhefan Piao, Yueqin Lin, Stefan Cristian Gherghina, 2020

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7. The Impact of Economic Growth, FDI and Energy Intensity on China’s Manufacturing Industry’s CO2 Emissions: An Empirical Study Based on the Fixed-Effect Panel Quantile Regression Model [O] . Chao-Qun Ma, Jiang-Long Liu, Yi-Shuai Ren, 2019

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Intellectual Property Protection and Technological Innovation of Chinese GEM Manufacturing Enterprise based on Research of Quantile Regression Model and Dynamic Panel Models

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