| 技术异质下中国企业绿色创新效率及损失来源分析 |
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| 引用本文： | 钱丽,王文平,肖仁桥.技术异质下中国企业绿色创新效率及损失来源分析[J].科研管理,2022,43(9):127-138. |
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| 作者姓名： | 钱丽 王文平 肖仁桥 |
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| 作者单位： | 1.安徽财经大学工商管理学院，安徽 蚌埠233030；
2.东南大学经济管理学院，江苏 南京210096 |
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| 基金项目： | 国家自然科学基金面上项目(71973023,2020—2023);国家社会科学基金项目(15CGL010,2015—2020);安徽财经大学科研重点项目(ACKYB21015,2021—2023)。 |
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| 摘 要： | 绿色创新是缓解当前资源环境压力，实现中国工业高质量发展的重要途径。本文基于区域技术异质性与创新投入共享关联特征，构建共同前沿-共享投入关联型两阶段DEA模型以测算2008—2017年中国省际工业企业绿色创新两阶段效率及整体效率。运用“技术落差比率”指标衡量东部、中部与西部地区企业之间的技术差距，并对创新无效率值进行分解以挖掘效率损失根源，定位各地区企业效率提升的关键环节与重点策略。研究结果表明：①共同前沿下中国工业企业绿色研发效率、成果转化效率和整体效率均值分别为0.774、0.831和0.647，共同前沿下各效率值均未超过群组前沿下效率值；考察期内全国及三大地区绿色创新两阶段效率并未有明显改善，呈稳中略降趋势。②三大地区间企业绿色研发与成果转化的技术落差比率差异均显著，绿色研发阶段东-中地区企业间技术差距徘徊于0.2左右，而成果转化阶段东-西地区企业间技术差距最为明显，并呈不断扩大趋势。③东部地区企业绿色创新两阶段效率损失主要源自区域内企业自身管理不当，而中西部地区企业则因技术差距无效和管理无效均造成效率损失，且由区域技术落后引起的效率损失占比超过50%。
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| 关 键 词： | 技术异质性 绿色创新效率 共同前沿-共享投入关联型两阶段DEA模型 无效率分解 |
| 收稿时间： | 2019-10-28 |
| 修稿时间： | 2020-06-16 |
An analysis of the regional differences and loss sources of green innovation efficiency of Chinese enterprises under technology heterogeneity |
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| Qian Li,Wang Wenping,Xiao Renqiao.An analysis of the regional differences and loss sources of green innovation efficiency of Chinese enterprises under technology heterogeneity[J].Science Research Management,2022,43(9):127-138. |
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| Authors: | Qian Li Wang Wenping Xiao Renqiao |
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| Institution: | 1. School of Business Administration, Anhui University of Finance and Economics, Bengbu 233030, Anhui, China;
2. School of Economics and Management, Southeast University, Nanjing 210096, Jiangsu, China; |
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| Abstract: | Green innovation is an important way to ease the current pressure on resources and the environment and achieve high-quality development of the Chinese industry. In recent years, China′s industrial enterprises have continued to increase R&D investment, but the technological, economic, and environmental benefits have not improved significantly. It is necessary to improve the green innovation efficiency of enterprises and realize the transformation of industrial enterprises into a green development mode. Due to differences in resource endowments, economic development, investment in innovative resources, and market environment in different regions of China, it means that the production technology sets available for green innovation are different. Scientifically measuring the green innovation efficiency and technology gap of industrial enterprises in different regions, and clarifying the source of efficiency loss, is conducive to the formulation of differentiated green innovation policies in different regions of China, so as to improve the enterprise′s green innovation ability. |
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| Keywords: | technology heterogeneity green innovation efficiency two-stage DEA model of meta-frontier-shared input inefficiency decomposition |
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