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作 者:侯建 王刚[1] 陈建成[1] Hou Jian;Wang Gang;Chen Jiancheng(School of Economics and Management,Beijing Forestry University,Beijing 100083,China)
出 处:《科研管理》2020年第3期91-100,共10页Science Research Management
基 金:中央高校基本科研业务费专项资金资助项目(2019RW20);中国博士后科学基金资助项目(2019M650519)。
摘 要:针对开放式创新驱动与绿色发展融合下工业绿色增长路径及动力来源多元化特征,基于中国工业2009-2015省际面板数据,通过考虑非期望产出的Super-SBM模型测算环境和能源约束下的工业绿色增长结构,并采用改进的动态门槛回归模型,从地区知识积累视角系统探究外部知识源化路径驱动工业绿色增长机制的知识积累动态门槛效应及其时空异质性。研究表明:中国工业绿色增长整体水平较低,地区异质性显著;总体上,外部知识源化对工业绿色增长起到了正向作用,但其存在显著的知识积累异质门槛特征:知识积累一旦突破了临界规模,外部知识源化路径驱动工业绿色增长的正向效应则呈现减弱,且知识积累门槛时空分布存在较大差异。With the increasingly rigid constraints of energy and environmental factors on industrial growth, industrial pollution emissions and energy consumption have approached the environmental bearing limit. As the main body of China′s economy, industry plays a significant role in economic growth, energy consumption and environmental pollution, and the contradiction between industrial energy environment and economic society is extremely sharp. In this context, the strategy of innovation-driven green development has become an inevitable choice for industrial growth, and how to deeply integrate and improve the industrial green development and innovation-driven path is the key to its transformation. "Green growth", as a sustainable growth mode that pursues economic development and pays attention to environmental protection, biodiversity and resource recycling, is an important strategy to achieve "climate friendly" and "low-carbon" sustainable growth. On the other hand, based on innovation-driven development, technological innovation and green growth are carried out for the purpose of reducing pollution, saving resources and improving the environment to further drive sustainable development. Meanwhile, driven by the global open innovation, Chinese industrial enterprises try to create and acquire knowledge through external cooperation to continuously generate new knowledge flow to accumulate and update knowledge stock, and realize the transformation of innovation paradigm in the interaction of cooperative R&D, R&D outsourcing, entrusted technology development and other modes with enterprises, universities and research institutions with technological advantages. External knowledge sourcing has become one of the important paths for Chinese industry to carry out technological innovation and green growth.Therefore, based on the provincial panel data of 2009-2015 in China′s industry, this paper measures the industrial green growth structure with the restriction of environment and energy by using the Super-SBM model which cons
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