知识“循环”了吗?——基于区域低碳技术创新的知识依赖模式研究  

Is Knowledge Circulated?:Research Based on Knowledge Dependence Mode of Regional Low-carbon Technology Innovation

作　　者：王为东[1] 秦雪 朱顾宇 王冬 WANG Weidong;QIN Xue;ZHU Guyu;WANG Dong(School of Finance and Economics,Jiangsu University,Zhenjiang 212013,China;School of Management&Economics,Beijing Institute of Technology,Beijing 102400,China;Institute of Blue and Green Development,Shandong University,Weihai 264209,China)

机构地区：[1]江苏大学财经学院,江苏镇江212013 [2]北京理工大学管理与经济学院,北京102400 [3]山东大学蓝绿发展研究院,山东威海264209

出　　处：《科学学与科学技术管理》2023年第1期120-140,共21页Science of Science and Management of S.& T.

基　　金：国家自然科学基金(72104091);教育部人文社会科学基金(21YJCZH097,22YJA790061)。

摘　　要：低碳技术清洁化转型的难度和方式与技术活动对不同知识源的依赖模式密切相关,但系统性的依赖模式研究较少。以2006—2019年中国30个省份的空间面板数据为样本,采用空间杜宾模型(spatial Durbin model,SDM)实证检验区域低碳技术创新对本地知识存量、省际知识溢出与国际知识溢出等知识源的依赖模式,并区分清洁与灰色两类低碳技术创新以探究知识依赖模式的可能差异。研究发现:(1)清洁与灰色技术创新的时空特征与路径依赖模式相似,两类创新都具有明显集聚性,以东部沿海地区为核心向外辐射,呈现“东部高,西部低”的特点,且各类知识源对两类创新的作用方向一致。(2)两类技术创新对本地知识存量和国际知识溢出都存在显著的路径依赖,并对前者更为依赖。然而,两类创新又都受到省际知识溢出的显著抑制,使省际知识不能成为创新动能。(3)本地知识存量与国际知识溢出对两类创新的作用具有替代性,表明与两类知识相关的经济活动是竞争资源的排斥关系。可见,围绕低碳技术创新活动,国内外知识与省际间知识之间都存在令人担忧的互为排斥现象,表明低碳技术知识的国内“循环”和国际“循环”都未形成。对此,需要中央到地方的共同努力,中央层面应加强促进低碳技术创新要素流动的国际协调,并承担改革国内束缚要素流动制度与建设跨区域治理机制的主体责任;东部沿海地区应积极融入国际知识循环,引领我国技术清洁化转型;中西部地区应主动破除创新要素流动壁垒,并尝试“以市场换技术”的策略提升低碳技术水平。Under the increasingly tight constraints of the natural environment,promoting low-carbon technology innovation and promoting the clean transformation of low-carbon technology through unimpeded knowledge exchange and circulation is not only the key to the sustainable development of economy and environment,but also the fundamental requirement of the major strategic deployment of the national"14th five year plan"on"unblocking the domestic cycle and promoting the domestic and international dual cycle".Clean technology innovation generated by carbon free emissions and gray technology innovation aimed at improving the combustion efficiency of fossil energy have a positive impact on curbing environmental change.The deep low-carbon transformation requires that technological innovation activities be transferred from gray technology developed in the early stage due to factors such as energy structure and resource allocation to clean technology generated by carbon free emissions.The difficulty and mode of clean transformation of low-carbon technology are closely related to the dependence mode of technological activities and different knowledge sources.Previous studies have involved important aspects of the path dependence mode of regional low-carbon technology innovation,that is,whether it depends on local knowledge stock,domestic spillover or international spillover.However,there is no unified conclusion on the interaction between the three types of knowledge sources and whether there are differences in the dependence modes of different types of low-carbon innovation,which needs further research and analysis.Based on this,the research uses spatial panel data from 30 provinces in China from 2006 to 2019,and use SDM to test the dependence mode of regional low-carbon technology innovation on knowledge sources including local knowledge stock,inter provincial knowledge spillover and international knowledge spillover,and distinguish clean and gray low-carbon technology innovation to explore the possible differences of knowledge

关 键 词：知识循环 低碳技术创新 路径依赖 空间杜宾模型 

分 类 号：F062.3[经济管理—政治经济学] F061.5