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作 者:杨超[1] 黄群慧[2] 贺俊[3] Yang Chao;Huang Qunhui;He Jun(School of Economics and Management,Beijing Forestry University,Beijing 100083,China;Institute of Economics,CASS,Beijing 100836,China;Institute of Industrial Economics,CASS,Beijing 100836,China)
机构地区:[1]北京林业大学经济管理学院,北京100083 [2]中国社会科学院经济研究所,北京100836 [3]中国社会科学院工业经济研究所,北京100836
出 处:《科研管理》2020年第8期142-147,共6页Science Research Management
基 金:国家自科基金面上项目:“中国木材加工业转移粘性、集聚与产业升级研究”(71873016);国家自科基金青年项目:“互联网信息级联效应下木质林产品厂商的质量行为研究”(71803025)。
摘 要:中低技术产业是中国制造业的重要部门,与高技术产业具有不同的技术范式与发展路径。本文构建一个以创新作为中介变量的模型,以木材加工业作为中低技术产业代表,运用该产业下4个细分行业的企业数据为样本,实证检验创新对中低技术制造企业盈利能力的影响作用。结果表明,创新对企业盈利的影响与企业所处的价值链位置有关,只有终端产品厂商的创新活动能够显著改善企业盈利能力,中间产品厂商的创新活动对企业盈利能力提升有限。Low-medium technology(LMT)industry,as a key role of China's manufacturing,has different technological paradigm and development path from high technology industry.The innovation activities of LMT industry mainly focus on non-research and development(R&D),such as improving manufacturing technique and product quality,optimizing production process and supplying new products.However,most researches have employed the indicators that reflected the innovation level of high technology industry(e.g.,R&D intensity)to measure the innovation activities of LMT industry.Thus,the innovation activities of LMT industries may be underestimated or even ignored.Based on the data of wood-processing enterprises(i.e.,plywood,chipboard,fiberboard and wood floor enterprises),this study introduces innovation as an intermediary variable to accurately explore the impact of LMT enterprises'innovation activities on business performance.The wood-processing industry has been in the mature stage of industry life cycle and has more dependence on non-R&D activities:improving the stability of the on-sale products,launching new products,etc.When the innovation activities are converted into new products,the maximum economic benefits can be obtained.Therefore,we use the proportion of delivery value of new products in the total delivery value to measure the innovation level of wood-processing enterprises.In this way,the bias estimation caused by the improper indicator of innovation can be avoid.The independent and dependent variables of this study are agglomeration externalities and enterprise profitability,respectively,because China's wood-processing enterprises are almost agglomerated in geographic distribution and agglomeration externalities exert a positive effect on enterprise profitability.The agglomeration externalities include MAR externalities,Porter externalities and Jacobs externalities,while the enterprise profitability is reflected by the proportion of net profit in the total assets of wood-processing enterprises.In this study,we make two h
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