Enterprise Innovation Investment Strategy under the Network Peer Effect: Do According to One's Capability or Try One's Best
Shao Peng1,2, Li Menglei1, Ma Bing1
1. School of Management,Xi'an Polytechnic University,Xi'an 710048,China; 2. Center for Industry Development and Green Economy Studies,Xi'an Polytechnic University,Xi'an 710048,China
Abstract：Innovation is an important driving force for the development of enterprises.A sharing communication channel has been built up in the form of network connection of directors in order to stimulate enterprise innovation.The existing research on peer effect has not paid enough attention to the network of enterprises,and does not deeply explore the enterprise innovation investment strategy under the network peer effect.Based on the data of 724 companies in heavily polluting industries from 2016 to 2020,this paper explores the network peer effect of enterprise innovation investment,and reveals the differential impact of different innovation investment strategies.It is found that the innovation investment of enterprises has the network peer effect,the quality of peer has a positive impact on innovation investment intensity,and the quality and quantity of peer have positive impacts on innovation investment scale.Academic experience positively moderates the positive relationship between innovation investment scale and innovation performance,and innovation investment scale plays a mediating role in the impact of the quantity of peer on innovation performance.There is an inverted U relationship between innovation investment intensity and innovation performance.Enterprises with different innovation investment characteristics,enterprise nature and market structure characteristics should adopt different innovation investment strategies.
邵鹏, 李梦蕾, 马冰. 网络同群效应下的企业创新投入策略：量力而行还是尽力而为[J]. 中国科技论坛, 2022(12): 140-149.
Shao Peng, Li Menglei, Ma Bing. Enterprise Innovation Investment Strategy under the Network Peer Effect: Do According to One's Capability or Try One's Best. , 2022(12): 140-149.
[1]高宏霞,朱海燕,孟樊俊.环境信息披露质量影响债务融资成本吗——来自我国环境敏感型行业上市公司的经验证据[J].南京审计大学学报,2018,15 (6):20-28. [2]WANG K,JIANG W.State ownership and green innovation in China:the contingent roles of environmental and organizational factors[J].Journal of cleaner production,2021,314:128029. [3]YANG C,XIA X,LI Y,et al.CEO financial career and corporate innovation:evidence from China[J].International review of economics & finance,2021,74:81-102. [4]王玉泽,罗能生,刘文彬.什么样的杠杆率有利于企业创新[J].中国工业经济,2019 (3):138-155. [5]杨亭亭,罗连化,许伯桐.政府补贴的技术创新效应: “量变”还是 “质变”[J].中国软科学,2018 (10):52-61. [6]HSU P H,TIAN X,XU Y.Financial development and innovation:cross-country evidence[J].Journal of financial economics,2014,112 (1):116-135. [7]兰竹虹,曾晓,辛莹莹.产业竞争视角下税收征管对企业创新影响机制研究——基于 “竞争效应”和 “资源效应”[J].中国软科学,2021 (2):181-192. [8]陈红,蔡云鹏.经济不确定性对我国上市公司研发投入同群效应的影响[J].税务与经济,2021 (1):65-73. [9]MATRAY A.The local innovation spillovers of listed firms[J].Journal of financial economics,2021,141 (2):395-412. [10]冯戈坚,王建琼.企业创新活动的社会网络同群效应[J].管理学报,2019,16 (12):1809-1819. [11]黄海昕,李玲,高翰.网络嵌入视角下连锁董事网络与战略创业行为——吸收能力的调节作用[J].科学学与科学技术管理,2019,40 (12):119-138. [12]ZHU D,XU B.Regional government R&D investment and innovation performance:the moderating effect of geographical and organizational proximities[J].International journal of innovation science,2021,14 (2):230-246. [13]陈刚.R&D溢出、制度和生产率增长[J].数量经济技术经济研究,2010,27 (10):64-77. [14]易靖韬,蒙双,蔡菲莹.外部R&D、技术距离、市场距离与企业创新绩效[J].中国软科学,2017 (4):141-151. [15]杜勇,刘婷婷.企业金融化的同群效应:基于连锁董事网络的研究[J].财经科学,2021 (4):11-27. [16]郑方,单文涛,王永青.连锁董事网络与企业动态创新能力——基于多重治理情境的调节作用[J].财经论丛,2021 (11):77-88. [17]鲍丰华,赵亚普,田龙伟,等.嵌入视角下的连锁董事网络、制度环境与民营企业慈善捐赠[J].管理学报,2018,15 (10):1037-1046. [18]王营,曹延秋.董事网络下企业同群捐赠行为研究[J].财经研究,2017,43 (8):69-81. [19]CHARLES FM.Economic analysis of social interactions[J].Journal of economic perspectives,2000,14 (3):115-136. [20]曾江洪,于彩云,李佳威,等.高科技企业研发投入同群效应研究——环境不确定性、知识产权保护的调节作用[J].科技进步与对策,2020,37 (2):98-105. [21]鲍树琛,代明.我国上市公司研发投入同伴效应研究[J].科技进步与对策,2021,38 (22):99-106. [22]周雪峰,李珍珠,王红建.董事网络位置对企业创新投资的影响——风险承担的遮掩和中介效应[J].研究与发展管理,2021,33 (2):53-66. [23]马连福,张琦,王丽丽.董事会网络位置与企业技术创新投入——基于技术密集型上市公司的研究[J].科学学与科学技术管理,2016,37 (4):126-136. [24]刘洁,梁淑茵,何小文.组织惯性、网络位置与双元技术创新实证研究——基于广东省制造企业数据[J].软科学,2017,31 (7):24-28. [25]杨林,段牡钰,刘娟,等.高管团队海外经验、研发投入强度与企业创新绩效[J].科研管理,2018,39 (6):9-21. [26]魏新颖,王宏伟,徐海龙.创新投入、创新环境与高技术产业绩效[J].中国科技论坛,2019 (11):30-37. [27]张洁.企业研发投入、资源特征与创新绩效关系研究——组织 “行为—特征”匹配视角[J].科技进步与对策,2018,35 (2):82-89. [28]赵珊珊,王素荣,陈晓晨.高管学术经历、企业异质性与企业创新[J].现代财经 (天津财经大学学报),2019,39 (5):73-89. [29]黄灿,年荣伟,蒋青嬗,等. “文人下海”会促进企业创新吗[J].财经研究,2019,45 (5):111-124. [30]HE K,CHEN W,ZHANG L.Senior management's academic experience and corporate green innovation[J].Technological forecasting and social change,2021,166:120664. [31]张晓亮,杨海龙,唐小飞.CEO学术经历与企业创新[J].科研管理,2019,40 (2):154-163. [32]FAN J,XIAO Z.Analysis of spatial correlation network of China's green innovation[J].Journal of cleaner production,2021,299:126815. [33]WANG G,LI Y,ZUO J,et al.Who drives green innovations? Characteristics and policy implications for green building collaborative innovation networks in China[J].Renewable and sustainable energy reviews,2021,143:110875. [34]BAI Y,WANG J,JIAO J.A framework for determining the impacts of a multiple relationship network on green innovation[J].Sustainable production and consumption,2021,27:471-484. [35]倪渊.核心企业网络能力与集群协同创新:一个具有中介的双调节效应模型[J].管理评论,2019,31 (12):85-99. [36]彭镇,连玉君,戴亦一.企业创新激励:来自同群效应的解释[J].科研管理,2020,41 (4):45-53.
2022, 
