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论文中文题名:

 空间溢出视角下企业异质性对技术创新的影响研究    

姓名:

 纪首群    

学号:

 19202001004    

保密级别:

 公开    

论文语种:

 chi    

学科代码:

 020205    

学科名称:

 经济学 - 应用经济学 - 产业经济学    

学生类型:

 硕士    

学位级别:

 经济学硕士    

学位年度:

 2022    

培养单位:

 西安科技大学    

院系:

 管理学院    

专业:

 产业经济学    

研究方向:

 区域经济发展    

第一导师姓名:

 郭莉    

第一导师单位:

 西安科技大学    

论文提交日期:

 2022-06-16    

论文答辩日期:

 2022-06-02    

论文外文题名:

 The Impact of Enterprise Heterogeneity on Technological Innovation from the Perspective of Spatial Spillover    

论文中文关键词:

 企业异质性 ; 技术创新 ; 莫兰指数 ; 空间溢出 ; 投影寻踪    

论文外文关键词:

 Enterprise heterogeneity ; Technological innovation ; Moran index ; Spatial overflow ; Projection pursuit    

论文中文摘要:

科学技术能够为经济社会发展提供方案,技术创新是方案得以实施的关键因素与核心动力。企业是技术创新的主体,在企业发展过程中,企业异质性问题对技术创新造成较大障碍且难以避免,技术创新也会因企业异质性使其发展不均衡。论文的研究主题为企业异质性对技术创新的影响,通过探讨空间溢出效应下企业异质性对技术创新的作用机制,以期能够给推动技术创新长足发展提供建议。

首先,论文梳理了企业异质性与技术创新的相关研究成果,设计了在空间溢出视角下研究企业异质性对技术创新影响的总体框架,界定了企业异质性与技术创新的相关概念及理论基础。其次,论文对我国近十年企业异质性和技术创新现状进行了描述,使用欧式距离方法对企业异质性系数进行了衡量,以专利授权数对技术创新强度进行了测度,并进一步分析了企业异质性系数与技术创新强度的空间分布情况。最后,论文对模型变量、空间计量模型、空间权重矩阵进行了设计,基于空间杜宾模型在空间溢出视角下研究了企业异质性对技术创新的影响,得出以下结论:(1)企业规模对技术创新有正向影响,企业性质、企业盈利水平、企业集中度、企业无形资产对技术创新有负向影响;(2)考虑空间滞后效应后,企业规模与企业无形资产能够促进技术创新,企业性质、企业盈利水平、企业集中度能够抑制技术创新;(3)效应分解后,企业规模与企业无形资产对技术创新的空间溢出效应为正,企业性质、企业盈利水平、企业集中度对技术创新的空间溢出效应为负;(4)分地区来看,东部地区企业性质、企业集中度以及企业无形资产的正向空间溢出效应显著,中部地区企业规模、企业性质、企业集中度、企业无形资产的正向空间溢出效应显著,西部地区仅有企业盈利水平的空间溢出效应显著,东北地区仅有企业集中度的空间溢出效应显著,且都为抑制作用。

论文外文摘要:

Science and technology can provide solutions for economic and social development, and technological innovation is the key factor and core driving force for the implementation of the plan. Enterprises are the main body of technological innovation. In the process of enterprise development, the problem of enterprise heterogeneity has caused great obstacles to technological innovation and is unavoidable. Technological innovation will also develop unbalanced due to enterprise heterogeneity. The research theme of the thesis is the impact of corporate heterogeneity on technological innovation. By exploring the mechanism of corporate heterogeneity on technological innovation under the spatial spillover effect, it is expected to provide suggestions for promoting the rapid development of technological innovation.

First of all, the thesis sorted out the related research results of enterprise heterogeneity and technological innovation, designed an overall framework for studying the impact of enterprise heterogeneity on technological innovation from the perspective of spatial spillover, defined the related concepts and theoretical basis about enterprise heterogeneity and technological innovation. Secondly, the thesis described the status quo of enterprise heterogeneity and technological innovation in our country in the past ten years, used the Euclidean distance method to measure the coefficient of enterprise heterogeneity, measured the technological innovation intensity by the number of patents granted, and further analyzed the Spatial distribution of firm heterogeneity coefficient and technological innovation intensity. Finally, the thesis designed the model variables, spatial econometric model, and spatial weight matrix. Based on the spatial Durbin model, the thesis studied the impact of firm heterogeneity on technological innovation from the perspective of spatial spillover, and drew the following conclusions: (1)Firm size had a positive impact on technological innovation. The nature of the enterprise, the level of enterprise profitability, the concentration of the enterprise, and the intangible assets of the enterprise had a negative impact on technological innovation.(2) After considering the spatial lag effect, the size of the enterprise and the intangible assets of the enterprise could promote technological innovation, and the nature of the enterprise, the level of enterprise profitability, and the degree of enterprise concentration could inhibit technological innovation. (3)After decomposing the effect, the spatial spillover effect of enterprise scale and enterprise intangible assets on technological innovation was positive, and the spatial spillover effect of enterprise nature, enterprise profitability, and enterprise concentration on technological innovation was negative.(4)From a regional point of view, the positive spatial spillover effect of enterprise nature, enterprise concentration and enterprise intangible assets was significant in eastern China. The positive spatial spillover effect of enterprise scale, enterprise nature, enterprise concentration and enterprise intangible assets was significant in central China. In western China, only the spatial spillover effect of corporate profitability was significant, and in northeastern China, only the spatial spillover effect of corporate concentration was significant, and both played a restraining role.

参考文献:

[1] Global Innovation Index[R].2021:24-32.

[2] 中国企业家调查系统,仲为国,李兰,路江涌,彭泗清,潘建成,郝大海.企业进入创新活跃期:来自中国企业创新动向指数的报告——2016·中国企业家成长与发展专题调查报告[J].管理世界,2016(06):67-78.

[3] 肖晶.美国技术创新的经济增长效应及启示[J].税务与经济,2019(05):55-61.

[4] 何兴邦.技术创新与经济增长质量——基于省际面板数据的实证分析[J].中国科技论坛,2019(10):24-32+58.

[5] Marc J. Melitz. The Impact of Trade on Intra-Industry Reallocations and Aggregate Industry Productivity[J]. Econometrica,2003,71(6):1695-1725.

[6] DAVID HIRSHLEIFER,ANGIE LOW,SIEW HONG TEOH. Are Overconfident CEOs Better Innovators?[J]. The Journal of Finance,2012,67(4):1457-1498.

[7] Tian X, Wang T. Tolerance for Failure and Corporate Innovation[J]. The Review of Financial Studies,2014,27(1):211-255.

[8] Li Xing, Guo Yue, Hou Jiani, Liu Jun. Human Capital Allocation and Enterprise Innovation Performance: An Example of China’s Knowledge-Intensive Service Industry[J]. Research in International Business and Finance,2021(10):101429-101456.

[9] Zhong Zhaoqiang, Peng Benhong. Can environmental regulation promote green innovation in heavily polluting enterprises? Empirical evidence from a quasinatural experiment in China[J]. Sustainable Production and Consumption,2022,17(01):815-828.

[10] Elisabeth T. Pereira, João Paulo Cerdeira Bento, Janis Priede. The Contribution of Technological Change on EU's Exports[J]. Procedia - Social and Behavioral Sciences,2013,99:658-664.

[11] Arkolakis Costas, Ganapati Sharat, Muendler Marc Andreas. The Extensive Margin of Exporting Products: A Firm-Level Analysis [J]. American Economic Journal: Macroeconomics,2021,13(4):182-245.

[12] Muñoz Camila, Galvez Daniel, Enjolras Manon, Camargo Mauricio, Alfaro Miguel. Relationship between innovation and exports in enterprises: A support tool for synergistic improvement plans[J]. Technological Forecasting & Social Change,2022,177:121-134.

[13] Chia-Hui Huang. Tax credits and total factor productivity: firm-level evidence from Taiwan[J]. The Journal of Technology Transfer,2015,40(6):1578-1588.

[14] Anthony Howell. Picking ‘winners’ in China: Do subsidies matter for indigenous innovation and firm productivity?[J]. China Economic Review,2017,44:154-165.

[15] Sung Bongsuk, Soh Jin Young, Park Chun Gun. Comparing government support, firm heterogeneity, and inter-firm spillovers for productivity enhancement: Evidence from the Korean solar energy technology industry[J]. Energy,2022,246:1232-1250.

[16] John Lopresti. Multiproduct firms and product scope adjustment in trade[J]. Journal of International Economics,2016,100:160-173.

[17] Yuyao Ye, Kangmin Wu, Yichun Xie, Gengzhi Huang, Changjian Wang, Jun Chen. How firm heterogeneity affects foreign direct investment location choice: Microevidence from new foreign manufacturing firms in the Pearl River Delta[J]. Applied Geography,2019,106:11-21.

[18] Gabriele Angori, David Aristei, Manuela Gallo. Banking relationships, firm-size heterogeneity and access to credit: Evidence from European firms[J]. Finance Research Letters,2020,33:4-19.

[19] Bögenhold Dieter. ‘book-review’Joseph A. Schumpeter. The Economics and Sociology of Capitalism[J]. Management Revue,1993,4(4):342-344.

[20] Chiraz Feki, Sirine Mnif. Entrepreneurship, Technological Innovation, and Economic Growth: Empirical Analysis of Panel Data[J]. Journal of the Knowledge Economy,2016,7(4):984-999.

[21] James R. Brown, Gustav Martinsson, Bruce C. Petersen. What promotes R&D ? Comparative evidence from around the world[J]. Research Policy,2016,46(2):447-462.

[22] Xin Chang, Yangyang Chen, Sarah Qian Wang, Kuo Zhang, Wenrui Zhang. Credit default swaps and corporate innovation[J]. Journal of Financial Economics,2019,134(2):474-500.

[23] Jin ah Son. An Exploratory Study on Types and Levels of Technological Innovation in Fashion Companies[J]. International Journal of Costume and Fashion,2020,20(1):74-87.

[24] Zhongfeng Su, Jie Chen, Hai Guo, Donghan Wang. Top management team’s participative decision-making, heterogeneity, and management innovation: an information processing perspective[J]. Asia Pacific Journal of Management,2021,21:1-23.

[25] Liu Yanni, Chen Yufen, Ren Yi, Jin Bixia. Impact mechanism of corporate social responsibility on sustainable technological innovation performance from the perspective of corporate social capital[J]. Journal of Cleaner Production,2021,308:127-134.

[26] Huang Jun, Xie Peijun, Zeng Yating, Li Yun. The Effect of Corporate Social Responsibility on the Technology Innovation of High-Growth Business Organizations[J]. Sustainability,2021,13(13):7286.

[27] Claudio Petti, Yongli Tang, Alessandro Margherita. Technological innovation vs technological backwardness patterns in latecomer firms: An absorptive capacity perspective[J]. Journal of Engineering and Technology Management,2019,51:10-20.

[28] Antonio Luis Leal-Rodríguez, Stephen Eldridge, José Luis Roldán, Antonio Genaro Leal-Millán, Jaime Ortega-Gutiérrez. Organizational unlearning, innovation outcomes, and performance: The moderating effect of firm size[J]. Journal of Business Research,2015,68(4):803-809.

[29] Lianying Zhang, Xiaonan Li. How to reduce the negative impacts of knowledge heterogeneity in engineering design team: Exploring the role of knowledge reuse[J]. International Journal of Project Management,2016,34(7):1138-1149.

[30] Liu Haihua, Wang Peng, Li Zejun. Is There Any Difference in the Impact of Digital Transformation on the Quantity and Efficiency of Enterprise Technological Innovation? Taking China’s Agricultural Listed Companies as an Example[J]. Sustainability,2021,13(23):12972.

[31] Yuandi Wang, Xin Pan, Xinyu Wang, Jin Chen, Lutao Ning, Ying Qin. Visualizing knowledge space: a case study of Chinese licensed technology, 2000–2012[J]. Scientometrics,2014,98(3):1935-1954.

[32] Kristy Buzard, Gerald A. Carlino, Robert M. Hunt, Jake K. Carr, Tony E. Smith. The agglomeration of American R&D labs[J]. Journal of Urban Economics,2017,101:14-26.

[33] Yang Zhou, Yuanzhi Guo,Y ansui Liu. High-level talent flow and its influence on regional unbalanced development in China[J]. Applied Geography,2018,91:89-98.

[34] Yongfeng Zhu, Zilong Wang, Shilei Qiu, Lingling Zhu. Effects of Environmental Regulations on Technological Innovation Efficiency in China’s Industrial Enterprises: A Spatial Analysis[J]. Sustainability,2019,11(7):2186.

[35] Ren Xiaosong, Wu Xuting, Liu Yujia, Sun Sha, Ren Xiaohang. The Spatial Spillover Effect of Environmental Regulation and Technological Innovation on Industrial Carbon Productivity in China: A Two-Dimensional Structural Heterogeneity Analysis[J]. Mathematical Problems in Engineering,2021,2021:561-575.

[36] Gu Xuesong, An Xiaoran, Liu Andong. Environmental Regulation, Corporate Eco-nomic Performance and Spatial Technology Spillover: Evidence from China’s Heavily Polluting Listed Corporations[J]. International Journal of Environmental Resear-ch and Public Health,2022,19(3):1131.

[37] 易靖韬.企业异质性、市场进入成本、技术溢出效应与出口参与决定[J].经济研究,2009,44(09):106-115.

[38] 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(05):73-89.

[39] 马永强,路媛媛.企业异质性、内部控制与技术创新绩效[J].科研管理,2019,40(05):134-144.

[40] 刘素坤,王乐,何文韬,王清.国际化程度对企业创新效率的影响——基于战略性新兴产业[J].经济问题,2022(03):95-103.

[41] 石文兵.企业异质性与出口行为的机理分析和实证研究[D].杭州:浙江工商大学,2018.

[42] 陈乘风.企业创新异质性对出口动态的影响[D].泉州:华侨大学,2020.

[43] 刘帷韬,刘德学,邓路.基于企业异质性分组的进口产品、贸易自由化与出口产品质量[J].产经评论,2020,11(05):136-151.

[44] 胡春阳,余泳泽.政府补助与企业全要素生产率——对U型效应的理论解释及实证分析[J].财政研究,2019(06):72-85.

[45] 李政,杨思莹,路京京.政府补贴对制造企业全要素生产率的异质性影响[J].经济管理,2019,41(03):5-20.

[46] 白洁.政府补贴对高科技企业全要素生产率的异质性影响[J].学习与实践,2020(09):66-74.

[47] 易靖韬,蒙双.贸易自由化、企业异质性与产品范围调整[J].世界经济,2018,41(11):74-97.

[48] 高菠阳,尉翔宇,黄志基,冯锐,刘卫东.企业异质性与中国对外直接投资——基于中国微观企业数据的研究[J].经济地理,2019,39(10):130-138.

[49] 杜雯秦,郭淑娟.企业异质性、研发投入与创新绩效——基于GPS的实证研究[J].科技管理研究,2021,41(23):124-132.

[50] 潘敏,袁歌骋.金融中介创新对企业技术创新的影响[J].中国工业经济,2019(06):117-135.

[51] 李玉山,陆远权.金融歧视、金融错配与技术创新[J].研究与发展管理,2020,32(04):25-36.

[52] 余明桂,范蕊,钟慧洁.中国产业政策与企业技术创新[J].社会科学文摘,2017(02):58-59.

[53] 黄嵩,倪宣明,张俊超,赵慧敏.政府引导基金能促进技术创新吗?——基于我国科技型初创企业的实证研究[J].管理评论,2020,32(03):110-121.

[54] 杨恺钧,闵崇智.技术创新对经济增长质量的驱动作用研究——以粤港澳大湾区为例[J].当代经济管理,2019,41(12):29-37.

[55] 王丽君.技术创新、标准化与经济增长——基于PVAR模型的实证分析[J].技术经济与管理研究,2020(04):54-59.

[56] 唐未兵,傅元海,王展祥.技术创新、技术引进与经济增长方式转变[J].经济研究,2014,49(07):31-43.

[57] 范德成,谷晓梅.高技术产业技术创新效率关键影响因素分析——基于DEA-Malmquist和BMA方法的实证研究[J].科研管理,2022,43(01):70-78.

[58] Wayne B. Gray. The Cost of Regulation: OSHA, EPA and the Productivity Slowdown[J]. The American Economic Review,1987,77(5):998-1006.

[59] 李瑞琴.环境规制、制度质量与绿色技术创新[J].现代经济探讨,2019(10):19-27.

[60] 张阿洋.持续经营能力、政府环境补贴与企业绿色技术创新[J].财会通讯,2021(22):52-55.

[61] 邝嫦娥,路江林.环境规制对绿色技术创新的影响研究——来自湖南省的证据[J].经济经纬,2019,36(02):126-132.

[62] 汪明月,李颖明,王子彤.异质性视角的环境规制对企业绿色技术创新的影响——基于工业企业的证据[J].经济问题探索,2022(02):67-81.

[63] 孙冰,王弘颖.企业异质性对技术创新扩散影响分析[J].技术经济与管理研究,2016(02):25-29.

[64] 余婉琴.企业异质性对技术创新扩散的影响研究[D].哈尔滨:哈尔滨工程大学,2018.

[65] 赵艳艳.政府R&D资助、企业异质性与技术创新效率[D].西安:西北大学,2018.

[66] 宗晓晗.企业异质性、公司治理与技术创新——来自中国上市公司的经验证据[J].商业经济研究,2018(18):126-128.

[67] 喻平,豆俊霞.数字普惠金融、企业异质性与中小微企业创新[J].当代经济管理,2020,42(12):79-87.

[68] 金刚,沈坤荣.中国工业技术创新空间扩散效应的时空演化[J].经济地理,2016,36(05):121-127.

[69] 钟章奇,何凌云.演化经济视角下技术创新扩散驱动的区域产业结构演化:一个新的理论分析框架[J].经济问题探索,2020(04):161-172.

[70] 邱士雷,王子龙,杨琬琨,董会忠.高技术产业创新能力的空间集聚效应分析[J].研究与发展管理,2018,30(06):128-137.

[71] 杜两省,胡海洋,姚晨.制度环境、技术创新资本流动与区域发展——基于空间集聚视角的研究[J].西南民族大学学报(人文社科版),2020,41(02):142-151.

[72] 孙红军,张路娜,王胜光.科技人才集聚、空间溢出与区域技术创新——基于空间杜宾模型的偏微分方法[J].科学学与科学技术管理,2019,40(12):58-69.

[73] 李强.技术创新溢出、外部经济环境与出口贸易高质量发展[J].统计与决策,2021,37(20):105-108.

[74] 李文辉,陈依楠,江涌芝,利雪莹,邱钰杰.中国经济发达地区高校技术创新溢出研究[J].科研管理,2021,42(03):120-130.

[75] W. R. Tobler. A Computer Movie Simulating Urban Growth in the Detroit Region[J]. Economic Geography,2016,46:234-240.

[76] 楼文高,熊聘,冯国珍,于晓虹.影响投影寻踪聚类建模的关键因素分析与实证研究[J].数理统计与管理,2017,36(05):783-801.

[77] 刘军.企业异质性与FDI行为:理论研究进展综述[J].国际贸易问题,2015(05):124-132.

[78] 赖伟娟,黄静波.出口行为、企业异质性与生产率研究——基于1999~2007年中国企业普查数据的实证分析[J].国际经贸探索,2011,27(07):26-33.

[79] Joseph A. Schumpeter. Review of the Troops (A Chapter from the History of Economic Analysis)[J]. The Quarterly Journal of Economics,1951,65(2): 149-180.

[80] 吴静.环境规制能否促进工业“创造性破坏”——新熊彼特主义的理论视角[J].财经科学,2018(05):67-78.

[81] Maxime Bernaert, Geert Poels, Monique Snoeck, Manu De Backer. CHOOSE: Towards a metamodel for enterprise architecture in small and medium-sized enterprises[J]. Information Systems Frontiers,2016,18(4):781-818.

[82] 张吉鹏,衣长军.国有产权性质、改制与企业对外直接投资[J].经济评论,2020(06):16-30.

[83] 吴波虹.财政补贴、税收优惠与企业技术创新能力——基于盈利能力的视角[J].技术经济与管理研究,2021(09):12-17.

[84] Hui-Ching Hsieh, Viona Claresta, Thi Minh Ngoc Bui. Green Building, Cost of Equity Capital and Corporate Governance: Evidence from US Real Estate Investment Trusts[J]. Sustainability,2020,12(9):3-7.

[85] Francisca Castilla-Polo, M. Isabel Sánchez-Hernández. Cooperatives and Sustainable Development: A Multilevel Approach Based on Intangible Assets[J]. Sustainability,2020,12(10):9-13.

[86] Andong Liu, Xuesong Gu. Environmental Regulation, Technological Progress and Corporate Profit: Empirical Research Based on the Threshold Panel Regression[J]. Sustainability,2020,12(4):18-22.

[87] Zhiguo He, Gregor Matvos. Debt and Creative Destruction: Why Could Subsidizing Corporate Debt Be Optimal?[J]. Management Science,2015:19-25.

[88] 赵艳丽.内部控制、股权结构与企业费用粘性[J].会计之友,2019(20):126-131.

[89] 刘媛媛,陶长琪.中国31省份数字贸易发展水平测算分析——基于RAGA投影寻踪模型[J].价格月刊,2021(04):69-76.

[90] Kabulova Jelena, Stankevičienė Jelena. Valuation of FinTech Innovation Based on Patent Applications[J]. Sustainability,2020,12(23):10-16.

[91] 叶康涛,李宛姗,赵奇锋.老马识途:“多面手”高管与企业创新[J].科研管理,2021,42(09):157-165.

[92] 史洁,李强.资源依赖、科技市场与科研人员创新绩效[J].经济问题,2020(02):42-49.

[93] Torsten Persson. Do Political Institutions Shape Economic Policy?[J]. Econometrica,2002,70(3):44-51.

中图分类号:

 F273.1    

开放日期:

 2022-06-16    

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