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Does the Flow of R&D Elements under the Compression of Time and Space Improve the Efficiency of Regional Green Innovation |
Li Tao1,2,Liu Guoyan3 |
(1.Business School,HebeiUniversity of Economics and Business,Shijiazhuang 050061,China;2.School of Government, Peking University, Beijing 100871, China;3.School of Economics and Management, Hebei University of Technology, Tianjin 300401, China) |
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Abstract The spatial weight matrix is constructed based on the commuting time of high-speed rail between regions. The spatial Dobbin model (SDM) and the panel threshold model (PTR) are used to empirically test the impact of R&D factor flow on regional green innovation efficiency under space-time compression. The results show that: after the opening of high-speed rail, the promotion effect of R&D factor flow on green innovation efficiency is significantly enhanced, and the direct effect of R&D personnel flow is greater; the influence of R&D factor flow on green innovation efficiency under the compression of time and space is regional heterogeneity, the eastern region is more likely to benefit from the higher degree and ability of innovation resources, while the western region is limited by geographical location In the stage of economic development, the influence of R&D factor flow on its green innovation efficiency is weak; the four moderating factors of R & D personnel flow, financial expenditure on science and technology, infrastructure construction and marketization level all show threshold characteristics and all show "gradient" enhancement.
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Received: 15 December 2020
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[1] 白俊红,王钺,蒋伏心,等. 研发要素流动、空间知识溢出与经济增长[J]. 经济研究,2017,52(7):109-123. [2] 于明洁,郭鹏,张果. 区域创新网络结构对区域创新效率的影响研究[J]. 科学学与科学技术管理,2013,34(8):56-63. [3] GUAN J C,CHEN K H. Measuring the innovation production process:a cross-region empirical study of China's high-tech innovations[J]. Technovation,2010,30(5-6):348-358. [4] 颜莉. 我国区域创新效率评价指标体系实证研究[J]. 管理世界,2012,28(5):174-175. [5] 杨友才,耿璐璐,史倩姿. 我国高技术产业间技术创新效率溢出效应:基于GVAR模型的研究[J]. 管理评论,2020,32(6):138-149. [6] 金怀玉,菅利荣. 考虑滞后效应的我国区域科技创新效率及影响因素分析[J]. 系统工程,2013,31(9):98-106. [7] 桂黄宝. 我国高技术产业创新效率及其影响因素空间计量分析[J]. 经济地理,2014,34(6):100-107. [8] 李政,杨思莹,何彬. FDI抑制还是提升了中国区域创新效率:基于省际空间面板模型的分析[J]. 经济管理,2017,39(4):6-19. [9] 高擎,何枫,吕泉. 产学研协同创新背景下高校科技创新效率研究:基于我国重点高校面板数据的实证分析[J]. 研究与发展管理,2020,32(5):175-186. [10] 刘志春,陈向东. 科技园区创新生态系统与创新效率关系研究[J]. 科研管理,2015,36(2):26-31,144. [11] 刘军,王佳玮,程中华. 产业聚集对协同创新效率影响的实证分析[J]. 中国软科学,2017,32(6):89-98. [12] 吴芹,蒋伏心. 创新价值链下科技服务业集聚对区域创新效率的影响[J]. 中国科技论坛,2020,36(5):128-137. [13] 杨树旺,吴婷,李梓博. 长江经济带绿色创新效率的时空分异及影响因素研究[J]. 宏观经济研究,2018,40(6):107-117,132. [14] 李晓龙,冉光和,郑威. 科技服务业空间集聚与企业创新效率提升:来自中国高技术产业的经验证据[J]. 研究与发展管理,2017,29(4):1-10. [15] 龙玉,赵海龙,张新德,等. 时空压缩下的风险投资:高铁通车与风险投资区域变化[J]. 经济研究,2017,52(4):195-208. [16] 毛琦梁. 时空压缩下的空间知识溢出与产业升级[J]. 科学学研究,2019,37(3):422-435. [17] OOSTERHAVEN J,ROMP W E. Indirect economic effects of new infrastructure:a comparison of Dutch high speed rail variants[J]. Tijdschrift Voor Economische En Sociale Geografie,2003,94(4):439-452. [18] PAUL ALMEIDA,BRUCE KOGUT. Localization of knowledge and the mobility of engineers in regional networks[J]. Management Science (Journal of the Institute of Management Sciences),1999,45(7):905-917. [19] YIN M,BERTOLINI L,DUAN J. The effects of the high-speed railway on urban development: international experience and potential implications for China[J]. Progress in Planning,2015,98:1-52. [20] 程开明,王亚丽. 城市网络激发技术创新的机理及证据[J]. 科学学研究,2013,31(9):1399-1411,1440. [21] GIBBONS S,MACHIN S. Valuing rail access using transport innovations[J]. Journal of Urban Economics,2005,57(1):148-169. [22] 王钺,白俊红. 资本流动与区域创新的动态空间收敛[J]. 管理学报,2016,13(9):1374-1382. [23] 杜兴强,侯菲,赖少娟. 交通基础设施改善抑制了审计师选择的“地缘偏好”吗:基于中国高速列车自然实验背景的经验证据[J]. 审计研究,2018,34(1):103-110. [24] 余泳泽. 创新要素集聚、政府支持与科技创新效率:基于省域数据的空间面板计量分析[J]. 经济评论,2011,32(2):93-101. [25] CHRISTOFFERSEN J,PLENBORG T,ROBSON M J. Measures of strategic alliance performance,classified and assessed[J]. International Business Review,2014,23(3):479-489. [26] BOURREAU M,VERDIER M. Cooperative and noncooperative R&D in two-sided markets[J]. Review of Network Economics,2014,13(2):175-190. [27] 乔彬,张蕊,雷春. 高铁效应、生产性服务业集聚与制造业升级[J]. 经济评论,2019,40(6):80-96. [28] 董艳梅,朱英明. 高铁建设能否重塑中国的经济空间布局:基于就业、工资和经济增长的区域异质性视角[J]. 中国工业经济,2016,33(10):92-108. [29] 郑万腾,赵红岩,陈羽洁,等. 技术扩散能否成为区域创新效率提升的新动能:研发要素流动视角[J]. 科技进步与对策,2020,37(21):56-63. [30] 邵汉华,钟琪. 研发要素空间流动与区域协同创新效率[J]. 软科学,2018,32(11):120-123,129. [31] GRILLITSCH M,NILSSON M. Innovation in peripheral regions:do collaborations compensate for a lack of local knowledge spillovers[J]. The Annals of Regional Science,2015,54(1):299-321.[32] GANG FAN, XIAOLU WANG, GUANGRONG MA. The contribution of marketization to China's economic growth[J].China Economist,2012,7(2):4-14.[33] LE SAGE J,PACE R. Introduction to spatial econometrics[M]. New York: CRC Press,2009:73-76.[34] 杨柏,陈银忠,李爱国,等.政府科技投入、区域内产学研协同与创新效率[EB/OL].科学学研究: 1-14[2020-12-11].https://doi.org/10.16192/j.cnki.1003-2053.20200924.002. [35] 田红彬,郝雯雯. FDI、环境规制与绿色创新效率[J]. 中国软科学,2020,35(8):174-183. |
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