高新技术产业绿色创新效率时空分异及影响因素研究

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Abstract Using the Super-SBM model considering undesired output,the green innovation efficiency of high-tech industry in 30 provinces in China from 2009 to 2018 is measured.Based on the measurement results,the spatial-temporal differences characteristics are analyzed,and the influencing factors of green innovation efficiency are tested by GMM dynamic panel model.The results are as follows.From the perspective of time sequence evolution,the green innovation efficiency of regional high-tech industries shows a time-evolution trend from “large difference in low efficiency”to “small difference in high efficiency”,and the proportion of provinces with “high efficiency”gradually increases.From the perspective of spatial differences,the spatial differences features of “East-Central-West”descending in a stepped manner and “South is high and North is low”.The T-type green innovation pattern is basically formed.The “inefficient”provinces mainly come from the central and western regions.The R&D intensity,industrial scale and educational level of workers are beneficial to the promotion of green innovation efficiency.Industrial structure has a positive effect on efficiency but the effect is not outstanding.In addition,green innovation efficiency is correlated with government support and market competition negatively.

Key words： High-tech industry Green innovation efficiency Super-SBM model Spatial-temporal differences GMM dynamic panel

Received: 19 October 2020

PACS:

F062.4

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	Li Jian
	Li Ningning
	Yuan Qingmin

Cite this article:

Li Jian,Li Ningning,Yuan Qingmin. Study on the Spatial-Temporal Differences and Influencing Factors of Green Innovation Efficiency in High-Tech Industry[J]. , 2021, 2(4): 92-101.

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http://www.zgkjlt.org.cn/EN/ OR http://www.zgkjlt.org.cn/EN/Y2021/V2/I4/92

[1]李健,马晓芳.京津冀城市绿色创新效率时空差异及影响因素分析[J].系统工程,2019,37 (5):51-61.
[2]张峰,任仕佳,殷秀清.高技术产业绿色技术创新效率及其规模质量门槛效应[J].科技进步与对策,2020,37 (7):59-68.
[3]张钢,张小军.国外绿色创新研究脉络梳理与展望[J].外国经济与管理,2011,33 (8):25-32.
[4]李旭.绿色创新相关研究的梳理与展望[J].研究与发展管理,2015,27 (2):1-11.
[5]TEEMU M,TOMMI I.Sectoral and technological systems of environmental innovation:the case of marine scrubber systems[J].Cleaner production,2018,200:110-121.
[6]FERNANDO Y,CHIAPPETTA JABBOUR C J,WAH W X.Pursuing green growth in technology firms through the connections between environmental innovation and sustainable business performance:does service capability matter[J].Resources conservation & Recycling,2019,141:8-20.
[7]CARCIAPOZO A,SANCHEZOLLERO J L,MARCHANTELARA M.Eco-innovation and management:an empirical analysis of environmental good practices and labor productivity in the Spanish hotel industry[J].Innovation organization and management,2015,17 (1):58-68.
[8]邝嫦娥,文泽宙,彭文斌.影子经济影响绿色创新效率的门槛效应[J].经济地理,2019,39 (7):184-193.
[9]李金滟,李超,李泽宇.城市绿色创新效率评价及其影响因素分析[J].统计与决策,2017 (20):116-120.
[10]曹霞,于娟.绿色低碳视角下中国区域创新效率研究[J].中国人口·资源与环境,2015,25 (5):10-19.
[11]刘章生,宋德勇,弓媛媛.中国绿色创新能力的时空分异与收敛性研究[J].管理学报,2017,14 (10):1475-1483.
[12]王惠,王树乔,苗壮,等.研发投入对绿色创新效率的异质门槛效应——基于中国高技术产业的经验研究[J].科研管理,2016,37 (2):63-71.
[13]钱丽,王文平,肖仁桥.共享投入关联视角下中国区域工业企业绿色创新效率差异研究[J].中国人口·资源与环境,2018,28 (5):27-39.
[14]李婉红.中国省域工业绿色技术创新产出的时空演化及影响因素:基于30个省域数据的实证研究[J].管理工程学报,2017,31 (2):9-19.
[15]AMORE M D,BENNEDSEN M.Corporate governance and green innovation[J].Journal ofenvironmental economics and management,2016,75 (1):54-72.
[16]易明,彭甲超,吴超.基于SFA方法的中国高新技术产业创新效率研究[J].科研管理,2019,40 (11):22-31.
[17]黄鲁成,陈笑,杨早立.北京高新技术企业创新能力研究[J].中国科技论坛,2019 (1):89-99.
[18]许学国,王依灿,罗冬康.技术异质、区域差距与高技术产业创新效率——以长江经济带为例[J].中国科技论坛,2020 (2):110-121+132.
[19]刘俊,白永秀,韩先锋.城市化对中国创新效率的影响——创新二阶段视角下的SFA模型检验[J].管理学报,2017,14 (5):704-712.
[20]余泳泽,刘大勇.创新价值链视角下的我国区域创新效率提升路径研究[J].科研管理,2014,35 (5):27-37.
[21]CHUN H,KIM J W,LEE J.How does information technology improve aggregate productivity? A new channel of productivity dispersion and real location[J].Research policy,2015,44 (5):999-1016.
[22]张军,吴桂英,张吉鹏.中国省际物质资本存量估算:1952—2000[J].经济研究,2004 (10):35-44.
[23]朱平芳,徐伟民.政府的科技激励政策对大中型工业企业R&D投入及其专利产出的影响——上海市的实证研究[J].经济研究,2003 (6):45-53+94.
[24]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).
[25]杨庆,张贝尔,蒋旭东,等.长江经济带高技术产业发展效率评价及区域影响因素研究[J].宏观经济研究,2018 (8):68-74.