区域创新空间关联特征及其关键因素分析
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摘要
本文收集1999—2016年30个省市发明授权、技术市场成交额及空间关联相关数据,运用网络分析法及QAP方法分析区域创新空间关联的特征指标、创新功能板块、空间溢出机制及关键影响因素。研究发现:①区域创新空间关联较多、紧密度偏低、稳健性较高,溢出存在门槛效应;②区域创新可以划分为四个不同的创新板块,分别为净溢出、经纪人、净受益与主受益板块;③区域创新溢出有较明显的梯度特征,第一板块为创新动力源,将创新动能传给第二板块;第二板块发挥纽带作用,将动能传递给第三、四板块;第四板块又将动能传到第三板块;④区域创新的空间关联既有显著的正向空间溢出效应,又有"孔雀东南飞"的负向空间溢出效应,研发经费、地理距离、外商直接投资是区域创新空间关联的主要因素。
This paper collects data of invention licencing,technical market turnover and space correlation in 30 Chinese provinces and cities from 1999 to 2016. Using the method of network analysis and QAP,the paper analyzes the general characteristics of China's regional innovation spatial correlation,innovation function plate,space overflow mechanism and the key influencing factors. Finding:①China's regional innovation has such characteristics as a strong spatial correlation,a low compactness,a high robustness,and there exists a threshold effect of overflow. ②China's regional innovation can be divided into four different sectors,including the net overflow,the broker,net benefit and main benefit. ③There are obvious gradient characteristics in regional innovation spillover in China. The first sector is the innovation power source,which passes the innovation kinetic energy to the second sector. The second sector,acting as a bond,transfers the kinetic energy to the third and fourth sectors. The fourth sector will also transfer the kinetic energy back to the third sector. ④With both its positive and negative spatial spillover effects of"peacock southeast flight",spatial correlation of regional innovation in China is mainly influenced by research and development funds,geographical proximity and foreign direct investment.
This paper collects data of invention licencing,technical market turnover and space correlation in 30 Chinese provinces and cities from 1999 to 2016. Using the method of network analysis and QAP,the paper analyzes the general characteristics of China's regional innovation spatial correlation,innovation function plate,space overflow mechanism and the key influencing factors. Finding:①China's regional innovation has such characteristics as a strong spatial correlation,a low compactness,a high robustness,and there exists a threshold effect of overflow. ②China's regional innovation can be divided into four different sectors,including the net overflow,the broker,net benefit and main benefit. ③There are obvious gradient characteristics in regional innovation spillover in China. The first sector is the innovation power source,which passes the innovation kinetic energy to the second sector. The second sector,acting as a bond,transfers the kinetic energy to the third and fourth sectors. The fourth sector will also transfer the kinetic energy back to the third sector. ④With both its positive and negative spatial spillover effects of"peacock southeast flight",spatial correlation of regional innovation in China is mainly influenced by research and development funds,geographical proximity and foreign direct investment.
引文
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[8]张占仁.中国创新发展的区域关联及空间溢出效应研究[J].科学学研究,2013,31(9):1391-1398.
[9]赵雨涵,宋旭光.我国区域创新空间关联的测度与分析[J].西南民族大学学报,2017(7):84-92.
[10]李敬.中国区域经济增长的空间关联及其解释[J].经济研究,2014(11):4-16.
[11]GROENEWOLD N. Regional output spillovers in China:estimate from a VAR model[J].Regional science,2007(86):101-122.
[12]FREEMAN L C. Centrality in social networks:concetpual clarification[J].Social networks,1979(1):215-239.
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[15]郭淑芬,郭金花,李晓琪.合作创新质量、知识吸收能力与企业创新绩效[J].南京工业大学学报(社会科学版),2017,16(3):89-99.
[2]JAFFE A. Real effects of academic research[J].American economic review,1989,79(5):957-970.
[3]李琳,牛婷玉.基于SNA的区域创新产出空间关联网络结构演变[J].经济地理,2017,37(9):19-25.
[4]王灿华.地理邻近、信息化程度对我国区域技术创新的影响研究[D].广州:暨南大学,2012.
[5]白俊红,蒋伏心.协同创新、空间关联与区域创新绩效[J].经济研究,2015(7):174-187.
[6]李晓龙,冉光和,郑威.金融发展、空间关联与区域创新产出[J].研究与发展管理,2017,29(1):55-64.
[7]张虎,韩爱华.金融集聚、创新空间效应与区域协调机制研究[J].中南财经政法大学学报,2017(1):10-17.
[8]张占仁.中国创新发展的区域关联及空间溢出效应研究[J].科学学研究,2013,31(9):1391-1398.
[9]赵雨涵,宋旭光.我国区域创新空间关联的测度与分析[J].西南民族大学学报,2017(7):84-92.
[10]李敬.中国区域经济增长的空间关联及其解释[J].经济研究,2014(11):4-16.
[11]GROENEWOLD N. Regional output spillovers in China:estimate from a VAR model[J].Regional science,2007(86):101-122.
[12]FREEMAN L C. Centrality in social networks:concetpual clarification[J].Social networks,1979(1):215-239.
[13]WHITE H C. Social structure from multiple networks I:blockmodels of roles and positions[J].Amercian journal of sociology,1976,81:730-779.
[14]GRILICHES S. Issues in assessing the contribution of R&D to productivity growth[J]. Bell journal of economics,1979(76):92-116.
[15]郭淑芬,郭金花,李晓琪.合作创新质量、知识吸收能力与企业创新绩效[J].南京工业大学学报(社会科学版),2017,16(3):89-99.