基于SDM的高速铁路对区域创新空间效应研究
|
摘要
高铁开通降低知识空间阻隔,有利于知识溢出,进而对创新活动产生重要影响。文章将时间距离纳入分析框架,研究高铁对区域创新的影响。研究表明:无论是地理距离还是时间距离,均对创新的空间溢出效应产生重要影响;高铁开通后,R&D人员投入对创新有显著促进作用,消费需求的空间溢出效应显著;分地区来看,高铁开通后东部地区收益最大,进一步增强了人才和消费需求对创新的贡献;对中部地区而言,创新能力的提升更多依赖本地区R&D资本和消费需求,高铁产生了负向溢出效应;西部地区创新受高铁的影响较小,更多依靠R&D人员投入与政府财政在科学技术方面的支出。研究对不同地区充分利用高铁优势,提升区域创新能力具有重要意义。
The opening of high-speed railway(HSR) reduces the barrier of knowledge space,which is conducive to knowledge spillover and has an important impact on innovation activities. Including time distance in the analysis framework,this paper studies the impact of HSR on regional innovation. The results show that there is a significant spatial autocorrelation of innovation,and both geographic distance and time distance have important effects on spatial spillover effects of the regional innovation. With the opening of the HSR,R&D personnel input has a significant positive effect on innovation and the spillover effect of consumption demand is significant,too. From the result of regional estimation,the eastern region benefits most from HSR which further enhances the contribution of innovative talents and the consumption demand to regional innovation;in the central region,the improvement of innovation ability relies more on the local R&D capital and consumption demand. Enhancing the accessibility has a negative spillover effect;the western region is less affected by HSR and the regional innovation capacity is enhanced more relying on R&D personnel input and government expenditure in science and technology. These results are of great significance to make the full utilization of the advantages of HSR in different regions and enhance regional innovation capability.
The opening of high-speed railway(HSR) reduces the barrier of knowledge space,which is conducive to knowledge spillover and has an important impact on innovation activities. Including time distance in the analysis framework,this paper studies the impact of HSR on regional innovation. The results show that there is a significant spatial autocorrelation of innovation,and both geographic distance and time distance have important effects on spatial spillover effects of the regional innovation. With the opening of the HSR,R&D personnel input has a significant positive effect on innovation and the spillover effect of consumption demand is significant,too. From the result of regional estimation,the eastern region benefits most from HSR which further enhances the contribution of innovative talents and the consumption demand to regional innovation;in the central region,the improvement of innovation ability relies more on the local R&D capital and consumption demand. Enhancing the accessibility has a negative spillover effect;the western region is less affected by HSR and the regional innovation capacity is enhanced more relying on R&D personnel input and government expenditure in science and technology. These results are of great significance to make the full utilization of the advantages of HSR in different regions and enhance regional innovation capability.
引文
[1]ROMER P M.Increasing returns and long-run growth[J].Journal of Political Economy,1986,94(5):1002-1037.
[2]CRESCENZI R,RODRíGUEZ-POSE A,STORPER M.The territorial dynamics of innovation in China and India[J].Journal of Economic Geography,2012,12(5):1055-1085.
[3]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(10):92-108.
[4]TRIPPL M,T?DTLING F,LUCA L.Knowledge sourcing beyond buzz and pipelines:Evidence from the Vienna software sector[J].Economic Geography,2009,85(4):443-462.
[5]孙瑜康,孙铁山,席强敏.北京市创新集聚的影响因素及其空间溢出效应[J].地理研究,2017,36(12):2419-2431.
[6]马茹.社会资本对中国区域创新的影响分析——基于空间知识溢出视角[J].软科学,2017,31(2):29-32.
[7]KEEBLE D,TYLER P.Enterprising behavior and the urban-rural shift[J].Urban Studies,1995,32(6):975-997.
[8]STORPER M,VENABLES A J.Buzz:Face-to-face contact and the urban economy[J].Journal of Economic Geography,2004,4(4):351-370.
[9]JAFFE A,TRAJTENBERG M,HENDERSON R.Geographic localization of knowledge spillovers as evidenced by patent citations[J].Quarterly Journal of Economics,1993,108(3):577-598.
[10]GROSSMAN G,ROSSI-HANSBERG E.Trading tasks:Asimple theory of offshoring[J].American Economic Review,1978,98(5):1978-1997.
[11]梁双陆,梁巧玲.交通基础设施的产业创新效应研究——基于中国省域空间面板模型的分析[J].山西财经大学学报,2016,38(7):60-72.
[12]马明,赵国浩.交通基础设施和人力资本对区域创新能力影响研究[J].财经问题研究,2017(8):122-129.
[13]ROUWENDAL J,MEIJER E.Preferences for housing,jobs,and commuting:A mixed logit analysis[J].Journal of Regional Science,2001,41:475-505.
[14]李欣泽,纪小乐,周灵灵.高铁能改善企业资源配置吗?——来自中国工业企业数据库和高铁地理数据的微观证据[J].经济评论,2017(6):3-21.
[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]汪德根,章鋆.高速铁路对长三角地区都市圈可达性影响[J].经济地理,2015,35(2):54-61,53.
[17]刘莉文,张明.高速铁路对中国城市可达性和区域经济的影响[J].国际城市规划,2017,32(4):76-81,89.
[18]刘军林,尹影.高铁交通体验对中小城市旅游空间结构的影响——以涪陵为例[J].经济地理,2016,36(5):190-194.
[19]王丽,曹有挥,仇方道.高铁开通前后站区产业空间格局变动及驱动机制——以沪宁城际南京站为例[J].地理科学,2017,37(1):19-27.
[20]卢福财,詹先志.高速铁路对沿线城市工业集聚的影响研究——基于中部城市面板数据的实证分析[J].当代财经,2017(11):88-99.
[21]杨勃,王茂军.城市专业化分工中的高铁效应[J].城市发展研究,2017,24(6):39-46,165.
[22]肖刚,杜德斌,李恒,等.长江中游城市群城市创新差异的时空格局演变[J].长江流域资源与环境,2016,25(2):199-207.
[23]苏屹,安晓丽,王心焕,等.人力资本投入对区域创新绩效的影响研究——基于知识产权保护制度门限回归[J].科学学研究,2017,35(5):771-781.
[24]王鹤,周少君.城镇化影响房地产价格的“直接效应”与“间接效应”分析——基于我国地级市动态空间杜宾模型[J].南开经济研究,2017(2):3-22.
[25]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,2015,50(7):174-187.
[26]金晓彤,黄蕊.技术进步与消费需求的互动机制研究——基于供给侧改革视域下的要素配置分析[J].经济学家,2017(2):50-57.
[27]原毅军,孙大明.FDI技术溢出、自主研发与合作研发的比较——基于制造业技术升级的视角[J].科学学研究,2017,35(9):1334-1347.
[2]CRESCENZI R,RODRíGUEZ-POSE A,STORPER M.The territorial dynamics of innovation in China and India[J].Journal of Economic Geography,2012,12(5):1055-1085.
[3]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(10):92-108.
[4]TRIPPL M,T?DTLING F,LUCA L.Knowledge sourcing beyond buzz and pipelines:Evidence from the Vienna software sector[J].Economic Geography,2009,85(4):443-462.
[5]孙瑜康,孙铁山,席强敏.北京市创新集聚的影响因素及其空间溢出效应[J].地理研究,2017,36(12):2419-2431.
[6]马茹.社会资本对中国区域创新的影响分析——基于空间知识溢出视角[J].软科学,2017,31(2):29-32.
[7]KEEBLE D,TYLER P.Enterprising behavior and the urban-rural shift[J].Urban Studies,1995,32(6):975-997.
[8]STORPER M,VENABLES A J.Buzz:Face-to-face contact and the urban economy[J].Journal of Economic Geography,2004,4(4):351-370.
[9]JAFFE A,TRAJTENBERG M,HENDERSON R.Geographic localization of knowledge spillovers as evidenced by patent citations[J].Quarterly Journal of Economics,1993,108(3):577-598.
[10]GROSSMAN G,ROSSI-HANSBERG E.Trading tasks:Asimple theory of offshoring[J].American Economic Review,1978,98(5):1978-1997.
[11]梁双陆,梁巧玲.交通基础设施的产业创新效应研究——基于中国省域空间面板模型的分析[J].山西财经大学学报,2016,38(7):60-72.
[12]马明,赵国浩.交通基础设施和人力资本对区域创新能力影响研究[J].财经问题研究,2017(8):122-129.
[13]ROUWENDAL J,MEIJER E.Preferences for housing,jobs,and commuting:A mixed logit analysis[J].Journal of Regional Science,2001,41:475-505.
[14]李欣泽,纪小乐,周灵灵.高铁能改善企业资源配置吗?——来自中国工业企业数据库和高铁地理数据的微观证据[J].经济评论,2017(6):3-21.
[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]汪德根,章鋆.高速铁路对长三角地区都市圈可达性影响[J].经济地理,2015,35(2):54-61,53.
[17]刘莉文,张明.高速铁路对中国城市可达性和区域经济的影响[J].国际城市规划,2017,32(4):76-81,89.
[18]刘军林,尹影.高铁交通体验对中小城市旅游空间结构的影响——以涪陵为例[J].经济地理,2016,36(5):190-194.
[19]王丽,曹有挥,仇方道.高铁开通前后站区产业空间格局变动及驱动机制——以沪宁城际南京站为例[J].地理科学,2017,37(1):19-27.
[20]卢福财,詹先志.高速铁路对沿线城市工业集聚的影响研究——基于中部城市面板数据的实证分析[J].当代财经,2017(11):88-99.
[21]杨勃,王茂军.城市专业化分工中的高铁效应[J].城市发展研究,2017,24(6):39-46,165.
[22]肖刚,杜德斌,李恒,等.长江中游城市群城市创新差异的时空格局演变[J].长江流域资源与环境,2016,25(2):199-207.
[23]苏屹,安晓丽,王心焕,等.人力资本投入对区域创新绩效的影响研究——基于知识产权保护制度门限回归[J].科学学研究,2017,35(5):771-781.
[24]王鹤,周少君.城镇化影响房地产价格的“直接效应”与“间接效应”分析——基于我国地级市动态空间杜宾模型[J].南开经济研究,2017(2):3-22.
[25]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,2015,50(7):174-187.
[26]金晓彤,黄蕊.技术进步与消费需求的互动机制研究——基于供给侧改革视域下的要素配置分析[J].经济学家,2017(2):50-57.
[27]原毅军,孙大明.FDI技术溢出、自主研发与合作研发的比较——基于制造业技术升级的视角[J].科学学研究,2017,35(9):1334-1347.