The impacts of technological relatedness on industrial innovation in central China
HAO Jun1, ZENG Gang,1, ZHAO Jianji2, HU Zhiqiang21. Center for Modern Chinese City Studies & School of City and Regional Science, East China Normal University, Shanghai 200062, China 2. Key Research Institute of Yellow River Civilization and Sustainable Development, Henan University, Kaifeng 475001, Henan, China
Abstract Cognitive proximity based on technological relatedness has an important impact on the knowledge spillover effect between industries. This conclusion refutes the important influence of traditional geographical proximity based on knowledge externality on knowledge spillover. The existing research mainly focused on the promotion of high-tech industry innovation by technological relatedness at national spatial scale, but ignored the analysis of the relationship between traditional manufacturing technological relatedness and industrial innovation at regional spatial scales, especially for underdeveloped regions. This paper draws on the concept of cognitive proximity in evolutionary economic geography, and uses the improved technological relatedness analysis method to take central China as an example to investigate the impact mechanism of technological relatedness on industrial innovation in the four-digit classification level dimension of manufacturing industry. The results show that: (1) the industrial technological relatedness in central China has significantly improved industrial innovation performance, and the effect becomes more and more obvious with the passage of time. (2) From the perspective of regional heterogeneity, the technological relatedness of Shanxi Province, which is dominated by resource-based industries and has poor economic development prospects, is not significant. The level of innovation in manufacturing of another five provinces, namely Henan, Hubei, Hunan, Anhui, and Jiangxi, is obviously promoting, and the spatial pattern shows a strong central but a weak link between the north and south. (3) From the perspective of industry categories, technological relatedness not only plays a significant role in promoting high-tech industrial innovation, but also has a great impact on the promotion of resource-intensive, labor-intensive, and capital-intensive industrial innovations, although the degree of influence is different. The role of technological relatedness in promoting industrial innovation from strong to weak is followed by technology-intensive industries, labor-intensive industries, resource-intensive industries, and capital-intensive industries. (4) In addition, this paper finds that the fierce competitive environment and government policy support contribute to the improvement of manufacturing innovation. Local governments should take measures to promote industrial innovation from two aspects: establishing innovative platforms and technology service institutions to strengthen inter-industry and intra-industry enterprise contact and shorten the cognitive distance between industries; prioritizing the development of industries that have higher technological relatedness with local industries, and introducing related companies, thus to promote the transformation and upgrading of regional industries. Keywords:industrial innovation;technological relatedness;cognitive proximity;central China
PDF (2731KB)元数据多维度评价相关文章导出EndNote|Ris|Bibtex收藏本文 本文引用格式 郝均, 曾刚, 赵建吉, 胡志强. 中国中部地区技术关联对产业创新的影响研究. 地理研究[J], 2020, 39(3): 601-610 doi:10.11821/dlyj020190049 HAO Jun. The impacts of technological relatedness on industrial innovation in central China. Geographical Research[J], 2020, 39(3): 601-610 doi:10.11821/dlyj020190049
Tab. 3 表3 表32000—2013年技术关联对中部地区产业创新的回归结果 Tab. 3Regression results of technological relatedness and industrial innovation in central China during 2000-2013
Tab. 4 表4 表42013年技术关联对中部地区六省产业创新水平的回归结果 Tab. 4Regression results of technological relatedness and industrial innovation of six province in central China in 2013
Tab. 6 表6 表62013年中部地区技术关联对不同产业创新的回归结果 Tab. 6Regression results of technological relatedness and industrial innovation of different industries in central China in 2013
Hidalgo CA, KlingerB, Barabasi AL , et al. The product space conditions the development of nations , 2007,317(5837):482-487. [本文引用: 3]
NeffkeF, HenningM, BoschmaR . How do regions diversify over time? Industry relatedness and the development of new growth paths in regions , 2011,87(3):237-265. [本文引用: 2]
BoschmaR, MinondoA, NavarroM . The emergence of new industries at the regional level in Spain: A proximity approach based on product relatedness , 2013,89(1):29-51. [本文引用: 1]
NeffkeF, HenningM, BoschmaR , et al. The dynamics of agglomeration externalities along the life cycle of industries , 2011,45(1):49-65. [本文引用: 1]
BoschmaR, FrenkenK, BatheltH , et al. Technological relatedness and regional branching: Beyond territory , 2012: 64-68. [本文引用: 1]
[ GuoQi, HeCanfei . Progress of research on technological relatedness in the perspective of evolutionary economic geography Progress in Geography, 2018,37(2):229-238.] [本文引用: 1]
FrenkenK, Van OortF, VerburgT . Related variety, unrelated variety and regional economic growth , 2007,41(5):685-697. [本文引用: 1]
FrenkenK, Boschma RA . A theoretical framework for evolutionary economic geography: Industrial dynamics and urban growth as a branching process , 2007,7(5):635-649. [本文引用: 1]
[ YanYan, HeCanfei, WangJunsong . Industrial linkage, institutional environment and regional industrial evolution Journal of Beijing Technology and Business University: Social Sciences, 2017,32(1):118-126.] [本文引用: 1]
XiaoJing, BoschmaR, AnderssonM . Industrial diversification in Europe: The differentiated role of relatedness , 2018,94(5):514-549. [本文引用: 2]
Tanner AN . The emergence of new technology-based industries: The case of fuel cells and its technological relatedness to regional knowledge bases , 2015,16(3):611-635. [本文引用: 1]
[ WangShanyan, WangShijun, TianJunfeng , et al. Spatial-temporal characteristics of innovation output and its influencing factors of the key industries in China Geographical Research, 2019,38(2):259-272.] [本文引用: 1]
EssletzbichlerJ . Relatedness, industrial branching and technological cohesion in US metropolitan areas , 2015,49(5):752-766. [本文引用: 1]
GuoQi, HeCanfei . Production space and regional industrial evolution in China , 2017,82(2):379-396. [本文引用: 1]
[ ZhouHuiqiu, ZhouDequn, ZhuPeipei . Regional pillar industry selection based on DAMATEL method-taking Xuzhou city, Jiangsu province as an example Statistical Research, 2006,23(4):50-52.] [本文引用: 1]
FeldmanP, AudretschB . Innovation in cities: Science-based diversity, specialization and localized competition , 1999,43(2):409-429. [本文引用: 2]
[ MaShuang, ZengGang, ZhangYiou , et al. Research on the relationship between quality of local government and regional innovation performance in the cities of China Economic Geography, 2017,37(5):35-41.] [本文引用: 1]
[ HeCanfei, PanFenghua . City industry growth in China: Perspectives of dynamic externalities and economic transition Geographical Research, 2009,28(3):726-737.] [本文引用: 1]
[ PanZhen . Does FDI benefit scientific and technical development in China - the evidence from the provincial data China Soft Science, 2005, (10):66-72.] [本文引用: 1]
[ PengXiang, JiangChuanhai . Industrial agglomeration, technological spillovers and regional innovation: Evidences from China China Economic Quarterly, 2011,10(2):913-934.] [本文引用: 1]
[ ZhangWanli, WeiWei . The impact of manufacturing agglomeration on efficiency: Restrain or promote? PSTR analysis based on region and factor intensity classification South China Journal of Economics, 2018, (4):95-113.] [本文引用: 1]