The agglomeration structure and function of science and technology service industry are closely related to the demands and conditions of regional innovation. Recent research shows that the existing functions and layout of science and technology service industry in China cannot meet the innovation service needs of high-tech manufacturing industries, so it is an urgent task to pay attention to the reasonable adjustment of science and technology service industry structure. By using the methods of Herfindahl Diversified Index (HDI), Location Entropy and Grey Correlation Degree Analysis, this paper makes analyses on the agglomeration scale, space-time distribution, structural characteristics and locational factors of science and technology service industry in China′s 31 provincial-level regions from the year of 2003 to 2018.
There are some important findings as follows. First, the science and technology service industry are highly concentrated in the developed provincial-level regions with high innovation level and large-scale innovation service demands, and the scale gap among provincial-level regions is gradually narrowing with time. Second, the evolution trends of the three sub formats for science and technology service industry are as follows: the specialized agglomeration of research & development service is growing and the agglomeration center shifts eastwards, the specialized agglomeration of professional technical service is decreasing and the agglomeration center shifts westwards, and the specialized agglomeration of science-technology promotion and application service is growing with characteristics of provincial uniform distribution. Third, the science and technology service industry mainly presents three characteristics of three agglomeration structure types of single format, one principal-one subsidiary and multi formats, two evolution trends that research & development service or science-technology promotion and application service may prevail in the future agglomeration structure, as well as four evolution paths of agglomeration structure. Fourth, the agglomeration structure of science and technology service industry is influenced by locational factors, while there are influencing factor differences among three service formats.
Combined with the characteristics of the agglomeration structure of science and technology service industry in China and the differences of location factors among provincial-level regions, this paper puts forward relevant countermeasures and suggestions for science and technology service industry development from four aspects: 1) promote the sequential and interactive development of science and technology service industry among provincial-level regions according to the heterogeneity of spatial distribution and location factors of science and technology service industry; 2) developed provincial-level regions should focus on the adjustment of the agglomeration structure, and less developed provincial-level regions should continue to promote the agglomeration degree of science and technology services; 3) make policies on science and technology service industry development based on the locational factors of each provincial-level region; and 4) focus on two sub formats of science and technology service industry in the future including research & development service and science-technology promotion and application service.
This research may be helpful for us to grasp the space-time evolution law and the locational factors of Chinese science and technology service industry agglomeration, and it has a positive role in optimizing regional science and technology service industry development planning and policy, improving the agglomeration structure of science and technology service industry and promoting the quality and level of science and technology service.
Key words
science and technology service industry /
agglomeration structure /
locational factor /
specialization /
diversification
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References
[1]朱卫东, 谭清美.基于系统构成要素功能的科技服务业评价指标体系研究[J].科学学研究, 2008, 26(S2):373-375
[2]Zhou D, Kautonen M, Wang H, Wang L.How to interact with knowledge-intensive business services: A multiple case study of small and medium manufacturing enterprises in China [J][J].Journal of Management & Organization, 2016, 23(2):297-318
[3]Huggins R.The growth of knowledge-intensive business services: Innovation,markets and networks[J].European Planning Studies, 2011, 19(8):1459-1480
[4]Shearmur R.The geography of intrametropolitan KIBS innovation: Distinguishing agglomeration economies from innovation dynamics [J][J].Urban Studies, 2012, 49(11):2331-2356
[5]刘媛, 黄斌, 姚缘.我国典型科技服务业集聚区发展模式对江苏的启示[J].科技管理研究, 2016, 36(2):189-193
[6]张鹏, 梁咏琪, 杨艳君.中国科技服务业发展水平评估及区域布局研究[J].科学学研究, 2019, 37(5):833-844
[7]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
[8]Zhang C.Agglomeration of knowledge intensive business services and urban productivity [J][J].Papers in Regional Science, 2015, 95(4):801-818
[9] 席强敏, 陈曦, 李国平.中国城市生产性服务业模式选择研究——以工业效率提升为导向[J] [J].中国工业经济, 2015, 0(2):18-30
[10]Wang J, Zhang X, Yeh A G O.Spatial proximity and location dynamics of knowledge-intensive business service in the Pearl River Delta,China [J][J].Habitat International, 2016, 53(4):390-402
[11] 朱文涛, 顾乃华.科技服务业集聚是否促进了地区创新——本地效应与省际影响[J][J].中国科技论坛, 2017, 0(11):83-92-98
[12] 张琴, 赵丙奇, 郑旭.科技服务业集聚与制造业升级: 机理与实证检验[J] [J].管理世界, 2015, 0(11):178-179
[13] 张清正, 李国平.中国科技服务业集聚发展及影响因素研究[J] [J].中国软科学, 2015, 0(7):75-93
[14]Mack E A.Broadband and knowledge intensive firm clusters: Essential link or auxiliary connection? [J][J].Papers in Regional Science, 2012, 93(1):3-29
[15]Jacobs W, Koster H R A, Van Oort F.Co-agglomeration of knowledge-intensive business services and multinational enterprises [J][J].Journal of Economic Geography, 2013, 14(2):443-475
[16]Yum S.The interaction between knowledge-intensive business services and urban economy [J][J].The Annals of Regional Science, 2019, 63(1):53-83
[17]Gallego J, Maroto A.The specialization in knowledge-intensive business services (KIBS) across europe: Permanent co-localization to debate [J][J].Regional Studies, 2015, 49(4):644-664
[18]林宏杰.市场效应、政府行为与科技服务业集聚发展的空间视角分析——以福建省为例[J].重庆大学学报社会科学版, 2018, 24(5):1-17
[19]张清正.新”新经济地理学视角下科技服务业发展研究——基于中国个城市的经验证据[J].科学学研究, 2015, 33(10):1464-1470
[20]钟小平.集聚租与政策租对科技服务业集聚影响的理论分析[J].科技管理研究, 2014, 34(16):99-103
[21]Deza X V, Lopez M G.Regional concentration of knowledge-intensive business services in Europe [J][J].Environment and Planning C: Government and Policy, 2014, 32(6):1036-1058
[22]Pina K, Tether B S.Towards understanding variety in knowledge intensive business services by distinguishing their knowledge bases [J][J].Research Policy, 2016, 45(2):401-413
[23] 袁海红, 张华, 曾洪勇.产业集聚的测度及其动态变化——基于北京企业微观数据的研究[J] [J].中国工业经济, 2014, 0(9):38-50
[24] 安虎森.新区域经济学[M] . 大连:东北财经大学出版社, 2010.
[25]陈长石, 姜廷廷, 刘晨晖.产业集聚方向对城市技术创新影响的实证研究[J].科学学研究, 2019, 37(1):77-85
[26] 冼国明, 文东伟.FDI、地区专业化与产业集聚[J] [J].管理世界, 2006, 0(12):18-31
[27]Helleputte J V, Reid A.Tackling the paradox: Can attaining global research excellence be compatible with local technology development? [J][J].R& D Management, 2004, 34(1):33-44
[28] 柳卸林, 何郁冰.基础研究是中国产业核心技术创新的源泉[J] [J].中国软科学, 2011, 0(4):104-117