WANG Qiuyu, ZENG Gang. Spatial Organization of Innovation in the Oil Equipment Manufacturing Industry: Case of Dongying, China[J]. Chinese Geographical Science, 2020, 30(2): 324-339. doi: 10.1007/s11769-019-1092-5
Citation: WANG Qiuyu, ZENG Gang. Spatial Organization of Innovation in the Oil Equipment Manufacturing Industry: Case of Dongying, China[J]. Chinese Geographical Science, 2020, 30(2): 324-339. doi: 10.1007/s11769-019-1092-5

Spatial Organization of Innovation in the Oil Equipment Manufacturing Industry: Case of Dongying, China

doi: 10.1007/s11769-019-1092-5
Funds:

Under the auspices of National Natural Science Foundation of China (No. 41901158), China Postdoctoral Science Foundation (No. 2019M651428), Humanities and Social Sciences Research Planning Fund from Ministry of Education of China (No. 19YJC790138), The Soft Science Research Program of Shanghai Science and Technology development Commission (No. 19692102400)

  • Received Date: 2019-03-07
  • As innovation and technological change have become increasingly important for the competitiveness and sustainable growth of firms, cooperative innovation is now crucial for traditional industries in the context of globalization. This paper proposes a framework for analyzing the spatial pattern of cooperative innovation for traditional industries in developing countries. Based on in-depth interviews with 35 firms in the oil equipment manufacturing industry in Dongying City, China, this study argues that different firms in the innovation pyramid have various innovation activity preferences and spatial patterns. Firms with high innovation abilities tend to cooperate with various partners that are geographically dispersed and continuously expanding, while firms with inferior abilities usually cooperate with nearby fixed partners. Due to the differences in innovation environment and actor locations, firms tend to make different choices regarding innovation types and models, which highlight the importance of personnel training and basic scientific research at the global scale and practical product research and development at the national scale. Additionally, talent flow is the most important way to realize relationships for firm innovation activity.

  • [1] Asheim B T, Coenen L, 2005. Knowledge bases and regional innovation systems:comparing Nordic clusters. Research Policy, 34(8):1173-1190. doi: 10.1016/j.respol.2005.03.013
    [2] Asheim B T, 2007. Differentiated knowledge bases and varieties of regional innovation systems. Innovation, 20(3):223-241. doi: 10.1080/13511610701722846
    [3] Bathelt H, Malmberg A, Maskell P, 2004. Clusters and knowledge:local buzz, global pipelines and the process of knowledge creation. Progress in Human Geography, 28(1):31-56. doi: 10.1191/0309132504ph469oa
    [4] Bathelt H, Zeng G, 2014. The development of trade fair ecologies in China:case studies from Chengdu and Shanghai. Environment & Planning A:Economy and Space, 46(3):511-530. doi: 10.1068/a45661
    [5] Binz C, Truffer B, 2017. Global innovation systems-a conceptual framework for innovation dynamics in transnational contexts. Research Policy, 46(7):1284-1298. doi: 10.1016/j.respol.2017.05.012
    [6] Boschma R A, Wenting R, 2007. The spatial evolution of the British automobile industry:does location matter? Industrial & Corporate Change, 16(2):213-238. doi: 10.1093/icc/dtm004
    [7] Cao Y Z, Qian Y Y, Weingast B R, 1999. From federalism, Chinese style to privatization, Chinese style. Economics of Transition, 7(1):103-131. doi: 10.1111/1468-0351.00006
    [8] Capello R, 1999. SME clustering and factor productivity:a milieu production function model. European Planning Studies, 7(6):719-735. doi: 10.1080/09654319908720550
    [9] Caragliu A, Nijkamp P, 2016. Space and knowledge spillovers in European regions:the impact of different forms of proximity on spatial knowledge diffusion. Journal of Economic Geography, 16(3):749-774. doi: 10.1093/jeg/lbv042
    [10] Cheng J, Bennett D, 2007. Success strategies in the Chinese chemical industry:a survey and case study investigations. Journal of Chinese Economic & Business Studies, 5(2):91-112. doi: 10.1080/14765280701362232
    [11] Chesbrough H, Vanhaverbeke W, West J, 2006. Open Innovation:Researching a New Paradigm. Oxford:Oxford UniversityPress.
    [12] Chesbrough H, Brunswicker S, 2013. Managing Open Innovation in Large Firms. Survey Report.
    [13] Chesbrough H, 2017. The future of open innovation:IRI medal address. Research-Technology Management, 60(6):29-35. doi: 10.1080/08956308.2017.1373048
    [14] China Machinery Industry Yearbook Editorial Committee, China Petroleum and Chemical Industry Association, 2015. China Petroleum & Petrochemical Equipment Industry Yearbook 2014. Beijing:China Machine Press.
    [15] Coombs R, Harvey M, Tether B S, 2003. Analysing distributed processes of provision and innovation. Industrial & Corporate Change, 12(6):1125-1155. doi: 10.1093/icc/12.6.1125
    [16] Cooper J D, 1972. The sources of innovation. Psychopharmacology Bulletin, 8(2):50-58.
    [17] Dicken P, 2004. Geographers and ‘globalization’:(yet) another missed boat? Transactions of the Institute of British Geographers, 29(1):5-26. doi: 10.1111/j.0020-2754.2004.00111.x
    [18] Du J S, Leten B, Vanhaverbeke W, 2014. Managing open innovation projects with science-based and market-based partners. Research Policy, 43(5):828-840. doi: 10.1016/j.respol.2013.12.008
    [19] Feldman M P, 1994. The Geography of Innovation. Dordrecht:Springer. doi: 10.1007/978-94-017-3333-5
    [20] Feldman M P, Audretsch D B, 1999. Innovation in cities:science-based diversity, specialization and localized competition. European Economic Review, 43(2):409-429. doi: 10.1016/S0014-2921(98)00047-6
    [21] Granovetter M S, 1973. The strength of weak ties. American Journal of Sociology, 78(6):1360-1380. doi: 10.1086/225469
    [22] Hall P, 2000. Creative cities and economic development. Urban Studies, 37(4):639-649. doi: 10.1080/00420980050003946
    [23] Huston L, Sakkab N, 2006. Connect and develop:inside Procter & Gamble's new model for innovation. Harvard Business Review, 84(3):58-66. Retrieved from:https://hbr.org/2006/03/connect-and-develop-inside-procter-gambles-new-model-for-innovation
    [24] Jaffe A B, Trajtenberg M, Henderson R, 1993. Geographic localization of knowledge spillovers as evidenced by patent citations. The Quarterly Journal of Economics, 108(3):577-598. doi: 10.2307/2118401
    [25] Jiang Y G, Chun W D, Yang Y, 2018. The effects of external relations network on low-carbon technology innovation:based on the study of knowledge absorptive capacity. Sustainability, 10(2):155. doi: 10.3390/su10010155
    [26] Kleinknecht A, Poot T P, 1992. Do regions matter for R&D? Regional Studies, 26(3):221-232. doi:10.1080/003434092 12331346921
    [27] Kline S J, Rosenberg N, 1986. An overview of innovation. In:Landau R, Rosenberg N (eds). The Positive Sum Strategy. Washington, DC:National Academy of Sciences, 275-306.
    [28] Liefner I, Hennemann S, Xin L, 2006. Cooperation in the innovation process in developing countries:empirical evidence from Zhongguancun, Beijing. Environment & Planning A:Economy and Space, 38(1):111-130. doi: 10.1068/a37343
    [29] Liefner I, Brömer C, Zeng G, 2012. Knowledge absorption of optical technology companies in Shanghai, Pudong:successes, barriers and structural impediments. Applied Geography, 32(1):171-184. doi: 10.1016/j.apgeog.2011.01.012
    [30] Lin Lan, 2016. Innovation dynamics and spatial response of heavy-chemical industry:rethinking the cluster innovation. Acta Geographica Sinica, 71(8):1400-1415. (in Chinese)
    [31] Lorenzen M, Mudambi R, 2013. Clusters, connectivity and catch-up:Bollywood and Bangalore in the global economy. Journal of Economic Geography, 13(3):501-534. doi: 10.1093/jeg/lbs017
    [32] Lundvall B, Johnson B, 1994. The learning economy. Journal of Industry Studies, 1(2):23-42. doi:10.1080/1366271940000 0002
    [33] Lyu G Q, 2016. The Structure of Innovation Networks of China' Equipment Manufacturing Industry. Shanghai:East China Normal University, 2-15. (in Chinese)
    [34] Malecki E J, 1979. Agglomeration and intra-firm linkage in R&D location in the United States. Tijdschrift voor Economische en Sociale Geografie, 70(6):322-331. doi: 10.1111/j.1467-9663.1979.tb01895.x
    [35] Malmberg A, Maskell P, 2002. The elusive concept of localization economies:towards a knowledge-based theory of spatial clustering. Environment & Planning A:Economy and Space, 34(3):429-449. doi: 10.1068/a3457
    [36] Martin R, Moodysson J, 2013. Comparing knowledge bases:on the geography and organization of knowledge sourcing in the regional innovation system of Scania, Sweden. European Urban & Regional Studies, 20(2):170-187. doi:10.1177/096977 6411427326
    [37] Miguelez E, Moreno R, 2018. Relatedness, external linkages and regional innovation in Europe. Regional Studies, 52(5):688-701. doi: 10.1080/00343404.2017.1360478
    [38] Paci R, Usai S, 1999. Externalities, knowledge spillovers and the spatial distribution of innovation. GeoJournal, 49(4):381-390. doi: 10.1023/A:1007192313098
    [39] Perri A, 2015. Innovation and the Multinational Firm:Perspectives on Foreign Subsidiaries and Host Locations. London:Palgrave Pivot.
    [40] Powell W W, White D R, Koput K W et al., 2005. Network dynamics and field evolution:the growth of interorganizational collaboration in the life sciences. American Journal of Sociology, 110(4):1132-1205. doi: 10.1086/421508
    [41] Rutten R, 2003. Knowledge and Innovation in Regional Industry-An Entrepreneurial Coalition. London:Routledge. doi: 10.4324/9780203987803
    [42] Scherngell T, Hu Y J, 2011. Collaborative knowledge production in China:regional evidence from a gravity model approach. Regional Studies, 45(6):755-772. doi:10.1080/00343401003 713373
    [43] Schuldt N, Bathelt H, 2011. International trade fairs and global buzz. Part II:practices of global buzz. European Planning Studies, 19:1-22. doi: 10.1080/09654313.2011.530390
    [44] Scott A, 2002. A new map of Hollywood:the production and distribution of American motion pictures. Regional Studies, 36(9):957-975. doi: 10.1080/0034340022000022215
    [45] Segelod E, Jordan G, 2004. The use and importance of external sources of knowledge in the software development process. R&D Management, 34(3):239-252. doi: 10.1111/j.1467-9310.2004.00336.x
    [46] Si Yuefang, Zeng Gang, Cao Xianzhong et al., 2016. Research progress of glocal innovation networks. Progress in Geography, 35(5):600-609. (in Chinese)
    [47] Sternberg R, 2000. Innovation networks and regional development. Evidence from the European Regional Innovation survey (ERIS):theoretical concepts, methodological approach, empirical basis and introduction to the theme issue. European Planning Studies, 8(4):389-407. doi: 10.1080/713666420
    [48] Teirlinck P, Spithoven A, 2008. The spatial organization of innovation:open innovation, external knowledge relations and urban structure. Regional Studies, 42(5):689-704. doi: 10.1080/00343400701543694
    [49] Trippl M, Tödtling F, Lengauer L, 2009. Knowledge sourcing beyond buzz and pipelines:evidence from the Vienna software sector. Economic Geography, 85(4):443-462. doi: 10.1111/j.1944-8287.2009.01047.x
    [50] Tsang D, 2005. Growth of indigenous entrepreneurial software firms in cities. Technovation, 25(11):1331-1336. doi: 10.1016/j.technovation.2004.03.011
    [51] Veugelers R, Cassiman B, 1999. Make and buy in innovation strategies:evidence from Belgian manufacturing firms. Research Policy, 28(1):63-80. doi:10.1016/S0048-7333(98) 00106-1
    [52] Wang C C, Lin G C S, 2013. Dynamics of innovation in a globalizing China:regional environment, inter-firm relations and firm attributes. Journal of Economic Geography, 13(3):397-418. doi: 10.1093/jeg/lbs019
    [53] Wang Qiuyu, Lyu Guoqing, Zeng Gang, 2015. Spatial analysis of innovation network about the endogenous industrial cluster:an empirical analysis on Dongying. Economic Geography, 35(6):102-108. (in Chinese)
    [54] Wei Y H D, Liefner I, Miao C H, 2011. Network configurations and R&D activities of the ICT industry in Suzhou municipality, China. Geoforum, 42(4):484-495. doi: 10.1016/j.geoforum.2011.03.005
    [55] Wen Hu, Yang Youren, Hou Junjun, 2007. Study of embeddedness and FDI-driven industrial cluster-Case of Pudong IC industrial cluster. Economic Geography, 27(5):741-746. (in Chinese)
    [56] Weterings A B R, Boschma R, 2006. The impact of geography on the innovative productivity of software firms in the Netherlands. In:Cooke P, Piccaluga A (eds.). Regional Development in the Knowledge Economy. London and New York:Routledge, 63-83.
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article Metrics

Article views(40) PDF downloads(40) Cited by()

Proportional views
Related

Spatial Organization of Innovation in the Oil Equipment Manufacturing Industry: Case of Dongying, China

doi: 10.1007/s11769-019-1092-5
Funds:

Under the auspices of National Natural Science Foundation of China (No. 41901158), China Postdoctoral Science Foundation (No. 2019M651428), Humanities and Social Sciences Research Planning Fund from Ministry of Education of China (No. 19YJC790138), The Soft Science Research Program of Shanghai Science and Technology development Commission (No. 19692102400)

Abstract: 

As innovation and technological change have become increasingly important for the competitiveness and sustainable growth of firms, cooperative innovation is now crucial for traditional industries in the context of globalization. This paper proposes a framework for analyzing the spatial pattern of cooperative innovation for traditional industries in developing countries. Based on in-depth interviews with 35 firms in the oil equipment manufacturing industry in Dongying City, China, this study argues that different firms in the innovation pyramid have various innovation activity preferences and spatial patterns. Firms with high innovation abilities tend to cooperate with various partners that are geographically dispersed and continuously expanding, while firms with inferior abilities usually cooperate with nearby fixed partners. Due to the differences in innovation environment and actor locations, firms tend to make different choices regarding innovation types and models, which highlight the importance of personnel training and basic scientific research at the global scale and practical product research and development at the national scale. Additionally, talent flow is the most important way to realize relationships for firm innovation activity.

WANG Qiuyu, ZENG Gang. Spatial Organization of Innovation in the Oil Equipment Manufacturing Industry: Case of Dongying, China[J]. Chinese Geographical Science, 2020, 30(2): 324-339. doi: 10.1007/s11769-019-1092-5
Citation: WANG Qiuyu, ZENG Gang. Spatial Organization of Innovation in the Oil Equipment Manufacturing Industry: Case of Dongying, China[J]. Chinese Geographical Science, 2020, 30(2): 324-339. doi: 10.1007/s11769-019-1092-5
Reference (56)

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return