Marine industrial cluster structure and its coupling relationship with urban development: a case of Shandong province

• Autorzy: Xiao W. , Zhao B. , Wang L.
• Języki publikacji: EN

Abstrakty

EN

Marine economy is a new economic form, emphasizing new development concept, new operation mechanism and management mode. In recent years, marine economy shows rapid growth, and marine industry presents a clustering development trend. The industrial linkage effect, industrial agglomeration effect and industrial radiation effect of the marine industrial cluster are important motive forces for the development of coastal cities. The marine industrial cluster takes coastal cities as the development platform and space, while the coastal cities achieve rapid and sustainable development based on the marine industrial cluster. The synergetic and coupling development of the marine industrial cluster and coastal cities is an important way for the promotion of industrial competitiveness and urban competitiveness. This paper developed a measure to identify the marine industrial cluster, designed the evaluation index of coupling of marine industrial cluster and coastal cities development from two perspectives of industrial linkage and spatial agglomeration, taking Shandong province, a typical coastal province in China, as an example, it studied the situation of the marine industrial cluster based on input-output data and data of marine enterprises of coastal cities, based on which it explored the coupling relationship between marine industrial cluster and coastal cities of Shandong province

• Wydawca: -
• Czasopismo: Polish Maritime Research
• Rocznik: 2016
• Tom: 23
• Numer: Special Issue S1
• Opis fizyczny: p.115-122,fig.,ref.

Twórcy

autor

Xiao W.

• School of Management, Shandong University, Jinan, Shandong, 250100, China

autor

Zhao B.

• School of Management, Shandong University, Jinan, Shandong, 250100, China

autor

Wang L.

• School of Management, Shandong University, Jinan, Shandong, 250100, China

Bibliografia

• 1. Zhao Bingxin, Xiao Wenwen, Tong Ren-Cheng, et al.. Research on the Connotation of Blue Economy and Its Linkage Structure Effect from the Perspective of Industrial Network——A Case of Shandong Province [J]. China Soft Science, 2015, 08: 135-147.
• 2. Wang Lili, Xiao Wenwen. Industry Linkage of Marine Industry and Marine-Land Industry Linkage DevelopmentBased on Input-Output Model [J]. Economic Geography, 2016, 01: 113-119.
• 3. Fernández-Macho J, Murillas A, Ansuategi A, et al. Measuring the maritime economy: Spain in the European Atlantic Arc[J]. Marine Policy, 2015, 60: 49-61.
• 4. Surís-Regueiro J C, Garza-Gil M D, Varela-Lafuente M M. Marine economy: A proposal for its definition in the European Union[J]. Marine Policy, 2013, 42: 111-124.
• 5. Salvador R. Maritime Clusters Evolution. The (not so) Strange Case of the Portuguese Maritime Cluster[J]. Journal of Maritime Research, 2014, 11(1): 53-59.
• 6. Morrissey K, O’Donoghue C. The potential for an Irish maritime transportation cluster: An input–output analysis [J]. Ocean & coastal management, 2013, 71: 305-313.
• 7. Simões A, Soares C G, Salvador R. Multipliers, linkages and influence fields among the sectors of the Portuguese maritime cluster[J]. Maritime Technology and Engineering, 2014: 155.
• 8. Hammervoll T, Halse L L, Engelseth P. The role of clusters in global maritime value networks[J]. International Journal of Physical Distribution & Logistics Management, 2014, 44(1/2): 98-112.
• 9. Porter M．On Competition[M]．Harvard Business School Press, Boston, MA.,1998．
• 10. Roelandt T J A, Den Hertog P. Cluster analysis and clusterbased policy making in OECD countries: an introduction to the theme [J]. Boosting innovation: The cluster approach, 1999: 9-23.
• 11. Zhao B X, Du P L, Xiao W.W., et al. Industrial cluster core structure and its index system[J].System EngineeringTheory & Practice, 2016, 36(1): 55-62
• 12. Titze M, Brachert M, Kubis A. The identification of regional industrial clusters using qualitative input–output analysis (QIOA) [J]. Regional Studies, 2011, 45(1): 89-102.
• 13.  Zhou Hong. The Modern Chinese Dictionary [K]. Beijing: Guangming Daily Press, 2003.820～821.
• 14. Chen Yanyun, Qin Chuan. Interaction of Industrial Agglomeration and Economic Growth: Analysis of 14 City Groups [J]. Reform, 2012, 10: 38-43.
• 15. Shen Yufang, Liu Shuhua, Zhang Jing, Wang Nengzhou. The Correspondence among Industrial Cluster, City Group and Port Group on the Yangze Delata Area [J]. Economic Geography, 2010,05:778-783.
• 16. Sheng Yanchao, Zhong Zhiping. Study on the Coupling Coordinative Degree between Tourism Industry and Regional Economy——A Case of Hunan Province [J]. Tourism Tribune, 2009,08:23-29.
• 17. Gao Nan, Ma Yaofeng, Zhang Chunhui. Space- time Coupling Differentiation of Tourism Industry of Chinese Silk Road Economic Belt and Regional Economy—— Based on Panel Data of 9 Provinces in 1993-2012 [J]. Economic Management, 2015,09:111-120.
• 18. Chang Y C. Maritime clusters: What can be learnt from the South West of England[J]. Ocean & Coastal Management, 2011, 54(6): 488-494.
• 19. Morrissey K, O’Donoghue C. The Irish marine economy and regional development[J]. Marine Policy, 2012, 36(2): 358-364.
• 20. Shinohara M. Maritime cluster of Japan: implications for the cluster formation policies[J]. Marit. Pol. Mgmt., 2010, 37(4): 377-399.
• 21. Ji Yujun, Liu LinJing. Analysis of the Linkage Relationship Between the Marine Industrial Cluster and the Coastal Regional Economic Development [J]. Marine Economy, 2013,03:1-7.
• 22. Doloreux D. Understanding regional innovation in the maritime industry: an empirical analysis[J]. International Journal of Innovation and Technology Management, 2006, 3(02): 189-207.
• 23. da Silva Monteiro J P V, Neto P A, Noronha M T. Understanding the ways and the dynamics of collaborative innovation processes: the case of the maritime cluster of the Algarve region (Portugal)[J]. Urban, Planning and Transport Research, 2014, 2(1): 247-264.
• 24. Wiese A, Brandt A, Thierstein A, et al. Revealing Relevant Proximities. Knowledge Networks in the Maritime Economy in a Spatial, Functional and Relational Perspective[J]. Raumforschung und Raumordnung, 2014, 72(4): 275-291.
• 25. Haezendonck E, Pison G, Rousseeuw P, et al. The competitive advantage of seaports[J]. International Journal of Maritime Economics, 2000, 2(2): 69-82.
• 26. Lee C B, Wan J, Shi W, et al. A cross-country study of competitiveness of the shipping industry[J]. Transport Policy, 2014, 35: 366-376.
• 27. Benito G R G, Berger E, De la Forest M, et al. A cluster analysis of the maritime sector in Norway[J]. International Journal of Transport Management, 2003, 1(4): 203-215.
• 28. Duranton G, Overman H G. Testing for localization using micro-geographic data[J]. The Review of Economic Studies, 2005, 72(4): 1077-1106.
• 29. Zhao Bingxin, Zhang Jianghua. Introduction to industry network theory [M].  Beijing: Economic Science Press, 2013
• 30. Zhao Bingxin, Yin Chong, Zhang Jianghua. A study on industry complex network and its modeling — On the example of. [J]. Economic Management, 2011, 7: 139-148.
• 31. TORRE A. and RALLET A. Proximity and localization, Regional Studies2005, 39, 47–59.
• 32. OERLEMANS L. and MEEUS M. Do organizational and spatial proximity impact on firm performance?, Regional Studies 2005, 39, 89-104.
• 33. Haggett P, Cliff A.D., Locational Models [M].Londan: Edward Amold Ltd, 1977.

Identyfikatory

DOI

10.1515/pomr-2016-0055