Chinese Geographical Science

, Volume 28, Issue 1, pp 111–126 | Cite as

Chinese Marine Economy Development: Dynamic Evolution and Spatial Difference

  • Caizhi Sun
  • Xin Li
  • Wei Zou
  • Song Wang
  • Zeyu Wang


This study focuses on China’s coastal area and its marine economic development. Applying the information diffusion method, the study establishes a kernel density function and its decomposition using a marine economic per capita as the index of the model to depict the dynamic evolution law and the internal influential factors of the Chinese marine economy during 1996–2013. The relative development rate was introduced to analyze the spatial differences in the marine economy’s development. In this way, space and time dimensions fully characterized the evolution of the Chinese marine economy. Additionally, the influence of growth and inequality in the process of its development can be analyzed. The study shows that the Chinese marine economy as a whole has been growing, and regional marine economic development is relatively coordinated. In addition, the marine economy began to develop even more rapidly after 2004. There are three factors affecting the dynamic evolution of China’s marine economy: first, the most influential mean effect, followed by, second, the variance effect, and third, the least influential residual effect. The biggest influence on the dynamic evolution of the marine economy is the improvement of the development level of the marine economy in the coastal area. Meanwhile, due to the existence of inequality, provinces at higher development levels are more dispersed. Furthermore, the existence of the residual effect weakens the influence of the mean effect, and the influence on the dynamic evolution of the marine economy continuously increases. In the analysis of the influencing factors of the evolution and spatial difference of marine economic development, the level of opening to the outside world, the level of investment in fixed assets and the industrial structure have a positive role in promoting economic development. However, capital investment in scientific human research has a negative correlation with economic development, and does not pass the significant test. The difference in regional development levels and development speed is also very apparent; namely, the provinces with higher development levels generally displayed faster development speeds while those with lower development levels showed slower development speeds across the four periods analyzed.


information diffusion kernel density function decomposition marine economic output per capita coastal area 


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  1. An Kang, Han Zhaozhou, Shu Xiaohui, 2012. Dynamic distribution analysis of province economic coordination development in China. Inquiry Into Economic Issues, (1): 20–25. (in Chinese)Google Scholar
  2. Böhnke-Henrichs A, Baulcomb C, Koss R et al., 2013. Typology and indicators of ecosystem services for marine spatial planning and management. Journal of Environmental Management, 130: 135–145. doi: 10.1016/j.jenvman.2013.08.027CrossRefGoogle Scholar
  3. Burkhauser R V, Rovba L, 2005. Income inequality in the 1990s: comparing the United States, Great Britain and Germany. The Japanese Journal of Social Security Policy, 4(1): 1–16.Google Scholar
  4. Cheng Chao, Tong Shaoyu, Peng Haiying et al., 2016. Ecological carrying capacity of water resources in the central Yunnan urban agglomeration area. Resources Science, 38(8): 1561–1571. (in Chinese)Google Scholar
  5. Clarke A C, 2006. Towards a future maritime policy for the Union: a European vision for the oceans and seas. Brussels: European Commission.Google Scholar
  6. Colgan C S, 2013. The ocean economy of the United States: measurement, distribution, & trends. Ocean & Coastal Management, 71: 334–343. doi: 10.1016/j.ocecoaman.2012.08.018CrossRefGoogle Scholar
  7. Cowell, F A, Jenkins S P, Litchfield J A, 1996. The changing shape of the UK income distribution: kernel density estimates. In: Hills J R. New Inequalities: the Changing Distribution of Income and Wealth in the United Kingdom. Cambridge: Cambridge University Press.Google Scholar
  8. Dalton H, 1920. The measurement of the inequality of incomes. The Economic Journal, 30(119): 348–361. doi: 10.2307/ 2223525CrossRefGoogle Scholar
  9. Di Qianbin, Han Zenglin, Liu Guichun et al., 2007. Carrying capacity of marine region in Liaoning Province. Chinese Geographical Science, 17(3): 229–235. doi: 10.1007/s11769-007-0229-0CrossRefGoogle Scholar
  10. Di Qianbin, Liu Xinxin, Cao Ke, 2013. Spatial and temportal disparities of marine economic development and dynamic changes in China. Scientia Geographica Sinica, 33(12): 1413–1420. (in Chinese)Google Scholar
  11. Fernández-Macho J, González P, Virto J, 2016. An index to assess maritime importance in the European Atlantic economy. Marine Policy, 64: 72–81. doi: 10.1016/j.marpol.2015.11.011CrossRefGoogle Scholar
  12. Foley N S, Corless R, Escapa M et al., 2014. Developing a comparative marine socio-economic framework for the European Atlantic area. Journal of Ocean and Coastal Economics, 2014(1): 3.Google Scholar
  13. Fujita M, Hu D P, 2001. Regional disparity in China 1985-1994: the effects of globalization and economic liberalization. The Annals of Regional Science, 35(1): 3–37. doi: 10.1007/s00168 0000020CrossRefGoogle Scholar
  14. Gao Yuan, Han Zenglin, Yang Jun et al., 2015. Spatial Agglomeration of Marine Industries and Region Coordinated Development in China. Scientia Geographica Sinica, 35(8): 946–951. (in Chinese)Google Scholar
  15. Halpern B S, Longo C, Hardy D et al., 2012. An index to assess the health and benefits of the global ocean. Nature, 488(7413): 615–620. doi: 10.1038/nature11397CrossRefGoogle Scholar
  16. Han Zenglin, Xu Xu, 2008. Analysis on regional disparities of mairine economy and evolvement course in China. Geographical Research, 27(3): 613–622. (in Chinese)Google Scholar
  17. He Guangshun, Ding Lili, Song Weiling, 2014. Theory, Method and Practice of Marine Economic Analysis and Evaluation. Beijing: Ocean Press, 135–140. (in Chinese)Google Scholar
  18. Huang Chongfu, 2005. Risk Assessment of Natural Disaster: Theory & Practice. Beijing: Science Press, 80–98. (in Chinese)Google Scholar
  19. Huang Chongfu, 2012. Risk Analysis and Management of Natural Disasters. Beijing: Science Press. (in Chinese)Google Scholar
  20. Jenkins S P, van Kerm P, 2005. Accounting for income distribution trends: a density function decomposition approach. The Journal of Economic Inequality, 3(1): 43–61. doi: 10.1007/s 10888-004-8309-1CrossRefGoogle Scholar
  21. Jiang X Z, Liu T Y, Su C W, 2014. China’s marine economy and regional development. Marine Policy, 50: 227–237. doi: 10. 1016/j.marpol.2014.06.008CrossRefGoogle Scholar
  22. Kanbur R, Zhang X B, 1999. Which regional inequality? The evolution of rural-urban and inland–coastal inequality in China from 1983 to 1995. Journal of Comparative Economics, 27(4): 686–701. doi: 10.1006/jcec.1999.1612CrossRefGoogle Scholar
  23. Kildow J T, McIlgorm A, 2010. The importance of estimating the contribution of the oceans to national economies. Marine Policy, 34(3): 367–374. doi: 10.1016/j.marpol.2009.08.006CrossRefGoogle Scholar
  24. Kumar S, Russell R R, 2002. Technological change, technological catch-up, and capital deepening: relative contributions to growth and convergence. The American Economic Review, 92(3): 527–548.CrossRefGoogle Scholar
  25. Lin Cunzhuang, Han Limin, 2014. Research about the disparities of the development of marine economy about coastal provinces in China. Chinese Fisheries Economics, 32(4): 67–73. (in Chinese)Google Scholar
  26. Liu Jing, Zhang Chewei, Mao Xuefeng, 2009. The dynamic changes of the income distribution in China from 1991 to 2006: a decomposition analysis based on kernel density function. World Economy, (10): 3–13. (in Chinese)Google Scholar
  27. Liu R Z, 2012. Regional Oceanography of China Seas-Marine Economic. Beijing: Ocean Press, 3–8. (in Chinese)Google Scholar
  28. Luan Weixin, 2004. “Bottleneck” and countermeasure of hightechnologization of marine industry in China. Chinese Geographical Science, 14(1): 15–20. doi: 10.1007/s11769-004-0003-5CrossRefGoogle Scholar
  29. Massaro F, D'Abrusco R, Paggi A, et al, 2013. Unveiling the nature of the unidentified gamma-ray sources. V. Analysis of the radio candidates with the kernel density estimation. The Astrophysical Journal Supplement Series, 209(1): 10. doi: 10. 1088/0067-0049/209/1/10Google Scholar
  30. Morrissey K, 2014. Using secondary data to examine economic trends in a subset of sectors in the English marine economy: 2003-2011. Marine Policy, 50: 135–141. doi: 10.1016/j.marpol. 2014.05.018CrossRefGoogle Scholar
  31. Morrissey K, O’Donoghue C, Hynes S, 2011. Quantifying the value of multi-sectoral marine commercial activity in Ireland. Marine Policy, 35(5): 721–727. doi: 10.1016/j.marpol.2011. 02.013CrossRefGoogle Scholar
  32. Morrissey K, O’Donoghue C, 2012. The Irish marine economy and regional development. Marine Policy, 36(2): 358–364. doi: 10.1016/j.marpol.2011.06.011CrossRefGoogle Scholar
  33. National Bureau of Statistics of China, 1996-2014. China Statistical Yearbook. Beijing: China Statistics Press. (in Chinese)Google Scholar
  34. Ouyang Nanjiang, 1993. Economic restructuring and regional disparities in Guangdong province. Acta Geographica Sinica, 48(3): 204–217. (in Chinese)Google Scholar
  35. Park K S, Kildow J T, 2014. The estimation of the ocean economy and coastal economy in south Korea. Monterey, USA: Center for the Blue Economy in Monterey Institute of International Studies.Google Scholar
  36. Parzen E, 1962. On estimation of a probability density function and mode. The Annals of Mathematical Statistics, 33(3): 1065–1076. doi: 10.1214/aoms/1177704472CrossRefGoogle Scholar
  37. Poluektov A, 2015. Kernel density estimation of a multidimensional efficiency profile. Journal of Instrumentation, 10(2): P02011. doi: 10.1088/1748-0221/10/02/P02011Google Scholar
  38. Rosenblatt M, 1956. Remarks on some nonparametric estimates of a density function. The Annals of Mathematical Statistics, 27(3): 832–837. doi: 10.1214/aoms/1177728190CrossRefGoogle Scholar
  39. Rozelle S, Boisvert R N, 1995. Control in a dynamic village economy: the reforms and unbalanced development in China's rural economy. Journal of Development Economics, 46(2): 233–252. doi: 10.1016/0304-3878(94)00060-PCrossRefGoogle Scholar
  40. Song W L, He G S, McIlgorm A, 2013. From behind the Great Wall: the development of statistics on the marine economy in China. Marine Policy, 39: 120–127. doi: 10.1016/j.marpol.2012.09.006CrossRefGoogle Scholar
  41. State Oceanic Administration People’s Republic of China, 1996-2014. China Marine Statistical Yearbook. Beijing: China Ocean Press. (in Chinese)Google Scholar
  42. Stojanovic T A, Farmer C J Q, 2013. The development of world oceans & coasts and concepts of sustainability. Marine Policy, 42: 157–165. doi: 10.1016/j.marpol.2013.02.005CrossRefGoogle Scholar
  43. Su Weihua, Wang Long, Li Wei, 2013. The factor research of total factor productivity of marine economy in China-based on spatial panel data model. Collected Essays on Finance and Economics, (3): 9–13. (in Chinese)Google Scholar
  44. Sun Caizhi, Yu Guanghua, Wang Zeyu et al., 2014. Marine carrying capacity assessment and spatio-temporal analysis in the Bohai Sea Ring Area, China. Scientia Geographica Sinica, 34(5): 513–521. (in Chinese)Google Scholar
  45. Sun Caizhi, Li Xin, 2015. Dynamic evolution analysis of China’s marine economy development based on kernel density estimation. Economic Geography, 35(1): 96–103. (in Chinese)Google Scholar
  46. Sun Caizhi, Zhang Kunling, Zou Wei et al., 2015. Assessment and evolution of the sustainable development ability of human-ocean systems in coastal regions of China. Sustainability, 7(8): 10399–10427. doi: 10.3390/su70810399CrossRefGoogle Scholar
  47. Sun Jiting, Zhao Yujie, 2011. The mechanism of land-sea coordination in the development of China's marine economy. Social Sciences in Guangdong, (5): 41–47. (in Chinese)Google Scholar
  48. Surís-Regueiro J C, Garza-Gil M D, Varela-Lafuente M M, 2013. Marine economy: a proposal for its definition in the European Union. Marine Policy, 42: 111–124. doi: 10.1016/j.marpol. 2013.02.010CrossRefGoogle Scholar
  49. Vivero J L S D, Mateos J C R, 2012. The Spanish approach to marine spatial planning. Marine Strategy Framework Directive vs. EU integrated maritime policy. Marine Policy, 36(1): 18–27. doi: 10.1016/j.marpol.2011.03.002CrossRefGoogle Scholar
  50. Wang Shuang, 2012. Analysis of China’s marine economic regional characteristics and development countermeasures for these regions. Economic Geography, 32(6): 80–84. (in Chinese)Google Scholar
  51. Wu Kang, Wei Yuchun, 2008. The measure and analysis of regional development equilibrium of Jiangsu province since 1990s. Progress in Geography, 27(1): 64–74. doi: 10.11820/ dlkxjz.2008.01.009 (in Chinese)Google Scholar
  52. Ye Xiangdong, Ye Dongna, Chen Sizeng, 2013. Strategic Planning and Practice of Modern Ocean. Beijing: Publishing House of Electronics Industry, 25–83. (in Chinese)Google Scholar
  53. Zhang Lijuan, Li Wenliang, Zhang Dongyou, 2009. Meteorological disaster risk assessment method based on information diffusion theory. Scientia Geographica Sinica, 29(2): 250–254. (in Chinese)Google Scholar
  54. Zhang Yaoguang, 2000. A preliminary approach to the regionalization of the marine comprehensive economic region in Liaoning Province. Chinese Geographical Science, 10(4): 356–365. doi: 10.1007/s11769-000-0051-4CrossRefGoogle Scholar
  55. Zhang Yaoguang, Dong Lijing, Li Chunping, 2002. Approach to the regionalization of agricultural-pasturalization around changshan islands in northern yellow sea. Chinese Geographical Science, 12(3): 218–225. doi: 10.1007/s11769-002-0005-0CrossRefGoogle Scholar
  56. Zhang Yaoguang, Dong Lijing, Yang Jun et al., 2004. Sustainable development of marine economy in China. Chinese Geographical Science, 14(4): 308–313. doi: 10.1007/s11769-004-0033-zCrossRefGoogle Scholar
  57. Zhang Yaoguang, Han Zenglin, Liu Kai et al., 2010. Analysis of regional differences of marine economy and use structure of coastal zone: a case study of Liaoning Province. Geographical Research, 29(1): 24–34. (in Chinese)Google Scholar
  58. Zhang Yaoguang, Liu Kai, Liu Guichun et al., 2011. Quantitative analysis of the spatial and temporal differences between the regional systems of marine economy in Liaoning province. Resources Science, 33(5) 863–870. (in Chinese)Google Scholar
  59. Zhang Yaoguang, Wang Guoli, Liu Kai et al., 2015. A study on the characteristics of regional differentiation in China’s marine economy and demarcation of marine economic areas. Economic Geography, 35(9): 87–95.Google Scholar
  60. Zhao Lin, Zhang Yushuo, Jiao Xinying et al., 2016. An evaluation of Chinese marine economy efficiency based on SBM and Malmquist productivity indexes. Resources Science, 38(3): 461–475. (in Chinese)Google Scholar
  61. Zhao R, Hynes S, He G S, 2014. Defining and quantifying China’s ocean economy. Marine Policy, 43: 164–173. doi: 10. 1016/j.marpol.2013.05.008CrossRefGoogle Scholar
  62. Zheng Guibin, 2012. The construction of blue economic zone and the planning for the coordinated development of land and ocean. Marine Economy, 2(6): 31–34. (in Chinese)Google Scholar
  63. Zheng Y, 2015. The static and dynamic evaluation on ocean environment performance for Chinese coastal cities. Journal of Coastal Research, 73: 660–664. doi: 10.2112/SI73-114.1CrossRefGoogle Scholar

Copyright information

© Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Caizhi Sun
    • 1
  • Xin Li
    • 1
  • Wei Zou
    • 1
    • 2
  • Song Wang
    • 1
  • Zeyu Wang
    • 1
  1. 1.Center for Studies of Marine Economy and Sustainable DevelopmentLiaoning Normal UniversityDalianChina
  2. 2.School of Foreign LanguagesLiaoning Normal UniversityDalianChina

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