Resources Science ›› 2019, Vol. 41 ›› Issue (2): 301-312.doi: 10.18402/resci.2019.02.09

• Orginal Article • Previous Articles     Next Articles

Factor decomposition and spatio-temporal difference analysis in marine resource consumption intensity in China

Zeyu WANG(), Jing XU, Yanxi WANG   

  1. Center for Studies of Marine Economy and Sustainable Development of Liaoning Normal University, Dalian 116029, China
  • Received:2018-09-12 Revised:2018-11-17 Online:2019-02-25 Published:2019-02-25

Abstract:

Based on the connotation of marine resources consumption intensity, this study evaluated the marine resources consumption intensity in China’s coastal provinces from 1996 to 2015, revealing its temporal and spatial evolution characteristics. It implemented an improved LMDI to establish a factor decomposition model to analyze the contribution of factors in the change of marine resources consumption intensity and compare the differences. The results showed the following: (1) From 1996 to 2015, the intensity of China’s marine resources consumption demonstrated an overall increasing trend, followed by a gradual decline. For the primary industry, resources consumption intensity exhibited a stable decline, while its fluctuations for the secondary and tertiary industries followed those of China’s marine resources consumption intensity. Regarding the spatial evolutions. Moderately high-intensity provinces gradually declined in number, while low-intensity provinces gradually increased. Further, the variation between regions gradually declined. (2) The technological progress, industrial structure, and regional scale effects had contributed to 78.224%, 18.334%, and 3.442% of the total decline in marine resources consumption intensity. The factor decompostion effects varied significantly across provinces. The technological progress effect influenced marine resources consumption intensity in Fujian, while the technological progress and regional scale effects effected Zhejiang, Shandong, and Hainan. The technological progress and industrial structure effects influenced Tianjin, Hebei, and Jiangsu, while the technological progress, industrial structure, and regional scale effects drove decreasing marine resources consumption intensity in Liaoning, Shanghai, Guangdong, and Guangxi. (3) Among the three marine industries, the secondary industry illustrated the largest contribution with the technological progress effect, accounting for 77.118%; the primary industry did show the largest contribution with the industrial structure effect, accounting for 314.547%. The regional scale effect was not significant within the three industries. Technologies and the measures aim at promoting the intensive use of marine resources should be regionally targeted and differentiated according to each province.

Key words: marine resources, consumption intensity, factor decomposition, LMDI model, technological progress effect, industrial structure effect, regional scale effect, spatio-temporal difference, China