资源科学 ›› 2019, Vol. 41 ›› Issue (2): 301-312.doi: 10.18402/resci.2019.02.09

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中国海洋资源消耗强度因素分解与时空差异分析

王泽宇(), 徐静, 王焱熙   

  1. 辽宁师范大学海洋经济与可持续发展研究中心,大连 116029
  • 收稿日期:2018-09-12 修回日期:2018-11-17 出版日期:2019-02-25 发布日期:2019-02-25
  • 作者简介:

    作者简介: 王泽宇,女,辽宁铁岭人,博士,副教授,主要从事海洋经济地理研究。E-mail: wangzeyu2008@163.com

  • 基金资助:
    国家自然科学基金项目(41671119);辽宁省社科规划基金项目(L18BJL005)

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

摘要:

基于海洋资源消耗强度内涵,测度中国沿海省区1996—2015年海洋资源消耗强度,揭示其时空演化特征,运用改进的对数均值迪式指数分解法(LMDI)建立因素分解模型,分析中国海洋资源消耗强度变动的因素贡献并进行差异比较。结果表明:①1996—2015年,中国海洋资源消耗强度总体呈先上升后稳步下降的态势,第一产业资源消耗强度平稳下降,第二、三产业资源消耗强度与中国海洋资源消耗强度变动趋势基本同步;空间格局演化上,海洋资源消耗中高强度省区逐渐减少,低强度省区逐渐增多,区域差异逐步缩小;②技术进步效应、产业结构效应和区域规模效应对我国海洋资源消耗强度下降的贡献率分别为78.224%、18.334%和3.442%;沿海各省区的因素分解效应差异显著,其中福建以技术进步效应为主,浙江、山东和海南以技术进步效应和区域规模效应为主,天津、河北和江苏以技术进步效应和产业结构效应为主,辽宁、上海、广东和广西则是技术进步效应、产业结构效应和区域规模效应共同推动海洋资源消耗强度下降;③从海洋三次产业来看,技术进步效应在第二产业内部贡献最大,累计占比为77.118%;产业结构效应在第一产业内部贡献最大,累计占比为314.547%;区域规模效应在三次产业内部无明显差异。各省区推行海洋三次产业资源集约利用技术或措施时应有所区别和侧重。

关键词: 海洋资源, 消耗强度, 因素分解, LMDI模型, 技术进步效应, 产业结构效应, 区域规模效应, 时空差异, 中国

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