CAJ | 학술논문

引入超效率DEA非参数线性规划方法构建了沿海地区蓝绿指数，衡量创造GOP过程中资源消耗、污染排放、环境治理的投入程度，利用Malmquist方法对蓝绿指数变化进行动态分析，构建了聚类矩阵和收敛指数。结果显示：蓝绿指数十年整体均值并不处于蓝绿前沿面，各地区海洋经济增长对资源消耗、污染排放与环境治理的程度呈现出较大差异性，其中上海、广东、海南的蓝绿指数排名位于前列；蓝绿前沿的变化幅度对沿海地区的蓝绿指数产生了较大正向影响；聚类矩阵中除上海、广东呈现“双高”外，其他沿海地区均呈现“单偏”型；收敛指数则表明沿海三大经济区域海洋绿色经济发展差距逐渐缩小。
인입초효솔DEA비삼수선성규화방법구건료연해지구람록지수，형량창조GOP과정중자원소모、오염배방、배경치리적투입정도，이용Malmquist방법대람록지수변화진행동태분석，구건료취류구진화수렴지수。결과현시：람록지수십년정체균치병불처우람록전연면，각지구해양경제증장대자원소모、오염배방여배경치리적정도정현출교대차이성，기중상해、엄동、해남적람록지수배명위우전렬；람록전연적변화폭도대연해지구적람록지수산생료교대정향영향；취류구진중제상해、엄동정현“쌍고”외，기타연해지구균정현“단편”형；수렴지수칙표명연해삼대경제구역해양록색경제발전차거축점축소。
The super-efficiency DEA non-parametric linear programming method is introduced to build a blue-green index in coastal areas to measure the degree of resource consumption, pollutant discharge and environmental governance investment. The Malmquist is utilized to analyze the change of blue-green index. Together with it, clustering matrix and convergence in-dex are established to explore spatial agglomeration trends. The results show that the overall mean of blue-green indices in ten years is not in the blue-green frontier, and the coastal areas demonstrate a large difference, in which the blue-green indi-ces of Shanghai, Guangdong and Hainan rank among the top. The changes in the blue-green frontier have a positive impact on blue-green indices of coastal areas. In the clustering matrix, all coastal areas display a “single-bias”, except Shanghai and Guangdong. The convergence index indicates that the three major coastal economic zones are narrowing gradually.