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我国沿海渔业碳生产率的区域差异及影响因素
引用本文:许冬兰,王樱洁.我国沿海渔业碳生产率的区域差异及影响因素[J].中国农业大学学报,2015,20(2):284-290.
作者姓名:许冬兰  王樱洁
作者单位:中国海洋大学经济学院
基金项目:教育部人文社科重点研究基地中国海洋大学发展研究院资助项目(2012JDZS02);山东省优秀中青年科学家奖励基金(BS2012HZ024)
摘    要:针对提高渔业碳生产率的问题,测算1978—2011年我国沿海11个省市的渔业碳生产率,利用省际面板数据对其影响因素进行实证分析。结果表明:我国渔业碳生产率整体在逐年提高,但各省市间的渔业碳生产率水平差异较大。天津、江苏和山东的渔业碳生产率排名前3位,广西、海南和浙江排在最后;从海域视角看,呈现出由渤海、黄海和东海到南海渔业碳生产率逐渐降低的趋势。对我国沿海渔业碳生产率水平有显著正向影响效应的因素主要有渔业发展水平(0.023)、产业结构(0.438)、对外开放度(0.044)和技术进步(0.760)。从低碳渔业经济模范市、渔业科技进步和渔业外贸3个方面提出了提高我国沿海渔业碳生产率的政策建议。

关 键 词:碳生产率  沿海渔业  区域差异  影响因素
收稿时间:2014/2/13 0:00:00

Regional differences and influencing factors of China's coastal fishery carbon productivity
XU Dong-lan and WANG Ying-jie.Regional differences and influencing factors of China's coastal fishery carbon productivity[J].Journal of China Agricultural University,2015,20(2):284-290.
Authors:XU Dong-lan and WANG Ying-jie
Institution:XU Dong-lan;WANG Ying-jie;School of Economics,Ocean University of China;
Abstract:This paper calculates the fishery carbon productivity of 11 coastal provinces in China from 1978 to 2011, and then empirically analyzes their influencing factors on improving fishery carbon productivity.The result showed that the overall fishery carbon productivity increases gradually, but the fishery productivities of the 11 provinces were diverse.Tianjin, Jiangsu and Shandong were the top three provinces in carbon productivity while Guangxi, Hainan and Zhejiang were in the lowest rank.Furthermore, there was a decreasing trend of the fishery productivity from the Bohai Sea, Yellow Sea, East China Sea to South China Sea.In addition, the level of fishery development (0.023), industrial structure (0.438), open degree (0.044) and technical progress (0.760) were the main positive influencing factors on fishery carbon productivity.Finally, this paper also proposed policy measured for coastal fishery carbon productivity, such as low carbon fishery economic model city, technical progress, foreign trade and so on.
Keywords:carbon productivity  coastal fishery  regional differences  influencing factors
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