中国海水养殖碳汇经济价值时空演化及影响因素分析
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孙康, 崔茜茜, 苏子晓, 王雁楠
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Spatio-temporal evolution and influencing factors of the economic value for mariculture carbon sinks in China
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SUN Kang, CUI Xixi, SU Zixiao, WANG Yannan
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表7 2008—2016年海水养殖碳汇的规模效应SCE
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Tab. 7 The scale effect SCE of mariculture carbon sinks from 2008 to 2016
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| 城市 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | | 全国 | 1.0504 | 1.0497 | 1.0476 | 1.0587 | 1.0008 | 1.0456 | 1.0341 | 1.0215 | 1.0478 | | 河北 | 1.0131 | 1.0925 | 1.0339 | 1.0610 | 0.9943 | 1.0430 | 1.0359 | 1.0183 | 1.0468 | | 辽宁 | 1.0000 | 1.0120 | 1.0661 | 1.0548 | 1.0035 | 1.0253 | 1.0491 | 1.0266 | 1.0575 | | 山东 | 1.0000 | 1.0588 | 1.0382 | 1.0644 | 1.0032 | 1.0486 | 1.0399 | 1.0204 | 1.0595 | | 江苏 | 1.0000 | 1.0841 | 1.0511 | 1.1004 | 1.0292 | 1.0506 | 1.0344 | 1.0136 | 1.0297 | | 浙江 | 1.0000 | 1.0558 | 1.0103 | 1.0608 | 0.9956 | 1.0427 | 1.0359 | 1.0214 | 1.0439 | | 福建 | 1.0000 | 1.0396 | 1.0414 | 1.0454 | 0.9871 | 1.0435 | 1.0311 | 1.0200 | 1.0408 | | 广东 | 1.0000 | 1.0561 | 1.0413 | 1.0552 | 1.0018 | 1.0372 | 1.0339 | 1.0208 | 1.0448 | | 广西 | 1.0000 | 1.0566 | 1.0385 | 1.0648 | 1.0011 | 1.0420 | 1.0354 | 1.0231 | 1.0489 | | 海南 | 1.0000 | 1.0575 | 1.0524 | 1.0631 | 1.0000 | 1.0489 | 1.0371 | 1.0234 | 0.7621 |
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