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8 2008—2016年海水养殖碳汇的价值效应VLE
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Tab. 8 The value effect VLE of mariculture carbon sinks from 2008 to 2016
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| 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | | 全国 | 1.0453 | 1.0531 | 1.1164 | 0.9543 | 1.0500 | 1.0525 | 1.0240 | 1.0770 | 1.0506 | | 河北 | 1.0165 | 1.1037 | 1.0029 | 1.1357 | 1.1956 | 1.1082 | 1.0160 | 1.0290 | 1.0714 | | 辽宁 | 1.0513 | 1.0722 | 1.1647 | 0.9865 | 1.0700 | 1.0414 | 1.0039 | 1.0808 | 1.0257 | | 山东 | 1.0598 | 1.0386 | 1.1454 | 0.9228 | 1.0440 | 0.9953 | 0.9334 | 1.0508 | 1.0733 | | 江苏 | 0.9306 | 1.0796 | 1.0831 | 0.8568 | 1.1011 | 1.0427 | 1.0384 | 1.1233 | 1.1960 | | 浙江 | 1.0472 | 1.0334 | 1.1053 | 0.9385 | 1.0570 | 1.0715 | 1.0460 | 1.1007 | 1.0658 | | 福建 | 1.0679 | 1.0447 | 1.1093 | 0.9574 | 1.0402 | 1.0667 | 1.0368 | 1.0680 | 1.0527 | | 广东 | 1.0401 | 1.0603 | 1.1189 | 0.9200 | 1.0255 | 1.0240 | 1.0074 | 1.0474 | 0.9638 | | 广西 | 1.0443 | 1.0707 | 1.0929 | 0.9566 | 1.0562 | 1.0533 | 1.0498 | 1.0891 | 1.0883 | | 海南 | 1.0438 | 1.0682 | 1.1040 | 1.0043 | 1.1298 | 1.2031 | 0.9697 | 1.0896 | 1.0183 |
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