中国各省份（地区）之间体现碳贸易和增值贸易的匹配程度。
Matching degree of embodied carbon trade and value-added trade among Chinese provinces (regions).
机构信息
School of Economics and Management, Shanghai University of Political Science and Law, Shanghai, PR China.
School of Statistics, Lanzhou University of Finance and Economics, Lanzhou, PR China.
出版信息
PLoS One. 2023 Feb 10;18(2):e0277128. doi: 10.1371/journal.pone.0277128. eCollection 2023.
This paper constructs a matching index model to research the matching degree of embodied carbon trade and value-added trade among eight regions and 31 provinces in China in 2012 and 2015. The study finds that (1) At the regional level, a mismatch is shown between embodied carbon trade and value-added trade among regions, for example, in 2015, the northwest region has output embodied carbon to the north coast, while input the value-added trades from the north coast. (2) At the provincial level, a mismatch is displayed between embodied carbon transaction and value-added trade, for example, Beijing had a net shift of embodied carbon from Xinjiang in 2015, but Xinjiang had a net transfer of added value from Beijing. Therefore, the Chinese government needs to establish an ecological compensation mechanism to improve the mismatch between embodied carbon trade and value-added trade among Chinese regions (provinces).
本文构建了一个匹配指数模型，以研究 2012 年和 2015 年中国 8 个地区和 31 个省份之间的隐含碳贸易与增值贸易的匹配程度。研究发现：（1）在区域层面上，区域间隐含碳贸易与增值贸易之间存在不匹配，例如，2015 年，西北地区向北部沿海地区输出隐含碳，而从北部沿海地区输入增值贸易。（2）在省级层面上，隐含碳交易与增值贸易之间存在不匹配，例如，2015 年北京从新疆净转移隐含碳，但新疆从北京净转移附加值。因此，中国政府需要建立生态补偿机制，以改善中国各地区（省份）之间隐含碳贸易与增值贸易之间的不匹配。
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