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How does foreign trade influence China's carbon productivity? Based on panel spatial lag model analysis

机译:对外贸易如何影响中国的碳生产率?基于面板空间滞后模型的分析

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摘要

Foreign trade is one of the main sources of China’s carbon emissions. Carbon productivity has become an important approach to measure the level of low carbon development, because it can integrate the goals of economic development and carbon reduction. Therefore, it is of great significance to understand the influencing mechanisms of foreign trade on China's carbon productivity to improve trade quality and low carbon development. This research measured China’s carbon productivity and analyzed the effect of foreign trade on carbon productivity through applying spatial lag model with the data of 30 provinces from 2000 to 2014. The results show that China's carbon productivity had obviously positive spatial spillover effect. Export-import significantly improved China's carbon productivity and mainly through import. As for the regional regression results, foreign trade of the western region contributed the most to enhance China’s carbon productivity, while the eastern and central regions were at the stage that the foreign trade inhibited carbon productivity. Policy recommendations were put forward in terms of the emphasis of import trade, the optimization of trade structure, the customized measures in different regions to improve carbon productivity. Furthermore, provinces should coordinate with each other and eliminate inter-regional barriers to promote the market-oriented distribution of production factors, in order to realize the spillover effect of carbon productivity.
机译:对外贸易是中国碳排放的主要来源之一。碳生产率已经成为衡量低碳发展水平的重要方法,因为它可以整合经济发展和减碳目标。因此,了解对外贸易对中国碳生产率的影响机制对于提高贸易质量和低碳发展具有重要意义。这项研究测量了中国的碳生产率,并通过应用空间滞后模型和2000年至2014年30个省的数据,分析了外贸对碳生产率的影响。结果表明,中国的碳生产率具有明显的正空间溢出效应。进出口贸易主要通过进口来显着提高中国的碳生产率。至于区域回归结果,西部地区的对外贸易对提高中国的碳生产率贡献最大,而东部和中部地区则处于外贸抑制碳生产率的阶段。就进口贸易的重点,贸易结构的优化以及不同地区为提高碳生产率而制定的定制措施方面提出了政策建议。此外,各省应相互协调,消除区域间壁垒,促进生产要素的市场化分配,以实现碳生产率的溢出效应。

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