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首页> 外文期刊>Environmental Science and Pollution Research >Study on industrial selection of counterpart cooperation between Jilin province and Zhejiang province in China from the perspective of low carbon
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Study on industrial selection of counterpart cooperation between Jilin province and Zhejiang province in China from the perspective of low carbon

机译:从低碳角度看吉林省与浙江省与浙江省的工业选择研究

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摘要

Counterpart cooperation is a major innovative measure in China's strategy for revitalizing north-eastern China. While promoting economic progress, regional counterpart cooperation should also focus on low-carbon economy and sustainable development. Under the background of China's proposed innovative cooperation strategy, using a multi-regional input-output (MRIO) model and structural decomposition analysis (SDA), this study takes Jilin province and its counterpart Zhejiang province as an example and decomposes the change in carbon emission intensity (CEI), which is a widely used indicator to measure regional carbon emission performance. The decomposition spans the years 2007 to 2012, at the level of two provinces and departments. By comparing the factors that drive and inhibit CEI in the two provinces, it was found that the production technology effect in Jilin province primarily drove the growth in CEI, while in Zhejiang province, the opposite occurred. Second, the structural effects of agriculture and heavy industry in Jilin province accounted for the largest proportion of this change, and the pulling effect on the increase in CEI in Jilin was significantly higher than that in Zhejiang province. Third, the scale effect of agricultural demand in Zhejiang province was much higher than that in Jilin province, and the same trend was observed for the scale effect of heavy industrial exports.
机译:对应合作是中国振兴中国东北地区战略的重大创新措施。在促进经济进步的同时,区域对应合作也应关注低碳经济和可持续发展。在中国建议的创新合作策略的背景下,利用多区域投入输出(MRIO)模型和结构分解分析(SDA),本研究采取吉林省及其对手浙江省的示例并分解了碳排放的变化强度(CEI),是一种广泛使用的指标,以测量区域碳排放性能。分解跨度2007年至2012年,在两省和部门的水平。通过比较推动和抑制两省CEI的因素,发现吉林省的生产技术效应主要推动CEI的增长,而在浙江省则发生相反。其次,吉林省农业和重工业的结构效应占这一变革的最大比例,而吉林赛铈增幅的拉动效应明显高于浙江省。第三,浙江省农业需求的规模效应远高于吉林省的高出规模,据称对重工业出口的规模效应相同的趋势。

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