...
首页> 外文期刊>Resources, Conservation and Recycling >Decomposing the decoupling of CO2 emissions and economic growth in China's iron and steel industry
【24h】

Decomposing the decoupling of CO2 emissions and economic growth in China's iron and steel industry

机译:分解中国钢铁工业中二氧化碳排放量和经济增长的解散

获取原文
获取原文并翻译 | 示例
           

摘要

Building a low-carbon industry is essential for the development of a sustainable economy. To study the relationship between carbon emissions and economic growth of China's iron and steel (IS) industry, this paper first measures the decoupling relationship between carbon emissions and added value of the IS industry from 2001 to 2016 based on the Tapio decoupling model. The causal-chain decomposition model is then used to decompose the decoupling index into different factors. Results show that carbon emissions and economic growth of the IS industry have mostly weak decoupling. For the influencing factors, decoupling elasticities of emission reduction and value creation exert negative impacts on overall decoupling, and the former one plays a bigger role. Decoupling elasticities of energy electricity and industrial electrification positively improve the total decoupling, but the effect is not stable yet and needs to be further enhanced. Finally, the grey Verhulst model is used to predict the decoupling state by the end of 2025. Forecasting results show that industry will still be in a weak decoupling, but the decoupling state will get better over time. Corresponding policy suggestions are posited based on the empirical findings to facilitate the green and low-carbon development of the IS industry.
机译:建立低碳行业对可持续经济的发展至关重要。为研究中国钢铁(IS)行业之间的碳排放和经济增长之间的关系,本文首先衡量了2001年至2016年碳排放与碳排放与额外价值之间的解耦关系,基于Tapio解耦模型。然后使用因果链分解模型将解耦指数分解为不同的因素。结果表明,碳排放量和经济增长主要是脱耦。对于影响因素,减排和价值创造的解耦弹性对整体去耦产生负面影响,前者发挥了更大的作用。能量电和工业电气化的去耦弹性肯定地改善了总去耦,但效果尚未稳定,需要进一步增强。最后,灰色verhulst模型用于预测到2025年底的解耦状态。预测结果表明,行业仍然处于弱的解耦,但去耦状态会随着时间的推移而变得越来越好。基于实证调查结果,对相应的政策建议进行了调查,以促进为行业的绿色和低碳发展。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号