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Measurement Research on the Decoupling Effect of Industries’ Carbon Emissions—Based on the Equipment Manufacturing Industry in China

机译:行业碳排放脱钩效应的计量研究—基于中国装备制造业

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Economic development usually leads to increased energy consumption, which in turn will result in an increase in carbon emissions. To break the relationship between economic development and carbon emissions, scholars have turned their attention to the phenomenon of decoupling. In this paper, we studied the decoupling relationship between carbon emissions and economic growth of the equipment manufacturing industry in China from 2000 to 2014. We adapted the LMDI decomposition method, and we used the Tapio decoupling evaluation model to analyze our data. We found that the decoupling relationship between carbon emissions and economic growth of China’s equipment manufacturing industry is weak, which indicates the industry is experiencing faster economic growth than carbon emission growth. We found the economic output is the factor that has the strongest influence on the industry’s carbon emission, and energy consumption intensity has the strongest relationship with the decoupling of economic growth and carbon emission. The indicators of the industry’s decoupling-effort are all less than 1.0, which indicates that the industry is in the state of weak decoupling, and we also observed an annual decreasing trend in the industry’s indicators. Toward the end of this paper, we used the Grey forecasting model to predict the decoupling relationship between carbon emission and economic growth for 2015–2024, and we discussed the implications of our research.
机译:经济发展通常会导致能源消耗增加,进而导致碳排放量增加。为了打破经济发展与碳排放之间的关系,学者们将注意力转向了脱钩现象。本文研究了2000年至2014年中国装备制造业的碳排放与经济增长之间的脱钩关系。我们采用LMDI分解方法,并使用Tapio脱钩评价模型对数据进行了分析。我们发现,碳排放与中国装备制造业的经济增长之间的脱钩关系很弱,这表明该行业正经历着比碳排放增长更快的经济增长。我们发现经济产出是对行业碳排放影响最大的因素,而能源消耗强度与经济增长与碳排放的脱钩关系最密切。该行业的去耦努力指标均小于1.0,这表明该行业处于弱去耦状态,并且我们还观察到该行业指标呈逐年下降的趋势。在本文即将结束时,我们使用了灰色预测模型来预测2015-2024年碳排放量与经济增长之间的脱钩关系,并讨论了我们研究的意义。

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