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基于核密度估计矿业碳排放动态演变及因素研究
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Abstract:
作为工业的重要组成部分，矿业在实现中国2030年“碳达峰”和2060年“碳中和”目标的过程中面临巨大的减排压力。矿业活动强度和技术创新对碳排放有显著影响，但矿业规模结构和能源结构对碳排放的具体影响尚未得到充分研究。为此，本文旨在探讨矿业结构与碳排放之间的关系。我们使用核密度估计方法分析了中国及其东部、中部和西部地区的矿业碳排放强度，并采用Panel-VAR模型分析了影响矿业碳排放强度的因素。研究结果表明，中国及东部、中部地区的矿业碳排放强度均呈现不同程度的下降趋势，其中经济发达的东部地区的降幅最为显著。全国范围内，大中型矿山比例、单位矿山平均产矿量以及能源消费结构是影响矿业碳排放强度的关键因素，但这些因素在不同地区的影响程度存在差异。
As an important part of industry, the mining industry faces huge pressure to reduce emissions in the process of achieving China’s “carbon peak” in 2030 and “carbon neutrality” in 2060. The intensity of mining activities and technological innovation have a significant impact on carbon emissions, but the specific impact of mining scale structure and energy structure on carbon emissions has not been fully studied. To this end, this paper aims to explore the relationship between mining structure and carbon emissions. We used the kernel density estimation method to analyze the mining carbon emission intensity of China and its eastern, central and western regions, and used the Panel-VAR model to analyze the factors affecting the mining carbon emission intensity. Research results show that the carbon emission intensity of mining in China and the eastern and central regions has shown a downward trend to varying degrees, with the most significant decline in the economically developed eastern region. Nationwide, the proportion of large and medium-sized mines, average mineral production per unit mine, and energy consumption structure are key factors affecting the carbon emission intensity of the mining industry, but the impact of these factors varies in different regions.
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