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Scenario Prediction of Energy Consumption and CO 2 Emissions in China’s Machinery Industry

机译:中国机械工业能耗和CO 2排放的情景预测

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Energy conservation and CO 2 abatement is currently an important development strategy for China. It is significant to analyze how to reduce energy consumption and CO 2 emissions in China’s energy-intensive machinery industry. We not only employ a cointegration method and scenario analysis to predict the future energy demand and CO 2 emissions in China’s machinery industry, but we also use the Monte Carlo simulation to test the validity of the predictions. The results show that energy demand in the industry will respectively reach 678.759 Mtce (million ton coal equivalent) in 2020 and 865.494 Mtce in 2025 under the baseline scenario. Compared with the baseline scenario, the energy savings in 2020 will respectively be 63.654 Mtce and 120.787 Mtce in the medium and advanced scenarios. Furthermore, we forecast the corresponding CO 2 emissions as well as the reduction potential respectively in 2020 and 2025. In order to achieve energy conservation and emissions reduction, the government should increase energy price, levy environmental taxes based on the emissions level of machinery enterprises, promote mergers and acquisitions of enterprises, and expand the scale of enterprises. This paper provides a reference for energy conservation and CO 2 abatement policy in China’s machinery industry.
机译:节能和减少CO 2是当前中国重要的发展战略。分析如何降低中国高耗能机械行业的能源消耗和CO 2排放具有重要意义。我们不仅采用协整方法和情景分析来预测中国机械行业的未来能源需求和CO 2排放,而且还使用蒙特卡洛模拟法来检验这些预测的有效性。结果表明,在基准情景下,该行业的能源需求将在2020年分别达到678.759 Mtce(百万吨煤当量)和2025年达到865.494 Mtce。与基准情景相比,到2020年,中型和高级情景下的节能量将分别为63.654 Mtce和120.787 Mtce。此外,我们预测了2020年和2025年相应的CO 2排放量和减排潜力。为了实现节能减排,政府应提高能源价格,根据机械企业的排放水平征收环境税,促进企业并购,扩大企业规模。本文为中国机械工业的节能减排政策提供了参考。

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