Comparative analysis of carbon emissions in Tianjin based on LMDI method and STIRPAT model
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摘要:
通过梳理天津市2000—2019年碳排放量变化，基于LMDI方法和STIRPAT模型分别构建碳排放量模型，对比分析碳排放量影响因素，并预测基准情景、低碳情景和超低碳情景下的天津市碳达峰和碳中和情况。结果显示：天津市能源结构的不断优化和能源强度的持续降低是导致碳排放量减缓的主要因素，但天津市富裕程度的增加和城镇化率的提高促进碳排放量的增加；在基准情景下，天津市很难在2025年实现碳达峰、在2060年之前实现碳中和；在低碳情景下，天津市可在2025年之前实现碳达峰，但在2060年之前实现碳中和难度较大；在超低碳情景下，天津市更易在2025年之前实现碳达峰，且在碳汇工程的实施下可在2060年之前实现碳中和。
Abstract:By sorting out changes in Tianjin's carbon emissions from 2000 to 2019, the carbon emission models were constructed based on LMDI method and STIRPAT model, respectively. The influencing factors of carbon emissions were compared and analyzed, and the carbon peak and carbon neutrality situation in Tianjin under three scenarios, including baseline scenario, low-carbon scenario, and ultra-low-carbon scenario, were predicted. The results showed that the continuous optimization of Tianjin's energy structure and the continuous reduction of energy intensity were the main factors leading to the reduction of Tianjin's carbon emissions, but the increase in Tianjin's wealth and the increase in urbanization rate had promoted the increase in Tianjin's carbon emissions. Under the baseline scenario, it was difficult for Tianjin to achieve carbon peak in 2025 and carbon neutrality before 2060. In the low-carbon scenario, Tianjin could achieve carbon peak before 2025, but it was more difficult to achieve carbon neutrality before 2060. Under the ultra-low-carbon scenario, Tianjin was more likely to achieve carbon peak before 2025, and under the implementation of the carbon sink project, it could achieve carbon neutrality before 2060.
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Key words:
- carbon peak /
- carbon neutral /
- LMDI method /
- STIRPAT model /
- Tianjin City
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图 1 LMDI各影响因素累计贡献率
Figure 1. Cumulative contribution rate of each influencing factor of LMDI
图 2 LMDI方法和STIRPAT模型对天津市碳排放量的拟合分析
Figure 2. Fitting analysis of LMDI method and STIRPAT model for Tianjin's carbon emissions
图 3 LMDI方法和STIRPAT模型对天津市碳达峰预测分析
Figure 3. Prediction and analysis of carbon peak in Tianjin by LMDI method and STIRPAT model
图 4 LMDI方法和STIRPAT模型对天津市碳中和预测分析
Figure 4. Prediction and analysis of carbon neutrality in Tianjin by LMDI method and STIRPAT model
表 1 情景设置
Table 1. Scenarios setting
情景 参数 2020年 2021—2025年 2026—2060年 基准情景 地区生产总值 增长1.5% 2021年增长6.5%，其他年增长6% 年增长6% 能源强度 5年累计下降17% 5年累计降低15% 5年累计降低15% 碳排放强度 5年累计降低20.5% 5年累计降低20.5% 5年累计降低20.5% 城镇化率 83.60% 年均增长0.28个百分点 年均增长0.28个百分点 第三产业占比 64.40% 年均增长1.8% 年均增长1.8%，增长至90%不再增长 人口总数 年均增长0.159% 年均增长0.159% 年均增长0.159% 低碳情景 地区生产总值 增长1.5% 2021年增长6.5%，其他年增长6% 年增长3.6% 能源强度 5年累计下降17% 5年累计降低15% 5年累计降低21% 碳排放强度 5年累计降低20.5% 5年累计降低28.7% 5年累计降低28.7% 城镇化率 83.60% 年均增长0.28个百分点 年均增长0.168个百分点 第三产业占比 64.40% 年均增长1.8% 年均增长2.52%，增长至90%不再增长 人口总数 年均增长0.159% 年均增长0.159% 年均增长0.095 4% 超低碳情景 地区生产总值 增长1.5% 2021年增长6.5%，其他年增长6% 年增长1.2% 能源强度 5年累计降低17% 5年累计降低15% 5年累计降低27% 碳排放强度 5年累计降低20.5% 5年累计降低36.9% 5年累计降低36.9% 城镇化率 83.60% 年均增长0.28个百分点 年均增长0.056个百分点 第三产业占比 64.40% 年均增长1.8% 年均增长3.24%，增长至90%不再增长 人口总数 年均增长0.159% 年均增长0.159% 年均增长0.031 8% 
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