辽宁省种植业碳排放影响因素及预测分析
Influencing factors and prediction analysis of carbon emissions from the planting industry in Liaoning Province
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摘要: 构建以降碳为重要内容的社会主义生态文明, 需要各个行业都做出一定的碳减排贡献。农业是温室气体排放的重要碳源, 而种植业是农业的重要组成部分, 因此, 针对种植业碳排放进行研究具有重要意义。基于农地利用和农田土壤利用两类碳源, 采用因子系数法综合测算2003—2021年辽宁省种植业碳排放量, 运用对数平均迪氏指数法(LMDI模型)对辽宁省种植业碳排放进行影响因素分解, 并根据可拓展的随机性环境影响评估模型(STIRPAT模型)对2022—2030年种植业碳排放进行预测。结果表明: 1)辽宁省种植业碳排放总体呈先上升后下降的变化趋势, 于2013年达最高。农地利用中的主要碳源为化肥, 农田土壤中的主要碳源为水稻; 但玉米碳排放量增长较快, 于2015年首次超过水稻。2) LMDI模型分解影响因素结果表明, 经济水平是促进辽宁省种植业碳排放的最主要因素, 生产效率是抑制辽宁省种植业碳排放的最主要因素。产业结构对碳排放的影响总体为抑制效应, 农业人口则为增加效应。3)在基准情景与低碳情景下, 2022—2030年辽宁省种植业碳排放均呈下降趋势。最后, 本文针对辽宁省种植业碳减排提出以下政策建议: 短期来看, 推进机械化升级的同时, 对农业机械进行绿色升级; 长期来看, 在保障粮食安全的基础上, 对农村产业结构进行合理调整, 推广低碳种植技术, 全面提升种植业绿色生产水平。Abstract: Climate change has resulted from the continuous development of economies and societies. China would strive to reach peak carbon dioxide emissions before 2030 and achieve carbon neutrality before 2060. Building a socialist ecological civilization with carbon reduction as an important task requires all industries to contribute to carbon reduction. Agriculture is a major carbon source of greenhouse gas emissions, and planting industry is an important component of agriculture. Hence, research on carbon emissions from the planting industry holds immense significance. Based on two types of carbon sources, agricultural land use and farmland soils, the factor coefficient method was used to calculate the carbon emissions from planting industry in Liaoning Province from 2003 to 2021. The logarithmic mean Divisia index (LMDI) model was used to decompose the factors influencing the carbon emissions from planting industry in Liaoning Province, and the stochastic impacts by regression on population, affluence, and technology (STIRPAT) model was used to predict the carbon emissions from planting industry from 2022 to 2025. The results showed that: 1) The overall carbon emissions of the planting industry in Liaoning Province first increased and then decreased, reaching a peak in 2013. The main carbon source for agricultural land use was chemical fertilizers, and the main carbon source in farmland soils was rice. Carbon emissions from maize grew rapidly and exceeded those of rice for the first time in 2015. 2) Decomposition of influencing factors showed that the economic level was the most important factor promoting carbon emissions from planting industry in Liaoning Province, whereas production efficiency was the most important factor in restraining carbon emissions. The overall impact of industrial structure on carbon emissions was a suppressive effect, while the agricultural population had an increasing effect. 3) Under baseline and low-carbon scenarios, carbon emissions from planting industry in Liaoning Province showed a downward trend from 2022 to 2030. Based on above, short- and long-term policy recommendations are proposed for carbon emission reduction in planting industry in Liaoning Province. In the short-term, the mechanization and green upgrades of agricultural machinery should be promoted. To ensure long-term food security, reasonable adjustments should be made to the rural industrial structure, low-carbon planting technologies should be promoted, and the green production level of the planting industry should be comprehensively improved.