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根据KAYA公式,文章建立了三个低碳经济模型。以江西为例运用模型量化研究江西各市的碳排放量,通过对三个模型计算结果分析发现:工业化程度较高的南昌市、新余市、鹰潭市人均CO2排放量较大,CO2排放与工业发展程度有较大的相关性;在模型三计算中,森林植被对CO2减排有巨大作用;通过对全省各市的CO2排放对比分析,发现江西各设区市低碳经济发展极不平衡。同时还发现,由于森林等生态系统对CO2的吸收功能,部分城市在经济发展中存在CO2零排放的低碳发展的可能性。
According to KAYA formula, the article establishes three low-carbon economic models. Taking Jiangxi Province as an example, the model was used to quantitatively study the carbon emissions of cities in Jiangxi Province. Based on the calculation results of the three models, it was found that the per capita CO2 emissions of Nanchang, Xinyu and Yingtan with higher degree of industrialization were higher, and CO2 emissions and industrial development In the third model calculation, the forest vegetation has a great effect on the CO2 emission reduction. Through the comparative analysis of the CO2 emissions in all the cities in the province, it is found that the development of the low-carbon economy in all the districts and cities in Jiangxi is extremely unbalanced. At the same time, it is also found that due to the absorption of CO2 by ecosystems such as forests, some cities have the potential to develop low-carbon CO2 emissions in their economic development.