全球变化知识资源中心

Climate change has become a global issue influencing human survival and development while low-carbon is the inevitable choice. As the world's largest emitter of greenhouse gases, China has become an important force that influences the cooperation of climate change. China is a large agricultural country, and the rural carbon emissions have been gradually increasing. We consider rural neighborhood as an important space for the use of low-carbon ideas to address climate change. There is no specific assessment system for a rural neighborhood. The studies of rural neighborhood low-carbon mainly focus on the method of calculation carbon emissions. However, only quantifying rural carbon emissions is insufficient. In this paper, a low-carbon evaluation indicator system has been proposed for rural neighborhood and Fuzzy Comprehensive Evaluation has been applied to get the low-carbon degree. Considering the influence and feedback inside the indicator system, Analytic Network Process was applied to get the weights. Furthermore, a case study was carried out for the using of the proposed method in an eco-village of China. Our practice has proved that the system is easy to operate in rural neighborhood.