关键词: 碳减排, 可持续发展, 方向性距离函数, 交互式迭代

Abstract: Greenhouse gas emissions are supposed to lead to global warming and climate change, among which carbon dioxide is the most significant one generated by humans. Tackling this issue requires global action and joint efforts from all over the world. As a high-speed developing country, China has become the world's largest energy-consumer and the biggest carbon-dioxide producer. In order to take an active role in fighting global warming, China intends to cut carbon emissions by a remarkable percentage, and to establish the national market for trading carbon emissions. Under the frame of efficiency analysis, the directional distance function (DDF) is used to evaluate performance with undesirable outputs, and an iterative procedure is further developed to disagg regate China's national reduction target of carbon emissions at the provincial level. The results indicate that different provincial regions tend to share different levels of reduction target depending on their geographical features, economic conditions and industrial structures. Most provinces and municipalities located in the more economic-developed coastal areas should substantially lower carbon emissions. In contrast, economic zones in central and west China demonstrate a much smaller decreasing scale. Thirty provincial regions are further classified into four clusters jointly by economic development and carbon emissions. With respect to each cluster, a detailed discussion is given in its current development status, as well as some instructive suggestions on an eco-friendly and sustainable development.

Key words: carbon emission reduction, sustainable development, directional distance function, interactive iteration