In order to realize the promise that China will achieve the peaking of CO_2 emissions around 2030, it is a key step to explore the decomposition of carbon cap targets at provincial level during the 13th Five Year Plan period. Based on the regional difference and comprehensively considering equity,efficiency and feasibility,we proposed a decomposition model of carbon cap targets and used it to allocate the targets of Zhejiang Province from 2013 to 2020 to the 11 cities. The results showed that the carbon cap targets of 11 cites were nearly consistent under four different scenarios. Under four scenarios with different weights,our results can effectively reflect the regional difference of 11 cites with respects to economic development, living standards and technology levels. This further demonstrates that it is reasonable and feasible to allocate carbon cap targets with our model. The scheme that prefers equity has the advantage in coordinating regional differences in economic development,which can force'the low-carbon transformation of economic development. The scheme that prefers efficiency can achieve maximum use of carbon emission space,but adequate financial and technical supports are needed. After China establishes the unified carbon emission trading market during the 13th Five Year Plan period, the scheme that prefers feasibility can achieve a win-win situation of realizing both economic development and carbon reduction through the carbon market. In addition, we can give full play to the strategic reserved carbon cap targets to ensure the commitment of carbon cap targets in every province. Although there are still some uncertainties in choosing the regional decomposition indexes and allocating the strategic reserved carbon cap targets, we can gradually reduce them with the establishment of provincial statistical systems for addressing climate change and announcement of 13th Five Year Plan. This research creatively provides provincial decomposition method of carbon cap targets that balances equity, efficiency and feasibility for the developed provinces in China.