Coordination of economy, environment and social performance is a key component of energy companies. This paper uses coupling theory to establish a coupling coordinated development system of economy-environment-social(EES) performance of energy companies, and their evaluation index system and comprehensive evaluation methods for the three factors respectively. Coupling model and coupling coordination model are built in terms of coordination of economy, environment and social performance of petroleum companies as a basis to weigh their coordination. In terms of the ChinaPetro's panel data from 2007 to 2018, this paper discusses its coordination as to verify the feasibility of coupling theory on the triple performance evaluation. ChinaPetros coupling coordination lies between 0.6 to 0.8, at a medium level. Its coordination development has been promising but descending recently. Its triple performances suppress each other. Improvement of environmental and social performance can boost its economic performance, which, if unstable, also can impact companies' comprehensive performances. Economic performance is the basic precondition of coordinated development of companies triple performance.

This paper, based on expert effect formula establishing expert subjective assessment matrix, uses entropy weighting to give objective and subjective weights of indicators, and presents multiple expert comprehensive assessment of carrying capacity of resources and environment on the basis of weights integrated model that is established by the minimum cross entropy. This method, without any added information, combines subjective with objective weights, which avoids not only the subjective random, but also the excessive information from data. This paper, from subsystems economy, population, natural resources and environment, sets up comprehensive evaluation index system of carrying capacity of resources and environment which is used in Guangxis Beibu Gulf city agglomeration. The results show Nanning has a rapid growth with big population and GDP; Beihai has a rising GDP thanks to its coastal locality; Qinzhou and Fangchenggang ranks at bottom, which need to consider how to consolidate resources and increase urban comprehensive intensity. The study is consistent with the actual, which validates the method. 