Resource consumption and pollutant releasing are high correlated with the economy development in Guangdong Province. However, their equality and reasonability are so far difficult to be evaluated. Resource-environment Gini coefficient (Gre) was thus designed according to the conception of Gini coefficient and used to evaluate the fairness levels of resource consumption and pollutant releasing under the same economy contribution rate. If the ratio of resource consumption or pollutant releasing to the total consumption or releasing in a producing unit is equal to its economy contribution rate, its resource consumption or pollutant releasing is considered to be the fairest. The energy consumption, and its corresponding COD discharging, SO2 emission, and industrial solid wastes discharging in 2005 in Guangdong Province were chosen to calculate Gre. The green contribution coefficient (GCC), the ratio of economy contribution rate to the pollutant discharging rate and resource consumption rate were applied as the bases to judge the unfair factors. The Gre of energy consumption, COD discharging, SO2 emission, and industrial solid wastes discharging were 0.15, 0.39, 0.38 and 0.87, respectively. It could be concluded that the energy consumption distribution was relatively fair, COD discharging distribution and SO2 emission distribution were relatively reasonable, and the industrial solid waste discharging distribution was considered to be unreasonable. It suggests that the differences of the distribution of the resource-environment among the 21 cities of Guangdong Province are large. These unfair factors were found to appear mainly in the north economically-undeveloped part including Qingyuan, Shaoguan, Yunfu, and Heyuan. The contribution rates of energy consumption and pollutant releasing were bigger than the rate of economy contribution in these four cites. Shenzhen, Guangzhou, and Zhongshan are relatively economically-developed cities located in Pearl River Delta of Guangdong Province, whose economy contribution rates were bigger than the contribution rates of energy consumption and pollutant releasing. In order to reduce the spatial difference of resource-environment distribution in Guangdong Province, the developing mode needs to be modified to harmonize the development of economy, resource, and environment, especially in Qingyuan, Shaoguan, Yunfu, and Heyuan. Analysis of city resource-environment Gini coefficient are helpful to offer proofs for pollutant gross control and allocation, and to offer references for sustainable development in Guangdong Province.