Payment vehicle effect( PVE) extensively exists in measuring environmental values,i. e. economists verified remarkable difference of valuation outcome between‘tax’vehicle and‘labor’vehicle. But previous studies have not discovered why PVE existed.This paper uses both ‘tax’and ‘labor’vehicles to evaluate urban wetlands in Beijing,and further to explore the existence of PVE.We firstly compare the theoretical difference,on the basis of time allocation theory,between monetary and labor vehicles when evaluating urban wetlands,and accordingly propose our hypotheses. ‘Tax’and ‘labor’vehicles are respectively used to design two separate choice experiments,and then we conduct an online survey on Beijing residents in May,2017,and respondents are randomly allocated in the two experiments. We use random parameter Logit model and generalize multinomial Logit model to elicit marginal values of four different wetland attributes. Results indicate that,mean marginal willingness-to-pay values elicited through tax vehicle for wetland size( every 1 000 hm2),proportion of class Ⅱ and Ⅲ water quality( one percent),number of animal and plant species( every 10 species),vegetation coverage( one percent) are respectively annually RMB 23.254 RMB 17.266,RMB 5.559 and RMB 9.041,while mean marginal willingness-to-work values elicited through labor vehicle are respectively annually 0.211 day,0.138 day,0.042 day and 0.093 day. Significant PVE is confirmed in urban wetland valuation,where the marginal willingness-to-pay values elicited through tax vehicle is only about 50% of those elicited by‘labor’vehicle( i.e. product of willingness-to-work and wage rate). PVE is stronger in male samples than in female samples. And the higher the proportion of wage income in total income,the larger is PVE.Above results might offer essential reference for the restoration and protection of urban wetlands. Researchers and practitioners,in the future,could take PVE into consideration when designing environmental policies in order to further improve social welfare.