Abstract: Objective To understand the funding input, distribution, and related factors of China Global Fund （GF）TB Program, in order to provide basis for Government funding allocation after the closure of China GF TB Program in middle of 2014. Methods National and 31 provincial （prefectural and county, except for Hong Kong, Macao and Taiwan）GF TB program investment and allocation data from 2003 to 2013 were collected. Several factors in each province were analyzed through Pearson correlation analysis in order to determine whether they had a statistical correlation to the distribution of GF TB program resources in China，including：the Per Capital Gross Domestic Product (GDP)，the number of TB registration, and TB registration rate were calculated at each provincial level and compared with related GF investment. The Z values were calculated at each provincial level and compared with the per capita of GF investment. The resource allocation in different program areas were compared with the level of resource input by GF and the central transfer payments. SPSS 18.0 software was adopted to carry out the data processing and analysis, and the correlation between the resource input of China GF TB Program and related indicators was analyzed by Pearson correlation. P<0.05 was considered a significant difference.  Results The total expenditure for China TB prevention and control by GF reached US 238 million from 2003 to 2013, 67.68% corresponding to US162 million was funded TB dispensaries under the central. Positive correlation (r is 0.626 and 0.765 and P<0.01 both) was identified between GF resource input and the “TB resource needs combined index”, the number of TB registration. However, there was no statistical correlation (r is 0.039 and P=0.833) between GF resource input and the GDP. There was negative correlation (r is -0.18 and P=0.924) between GF resource input and TB registration rate of each province．The GF TB program investment and need in different province could not meet completely．The rank of Z value in Xinjiang Uygur Autonomous Region were 8，but the rank of GF TB program in same province was 16.  Conclusion Though in comparison with the central transfer payment, the global fund funding covered different working content, the overall allocation of funds was fair.

Key words: Tuberculosis/economics, Ost allocation