Abstract: In order to study the consequence of undertaking international industrial transfer by six provinces of central China for nearly 15 years and explore how to improve the level to undertake international industrial transfer, this paper builds a measurement index system about the efficiency of undertaking international industrial transfer, from the angle of inputoutput. The time and space differentiation characteristics from 2000 to 2014 about the efficiency of 80 regional units of the six provinces in central China are measured by EMS3.1 software. The time and space differentiation pattern and space correlation are analyzed by GeoDa095i software. Based on analyzing the mechanism of influencing the efficiency of undertaking international industrial transfer, using stata130 software and adopting the fixed effects model, this paper makes quantitative analysis of the influencing factors of efficiency. Results show that: (1) From 2000 to 2014, the number of cities in the effective value of DEA gradually increases; the number of cities on the rise are 52, the number of cities showing a trend of decline are 28, and DEA efficiency value of the provincial capital city and its surrounding areas is relatively higher than that of other regions; (2) Spatial differentiation of the central region’s efficiency of undertaking international industrial transfer is obvious and it has a clear spatial cluster effect; (3) Industry supporting factor, industry attracting factor and industry developing factor have great influences on the efficiency of the central region to undertake international industry transfer, and the influence of industry identifying factor is relatively weak. The regression coefficients of influencing factors ranked from to small are the employee proportion of second and third industry, passenger volume, worker’s average wage, per capita GDP, the balance of financial institutions at the end of year, and research and development (R&D) spending. Based on the results, some corresponding countermeasures and suggestions are put forward for the central region to improve undertaking international industrial transfer. Key words： international industrial transfer; superDEA model; penal estimate; spatial analysis; central region in China