关键词: 加工番茄, 生产效率, 县域差异, 地理探测器模型, 要素投入

Abstract: Xinjiang is an important base for production and export of tomato products in China. Based on the survey data of 480 farmers in the main producing counties of processing tomato in Xinjiang, the DEA-BCC model was used to measure the production efficiency of the main producing counties of processing tomato in Xinjiang, analyze the redundancy rate of production factors in the main producing counties of processing tomato in Xinjiang, and the geographical detector model was also used to reveal the key factors affecting the production efficiency of processing tomato. The results showed that there were significant differences in the production efficiency of Xinjiang processing tomato in main producing counties, and the production efficiency did not reach the effective level of DEA. Secondly, the input of essential productive factors in main producing counties of processing tomato had different levels of redundancy, among which the redundancy of planting area and agricultural machinery fell within the insufficient intensity of resource utilization, while the redundancy of labor force, fertilizers and pesticides fell within excessive input of productive factors. Net income of farmer families, their age, education level, planting schedule and planting area were the main contributory factors for the countylevel difference in productivity， the corresponding level of explanation is 61.4%-65.2%, and all the effect of interaction between the factors was greater than that of individual effect, indicating that reasonable flow and efficient clustering of productive factors between the counties and the radiation function of main producing counties can effectively enhance the productivity of processing tomato growers.

Key words: processing tomato, production efficiency, county differences, geographic detector model, factor input