关键词: 城镇化, 农业低碳TFP, Super-RSBM模型, 夜间灯光数据, 动态空间杜宾模型

Abstract: By using the data of satellite monitoring to construct a light composite index to characterize the level of urbanization, this paper uses the Super-efficiency Ray Slacks-Based Measure (Super-RSBM) model and the Global Malmquist-Luenberger (GML) index to measure China’s agricultural low-carbon total factor productivity (TFP) from 2000 to 2021, and conduct an empirical investigation on the impact of urbanization on China’s agricultural low-carbon TFP and its mechanism. In particular, the heterogeneous effects of two urbanization promotion modes, i.e. compact intensive pattern and scale expansion pattern, on agricultural low-carbon TFP are examined. The research shows that, as far as the whole country is concerned, there is a significant “U-shaped” relationship between urbanization promotion and agricultural low-carbon TFP, and the improvement of agricultural low-carbon TFP in adjacent areas has produced a demonstration effect in the local area. In terms of sub-regions, this U-shaped relationship is mainly reflected in the moderate agricultural development area, while the urbanization level and low-carbon TFP in the agricultural optimized development area have a positive and significant linear relationship, indicating that the agricultural optimized development areas should play the role of the “leader”, radiate and drive the moderately developed area to cross the inflection point of the U-shaped curve as soon as possible, and realize urbanization to promote the low-carbon development of agriculture. The compact intensive urbanization in-depth pattern has a significant positive impact on low-carbon agricultural TFP, while the scale expansion urbanization in-breadth pattern has the opposite effect. Low carbon technology advancement, rural labor transfer, scale effect, extension of agricultural industry chain and increase in disposable income of rural residents are the main ways through which urbanization affects low-carbon TFP in agriculture.

Key words: Urbanization, Agricultural Low-carbon TFP, Super-efficiency Ray Slacks-Based Measure Model, Night Light Data, Dynamic Spatial Durbin Model