Abstract:

Considering the carbon emission constraint, taking agricultural carbon emission as the undesired output, Global Malmquist-Luenberger index model was used to measure the agricultural green total factor productivity(AGTFP) in 11 cities in Jiangxi Province from 2011 to 2020. Then the temporal and spatial evolution pattern was analyzed, and also the possible driving sources were explored. The results showed that the AGTFP in Jiangxi province was stable from 2011 to 2016, while from 2018 to 2020, it reached new high points after experiencing the low point in 2017. There were obvious differences in different regions, Yingtan had the highest AGTFP, followed by Nanchang, Jiujiang, while Fuzhou has the lowest AGTFP. The change of AGTFP was mainly driven by technological progress from 2018, and the contribution of scale efficiency to technological efficiency was gradually reduced. In the future, it is of vital importance to optimize the agricultural industrial structure, the allocation of resource factors such as agricultural technical personnel, agricultural capital input, water resources and land use, and promote the green and low-carbon development of agriculture through agricultural technological innovation.

Key words: Jiangxi Province, agricultural green total factor productivity, Global Malmquist-Luenberger index, spatiotemporal evolution