Study on the change of eco-efficiency of grassland animal husbandry under the perspective of spatio-temporal evolution

Shi Haixia; Li Jie; Xiu Changbai

doi:10.20154/j.cnki.issn1672-9692.2025.10.014

Abstract：In order to deeply analyze the law of spatial and temporal variation of eco-efficiency of grassland animal husbandry,the study used the super-efficiency EBM-Malmquist model combined with ArcGIS GIS,combined with the spatial and temporal variation of grassland cover,to analyze the spatial and temporal differences of eco-efficiency of animal husbandry in the eastern part of the Mengdong region from 2002 to 2020,and used the inputs of labor,technology,energy and land as the inputs.labor,technology,energy and land inputs were used as input variables,and the total output value of animal husbandry and NDVI were used as desired outputs and carbon emissions from animal husbandry were used as non-desired outputs.The eco-efficiency of grassland animal husbandry was measured from the perspective of inputs and outputs,and the spatial and temporal evolution of grassland geodynamics in Inner Mongolia was investigated by introducing the four-phase 1 km land type raster data.The results showed that the restoration effect of grassland geodynamics in grazed pastures was significant but the overall trend of grassland degradation was unavoidable.The overall development level of grassland eco-efficiency in Inner Mongolia showed a fluctuating upward trend,in which the eco-efficiency level showed a low peak in 2013,and the fastest increase in the development level in 2018-2020.Regional development differences are significant and there is a trend of expanding differences.The results of intra-regional eco-efficiency analysis show that technological progress is the main driving force for eco-efficiency improvement,but the role of technological efficiency improvement is weak,regional heterogeneity of the grassland eco-efficiency development level is caused by regional development bias,and the lagging law of economic development in the areas with superior natural capital still exists.