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Research on measurement and influencing factors of ecological efficiency in grassland animal husbandry in China.

Authors :
LI Hong-li
Source :
Feed Research. 2024, Vol. 47 Issue 20, p178-182. 5p.
Publication Year :
2024

Abstract

Objectively evaluating the ecological efficiency of grassland animal husbandry is an important link in promoting sustainable and modern agricultural development. Select 30 provincial panel data from 2013 to 2022, and use the super efficiency SBM Undesirable model and Tobit model to verify the ecological efficiency and influencing factors of grassland animal husbandry in China. The results showed that during the research period, the overall ecological efficiency of grassland animal husbandry in China showed a fluctuating upward trend, and there is still significant room for improvement. The ecological efficiency of grassland animal husbandry in China shows obvious spatial non-equilibrium characteristics, with the highest in the eastern region, followed by the northeast and central regions, and the lowest in the western region. The level of economic development, urbanization rate, financial support, labor productivity of grassland animal husbandry, and infrastructure construction in rural areas can significantly improve the ecological efficiency of grassland animal husbandry in China. Among them, the promotion effect of infrastructure construction in rural areas is the most significant. Based on this, policy recommendations are proposed to focus on cultivating new types of grassland animal husbandry operators, vigorously promoting infrastructure construction in rural areas, and implementing differentiated grassland animal husbandry development strategies, in order to provide reference for improving the ecological efficiency of grassland animal husbandry in China. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
10022813
Volume :
47
Issue :
20
Database :
Academic Search Index
Journal :
Feed Research
Publication Type :
Academic Journal
Accession number :
181667112
Full Text :
https://doi.org/10.13557/j.cnki.issn1002-2813.2024.20.033