Changes in Livestock Grazing Efficiency Incorporating Grassland Productivity: The Case of Hulun Buir, China | Land Portal
Land Journal Volume 9 Issue 11 cover image

Resource information

Date of publication: 
November 2020
Resource Language: 
ISBN / Resource ID: 
License of the resource: 
Copyright details: 
© 2020 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article.

Recently, improving technical efficiency is an effective way to enhance the quality of grass-based livestock husbandry production and promote an increase in the income of herdsmen, especially in the background of a continuing intensification of climate change processes. This paper, based on the survey data, constructs a stochastic frontier analysis (SFA) model, incorporates net primary productivity (NPP) into the production function as an ecological variable, refines it to the herdsman scale to investigate grassland quality and production capacity, and quantitatively evaluates the technical efficiency of grass-based livestock husbandry and identifies the key influencing factors. The results show that the maximum value of technical efficiency was up to 0.90, and the average value was around 0.53; the herdsmen’s production gap was large and the overall level was relatively low. Additionally, the lack of forage caused by drought was the key factor restricting the current grass-based livestock husbandry production level, and the herdsmen’s adaptive measures, mainly represented as “purchasing forage” and “selling livestock”, had a positive significance for improving technical efficiency. Based on this, expanding the planting area of artificial grassland, improving the efficiency of resource utilization, and enhancing the supply capacity of livestock products while ensuring the ecological security of grassland are effective ways to increase the production level of grass-based livestock husbandry in Hulun Buir.

Authors and Publishers

Author(s), editor(s), contributor(s): 

Zhao, Zhe
Bai, Yuping
Deng, Xiangzheng
Chen, Jiancheng
Hou, Jian
Li, Zhihui


Data provider

Share this page