2017
DOI: 10.6090/jarq.51.259
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Factors Affecting Herdsmen’s Grassland Transfer in Inner Mongolia, China

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Cited by 9 publications
(10 citation statements)
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“…The former refers to short periodic deferments (usually a month) from grazing, which allows grassland to gain vegetation. The latter refers to dividing grassland into specified parcels for each season according to water availability, grass quality and climate (Du et al, 2017). These grazing modes are beneficial to the restoration of grassland, which increases the livestock carrying capacity and livestock numbers.…”
Section: Theoretical Frameworkmentioning
confidence: 99%
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“…The former refers to short periodic deferments (usually a month) from grazing, which allows grassland to gain vegetation. The latter refers to dividing grassland into specified parcels for each season according to water availability, grass quality and climate (Du et al, 2017). These grazing modes are beneficial to the restoration of grassland, which increases the livestock carrying capacity and livestock numbers.…”
Section: Theoretical Frameworkmentioning
confidence: 99%
“…Achieving grassland transfer via rental markets serves as a tool to reduce grassland fragmentation (Tan et al, 2017) and to promote efficient production (Du et al, 2017;Lai and Li, 2012;Liu et al, 2019). As economic development and urbanization in China progresses, an increasing share of the labour force from pastoral areas is transitioning to employment in non-agricultural sectors.…”
Section: Introductionmentioning
confidence: 99%
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“…Thus, we specifically selected grassland area (x 1 ), labor (x 2 ), capital (x 3 ), and NPP (x 4 ) as input indicators and the output of total meat (Y) as output indicator. As for the key influencing factors of technical efficiency, the existing research mainly includes the aspects of herdsmen's age, household size, education level, income, and grazing capacity [49][50][51]. Additionally, related research has pointed out that climate factors (like temperature and precipitation) can also have a significant impact on technological efficiency.…”
Section: Indicator Systemmentioning
confidence: 99%