Snow disaster is one of the most influential and devastating natural disasters with the serious losses in the Qinghai-Tibet Plateau, but its impact on rural residents’ livelihood does not get enough attention from scholars. This study evaluates the index of snow disasters (SI) and multi-dimensional livelihood index (MLI), and constructs an assessment framework of the impact of snow disaster on the livelihood capital of rural residents. The results indicate that: (1) SI in Shigatse Prefecture presented a downward trend from 1980 to 2014, but the peak interval shrunk; the high disaster areas located in the north, west and south as well as the low in the center and east. (2) The livelihood capital of rural resident showed an upward trend with an average annual growth rate of 6%, and was in a state of spatial agglomeration. (3) The significant negative effects of SI on each capital from largest to smallest are financial capital, physical capital, human capital, social capital and natural capital. (4) The 18 counties were divided into four groups, namely the high-disaster high-capital group, the high-disaster low-capital group, the low-disaster high-capital group and the low-disaster low-capital group. According to the panel regression, agricultural and meteorological fiscal inputs, road construction and educational input have positive influence on livelihood capital, but the effects vary in different groups. Accordingly, we propose that more effective policies should be adopted to mitigate the negative effects of snow disasters.

雪灾是青藏高原最严重，影响最大的自然灾害之一，损失惨重，但其对农村居民生计的影响尚未引起学者的足够重视。本研究评估了雪灾指数（SI）和多维生计指数（MLI），并构建了雪灾对农村居民生计资本影响的评估框架。结果表明：（1）日喀则地区SI从1980年到2014年呈下降趋势，但高峰区间缩小。北部，西部和南部是高灾区，中部和东部是低灾区。（2）农村居民的生计资本呈上升趋势，年均增长6％，处于空间集聚状态。（3）SI对每种资本的显着负面影响是金融资本，实物资本，人力资本，社会资本和自然资本。（4）将18个县分为高灾害高资金组，高灾害低资金组，低灾害高资金组和低灾害低资金组四个组。根据面板回归，农业和气象财政投入，道路建设和教育投入对民生资本具有积极影响，但不同群体的影响不同。因此，我们建议应采取更有效的政策来减轻雪灾的负面影响。社会资本和自然资本。（4）将18个县分为高灾害高资金组，高灾害低资金组，低灾害高资金组和低灾害低资金组四个组。根据面板回归，农业和气象财政投入，道路建设和教育投入对民生资本具有积极影响，但不同群体的影响不同。因此，我们建议应采取更有效的政策来减轻雪灾的负面影响。社会资本和自然资本。（4）将18个县分为高灾害高资金组，高灾害低资金组，低灾害高资金组和低灾害低资金组四个组。根据面板回归，农业和气象财政投入，道路建设和教育投入对民生资本具有积极影响，但不同群体的影响不同。因此，我们建议应采取更有效的政策来减轻雪灾的负面影响。农业和气象财政投入，道路建设和教育投入对民生资本具有积极影响，但不同群体的影响不同。因此，我们建议应采取更有效的政策来减轻雪灾的负面影响。农业和气象财政投入，道路建设和教育投入对民生资本具有积极影响，但不同群体的影响不同。因此，我们建议应采取更有效的政策来减轻雪灾的负面影响。