%0 Journal Article %A Xiao Feng %A Xingmin Shi %A Yi Fan %A Xieyang Chen %T Livelihood Vulnerability and its Influencing Factors of Geographical Indication Agricultural Products Growers: A Case Study of Mei County and Zhouzhi County, Shaanxi Province %D 2022 %R 10.13249/j.cnki.sgs.2022.11.013 %J SCIENTIA GEOGRAPHICA SINICA %P 1986-1995 %V 42 %N 11 %X

Geographical indication agricultural products play a significant role in promoting the greener and high-quality development of agriculture, rural revitalization and improving the livelihoods of growers. The increase in climate change and extreme weather events may exacerbate the livelihood vulnerability of geographical indications growers. This study takes the geographical indication agricultural products kiwifruit planting area as an example. A livelihood vulnerability assessment framework combining with the entropy method and the Jenks natural break method were used to assess the livelihood vulnerability of growers. Ordinal Logistic regression and Shapley value decomposition method were used to explore the influencing factors and their contribution to the livelihood vulnerability of the growers, respectively. The results show that: 1) The proportion of growers in the middle and high vulnerability levels is relatively large, accounting for about 64.10%. 2) The contribution rate of the production characteristics of the growers to the livelihood vulnerability level is 48.47%. Whether to use geographical indication trademarks, whether to participate in geographical indication trademark training, and whether to adopt cooperative production has a significant impact on the livelihood vulnerability of growers. 3) In terms of planting characteristics of growers, planting time has a significant impact on the level of growers’ livelihood vulnerability, with a contribution rate of 12.20%. 4) In terms of the intensity of adaptation behavior, the adoptive intensity of continuous autumn rain has a significant impact on the livelihood vulnerability of kiwifruit growers, with a contribution rate of 20.75%.

%U http://geoscien.neigae.ac.cn/EN/10.13249/j.cnki.sgs.2022.11.013