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Due to its alpine geography and harsh environment, the pastoral region of Qinghai Province is widely recognized as one of China’s concentrated and contiguous poverty-stricken regions, while climate change, market competition and grazing control exert further pressure on the income security of herders. After more than 1000 years of nomadic practice, cooperation and reciprocity have been entrenched in the culture of pastoral ethnic minorities, in which a well-developed social network may play a crucial role in herders’ social and economic activities, including their financial and production behaviors. Based on a questionnaire survey of 278 households in two counties of Qinghai, this study empirically examined the effects of herders’ social network on their livestock production income and the mediation function of fund loans therein. The social network was found to exert a significant positive impact on household income, and loans had a positive mediation effect. By comparison, the mediation effect of formal borrowing channels was statistically significant while that of informal channels was not, which may be attributed to the relative degree of maturity of the two disparate financial markets. It is suggested that a closer and more inclusive social network should be fostered, the quality of bank financial services should be improved, and the regulation on informal credit activities should be reinforced, so as to fully exploit the positive roles of the social network and fund loans for income growth of herder households in vast pastoral areas of China. Full article

The Chinese government aims to deal with poverty by 2020 for people living in ethnic and rural regions, including mountainous ethnic regions with the highest concentration of poverty and chronic poverty. Based on a sustainable livelihood Framework, five capitals and 33 evaluation indices of livelihood were built, and 13 counties’ resources of the Aba Tibetan and Qiang Autonomous Prefecture were compared in order to calculate the degree of poverty. Topographic factors index of settlement sites (TFIS) were constructed by eight topographic factors, and diagnoses of the dominant factors of differentiation of 2699 settlements were calculated by using the geographical detector model to establish the poverty alleviation policies and models for different regions. The results showed that the livelihood capital evaluation indices were different (0.56–1.88), and natural capitals (mean value 1.56) had obvious advantages, but physical (mean value 0.56), financial (mean value 0.78), and human capital were lower (mean value 0.93), limiting the rate of transforming the ecological resources advantage into the economy. In the TFIS, the settlement points indicate topographic factors of natural breakpoint classification superposition, including elevation, slope, relief amplitude, surface incision, variance coefficient in elevation, surface roughness, distance to roads, and distance to rivers. These are within the 8–34 range, and their power determinant value to TFIS are 0.02, 0.70, 0.77, 0.76, 0.51, 0.66, 0.06, and 0.09. Livelihood capital evaluation indices and TFIS classification one (8–14) are positively correlated, and negative correlation (22–26 and 27–34) is at the 0.05 level. The county's poverty alleviation measures and development under different livelihood indices and TFIS indicate that the ecotourism industry has become the inevitable choice for promoting rapid and coordinated development of economy, society, and the environment in ethnic regions. Full article