Poverty is widely recognized as a multifaceted concept and has been extensively studied. However, less research has been conducted to explore multidimensional poverty in China. This article aims to investigate the measurements and determinants of multidimensional poverty in mountainous areas of Southeast China. The Alkire–Foster method and a logistic regression modeling technique are applied to examine multidimensional poverty and its determinants, respectively. Four dimensions (income, education, health, and living standards) and eight indicators are considered for the measurements of multidimensional poverty. By interviewing 198 rural households in Shouning County, Fujian Province of China, the article reveals about sixty percent of the sample households are found to experience multidimensional poverty, which is remarkably higher than previous studies. Deprivation in four dimensions is not homogeneous. The incidence of deprivation in education and health dimension are remarkably higher than dimensions of income and living standards. Results also reveal that health (34.27%) and education (27.45%) are the two most important contributors of multidimensional poverty, which jointly account for 61.72% of overall poverty. Living standards (23.25%) and income (15.03%) are the other two important contributors of multidimensional poverty. The important determinants of multidimensional poverty are the number of chronic patients, dependency ratio, elevation, and information accessibility. The results confirm that chronic disease or disability is the key determinant of poverty in rural areas of China. The study suggests that policy focus of poverty alleviation should be changed from income growth to health and education improvement. The provision and accessibility of health care services in rural areas need to be emphasized. Future research should focus on the heterogeneity of multidimensional poverty in China to expound the spatial difference and household difference in multidimensional poverty.

Wild boar (Sus scrofa) seriously threatens agricultural production and rural livelihoods worldwide. Human-wild boar conflict has become an important research topic. We investigated the impact of wild boars on local livelihoods and rural community’s responses to the impact, based on a case study in Fu’an City, Fujian Province, Southeast China. We conducted a questionnaire survey of 152 rural households in six villages of Fu’an City. Results demonstrated that the overall impact of wild boars on livelihoods was significant; however, there was impact heterogeneity depending on the mentioned factors. The impact lied on the scale of agricultural output value and the extent of livelihood dependency on susceptible crops. Different impacts resulted in discrepant countermeasures of rural households in dealing with wild boars. The magnitude of economic losses caused by wild boars to a great extent determined the selection of prevention measures. Rural households with more economic losses tend to adopt costly and effective prevention measures, such as fencing and human guarding. Recommendations were put forward to address the human-wild boar conflicts in China.