Does poverty-alleviation-based industry development improve farmers'livelihood capital?

Targeted poverty alleviation is a unique approach adopted in China to help achieve the vision of a moderately prosperous society in all aspects and the"Chinese Dream".Industrial development as a means of poverty alleviation is an integral part of the"Five-pronged Poverty Alleviation Measures"Project of targeted poverty alleviation,and a critical foundation for other poverty alleviation measures.In this study,a comprehensive evaluation method was used to measure farmers'livelihood based on the framework of sustainable livelihood.Specifically,the effects of industrial development on farmers'livelihood capital were estimated by employing the propensity score matching combined with the difference-in-differences(PSM-DID)approach.Findings suggest that industrial development had a significantly positive effect on the livelihood capital of farmers.Industrial development can significantly enhance farmers'human,social and financial capital,while it cannot significantly affect the natural and physical capital.Industrial development had heterogeneous effects on farmers'livelihood capital,more efficiently impacting on the non-poor than the poor.The effects on farmers'livelihood capital varied across regions,with Guizhou experiencing a larger effect than Sichuan.However,the effect was insignificant for farmers in Gansu.To improve farmers'livelihood capital,it is necessary to take measures to strengthen their human capital,promote the innovation of financial products,and make good use of their social capital;it is also essential to strengthen the support of industrial development to the poor.

Evaluating the Influence of Sea Level Rise on Beel Kapalia’s Livelihood and Local Adaptation Strategies: Perspectives from the Local Community

Bangladesh is vulnerable to climate change-induced sea level rise due to its location and socioeconomic position. The study examines the Beel Kapalia region in polder no. 24 of the Monirampur upazila of Jessore district, Khulna division. To assess local attitudes on sea level rise-related permanent flooding, Kapalia, Monoharpur, Nehalpur, Balidaha, and Panchakori were polled. This flooding has disrupted residents’ lifestyles, making them vulnerable to increasing sea levels. Viability and adaptability were assessed using livelihood capitals. Participants’ thoughts and knowledge about their resilience in several livelihood factors were gathered using participatory rural appraisal (PRA) instruments and a questionnaire survey in the area. Major discoveries include the impact of permanent floods on Beel Kapalia’s livelihoods, vulnerability and resilience assessments in numerous villages, and community viewpoints on regional adaptation methods to mitigate these consequences. The study found that a sustained 30.5 cm inundation would reduce local human, natural, physical, financial, and social capital resilience to 69.6%, 30.7%, 69.1%, 68.9%, and 69.1%. A constant 61 cm inundation would lower resistance to 40.9%, 8.7%, 42.4%, 45.6%, and 43.8%. Residents believe they can weather a 30.5 cm inundation with local adaptation measures, but if the water level rises to 61 cm, they may be displaced.

Optimal livelihood strategy for different poverty groups among farmers: a case study of the Qin-Ba Mountain area in South-Shaanxi, China

Achieving sustainable livelihood is the ultimate goal of poverty alleviation efforts in mountainous areas,and selecting an optimal livelihood strategy for different poverty-type farmers greatly improves farmers’livelihood capital,resists livelihood risks,and promotes sustainable development.For farmers,optimal livelihood strategy means better employment opportunities,higher family income(or better income structure),and stronger employability or development potential.This paper classifies different types of farmers’poverty on the basis of a quantitative evaluation of farmers’livelihood capital in the Qin-ba Mountain Area in South-Shaanxi by using the k-means clustering method and subsequently the fuzzy evaluation method to evaluate the effectiveness of farmers’livelihood strategies.Then,the multi-attribute decision-making model is used to analyze the selection of optimal livelihood strategies for different poverty-type farmers.The results suggest a significant difference in the selection of the optimal livelihood strategy for different poverty-type farmers.Farmers without financial and human capital choose to"go out to work,"farmers lacking natural capital choose to"acquire social insurance and government relief,"farmers without physical capital choose to"use loans,"and farmers lacking social capital choose to"use savings."Studying the selection of optimal livelihood strategies for different poverty-type farmers can help to propose targeted sustainable livelihood optimization programs for farmers and accelerate efforts to overcome poverty in mountainous areas.