Livelihood sustainability and livelihood intervention of out-of-poverty farming households in poor mountainous areas: A case of Longnan mountainous area

Zhao, Xueyan; Liu, Jianghua; Lan, Haixia; Ma, Pingyi; Du, Yukai

doi:10.18306/dlkxjz.2020.06.009

Cited by 11 publications

(12 citation statements)

References 8 publications

(8 reference statements)

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“…This method, derived from experimental science, was first introduced to a social-science context by [92] and has gained popularity in research on carbon-emission reductions [93], tourism ecological safety [47], urban ecological safety [86], sustainable agricultural development [94], and the development of ecological and economic systems [23]. Recently, the approach has been used to classify and diagnose livelihood obstacles that impact farmers lifted out of poverty with low livelihood sustainability [84]. To the best of our knowledge, the obstacle factors diagnosis method has not been employed in a relocated tourism community.…”

Section: Evaluation Methods and The Obstacle Factors Diagnostic Modelmentioning

confidence: 99%

Diagnosis of the Livelihood Sustainability and Its Obstacle Factors for Poverty-Alleviation-Relocation Residents in Tourism Communities: Data from China

et al. 2023

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Many poverty−alleviation−relocation projects in China resort to tourism to sustain immigrants’ livelihood in new communities. However, how tourism contributes to poverty elimination and maintaining gains is yet to be discovered. Based on the sustainable livelihood concept, this study constructs a three-dimensional index system to evaluate livelihood sustainability and identify potential factors in three relocated tourism communities. Results show that most resettled residents have median-level livelihood sustainability. Livelihood capital, strategies, and environment contribute to livelihood sustainability in decreasing order. Regarding livelihood modes, tourism−led livelihood takes the first position in terms of supporting livelihood sustainability, followed by outside−work−led, local−work−led, and government subsidy−led livelihoods. Regarding obstacle factors, annual household income, number of household workers, and education levels are shared by relocated households across different livelihood modes. Aside from policy suggestions on survey sites, this study provides a holistic framework and enlightens the generalizable paradigm to the analysis of sustained livelihood via tourism development in relocated communities.

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Section: Evaluation Methods and The Obstacle Factors Diagnostic Modelmentioning

confidence: 99%

Diagnosis of the Livelihood Sustainability and Its Obstacle Factors for Poverty-Alleviation-Relocation Residents in Tourism Communities: Data from China

et al. 2023

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“…MO smallholders are exposed to the highest level of dynamic context (0.61) followed by TPM (0.60) and MPT [45]. Furthermore, MO smallholders perceive the least disturbance from market-oriented institution transformation (0.47) compared to other three groups, indicating that the agritainment operation of MO is a type of market behavior and depends less on government support [35].…”

Section: Livelihood Vulnerability Of the Four Livelihoods Groupsmentioning

confidence: 98%

“…Specifically, referring to the calculation method for the adaptation capability index [34,35], three contributing factors of resilience (i.e., BC, SOC, and LC) were combined to calculate the Ada Cap i using Eq. ( 3):…”

Section: Data Collectionmentioning

confidence: 99%

An Assessment of Livelihood Vulnerability of Tourism Smallholders in the Upper Reaches of Yihe River, China

Yu,

Liang,

et al. 2023

Pol. J. Environ. Stud.

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Livelihood vulnerability inquiries in their current form prove insufficient in accounting for the dynamic aspects of livelihoods. In consideration of the generally adopted "Scenic spots + communities + smallholder" tourism development model in rural revitalization in China, a Tourism Livelihood Vulnerability Index (TLVI) was developed to estimate the vulnerability of tourism smallholders in the upper reaches of Yihe River, China. Data was collected from 524 smallholders and 7 tourism villages. The statistical results showed that the livelihood strategies of smallholders in tourism destination communities can be divided into four categories: Tourism -oriented (TO), Tourism and part-time migrant work (TPM), Migrant work and part -time tourism (MPT), and Migrant work -oriented (MO). The TLVI showed significant disparities among four livelihood groups, with MPT smallholders emerging as the most vulnerable, sensitive, and least adaptive. In contrast, TO smallholders displayed the least sensitivity, exposure, TLVI, and the highest adaptive capacity. The result suggested that low diversity degree livelihoods are less vulnerable than high diversity degree livelihoods in rural transformation. The contributing factors of the household livelihood vulnerability were highly community -household livelihood strategy specific. Four recommendations were at household and community level to enhance livelihood resilience and reduce vulnerability. The TLVI contributes to a better understanding of the livelihood vulnerability characteristic of household tourism operation systems in the context of tourism-guided rural transformation.

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“…The research results of Mondal et al, show that the tourism-oriented transfer of FLS contributes to the outcome of FLS [38]. In addition, livelihood capital is a prerequisite for farmers' livelihood activities and plays a supporting role in the formation of FLS [39][40][41][42][43]. Farmers seek the best livelihood strategies by combining different types of capital to maintain their livelihood security [44,45].…”

Section: Introductionmentioning

confidence: 99%

Differential Evolution of Farmers’ Livelihood Strategies since the 1980s on the Loess Plateau, China

Xin-jun

Zhang

et al. 2022

Land

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Understanding the evolution of farmers’ livelihood strategies (FLS) is crucial for maintaining the sustainable development of farmers’ livelihoods, especially on the arid Loess Plateau, China. This study constructed a novel analytical framework for analyzing the evolution of FLS and the critical influencing factors. Changwu County, an apple cultivation region, was selected as a case study. The results suggest that four types of livelihood strategies (crop-planting, apple-planting, work-oriented, and part-time comprehensive) have emerged since the 1980s. The evolutionary process of leading FLS varies across geographic location. In the loess tableland region and economic fringe region, this evolution followed a progressive path from the crop-planting type to the apple-planting type to the work-oriented type, while in the loess gully region, loess ridge region, and economic core region, FLS jumped directly from the crop-planting type to the work-oriented type. The geographic location, training opportunities, garden area, cultivated land area, production and living materials, loan opportunities, and education level were found to be the critical factors influencing the differentiation and development of FLS. The analytical framework proposed here is also applicable for studying the evolution of FLS in other counties on the Loess Plateau, considering the representativeness of the selected case.

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Livelihood sustainability and livelihood intervention of out-of-poverty farming households in poor mountainous areas: A case of Longnan mountainous area

Cited by 11 publications

References 8 publications

Diagnosis of the Livelihood Sustainability and Its Obstacle Factors for Poverty-Alleviation-Relocation Residents in Tourism Communities: Data from China

Diagnosis of the Livelihood Sustainability and Its Obstacle Factors for Poverty-Alleviation-Relocation Residents in Tourism Communities: Data from China

An Assessment of Livelihood Vulnerability of Tourism Smallholders in the Upper Reaches of Yihe River, China

Differential Evolution of Farmers’ Livelihood Strategies since the 1980s on the Loess Plateau, China

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