Livelihood resilience and the generative mechanism of rural households out of poverty: An empirical analysis from Lankao County, Henan Province, China

Li, Erling; Deng, Qingqing; Zhou, Yang

doi:10.1016/j.jrurstud.2019.01.005

Cited by 61 publications

(56 citation statements)

References 45 publications

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“…Based on socio-ecological system theory, we infer that resilience is an attribute of the livelihood system and reflects the performance of affected families in responding to risk, absorbing interference, and restoring and maintaining livelihoods, during the stage of response and resistance. The idea of resilience emphasizes the active resistance and response of the system over vulnerability and adaptability [103,104]. The equation of the LRM framework inspired by Hooke's law is logically consistent with the definition of livelihood resilience, and the solution of the equation can represent the response and resistance characteristics of the system itself.…”

Section: Advantages Of the Lrm Frameworkmentioning

confidence: 95%

“…First, the LRM framework provides a fresh look at definitions of livelihood resilience and its measurement. After combing the literature, we can divide the concept of resilience into two categories: one is described as a capacity, referring to the dynamic process of subject or system recovery, self-improvement, adapting to the environment, or changing the environment [26,39,102,103]; the other is regarded as an attribute used to describe the performance of a system to absorb disturbance and reorganize while undergoing change, so as to still retain essentially the same function, structure, identity, and feedbacks [43]. Based on socio-ecological system theory, we infer that resilience is an attribute of the livelihood system and reflects the performance of affected families in responding to risk, absorbing interference, and restoring and maintaining livelihoods, during the stage of response and resistance.…”

Section: Advantages Of the Lrm Frameworkmentioning

confidence: 99%

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A Livelihood Resilience Measurement Framework for Dam-Induced Displacement and Resettlement

Gong

Zhang

Yao

et al. 2020

Water

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The concepts of resilience and livelihood resilience are growing in prominence with water resource development that aims to measure and build resilience to specific disturbances and shocks. However, practical frameworks to measure livelihood resilience are needed, not just a theoretical framework. In this paper, we introduce the livelihood resilience measurement (LRM) framework, which draws on Hooke’s law; use the state vector method to calculate livelihood resilience scores; and test the effectiveness of the method by correlation analysis. We illustrate the framework by using it to measure livelihood resilience in Henan Province, China, and assess the strategies that build livelihood resilience. The advantages and limitations of the framework are explored and discussed by drawing on empirical examples. Besides illustrating how to apply the LRM framework in a practical case, we discuss how to communicate with stakeholders to identify and strengthen the factors that build resilience. In this study, land ownership, housing and property value, and emergency cost are the most significant of these factors. Thus, the LRM framework has the potential to help reservoir-affected families protect their livelihood capital and to help governments improve social welfare. It can thus serve as a tool for monitoring and improving the effectiveness of policies and practices aimed at building livelihood resilience.

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Section: Advantages Of the Lrm Frameworkmentioning

confidence: 95%

Section: Advantages Of the Lrm Frameworkmentioning

confidence: 99%

A Livelihood Resilience Measurement Framework for Dam-Induced Displacement and Resettlement

Gong

Zhang

Yao

et al. 2020

Water

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“…It is a time-bound assessment of the state of a system that can be varied in response to new circumstances. Livelihood resilience can be understood as a “capacity” in accordance with the connotation of resilience, holding that it refers to the ability of a family to respond and adapt to socio-economic and environmental changes by restoring itself from disturbances, learning from changes, and restructuring life and production [ 26 ]. Based on the impact of tourism exploitation on the destination community, we aim to use the concept of livelihood resilience to identify whether rural residents could change their ability insufficiency and show increased enthusiasm for tourism participation.…”

Section: Introductionmentioning

confidence: 99%

Livelihood Resilience or Policy Attraction? Factors Determining Households’ Willingness to Participate in Rural Tourism in Western China

Dang

Ren

2022

IJERPH

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Rural tourism in developing countries has been regarded as a means for rural development, environment conservation and poverty alleviation. This study aims to examine the determining factors for rural households’ willingness to participate in rural tourism in western areas under the context of China’s rural revitalization strategy. Based on survey data from 22 tourism poverty alleviation villages located in the poor areas of western China, we characterize our results by stating that rural households’ livelihood resilience “push” on their willingness to participate, and that poverty alleviation policy perception and involvement “pull” on it. Among distinct livelihood adaptive strategy groups, i.e., farming-oriented households, migratory-oriented households and tourism-participating households, this study also revealed that buffer capacity was a significant driving force for the three types of household’s willingness. Positive poverty alleviation policy perception could attract migratory households to return to their hometowns to start tourism businesses; however, better self-organizing capacity decreased their willingness. In addition, both self-organization and learning capacity and positive policy perception and involvement encouraged tourism-participating households to engage in tourism activities continually. Finally, some practical implications and recommendations for further research are also discussed.

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“…Under the influence of the external environment, the combination and use of households' human capital, natural capital, physical capital, financial capital, and social capital affect the choice of livelihood strategies and, ultimately, the output of livelihood outcomes [10,11]. Livelihood research has covered many fields, with a strong focus on livelihood vulnerability [12,13], livelihood resilience [14][15][16], livelihood sustainability [17], livelihood diversification [18,19], livelihood security [20,21], livelihood capital and livelihood strategy analysis [22][23][24][25][26], household livelihood and the environment [27,28], and livelihood transitions [29][30][31]. Forest restoration, climate anomalies, and transport infrastructure and investment can influence household livelihoods.…”

Section: Introductionmentioning

confidence: 99%

The Nexus between Rural Household Livelihoods and Agricultural Functions: Evidence from China

Liu

Fang

2021

Agriculture

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Understanding the relationship between households’ livelihoods and agricultural functions is important for regulating and balancing households’ and macrosocieties’ agricultural functional needs and formulating better agricultural policies and rural revitalization strategies. This paper uses peasant household survey data obtained from the China Family Panel Studies (CFPS) and statistical analysis methods, to analyze the differences in livelihood assets and agricultural functions of households with different livelihood strategies and the relationship between livelihood assets and agricultural functions. Households are categorized based on their livelihood strategies as full-time farming households, part-time farming I households, part-time farming II households, and non-farming households. The agricultural product supply and negative effects of the ecological service function of full-time farming households are higher than those of part-time farming and non-farming households. Part-time farming I households have the strongest social security function, while non-farming households have the weakest social security function. Non-farming households have the strongest leisure and cultural function, while part-time farming I households have the weakest leisure and cultural function. Households’ demand for agricultural functions is affected by livelihood assets. Effective measures should be taken to address contradictions in the agricultural functional demands of households and macrosocieties.

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Livelihood resilience and the generative mechanism of rural households out of poverty: An empirical analysis from Lankao County, Henan Province, China

Cited by 61 publications

References 45 publications

A Livelihood Resilience Measurement Framework for Dam-Induced Displacement and Resettlement

A Livelihood Resilience Measurement Framework for Dam-Induced Displacement and Resettlement

Livelihood Resilience or Policy Attraction? Factors Determining Households’ Willingness to Participate in Rural Tourism in Western China

The Nexus between Rural Household Livelihoods and Agricultural Functions: Evidence from China

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