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Farmers’ Livelihood Adaptability in Rural Tourism Destinations: An Evaluation Study of Rural Revitalization in China

Authors: Li, Huiqin; Guo, Tinghong; Nijkamp, Peter; Xie, Xuelian; Liu, Jingjing;

Farmers’ Livelihood Adaptability in Rural Tourism Destinations: An Evaluation Study of Rural Revitalization in China

Abstract

Rural tourism is one of the important ways to achieve rural revitalization and one of the choices for farmers to improve their viability. Therefore, the socio-ecological systems (SES) analysis framework and obstacle factor analysis can provide a new perspective for the evaluation of farmers’ behavior adaptation processes. In order to test the adaptation mechanisms of farmers’ lives in rural tourism destinations, we applied this analysis framework to Ying-Tao-Gou Village in China. The study found that the livelihood adaptation strategies of local farmers can be divided into the categories of “tourism livelihood”, “part-time livelihood”, “worker livelihood”, and “farming livelihood”. The livelihood adaptation of local farmers presented a relatively balanced picture. There were significant differences in the livelihood adaptability of different types of farmers, but tourism farmers had the strongest livelihood adaptability. There were various barriers to the livelihood adaptation of different types of farmers, such as household savings and education level. Finally, to improve the adaptability of farmers’ livelihoods, amendments can be made in policy formulation, tourism development, and by the farmers themselves. This study is of great significance for the government in formulating policies to improve people’s livelihoods, to stimulate the vitality of rural development, and to accelerate the development of rural revitalization.

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Keywords

Environmental effects of industries and plants, rural tourism, adaptive evaluation, TJ807-830, TD194-195, Renewable energy sources, Environmental sciences, farmers’ livelihood, the village of Ying-Tao-Gou, obstacle factor model, GE1-350

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Top 10%
gold