中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Attributes of Specialized Households' Resilience and Its Impact on Rural Industrial Advancement: A Case Study of National Musical Instrument Production Specialized Households in Lankao County, Henan, China

文献类型:期刊论文

作者Wu, Nalin3; Wei, Yike3; Fan, Sizhe2,3; Li, Li1; Sun, Yufan3; Zhang, Yan3; Shu, Yan3
刊名CHINESE GEOGRAPHICAL SCIENCE
出版日期2024-06-01
卷号34期号:3页码:383-400
关键词resilience specialized households rural industry Lankao County, China
DOI10.1007/s11769-024-1428-7
产权排序3
文献子类Article
英文摘要Specialized households serve as the primary units within specialized villages in China, and their capacity to withstand risks and external influences significantly shapes the future trajectory of specialized villages and the overall vitality of the rural economy. In this study, we established a measurement indicator system based on the definition of specialized households' resilience, elucidating the logical connection between specialized households' resilience and rural industrial development in China. The musical instrument industry in Lankao County, Henan Province of China, was employed as a case; survey data, the entropy method, and an obstacle diagnosis model were used to examine how instrument production specialized households responded to the challenges posed by Corona Virus Disease 2019 (COVID-19) and the tightening of national environmental protection policies, yielding the following key findings: 1) there exists substantial variation in the comprehensive resilience levels among different specialized households; 2) the ability to learn and adapt is the most significant contributor to the overall resilience level of specialized households; 3) technological proficiency and access to skilled talent emerge as pivotal factors influencing specialized households' resilience; 4) the positioning of specialized households within the industrial supply chain and the stability of their income have a direct bearing on their resilience level. The influence of specialized households' resilience on industrial development primarily manifests in the following ways: stronger resilience correlates with increased stability in production and sales, fostering a more proactive approach to future actions. However, heightened exposure to the external macroeconomic environment can lead to a higher rate of export reduction. To enhance the development resilience of entities like specialized households and family farms, and to invigorate rural economic development, escalating investments in rural science and technology and prioritizing the training of technical talent become imperative.
WOS关键词CHALLENGES ; SHOCKS ; SCALE
WOS研究方向Environmental Sciences & Ecology
WOS记录号WOS:001223858100009
源URL[http://ir.igsnrr.ac.cn/handle/311030/205156]  
专题生态系统网络观测与模拟院重点实验室_外文论文
通讯作者Wu, Nalin; Li, Li
作者单位1.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modelling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China
3.Henan Univ, Coll Geog & Environm Sci, Key Lab Geospatial Technol Middle & Lower Yellow R, Minist Educ, Kaifeng 475001, Peoples R China
推荐引用方式
GB/T 7714
Wu, Nalin,Wei, Yike,Fan, Sizhe,et al. Attributes of Specialized Households' Resilience and Its Impact on Rural Industrial Advancement: A Case Study of National Musical Instrument Production Specialized Households in Lankao County, Henan, China[J]. CHINESE GEOGRAPHICAL SCIENCE,2024,34(3):383-400.
APA Wu, Nalin.,Wei, Yike.,Fan, Sizhe.,Li, Li.,Sun, Yufan.,...&Shu, Yan.(2024).Attributes of Specialized Households' Resilience and Its Impact on Rural Industrial Advancement: A Case Study of National Musical Instrument Production Specialized Households in Lankao County, Henan, China.CHINESE GEOGRAPHICAL SCIENCE,34(3),383-400.
MLA Wu, Nalin,et al."Attributes of Specialized Households' Resilience and Its Impact on Rural Industrial Advancement: A Case Study of National Musical Instrument Production Specialized Households in Lankao County, Henan, China".CHINESE GEOGRAPHICAL SCIENCE 34.3(2024):383-400.

入库方式: OAI收割

来源:地理科学与资源研究所

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