The Digital Economy Promotes Rural Revitalization: An Empirical Analysis of Xinjiang in China

Lin, Zhu; Mei, Xuehui; Xiao, Zhengqing

doi:10.3390/su151612278

Cited by 5 publications

(3 citation statements)

References 22 publications

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“…To further analyze the key variables affecting the adaptation of farmers' livelihood transformation and identify the obstacle factors for improving the adaptation of farmers' livelihood transformation, existing studies have identified obstacle factors using concepts such as "factor contribution degree", "indicator deviation degree", and "obstacle degree" [46][47][48]. This research used an obstacle degree model to explore the obstacle factors of farmers' livelihood transformation adaptation.…”

Section: Quantitative Analysis Methodsmentioning

confidence: 99%

Response and Adaptation of Farmers’ Livelihood Transformation under the Background of Rural Transformation: Evidence from the Qinling Mountains, China

Yin,

Yang,

Chen

2023

Sustainability

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Adaptation provides a new perspective for the study of farmers’ livelihood transformation and sustainability. This research aimed to explore the influencing factors of different types and adaptation of farmers’ livelihood transformation during rural transformation. Based on summarizing the response of farmers’ livelihood transformation during the rural transformation process in the Qinling Mountains of China from 1990 to 2018, this research constructed an evaluation index system for the adaptation of farmers’ livelihood transformation. Through questionnaires and interview surveys and based on the classification of farmers’ adaptive behavior, the research measured the adaptation index of different types of farmers’ livelihood transformation during different rural transformation periods and analyzed the factors affecting the types and the adaptation of farmers’ livelihood transformation. The results showed that: ① From 1990 to 2018, the livelihood transformation of farmers in Shangzhou District of Qinling Mountains mainly experienced changes from the farming + the working oriented to the synthetic type + the working oriented. ② From 1990 to 2018, the adaptation index of farmers’ livelihood transformation increased significantly in growth. From 1990 to 2009, the adaptation index of farmers’ livelihood transformation of working oriented and synthetic type was relatively high and concentrated. The distribution of the adaptation index of farmers’ livelihood transformation in 2010–2018 was relatively scattered. ③ Farmers with richer social networks tended to choose comprehensive and diversified livelihoods. Farmers with richer financial and natural capital were more likely to choose non-agricultural livelihoods. Leadership potential and social network, livestock, income status, and actual cultivated area were the key variables that have been influencing the adaptation of farmers’ livelihood transformation in Shangzhou District since 1990. The research results contribute to the optimization of sustainable livelihood strategies for farmers in the Qinling Mountains of China and provide case references for the study of livelihood transformation of farmers in underdeveloped mountainous areas worldwide.

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Section: Quantitative Analysis Methodsmentioning

confidence: 99%

Response and Adaptation of Farmers’ Livelihood Transformation under the Background of Rural Transformation: Evidence from the Qinling Mountains, China

Yin,

Yang,

Chen

2023

Sustainability

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“…In terms of research method, the entropy weight method (EWM) is the most popular method commonly used in the literature [14,[22][23][24][25]. Meanwhile, some scholars use the analytic hierarchy process (AHP) [26] and principal component analysis (PCA) [27].…”

Section: Literature Reviewmentioning

confidence: 99%

Is China’s Rural Revitalization Good Enough? Evidence from Spatial Agglomeration and Cluster Analysis

Qu,

Zhang,

2024

Sustainability

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Rural revitalization is an indispensable part of sustainable economic development in China. This paper proposes a new index to capture and assess rural revitalization (RR) in terms of five dimensions, namely, thriving businesses, pleasant living environments, social etiquette and civility, effective governance, and prosperity. Using spatial and cluster analyses on annual data of 31 provinces, autonomous regions, and municipalities of China from 2010 to 2020, we find that: (1) China’s RR is growing year by year during the sample period, yet the overall level of RR is still low, with a national average of merely 0.47 in 2020, and that of the top province Jiangsu only 0.64; (2) The spatial distribution of RR in eastern provinces show high and high (HH) agglomeration, while that in northeastern and western provinces exhibit low and low (LL) agglomeration; and (3) The development level of RR is highly heterogeneous, suggesting that development disparities exist, and deserve the government’s attention. The study suggests some strategies for improving RR in China. In particular, the study sheds light on how to promote RR effectively for local governments to achieve sustainable economic development.

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“…Integrating digital network platforms, government and The core content revolves around promoting the sharing of rural labor [15]. With the aging population and rural "hollowing," the demand for living services is steadily increasing.…”

Section: Ensure An Amicable Living Environmentmentioning

confidence: 99%

Unlocking Rural Revitalization through the Digital Economy: A Journey of Exploration

Yuan

2024

SHS Web Conf.

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Digital economy, centered around information technology, encompasses digital content, digital industries, digital commerce, and represents a new global economic form. Its application can bring about new development opportunities and enhance efficiency. Rural revitalization is an important recent national strategy aimed at strengthening economic, social, and ecological aspects of rural development, promoting sustainable urban-rural integration. This involves the development of agriculture, rural infrastructure, the creation of beautiful rural landscapes, and ensuring the livelihood of rural residents. The digital economy plays a crucial role in rural revitalization, relying on information technology and employing digitalization, networking, and intelligence to drive industrial transformation, enhance efficiency, and promote innovation, thus forming a new economic model. Specifically in rural areas, the digital economy builds rural e-commerce platforms, offering new sales channels for farmers, creating smart agricultural ecosystems, establishing environmentally friendly foundations for sustainable agriculture, and upgrading rural financial services through digitization, optimizing the allocation of rural financial resources. This accelerates the digitization of rural tourism development and spurs the growth of surrounding rural service industries. Therefore, the digital economy holds significant practical importance for rural revitalization.

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The Digital Economy Promotes Rural Revitalization: An Empirical Analysis of Xinjiang in China

Cited by 5 publications

References 22 publications

Response and Adaptation of Farmers’ Livelihood Transformation under the Background of Rural Transformation: Evidence from the Qinling Mountains, China

Response and Adaptation of Farmers’ Livelihood Transformation under the Background of Rural Transformation: Evidence from the Qinling Mountains, China

Is China’s Rural Revitalization Good Enough? Evidence from Spatial Agglomeration and Cluster Analysis

Unlocking Rural Revitalization through the Digital Economy: A Journey of Exploration

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