A Research on Diversified Applications of Technological Education in the Development of Rural District Community Development Associations

Lai, Jiin-Chyuan; Wang, Chiung-Ling; Hsieh, Ming-Yuan

doi:10.3390/engproc2023038018

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“…Additionally, through e-commerce platforms, agricultural products can be sold directly to broader markets, modernizing economic development methods and fostering sustainable agricultural and rural development [2]. Furthermore, digital-education resources, such as online courses, provide rural residents with new skills, enhance their knowledge, and improve the economic potential of their communities [3]. Digital governance platforms also increase the transparency of government services and simplify administrative processes, making it easier for rural residents to enjoy government services [4].…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Variations and Driving Factors of the Coupling and Coordination Level of the Digital Economy and Sustainable Rural Development: A Case Study of China

Nong,

Wen,

2024

Agriculture

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Sustainable rural development forms a robust foundation for economic and social sustainability. Moreover, the digital economy acts as a catalyst for advancing rural sustainable development by altering the distribution of production factors. Thus, this study concentrates on 30 provinces in China, constructing an evaluation index system for both the digital economy and rural sustainable development. The study employs various methods and models to analyze the spatiotemporal changes and driving factors affecting the coupling and coordination between these two aspects. The research findings are as follows: the coupling and coordination levels among provinces in China have been on the rise year by year. By 2022, the coupling and coordination levels of most provinces range between 0.5 and 0.6. Regional disparities are the primary determinant of the poor overall coupling and coordination level in China. In 2022, the coupling and coordination level in the eastern region is 0.6663, compared to 0.5420 in the central region and 0.5087 in the western region. Factors such as urbanization, industrial structure transformation, technological innovation, higher education, economic development, and government support significantly influence the coupling and coordination level. Nevertheless, their effects vary across regions, with a more pronounced impact in the eastern region than in the central and western regions. Therefore, this paper proposes policy recommendations, including infrastructure optimization, rural digitization promotion, regional resource allocation enhancement, cross-regional development mechanism exploration, and differentiated development strategy implementation.

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Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Variations and Driving Factors of the Coupling and Coordination Level of the Digital Economy and Sustainable Rural Development: A Case Study of China

Nong,

Wen,

2024

Agriculture

View full text Add to dashboard Cite

show abstract

A Research on Diversified Applications of Technological Education in the Development of Rural District Community Development Associations

Abstract: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

Cited by 1 publication

References 13 publications

Spatial-Temporal Variations and Driving Factors of the Coupling and Coordination Level of the Digital Economy and Sustainable Rural Development: A Case Study of China

Spatial-Temporal Variations and Driving Factors of the Coupling and Coordination Level of the Digital Economy and Sustainable Rural Development: A Case Study of China

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