An Analytical Framework on Utilizing Natural Resources and Promoting Urban–Rural Development for Increasing Farmers’ Income Through Industrial Development in Rural China

• Main Authors: Chen, M. (Author), Deng, X. (Author), Dong, J. (Author), Liu, Y. (Author), Shi, W. (Author), Song, W. (Author), Sun, Z. (Author), Wang, G. (Author), Yue, T. (Author)
• Format: Article
• Language: English
• Published: Frontiers Media S.A. 2022
• Subjects: framework; integrated urban–rural development; people enrichment; prosperous industrial development; resource guarantee; rural revitalization
• Online Access: View Fulltext in Publisher

 Lucid waters and lush mountains are invaluable assets. The countryside is an important carrier of these assets, and rural revitalization is a national strategy to meet the needs of the people. This study constructs the framework system for improving the efficiency of resource utilization, refining the effect of urban–rural integration, and optimizing the efficiency of industrial development for increasing farmers’ income. The challenges facing rural revitalization are clarified, especially including limited space for the growth of cultivated land quantity and significant challenges for quality improvement, insufficient effective supply of labor resources, uneven spatial distribution of water resources, low utilization efficiency of agricultural water resources, and so on. Finally, it puts forward the possible direction of future policies for rural revitalization, which is mainly reflected in the transformation of resource utilization efficiency improvement from single element to multi-element, the development of an urban–rural integration effect from extensive to lean, and the optimization of the industrial enrichment efficiency from management to comprehensive service. The analytical framework of resource utilization, urban–rural integration development, and industrial enrichment will provide regulatory policies and theoretical support for the flow of urban–rural factors. Copyright © 2022 Deng, Wang, Song, Chen, Liu, Sun, Dong, Yue and Shi.