Research on the Whole Rice Industry Chain Model from the Perspective of Rural Revitalization: Taking Qianshan City as an Example
Authors: Zhang Ziyue , Zhao Yiwei , Bu Minghui , Ye Wenxiu , Zhang Huiheng 
Published: May 2023

The report of the 20th National Congress of the Communist Party of China proposes to comprehensively promote rural revitalization, adhere to the priority development of agriculture and rural areas, and accelerate the construction of an agricultural power. Studying the supply chain of agricultural products is one of the ways to achieve rural revitalization, with the aim of providing agricultural products to consumers quickly and safely, while reducing costs in the supply chain and improving economic benefits. Rice, as one of the most important food crops, feeds over half of the population. Research on the rice supply chain has special significance, and rural revitalization policies provide new opportunities for the value-added and transformation upgrading of the entire rice industry chain. This article focuses on the hot issues of the agricultural product industry chain, taking Qianshan City, which has a well-developed industry chain in Anqing City, as an example. Through a questionnaire survey, it deeply studies the basic cognitive status, acceptance willingness, and influencing factors of farmers in the two cities and five counties under the jurisdiction of Anqing City on the entire rice industry chain. It also conducts multi-dimensional exploration and exploration on the existing problems and development strategies of the entire rice industry chain, and deeply analyzes the acceptance bottleneck of new models of the rice industry chain for farmers, On the one hand, it fills the gap in existing research content, and on the other hand, it has important practical significance for achieving the goal of rural revitalization. In response to the basic cognitive status of farmers on the entire rice industry chain, this article uses a cross contingency table to analyze the internal correlation between the respondents' basic information and cognitive status. Based on this, K-means clustering method is used to classify the respondents' relevant cognitive characteristics; In response to the willingness of farmers to accept the entire rice industry chain, the article constructs an evaluation index system for farmers' willingness to accept from four dimensions: acquisition mechanism, technology empowerment, government policies, and contract performance. Principal component analysis is used to comprehensively evaluate the degree of farmers' willingness to accept, and the structural process is used to explore the influence degree and path of their factors; In response to the existing problems and development strategies of the entire rice industry chain, text mining technology is used to explore future development suggestions for the rice industry chain model from the perspective of farmers. The article concludes with relevant conclusions based on the above analysis, and proposes scientific suggestions for the innovative development of the entire rice industry chain from five levels: government, enterprises, cooperatives, village committees, and farmers. The article aims to promote the nationwide application of the entire rice industry chain and assist in rural revitalization.