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The coupling coordination of agricultural technology innovation with food security is of great significance for high-quality agricultural development. By identifying the coupling coordination relationship between the two systems and the influencing factors, this paper aims to promote the virtuous cycle of coordinated development between regional agriculture and technology, as well as accelerate the realisation of high-quality development of Chinese agriculture. Therefore, this paper explores the spatial and temporal coupling characteristics of the two using the entropy value method, coupling coordination degree model, and exploratory spatial data analysis, and it screens for important influencing factors using the grey correlation model. The main results show that ① the coupling coordination relationship between agricultural technology innovation and food security in China is at a dissonant stage, but the value of the coupling coordination degree increases from 0.2076 to 0.3437 during the period of study, and the level of coordination gradually improves. ② The degree of coupling coordination in the provincial space exhibits a distribution pattern of "high in the east and low in the west". The areas of high value are primarily situated in the provinces of Shandong, Jiangsu, and other provinces along the southeastern coast of China, while the areas of low value are mainly located in the provinces of Qinghai, Ningxia, and other provinces in inland northwest China. ③ The Moran's index of provincial coupling coordination is greater than 0, showing a certain positive correlation, and there is a significant pattern of spatial aggregation. ④ The correlation coefficients between the influencing factors and the degree of coupling coordination are all greater than 0.35, indicating a moderate or high correlation, but the significance of technological support capacity and food distribution security increased over time. [ABSTRACT FROM AUTHOR]

As skilled talent is the core element in optimizing the industrial structure, clarifying the factors that influence the lack of skilled talent in the agricultural industry is essential. The lack of skilled talent in the agricultural industry is a complex problem. The author based this study on the push–pull theory and used the fuzzy-set qualitative comparative analysis (FSQCA) research method to explore the "joint effect" of the factors that affect the lack of skilled talents in the agricultural industry in 14 cities of Hunan Province. This paper found that indicators such as the rural industry status, rural medical level, agricultural and forestry financial investment, urbanization construction, regional economic development level, and local government officials were all presented under sufficient conditions. These influencing factors have a "combined effect" on the agricultural industry's lack of skilled talent. The rural industry status indicator was the core condition, appearing in all the configurations. This article's main marginal contribution is that it defined three conditional configurations for the lack of "present" agricultural skilled talents, and dependent configurations are consistent. Among the three conditional configurations, the "rural industry + economic construction and financial investment" configuration is the most powerful way to retain skilled agricultural talents. In addition, the causal relationship between the lack of "present" agricultural industry skilled talents and the lack of "absent" agricultural industry skilled talents are asymmetric. The primary task is to develop rural industries to solve the problem of the shortage of skilled talent in the agricultural industry. Additionally, then implement the 'industry+' combination policy. So the government must create related policies in the following areas: the supply of essential public services in rural areas, the economic construction of prefectures, the development of county urbanization, and the financial investment in agriculture, forestry, and water conservancy. [ABSTRACT FROM AUTHOR]

Agriculture is one of the three major industries in China, and its level of development occupies an important position in the development of the national economy. At present, China vigorously promotes the strategy of rural revitalization, which provides new opportunities for agricultural modernization. Since modern agriculture and regional economy are coupled in a mutually influencing and constraining relationship, this paper constructs a coupled and coordinated evaluation index system of agricultural modernization and regional economic development. Using the entropy value method and coupled coordination degree model, the comprehensive development level and coordinated development degree of agricultural modernization and regional economic development of 31 provinces, autonomous regions, and cities in China from 2011 to 2020 were evaluated, revealing the time evolution and spatial distribution characteristics of the two systems. The results show that: (1) In the past decade, China's agricultural modernization and regional economy have made some progress in terms of their respective development levels and the degree of coupling and coordination between them. (2) In terms of spatial evolution, there are obvious regional differences between the two systems, and the coupling coordination degree shows a "ladder" distribution pattern from the east to the central, northeastern, and western parts of the country. (3) Regions with a high level of regional economic development also have a relatively high degree of coupling and coordination between agricultural modernization and regional economic development. Our results provide insights into the economic effects of agricultural modernization in China and provide useful insights into the future direction of agricultural development programs in countries around the world. [ABSTRACT FROM AUTHOR]