Abstract
Small and medium-sized agricultural (SMSA) leading enterprises in the economic development and agricultural development more and more prominent position. Especially in recent years, with the increasing policy support, SMSA leading enterprises are playing an extremely important role in promoting agricultural development and protecting agricultural ecology. The purpose of this paper is to find out the problems existing in the development of SMSA leading enterprises from the perspective of intelligent agricultural niche theory, and summarize the scientific and efficient growth mechanism of agricultural leading enterprises. In this paper, the related theoretical concepts of smart agriculture and niche theory are elaborated, and then the definition, function and ecosystem of agricultural leading enterprises are briefly explained. Then, by means of experimental investigation, this paper analyzes the growth and development status of China’s SMSA leading enterprises from the perspective of intelligent agricultural niche theory, and finds out the problems existing in the development of China’s SMSA leading enterprises. Finally, combining with the ecological niche theory of intelligent agriculture, a scientific growth mechanism is proposed to promote the development of SMSA leading enterprises in China. The experiments of this paper show that there are many problems in the development of SMSA leading enterprises in China, which are contrary to the ecological niche theory of smart agriculture.
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Acknowledgement
This work was supported by Soft Science Research Base Project of County-level Economic Competitiveness in Jiangxi Province: A Study on the Growth Mechanism of Leading Small and Medium-sized Enterprises from the Perspective of Niche—Based on the Research of Agricultural Development in Jiangxi Province (NO. 2019RKXYB001)
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Li, H., Zhou, N. (2021). Investigation on the Growth Mechanism of Small and Medium-Sized Agricultural Leading Enterprises from the Perspective of Intelligent Agricultural Niche Theory. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1283. Springer, Cham. https://doi.org/10.1007/978-3-030-62746-1_73
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