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Research and Application of Equity System Development of Rural Joint Stock Cooperative Economic Association Oriented to Big Data Technology (Blockchain Technology)

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Cyber Security Intelligence and Analytics (CSIA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1342))

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Abstract

With the development of science and technology, people understand that the development of a physical object is no longer limited to books. With the advent of 5 g technology, big data technology has been everywhere in our life, and the emergence of big data makes it easier for us to do things. Nowadays, how to use big data technology to develop, research and apply the equity system of rural joint stock cooperative economic association has become a big problem. How to ensure the orderly operation of this key, one is the incentive path, the second is the constraint path, the third is the guarantee path, the three are different division of labor, the three complement each other, inseparable, together for the development of rural joint stock cooperative economic association equity system research and application. By using the method of data survey, this paper found that in the current rural joint-stock cooperative economic association, fishery cooperatives accounted for 5%, forestry cooperatives accounted for 20%, service cooperatives accounted for 35%, animal husbandry cooperatives accounted for 15% and 25% of the planting industry. Therefore, in the process of promoting the development of agricultural stock cooperation system, we should adhere to the principle of diversified forms and gradual improvement.

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Acknowledgements

Natural platforms and projects of Guangdong Universities in 2020-Key field (Rural Revitalization) project of general colleges and universities in Guangdong Province.

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Correspondence to Kanghua Peng .

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Peng, K. (2021). Research and Application of Equity System Development of Rural Joint Stock Cooperative Economic Association Oriented to Big Data Technology (Blockchain Technology). In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1342. Springer, Cham. https://doi.org/10.1007/978-3-030-70042-3_1

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