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Economic and Trade Cooperation (EATC) Based on Data Fusion Algorithm on High-Quality Industrial Development

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Frontier Computing (FC 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1031))

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Abstract

In recent years, the model of China's overseas EATC zone has been recognized by the governments of developing countries. The governments of developing countries are aware that the model of China's overseas EATC zone can drive the local private economy, promote industrial transformation and upgrading, and is conducive to high-quality industrial development. Proposed the intention to jointly build a local industrial cooperation zone with China. Based on the data fusion algorithm, this paper studies and analyzes the impact of EATC on the high-quality development of industry, puts forward the data fusion technology, discusses and analyzes the internal force analysis of the basic development conditions, basic principles and strategic guarantee measures of development projects of the EATC zone, and statistically analyzes the impact of EATC on the high-quality development of industry by using the data fusion algorithm. The statistical results show that the income structure of farmers has changed significantly before and after economic and trade cooperation. Before the economic and trade cooperation, farmers’ income was mainly business income and wage income, accounting for 95.50% of farmers’ family income. After the economic and trade cooperation, farmers’ income structure was obviously dominated by wage income, an increase of 9.3%, which shows that farmers who joined the cooperative transferred their land to the cooperative operation, liberated the labor force and increased their family income; At the same time, 33.33% of the parks have achieved basic profits, and 11.9% of the parks have made considerable profits. In the long run, the parks with high-quality development should present diversified profit models in the park economy, and EATC plays a positive role in promoting the high-quality development of the industry.

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Correspondence to Sonexay Phompida .

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Phompida, S., Yu, D. (2023). Economic and Trade Cooperation (EATC) Based on Data Fusion Algorithm on High-Quality Industrial Development. In: Hung, J.C., Yen, N.Y., Chang, JW. (eds) Frontier Computing. FC 2022. Lecture Notes in Electrical Engineering, vol 1031. Springer, Singapore. https://doi.org/10.1007/978-981-99-1428-9_87

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  • DOI: https://doi.org/10.1007/978-981-99-1428-9_87

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-1427-2

  • Online ISBN: 978-981-99-1428-9

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