Analysis on the co-movement effect between sectoral linkage and economic growth of agriculture in Fujian Province based on input-output model

Weiwei Fu; Minyue He; Peifen Zhuang

doi:10.1117/12.2637162

15 June 2022 Analysis on the co-movement effect between sectoral linkage and economic growth of agriculture in Fujian Province based on input-output model

Weiwei Fu, Minyue He, Peifen Zhuang

Author Affiliations +

Proceedings Volume 12285, International Conference on Advanced Algorithms and Neural Networks (AANN 2022); 122850X (2022) https://doi.org/10.1117/12.2637162
Event: International Conference on Advanced Algorithms and Neural Networks (AANN 2022), 2022, Zhuhai, China

Abstract

Based on the input-output model, this paper calculates the direct input coefficient, total input coefficient, influence coefficient and sensitivity coefficient to analyze the current sectoral linkage of agricultural in Fujian Province, and establish a simultaneous equation model to study the co-movement effect between sectoral linkage and economic growth of agriculture by using the Eviews software. The results show that most of the sectors with close forward and backward linkage of agriculture are labor-intensive sectors in Fujian Province. The pulling effect of agriculture on other sectors is very limited. The backward linkage of agriculture and agricultural economic growth promote each other, and the economic effect of backward linkage is greater than that of forward linkage of agriculture in Fujian Province.

Citation Download Citation

Weiwei Fu, Minyue He, and Peifen Zhuang "Analysis on the co-movement effect between sectoral linkage and economic growth of agriculture in Fujian Province based on input-output model", Proc. SPIE 12285, International Conference on Advanced Algorithms and Neural Networks (AANN 2022), 122850X (15 June 2022); https://doi.org/10.1117/12.2637162

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