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Study on the influence of agricultural industrial structure adjustment on agricultural economic growth in Shandong Province
WANG Min, WANG Zhao-hua
HUBEI AGRICULTURAL SCIENCES
2023, 62 (2):
6-12.
DOI: 10.14088/j.cnki.issn0439-8114.2023.02.002
Using agricultural statistics data from 2006 to 2020, the agricultural industrial structure of Shandong Province was conducted qualitative and quantitative analysis. By using the output value growth rate model and regression model, the contribution rate of agricultural industry sectors and agricultural industrial structure adjustment to agricultural economic growth was analyzed in Shandong Province. The results showed that planting industry had the greatest impact on agricultural economic growth, followed by animal husbandry, fishery and service industry, and forestry had the least impact on agricultural economic growth. When the output value of planting industry, forestry, animal husbandry, fishery and service industry increased by 1%, the total output value of agriculture increased by 0.494%, 0.006%, 0.312%, 0.134% and 0.089%, respectively. Adjustment of agricultural industrial structure showed negative growth to agricultural economy. The grey correlation analysis method was used to analyze the influence of the internal industries of planting industry and animal husbandry on the development of planting industry and animal husbandry. It was found that the wheat yield had the greatest impact on the economic growth of planting industry, and the cotton had the smallest impact on the economic growth of planting industry; the output value of pork had the greatest impact on the economic growth of animal husbandry, while mutton had the smallest impact on the economic growth of animal husbandry, which was mainly caused by the output, market, price and innovation ability.
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