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Investigation of the Contribution Rate of Agricultural Mechanization to Agricultural Production Using Cobb-douglas Model

机译:基于Cobb-Douglas模型的农业机械化对农业生产贡献率的研究。

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This study utilizes the Cobb-douglas production function and regression analysis to establish a computing model for the contribution rate of agricultural mechanization to agricultural production. The agricultural mechanization and agricultural output data of the Shaanxi Province from 2001 to 2010 were used as examples for the estimation. The results demonstrate that the contribution of agricultural mechanization to agricultural output was 31.46%. A regression analysis of the various input factors revealed that the growth of agricultural output was primarily due to an increase in capital and agricultural machinery. Capital investment displayed the largest contribution to the output, followed, in descending order, by the investment in agricultural machinery and land investment; moreover, the labor investment did not significantly affect the output. With an increased agricultural machinery and capital investment, the agricultural output of the Shaanxi Province exhibited a trend of significant upward growth. This observation suggests that further investment in agricultural machinery and an increase in the mechanization level of agricultural production may extensively contribute to the growth of the agricultural output. The results of this study are relevant for future evaluations of the development level of agricultural mechanization and its potential contribution to the agricultural output.
机译:本研究利用柯布-道格拉斯生产函数和回归分析建立了农业机械化对农业生产贡献率的计算模型。以2001年至2010年陕西省的农业机械化和农业产出数据为例进行估算。结果表明,农业机械化对农业总产值的贡献率为31.46%。对各种投入因素的回归分析表明,农业产出的增长主要是由于资本和农业机械的增长。资本投资对产出的贡献最大,其次是农业机械投资和土地投资,降序排列。此外,劳动力投资对产出没有显着影响。随着农业机械和资本投资的增加,陕西省农业总产值呈现出显着增长的趋势。这一观察结果表明,对农业机械的进一步投资和农业生产机械化水平的提高可能在很大程度上促进农业产量的增长。这项研究的结果与未来对农业机械化发展水平及其对农业产出的潜在贡献的评估有关。

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