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Information Technology Journal

Year: 2013 | Volume: 12 | Issue: 8 | Page No.: 1607-1613
DOI: 10.3923/itj.2013.1607.1613
Investigation of the Contribution Rate of Agricultural Mechanization to Agricultural Production Using Cobb-douglas Model
Han Renting, Xuan Wang, Nan Geng, Wenhao Suo, Bei Liu and Yuxiang Huang

Abstract: 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.

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How to cite this article
Han Renting, Xuan Wang, Nan Geng, Wenhao Suo, Bei Liu and Yuxiang Huang, 2013. Investigation of the Contribution Rate of Agricultural Mechanization to Agricultural Production Using Cobb-douglas Model. Information Technology Journal, 12: 1607-1613.

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