Optimal Choice of Cotton Subsidy Mode in China—Empirical Study Based on Principal Component Regression

Jianzhong Shi; Yuhong Li

doi:10.4236/me.2013.47050

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Modern Economy > Vol.4 No.7, July 2013

Optimal Choice of Cotton Subsidy Mode in China—Empirical Study Based on Principal Component Regression ()

Jianzhong Shi, Yuhong Li

.
Business School, Jinggangshan University, Ji’an, China.

DOI: 10.4236/me.2013.47050 PDF HTML 3,278 Downloads 4,571 Views Citations

Abstract

Adopt principal component regression for researching the optimal subsidy mode of cotton production in China. The result indicates that, from the perspective of economic stimulatory effect, the optimal cotton subsidy in China is farm chemical subsidy rather than seed subsidy. The reason is that there are frequent pest disasters in cotton producing areas in China. So farm chemical subsidy is the most important factor ensuring cotton production. Meanwhile, cotton varieties must be optimized and improved to increase the ability to resist pests and diseases, and the forecasting for pests and diseases in cotton production areas must be enhanced, early warning mechanism and monitoring must be built, and in addition, it is strongly recommended that if financial resources allow, subsidies like seed subsidy, fertilizer subsidy, machinery subsidy and irrigation subsidy could also put into effect in China.

Keywords

China; Cotton Subsidy; Import; Principal Component Regression

Share and Cite:

J. Shi and Y. Li, "Optimal Choice of Cotton Subsidy Mode in China—Empirical Study Based on Principal Component Regression," Modern Economy, Vol. 4 No. 7, 2013, pp. 466-470. doi: 10.4236/me.2013.47050.

Conflicts of Interest

The authors declare no conflicts of interest.

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