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     Advance Journal of Food Science and Technology

    Abstract
2015(Vol.9, Issue:10)
Article Information:

Evaluation on the “One Village One Product” Economic Development Benefit of Chengdu Shuangliu County Based on Entropy Weight TOPSIS Method

Xiulan Sun, Lijuan Zhan, Zhengliang Yang, Baolin Liu, Cenglong Li and Lin Zhu
Corresponding Author:  Xiulan Sun 
Submitted: March ‎23, ‎2015
Accepted: May ‎22, ‎2015
Published: September 20, 2015
Abstract:
The rapid economic development of Shuangliu County is closely related to its implementation of “one village one product” method. In this study, the evaluation index system that can reflect the agricultural production capacity, social service level, ecological guarantee level, farmer income level and rural economic contribution is constructed with the index decomposition method according to the winter strawberry production base in Yong’an Town, Xinxing Town and Gongxing Town, as well as three standardized production demonstration districts of fine pears, including Dalin Town, Jitian Town and Shengli Town. Economic benefit assessment is conducted for the above four professional villages with the entropy weight TOPSIS method. Eventually, it is concluded that in the four “one village one product” professional villages in Shuangliu County, the economic benefit of Yong’an Town, Xinxing Town and Gongxing Town is relatively high. It is proposed that the reinforcement of planning guidance, perfection of supporting facilities, innovation of investment financing method and increase of capital investment are the policy suggestions for the effective economic development of professional village.

Key words:  Economic benefit, empirical analysis, entropy weight TOPSIS method, “one-village-one-product”, suggestions, ,
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Cite this Reference:
Xiulan Sun, Lijuan Zhan, Zhengliang Yang, Baolin Liu, Cenglong Li and Lin Zhu, . Evaluation on the “One Village One Product” Economic Development Benefit of Chengdu Shuangliu County Based on Entropy Weight TOPSIS Method. Advance Journal of Food Science and Technology, (10): 749-754.
ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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