Evaluation of the Execution Effect of the Minimum Grain Purchase Price in Rural Areas

This paper uses the analytic hierarchy process to study the execution effect of the minimum purchase price of grain in different regions and various grain crops. Firstly, for different regions, five indicators including grain yield, grain sown area, gross agricultural production, grain consumption price index, and disposable income of rural residents were selected to construct an evaluation index system. We collect data of six provinces including Hebei Province, Heilongjiang Province and Shandong Province from 2006 to 2017. Then, the judgment matrix is constructed, and the hierarchical single ordering and consistency test are carried out to determine the scoring standard for the minimum purchase price of grain. The ranking of the execution effect from high to low is: Heilongjiang Province, Shandong Province, Hebei Province, Guizhou Province, Shaanxi Province, and Guangdong Province. Secondly, taking Shandong Province as an example, we collect the relevant data of sown area and yield of cereals, beans, potatoes and other crops from 2006 to 2017. The weight of area and yield index is determined by expert scoring method. And the average sown area and yield of cereals, beans and potatoes in 2006-2017 were calculated, respectively. On this basis, according to the sum of products of weights and mean values, the execution effects of different grain crops are determined. It turns out that among the cereals, the minimum purchase price had the best execution effect on paddy, followed by wheat and finally maize. Moreover, among major categories of crops, cereals perform best, followed by beans and finally potatoes. Lastly, countermeasures are proposed for different regions, various categories of crops, and different crops of the same category.





References:
[1] Ye Lili, Wang Shaomin. Analysis of influencing factors of grain planting area based on grey correlation and linear programming (J). China's collective economy, 2017 (05): 69-71.
[2] Cao Shuang, Ye Xinliang. Construction and application of grain planting area index system (J). Science and technology and industry, 2017, 17 (07): 75-80.
[3] Zhou Ling, Han Chaoyi. Study on the Influencing Factors of Grain Planting Area in China Based on Machine Learning Modeling Method (J). Times Finance, 2017 (11): 324 + 334.
[4] Zhang Sulong. Analysis of influencing factors of grain planting area based on panel data (J). Journal of Yangzhou Vocational University, 2018,22(01): 48-52.
[5] Li Bo. Study on the Effect and Evaluation of the Minimum Purchasing Price Policy for Grain in China (J). Price Theory and Practice, 2016 (11): 70-73.
[6] Renhao Nian. Study on the effect of minimum grain purchase price policy based on variance analysis (J).Journal of Xi'an Aviation College, 2017,35(01): 86-90.
[7] Jinting, Liu Bo, Liu Qiang, Liu Shuai, Xu Dingcheng. Analysis of the effect mechanism of the minimum purchase price policy on wheat planting area in China (J). Southern Journal of Agriculture, 2018, 49 (02): 397-402.
[8] Geng Zhongzhong, Xiao Haifeng. The effect and problems of agricultural support and protection subsidy in China: based on the survey of Zhejiang and Shandong provinces (J). Local finance research, 2018 (04): 80-86.
[9] Impacts of "three subsidies" for grain production changed to agricultural support subsidies on grain production in Hubei Province (J). Grass-roots agrotechnical extension, 2018 (06): 69-71.
[10] Li Wenbin. Study on Sustainable Grain Growth in Jilin Province (D). Jilin University, 2017.
[11] Gao Jing, Cao Xuemei, Chang Dongmei and Wang Yanrong. Problems and solutions in food security production (J). Modern rural science and technology, 2018 (05): 5-6.
[12] Li Yating, Pan Shaoqi and Wu Nalin. Analysis of crop selection evolution mechanism of rural households in urban suburbs: based on the comparative study of Xinghuaying and Hedang villages in Henan Province (J). Regional research and development, 2018,37 (03): 142-147.
[13] Xiao Xia. Changes in grain production and structural adjustment of supply side in Sichuan Province based on statistical data from 1985 to 2016 (J). Agricultural resources and regionalization of China, 2018, 39 (02): 67-75.
[14] Fu Zhengyan. Study on the Evolution of Grain Production Structure in Henan Province (J). Henan Agriculture, 2018 (04): 32.
[15] Ni Xiangqin. An Analysis of the Impact of International Food Price Fluctuation on China's Food Supply and Demand Balance (J). Price Monthly, 2018 (02): 34-36.
[16] Xie Bo, Zhao Lianwen, Peng Lixia, Wang Li, Xie Meijun. Study on the Minimum Purchasing Price of Grain in 2017 (J). Yinshan Academic Journal (Natural Science Edition), 2018, 32 (02): 9-11.
[17] http://www.stats.gov.cn/tjsj/ndsj/2018/indexch.htm