In terms of current life style, living and production conditions and hygienic and educational condition, we select 8 indices, such as annual net income of farmers per capita, annual grain yield per capita, total power...In terms of current life style, living and production conditions and hygienic and educational condition, we select 8 indices, such as annual net income of farmers per capita, annual grain yield per capita, total power of agricultural machinery per capita, dropout rate of school children and so on, to establish index system of determining the poor village in North Jiangsu. By selecting Lianqun Village in Suining County of Xuzhou City, Mawa Village in Siyang County of Suqian City, Chuanxing Village in Guanyun County of Lianyungang City, Xiaozhu Village in Hongze County of Huai'an City, Fengda Village in Xiangshui County of Yancheng City as the representative villages, after the discussion and consultation of the masses and the village cadres of all villages, we get the measuring results of weight. Through the field survey, investigation and interview in the selected regions, we get the relevant data, and then we conduct standardization processing, so as to get the index value that can comprehensively reflect the characteristics of poverty. According to the index data that have been standardized, by using participatory poverty index formula for calculation, we get the values that can explain the poverty degree of the respondents. We sequence the representative poor villages in this region according to the poverty degree from high to low, and the result is as follows: Mawa Village, ianqun Village, Chuanxing Village, Xiaozhu Village, and Fengda Village. It indicates that in terms of the operability of theory and technique, the participatory poverty index can better recognize the poor villages, so that it lays solid foundation for rationally and effectively using the limited poverty alleviation resources.展开更多
基金Supported by Environment and Development Innovative Experiment Project of Xuzhou Normal University (HJ201015Y)
文摘In terms of current life style, living and production conditions and hygienic and educational condition, we select 8 indices, such as annual net income of farmers per capita, annual grain yield per capita, total power of agricultural machinery per capita, dropout rate of school children and so on, to establish index system of determining the poor village in North Jiangsu. By selecting Lianqun Village in Suining County of Xuzhou City, Mawa Village in Siyang County of Suqian City, Chuanxing Village in Guanyun County of Lianyungang City, Xiaozhu Village in Hongze County of Huai'an City, Fengda Village in Xiangshui County of Yancheng City as the representative villages, after the discussion and consultation of the masses and the village cadres of all villages, we get the measuring results of weight. Through the field survey, investigation and interview in the selected regions, we get the relevant data, and then we conduct standardization processing, so as to get the index value that can comprehensively reflect the characteristics of poverty. According to the index data that have been standardized, by using participatory poverty index formula for calculation, we get the values that can explain the poverty degree of the respondents. We sequence the representative poor villages in this region according to the poverty degree from high to low, and the result is as follows: Mawa Village, ianqun Village, Chuanxing Village, Xiaozhu Village, and Fengda Village. It indicates that in terms of the operability of theory and technique, the participatory poverty index can better recognize the poor villages, so that it lays solid foundation for rationally and effectively using the limited poverty alleviation resources.
