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tion increased farmers' income the most significant, followed by agriculture and science and technology expenditures.
  
Farmers raised production expenditures per capita income of farmers with a significant positive correlation. Look from the farmer's own production conditions, and more able to increase revenue per capita arable land, population will reduce revenue, but in the statistical tests were not very significant. The average increase in labor can significantly improve the income of farmers. Increase the proportion of migrant labor can increase farmers' income, did not pass statistical tests, and have received professional training in the proportion of the labor force at the 95% confidence level increases can significantly improve the income of farmers. This shows that the rural labor export alone does not improve farmers' income, we must strengthen professional and technical training for farmers to enable them to benefit.
 
Farmers living conditions from the village to see, infrastructure can improve the income of farmers, but not statistically significant. This may be because in recent years, rural infrastructure such as electricity, access, telephone, a television in the village has a high proportion (about 90% basically), rural infrastructure construction has achieved great results, so the development of the increase farmers' income now is not so significant. At 95% confidence level village on the number of township enterprises to improve farmers' income is significant, because the village township enterprises to expand revenue streams, leading farmers to non-agricultural income. The village is agriculture and animal husbandry, such as new
  
Technology demonstration village, then the villagers' income will be increased, but not statistically significant (Table 2).
 
Model 2 adjusted R2 values inside each larger than the model fitting description of good results, the coefficient is negative description of the explanatory variables contributed to the decline in poverty rates is that we want to see.
  
Government's poverty reduction expenditures from the classification perspective, pro-poor development funding at the 95% confidence level to promote the rate of decline in poverty and significant negative correlation, each 1% increase in investment can promote pro-poor growth poverty rate fell 0.5798%, the effect is very obvious. The FFW and subsidized loans are not expected to play a role in promoting poverty rate has dropped. FFW lag a year later, and promote the poverty rate has dropped, but the statistical test is still not significant. Subsidized loans in the 99-year lag. The confidence level for the poverty rate is significantly positively correlated, indicating that subsidized loans increased but to promote poverty rates rise. This may be because the nature of banks' risk aversion crowding out effect on the formation of poor farmers, so that the funds should play a role in reducing poverty as targeted deviation resulting in greater injustice, they became accomplices of increasing poverty. Reforestation of special subsidies to promote poverty rate decreased, but not statistically significant.
 
Government expenditures increased from poor to invest in perspective, poverty alleviation invest in various fields have contributed to the decline in the poverty rate. Among them, invest in science, educat本论文由英语论文网提供整理，提供论文代写，英语论文代写，代写论文，代写英语论文，代写留学生论文，代写英文论文，留学生论文代写相关核心关键词搜索。