摘要:This empirical analysis through econometric model between farmers and government 2002-2008 different investment to economic growth and poverty rates change, simulate different government contribution rate of public spending, hoping next public spending on government structure and direction of the adjustment has been Help.
xpenditure, nyfpzj poor agricultural per capita expenditure, qthyfpzj per capita in other industries poverty spending, jcssfpzj poor infrastructure per capita spending, kjwwfpzj science, education and poverty reduction expenditure per capita, qtfpzj other poor per capita expenditure, nynyzc raised agricultural expenditure per capita for farmers, nygyzc raised industrial expenditure per capita for farmers, nmdscyzc for farmers per capita from raise the tertiary industry expenditures, gdmj for farmers per capita arable land area, hjrk for farmers household population, hjldl for farmers household labor, wcwg for farmers and migrant proportion of the workforce, zxpx had received skills training for the labor proportion, td is powered village proportion, tdh proportion of village phone, tl is the proportion of the village path, jsds village is capable of receiving television programs proportion, xzqy Village number of township enterprises, xjssf as is the proportion of new technology demonstration village.
(Two) the government's public spending on poverty
We focus on the change in poverty poverty poverty rate in the county is represented by a linear regression model OLS expenditure categories for the contribution of the poverty rate.
Theoretical models: the poverty rate = F (poor government spending, government spending general public, non-governmental poverty spending, farmers raised production costs, farmers own production conditions, poverty-stricken areas of natural and infrastructure conditions)
Model 2:
Where H is the poverty rate, fpzj for the poor development funds, ygdz as food for work, txdk as subsidized loans, tghl of returning farmland to forest subsidies, czznzc of fiscal expenditure on agriculture, czkjzc for the financial technology spending, czjyzc of fiscal expenditure on education, nyfpzj poverty expenditures for agriculture, qthyfpzj poverty expenditures for other industries, jcssfpzj for infrastructure pro-poor spending, kjwwfpzj of science, education and poverty reduction expenditures, qtfpzj for other pro-poor expenditures, fzfpzj non-governmental anti-poverty spending, nmzc for farmers raised spending, nynyzc agricultural expenditure for farmers raised, nygyzc industrial spending for farmers raised, nmdscyzc for farmers raised the tertiary industry expenditures, gdmj for farmers per capita arable land area, hjrk for farmers household population, hjldl for farmers household labor, wcwg for farmers accounting for the proportion of migrant labor, zxpx had received skills training for the labor force proportion, cjfp as participated in the proportion of poor farmers, td proportion to electrify villages, tdh is the proportion of the village phone, tl is the proportion of the village path, jsds order to Village proportion receiving television programs, xzqy Village number of township enterprises, xjssf as is the proportion of new technology demonstration village.
Third, the empirical results
Data from China Statistical Publishing House of the calendar year, "China Rural Poverty Monitoring Report", the selected section of the sequence and mixed data through Eview5.0 statistical software for regression analysis. Since China Poverty Monitoring Report was launched in 2000 after a lot of data in 2002 only after statistical norms
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。