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A Comparative Study On The Difference Of Poverty Areas In Tuquan County

Posted on:2019-04-05Degree:MasterType:Thesis
Country:ChinaCandidate:Y HanFull Text:PDF
GTID:2429330566471524Subject:Pastoral geography
Abstract/Summary:PDF Full Text Request
Poverty is the objectively existing problem throughout the whole process of economic and social development of mankind.The contradiction between the increasing population and the natural environment is becoming increasingly prominent.The poverty problem derived from it has always been one of the problems that plagued China and even the developing countries.How to slow down and eliminate poverty will also be a tough problem for China to build a well-off society in an all-round way before 2020.As Inner Mongolia's minority border areas,the ecological environment is fragile,the relationship between man and land tends to be tight,the economic development is also very uneven,and the gap between the rich and the poor is large.In the study area,the District of Tuquan County,which is located in the 14 state-run stricken area,the southern piedmont area of Greater Khingan Range,is a national poor county.It belongs to the interlacing of agriculture and animal husbandry in the north and fragile ecological environment,so it is urgent to reduce poverty before the well-off society is completed constructed.Aiming at the spatial distribution and poverty status of the poor village in the county of Tuquan county,taking the village as the research object,the village as the basic unit,using the ArcGis spatial autocorrelation analysis method,the paper studies the spatial distribution of the poor villages and explores the poor regional differences in the three poverty-stricken villages located in the different terrain units.Based on the theory of human geography relationship,the paper analyzes the causes of poverty in typical villages,and explores the Countermeasures for the sustainable and stable poverty elimination in typical villages.The following conclusions are drawn:(1)The natural resources(cultivated land resources)and natural disasters in poor areas are important reasons that restrict the development of the region.(2)The poverty alleviation policies of local governments do not reflect the principle of adjusting to local conditions.(3)According to the analysis of Gem Village,it can be known that meteorological disasters frequently occur in mountainous regions,which leads to slower farmers' income,severe outflow of young and middle-aged people,lack of labor force leads to industrial support;according to the analysis of Liuhu Village We can see that the contradiction between man and land in the hilly areas is sharp.Compared with limited resources,the population is relatively large,the per capita arable land is small,and the income from family business is also relatively low.According to the analysis of Pingchuan Village,It is known that soil salinization is severe in plain areas,and yield per mu is low in maize.Faced to this actual situation,this paper formulates accurate poverty alleviation strategies based on different regions,from three terrain units in the mountains,hills,and plains,and combines human-earth-relationship regional systems,giving suggestions from the perspective of man and land.In formulating precision poverty alleviation strategies,we must accurately identify the main poverty-reducing and poverty-reducing elements in different regions,adjust measures to local conditions,and set targets for poverty reduction strategies.Firstly,to accurately allocate resources for poverty alleviation and implement a differential poverty alleviation strategy;then,to adjust the planting structure of crops and turn smallholder operations into intensive development;second,to promote poverty alleviation and relocation and strengthen public infrastructure;then,establish a new growth pole.Broaden the employment channels and create employment opportunities.Finally,with the concept of sustainable development,implement the development mechanism of urban-rural integration system.
Keywords/Search Tags:poverty, regional differences, comparative study, spatial autocorrelation
PDF Full Text Request
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