本文選題：貧困地理學(xué) + 空間貧困�。� 參考：《西安科技大學(xué)》2017年碩士論文

【摘要】：貧困是一個(gè)全球性的問題,目前對于貧困的研究指標(biāo)仍僅局限于人均收入、人均耕地等一系列基于經(jīng)濟(jì)社會(huì)等統(tǒng)計(jì)學(xué)的指標(biāo)體系,選取的這些指標(biāo)體系與貧困有直接關(guān)系,可以準(zhǔn)確地反映出區(qū)域和農(nóng)戶的貧困等級,并且操作性強(qiáng),因而在大范圍推廣的時(shí)候很容易且綜合成本較低。雖然國家與社會(huì)大力扶持貧困地區(qū)脫貧,仍然有許多地區(qū)無法擺脫貧困的境地;如果拋開政策、教育水平、人口收入等基于統(tǒng)計(jì)學(xué)的經(jīng)濟(jì)因素影響,是否存在其他因素對貧困有一定的影響。因而引入地理環(huán)境對貧困的影響效應(yīng),深入研究地域差異與地理環(huán)境的制約影響,同時(shí)研究兩者與貧困發(fā)生之間的耦合關(guān)系,打破以往對于貧困研究所采用的宏觀視角、集體統(tǒng)計(jì)數(shù)據(jù)的研究方法,而是從微觀視角對個(gè)體數(shù)據(jù)進(jìn)行分析,重視區(qū)域貧困的精確測算和區(qū)域貧困影響因素的定量分析。通過梳理研究近20年國內(nèi)外關(guān)于空間貧困的相關(guān)文獻(xiàn),并結(jié)合目前國內(nèi)關(guān)于貧困地理的政策要求,本研究從地理空間的視角對空間貧困的概念含義,地理因素對貧困產(chǎn)生的影響作用機(jī)理,相關(guān)因素因子對于區(qū)域內(nèi)研究對象的影響作用方式,以及區(qū)域內(nèi)貧困等級測度過程四個(gè)方面進(jìn)行系統(tǒng)的闡述,重點(diǎn)分析不同的地理因素影響衰減模型及其各自的優(yōu)缺點(diǎn)和適用范圍,并對其中的綜合衰減模型進(jìn)行優(yōu)化。同時(shí)選取禮泉縣作為實(shí)驗(yàn)區(qū)域進(jìn)行實(shí)驗(yàn)驗(yàn)證,論證地理空間因素對于貧困等級評價(jià)的作用,進(jìn)而得出區(qū)域內(nèi)的貧困程度。本研究在理論上豐富了貧困地理學(xué)的研究,同時(shí)也總結(jié)了空間要素的影響方式,為后續(xù)研究空間要素影響提供了一種新的思路。
[Abstract]:Poverty is a global problem. At present, the study of poverty is still limited to a series of indicators based on economic and social statistics, such as per capita income, arable land per capita, etc. The selected indicators are directly related to poverty. It can accurately reflect the poverty level of regional and peasant households, and has strong operability, so it is easy to popularize on a large scale and the comprehensive cost is low. Although the state and society are making great efforts to help poor areas out of poverty, there are still many areas that cannot escape from poverty. If we put aside policies, education levels, population income and other statistical economic factors, Whether there are other factors has a certain impact on poverty. Therefore, the effect of geographical environment on poverty is introduced, and the influence of geographical difference and geographical environment is deeply studied. At the same time, the coupling relationship between the two and the occurrence of poverty is studied, which breaks the macro perspective used in poverty research in the past. The research method of collective statistical data is to analyze the individual data from the microcosmic point of view and pay attention to the accurate measurement of regional poverty and the quantitative analysis of the influencing factors of regional poverty. By combing the relevant literature on space poverty at home and abroad in the past 20 years, and combining with the policy requirements of poverty geography in China, the concept meaning of space poverty from the perspective of geographical space is studied in this paper. The influence mechanism of geographical factors on poverty, the influence mode of relevant factors on the research objects in the region, and the four aspects of the poverty grade measurement process in the region are systematically expounded. The influence of different geographical factors on attenuation models, their advantages and disadvantages and their applicable scope are analyzed, and the comprehensive attenuation models are optimized. At the same time, Liquan County is selected as the experimental area to verify the effect of geographical spatial factors on the evaluation of poverty grade, and then the degree of poverty in the region is obtained. This study enriches the study of poverty geography theoretically, and summarizes the influence mode of spatial elements, which provides a new way to study the influence of spatial elements.
【學(xué)位授予單位】：西安科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：F126;P208

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