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農(nóng)戶生計(jì)脆弱性及影響因素研究

發(fā)布時(shí)間:2018-06-28 21:35

  本文選題:農(nóng)戶 + 生計(jì)資本 ; 參考:《河南財(cái)經(jīng)政法大學(xué)》2017年碩士論文


【摘要】:農(nóng)戶生計(jì)脆弱性的研究能夠?qū)ζ溟_展多樣化生計(jì)和實(shí)現(xiàn)區(qū)域可持續(xù)發(fā)展提供科學(xué)依據(jù)。河南省作為一個(gè)人口大省,當(dāng)前農(nóng)戶生計(jì)問題顯著。在可持續(xù)生計(jì)框架的指導(dǎo)下分析農(nóng)戶生計(jì)資本脆弱性情況,明確生計(jì)資本現(xiàn)狀、脆弱性表現(xiàn)以及脆弱性影響因素,為降低農(nóng)戶的生計(jì)資本脆弱性提供政策建議。本文以河南省14個(gè)村莊為樣本區(qū)域,根據(jù)樣本區(qū)的特征構(gòu)建了農(nóng)戶家庭生計(jì)資本定量分析指標(biāo)體系,采用定性與定量相結(jié)合的方法研究樣本區(qū)農(nóng)戶的生計(jì)脆弱性,運(yùn)用多元線性回歸模型對樣本區(qū)農(nóng)戶家庭的生計(jì)脆弱性影響因素進(jìn)行深度剖析。主要結(jié)論如下:(1)整體上來看,樣本區(qū)域農(nóng)戶生計(jì)資本構(gòu)成中物質(zhì)資本的數(shù)值最高,其次為人力資本,自然資本與金融資本處于中下等,最為貧乏的是社會(huì)資本。(2)從農(nóng)戶微觀層面來看,家庭人口數(shù)量和家庭整體勞動(dòng)力水平兩項(xiàng)指標(biāo)對人力資本的貢獻(xiàn)較大,農(nóng)戶的自然資本普遍較為脆弱。樣本區(qū)農(nóng)戶的物質(zhì)資本較為充裕,在金融資本方面,務(wù)工收入對農(nóng)戶金融資本的影響最為顯著。在社會(huì)資本方面,社會(huì)層面的權(quán)威數(shù)量較少,社會(huì)資本在所有資本中最為脆弱。(3)從農(nóng)戶生計(jì)脆弱性的影響因素來看,戶主年齡較小,并且受教育程度較弱,沒有用于謀生的主要技能,則農(nóng)戶家庭的生計(jì)資本較弱,無法承受較大的外部風(fēng)險(xiǎn),農(nóng)戶家庭的生計(jì)脆弱性較高。地形條件較好的平原區(qū),農(nóng)戶家庭的生計(jì)脆弱性相對較小,在山區(qū)農(nóng)戶生計(jì)脆弱性較大,反之亦然。非農(nóng)就業(yè)人數(shù)越多,農(nóng)戶家庭生計(jì)脆弱性越小。最后,有針對性的對樣本區(qū)農(nóng)戶的技能水平、自然資源利用狀況以及健全金融服務(wù)體系、拓寬農(nóng)戶社會(huì)網(wǎng)絡(luò)等方面提出優(yōu)化農(nóng)戶生計(jì)資本,減小生計(jì)脆弱性的建議。
[Abstract]:The study of farmers' livelihood vulnerability can provide scientific basis for carrying out diversified livelihoods and realizing regional sustainable development. Henan Province as a large population province, the current farmers livelihood problems are significant. Under the guidance of sustainable livelihood framework, this paper analyzes the vulnerability of farmers' livelihood capital, clarifies the status quo of livelihood capital, vulnerability performance and factors affecting vulnerability, and provides policy recommendations for reducing the vulnerability of farmers' livelihood capital. In this paper, 14 villages in Henan Province are taken as sample areas. According to the characteristics of the sample areas, the quantitative analysis index system of household livelihood capital is constructed, and the livelihood vulnerability of farmers in the sample area is studied by combining qualitative and quantitative methods. The multivariate linear regression model was used to analyze the factors affecting the livelihood vulnerability of farmers in the sample area. The main conclusions are as follows: (1) on the whole, the material capital is the highest in the sample region, followed by human capital, natural capital and financial capital. The most poor is social capital. (2) from the micro level of peasant households, the contribution of the two indicators, the number of household population and the level of family labor force, to human capital is great, and the natural capital of farmers is generally fragile. In the sample area, the material capital of farmers is abundant, and in the aspect of financial capital, the influence of labor income on farmers' financial capital is the most significant. In terms of social capital, there is less authority at the social level, and social capital is the most vulnerable of all capital. (3) from the perspective of the factors affecting the vulnerability of farmers' livelihood, the head of household is younger and less educated. Without the main skills to make a living, the household's livelihood capital is weak and can not bear the larger external risks, and the household's livelihood is more vulnerable. In plain areas with better topography, the livelihood vulnerability of peasant households is relatively small, and that of farmers in mountainous areas is greater, and vice versa. The more the number of non-agricultural employment, the smaller the vulnerability of household livelihood. Finally, the paper puts forward some suggestions on how to optimize farmers' livelihood capital and reduce their livelihood vulnerability from the aspects of skill level, utilization of natural resources, financial service system and social network of farmers in the sample area.
【學(xué)位授予單位】:河南財(cái)經(jīng)政法大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:F323.8

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