社會資本對農(nóng)戶信貸行為的影響——以甘肅省張掖市、甘南藏族自治州、臨夏回族自治州為例
發(fā)布時間:2018-07-17 08:02
【摘要】:信貸作為經(jīng)濟發(fā)展領(lǐng)域的重要問題之一,備受專家學(xué)者的關(guān)注。近年來,很多專家學(xué)者發(fā)現(xiàn)社會資本對信貸行為有重要的影響。通過以甘南藏族自治州、臨夏回族自治州和張掖市農(nóng)戶為例,基于入戶調(diào)查資料,運用因子分析法分析了不同民族農(nóng)戶的社會資本,運用多項logistic回歸模型,分析了社會資本對信貸行為的影響。結(jié)果顯示:(1)甘南藏族自治州社會資本總得分最低為0.91,臨夏回族自治州社會資本總得分為1.20,張掖社會資本總得分最高為1.26;(2)從社會資本的每個維度來看,信任、網(wǎng)絡(luò)和規(guī)范與信貸行為發(fā)生率呈正相關(guān)關(guān)系;(3)人力資本、物質(zhì)資本和金融資本對農(nóng)戶信貸行為發(fā)生率也有促進作用,但自然資本對農(nóng)戶信貸行為發(fā)生率有約束作用。
[Abstract]:As one of the important problems in the field of economic development, credit has attracted the attention of experts and scholars. In recent years, many experts and scholars have found that social capital has an important impact on credit behavior. Taking Gannan Tibetan Autonomous Prefecture, Linxia Hui Autonomous Prefecture and Zhangye City as examples, based on the data of household investigation, this paper analyzes the social capital of farmers of different nationalities by using factor analysis method, and applies multiple logistic regression models. The influence of social capital on credit behavior is analyzed. The results show that: (1) Gannan Tibetan Autonomous Prefecture has the lowest total score of social capital, Linxia Hui Autonomous Prefecture has the lowest score of 1.20, Zhangye has the highest total score of 1.26; (2) from each dimension of social capital, trust, (3) Human capital, material capital and financial capital can promote the occurrence rate of farmers' credit behavior, but natural capital can restrain the occurrence rate of farmers' credit behavior.
【作者單位】: 西北師范大學(xué)地理與環(huán)境科學(xué)學(xué)院;
【基金】:國家自然科學(xué)基金項目(41361106) 教育部新世紀優(yōu)秀人才支持計劃(NCET-11-0910)
【分類號】:F832.43;C912.1
本文編號:2129710
[Abstract]:As one of the important problems in the field of economic development, credit has attracted the attention of experts and scholars. In recent years, many experts and scholars have found that social capital has an important impact on credit behavior. Taking Gannan Tibetan Autonomous Prefecture, Linxia Hui Autonomous Prefecture and Zhangye City as examples, based on the data of household investigation, this paper analyzes the social capital of farmers of different nationalities by using factor analysis method, and applies multiple logistic regression models. The influence of social capital on credit behavior is analyzed. The results show that: (1) Gannan Tibetan Autonomous Prefecture has the lowest total score of social capital, Linxia Hui Autonomous Prefecture has the lowest score of 1.20, Zhangye has the highest total score of 1.26; (2) from each dimension of social capital, trust, (3) Human capital, material capital and financial capital can promote the occurrence rate of farmers' credit behavior, but natural capital can restrain the occurrence rate of farmers' credit behavior.
【作者單位】: 西北師范大學(xué)地理與環(huán)境科學(xué)學(xué)院;
【基金】:國家自然科學(xué)基金項目(41361106) 教育部新世紀優(yōu)秀人才支持計劃(NCET-11-0910)
【分類號】:F832.43;C912.1
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