期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Farmers' Land Transfer-out Behavior from the Perspective of Household Livelihood Endowment Based on the Survey in Anhui,Hubei and Sichuan 被引量:2
1
作者 Zhangjin FEI 《Asian Agricultural Research》 2018年第6期23-29,共7页
Based on the household livelihood endowment theory and the survey of 367 farmer households in Anhui,Hubei,and Sichuan in 2016,and using the orderly multi-category logistic model,the behavioral decision of farmers in t... Based on the household livelihood endowment theory and the survey of 367 farmer households in Anhui,Hubei,and Sichuan in 2016,and using the orderly multi-category logistic model,the behavioral decision of farmers in the land circulation was discussed to explore the key parameters influencing the land transfer-out. It found that decisions of farmers on land transfer-out behavior are affected by many factors.Specifically,household non-agricultural income and per capita land area significantly reduce farmers' willingness to transfer land,while the household head age,agricultural input-output ratio,and confirmation of land right significantly promote the farmers' decision on land transferout. Therefore,increasing the allocation efficiency of household livelihood endowment has important policy value and practical significance for eliminating unreasonable land circulation and promoting large-scale agricultural production. 展开更多
关键词 Household livelihood endowment Land transfer-out Orderly multi-category logistic model
下载PDF
Does the Financial Status of Company Affect the Bond Credit Rating?--Empirical Evidence from China's Shanghai and Shenzhen Stock Exchanges
2
作者 Yuyan Cai 《Proceedings of Business and Economic Studies》 2021年第1期28-34,共7页
This article takes the companies that publicly issued corporate bonds on the Shanghai and Shenzhen Stock Exchanges from 2006 to 2018 as the research objects selecting six aspects that comprehensively reflect the 17 fi... This article takes the companies that publicly issued corporate bonds on the Shanghai and Shenzhen Stock Exchanges from 2006 to 2018 as the research objects selecting six aspects that comprehensively reflect the 17 financial variables in 6 aspects:profitability,operating ability,bond repayment ability,development ability,cash flow and market value of the company.Principal component analysis method and factor analysis method are used to extract the principal factors of these financial indicator variables.That is how an ordered multi-classification Logistic regression model is constructed to test the impact of the Shanghai and Shenzhen Stock Exchanges’financial status on the corporate bond credit rating.It turns out that the financial status of the Shanghai and Shenzhen Stock Exchanges have an important impact on the credit rating of corporate bonds.The financial status has a greater impact on corporate bonds with credit ratings of A-and AA-,while it has a smaller impact on corporate bonds with credit ratings above AA.The results of this article can help individual and institutional investors prevent risks from investing. 展开更多
关键词 Corporate finance Credit rating Factor analysis ordered multi-classification Logistic model
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部