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The Research Of The Fishing Vessel Owner Borrowing Behavior And Its Influencing Factors

Posted on:2017-04-03Degree:MasterType:Thesis
Country:ChinaCandidate:C L YanFull Text:PDF
GTID:2279330509956382Subject:Industrial Economics
Abstract/Summary:PDF Full Text Request
In recent years, with the continuous development of the rural market economy and the implementation of relevant policies in China, the fishing vessels owners’ borrowing behavior is constantly active and changing. But the current most of domestic research on this aspect focus on the macro-level, the articles is almost in a blank which is in-depth investigation to obtain detailed data and analysis of fishing vessel owners’ borrowing behavior as well as its influencing factors. Jiangsu Province as the eastern coastal developed regions of China, which has a relatively high level of economic development and whose per capita income level rank in front in China. Ganyu County is one of the most developed fishing industry in Jiangsu Province, where the frequency and amount of borrowing behavior of fishing vessel owners are more active than other areas. It has important practical significance for the corresponding policy recommendations and know of the characteristics and influencing factors of characteristics and influencing factors of, through the research on the fishing vessel owner’s borrowing behavior in specific areas.Based on the purpose to understand the fishing vessel owners borrowing behavior,what kind of factors that affect the fishing vessel owners borrowing behavior and how can the factors affect the fishing vessel owners borrowing behavior in specific area. This paper through home interviews and questionnaire survey about borrowing behaviors for 50 households in Ganyu County, Jiangsu Province, from collection and analysis of the overall situation of fishing vessel owners’ borrowing behaviors, loan size, loan applications, borrowing channel, loan interest rate and loan term to understand basic characteristics of fishing vessel owners’ borrowing practices. And take this as the foundation, firstly, using the gray correlation analysis to determine whether the fishing vessel owners would buy new ships, engaged in fishing industry time, net income, the education time of the fishing boat owners, fuel subsidies and family engaged in fishing operations have influence and influence ranking judgments for the fishing vessel owners’ borrowing behaviors. Then, using statistical single factor analysis method to analyze the six factors for the role of direction of fishing total loan amount, amount of formal financial borrowing and informal finance loan amount. We found that some factors cannot use general statistical analysis to determine. Finally, we use the Tobit measurement model which can determine the direction of action to do multiple regression analysis, draw the conclusion, and provide some suggestions.The main conclusions of this paper are as follows:Firstly, the fishing vessel owners’ demand for loans is very high in the A village, its borrowing needs can be satisfied by formal financial channels and folk financial channels. However, the main repayment pressure that the fishing vessel owners should pay the principal and interest is very great, which maybe lead the fishing vessel owners’ economic situation complex and deteriorated.Secondly, the formal financial institutions for fishing vessel owners’ support is still large, because the loan application put forward from the fishing vessel owners basically can be able to get a loan. Compared to folk finance, formal finance in the loan amount to be smaller. However, due to the formal financial channels of the loan approval process cumbersome, so in an urgent need of funds at the time of the fishing boat owners still have to choose a faster folk lending channels.Thirdly, the main reason for the large amount of fishing vessel owners is that the cost of fishing operations in the area has continued to rise in recent years. The continuous rising cost of fuel、nets and crew wage are the three main reason.Fourthly, in this paper, through the single factor analysis of the general statistical method and Tobit model multiple regression analysis method of six factors influence owners total loan and formal financial loan and folk financial loan amount were analyzed, the results show that the influencing factors also have significant influence on the fishing vessels owners’ total loan amount, formal financial loans amount and folk financial loan amount is the education time of the fishing vessel owners. The influencing factors have significant influence on the fishing vessels owners’ total loan amount and folk financial loan amount including the he time that fishing vessels owner engaged in fishing industry and the amount of fishing vessels owner’ family member on each fishing vessel. Only has effect on fishing vessels owners’ folk financial loan amount is the amount of fuel oil subsidies received by the owners of the fishing vessel. Only has effect on the fishing vessels owners’ total loan amount is the net income(excluding oil supplement) of fishing vessels owner.
Keywords/Search Tags:fishing vessel owners, borrowing behavior, fuel subsidies, grey relational degree, tobit model
PDF Full Text Request
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