000 02789nam a22002293a 4500
001 UPMIN-00006142031
003 UPMIN
005 20230504151028.0
008 230504b |||||||| |||| 00| 0 eng d
040 _aupmin
_cUP Min
041 _aeng
090 0 _aLG993.5 2012 A3
_bM37
100 1 _aMarimon, Churwyn B.,
_eauthor.
_93727
245 1 0 _aThe corn farmers' demand for agricultural microfinance in Valencia City, Bukidnon /
_cChurwyn B. Marimon ; Nikko L. Laorden, adviser.
300 _aix, 128 leaves :
_billustrations
502 _aThesis, Undergraduate (BS Agribusiness Economics)-- University of the Philippines, Mindanao
520 3 _aAgricultural microfinance has increasingly been considered as an important tool for improving the economic lives of the poor farmers in the Philippines. This paper presents an impirical investigation on the demand and borrowing decisions of the corn farmers in Valencia City, Bukidnon. 20 Barangays were randomly selected and primary data were collected from a survey administered to 97 corn farmers. Both qualitative and quantitative analyses were applied in the study. On the qualitative part, descriptive statistics was used while on the quantitative approach, three models estimated: the logliner demand model using ordinary least square (OLS) and two choice models using multinomial and conditional logistic regression. The results revealed that in the logliner demand model, interest rate from both sources, income, age, years spent being a client of formal microfinance, distance of MFI offices from respondents' farm, land hectare, frequency of repayment problems, crop failure and educational attainment can significantly affect the corn farmers' demand for microloan. However, the latter two have counter-intuitive results. In the multinomial logit (choice) model, four borrowing options were considered and results have shown that corn farmers would decide first to borrow from an informal lender, followed by opting not to borrow, then borrowing from both sources and lastly deciding to borrow from formal sources with a probability of 37.^%, 34.4%, 20.3% and 7.65%, respectively. On the other hand, the results from the conditional logit (choice) model have not shown any in conformity with the Law of Demand. The study concluded that being a client of agricultural microfinance will have an improved farm income and still, interest rate could hinder the farmers from borrowing to these formal microfinance institutions (MFIs). Thus, some possible strategies worth considering in an attempt to balance out both ends: success in the microfinance business by these MFIs and upholding the welfare of the poor farmers.
700 1 _aLaorden, Nikko L.,
_eadviser.
_91605
905 _aFI
905 _aUP
942 _2lcc
_cTHESIS
999 _c2774
_d2774