MARC details
000 -LEADER |
fixed length control field |
02548nam a22002533a 4500 |
001 - CONTROL NUMBER |
control field |
UPMIN-00019565626 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
UPMIN |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20230415130957.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
230415b |||||||| |||| 00| 0 eng d |
040 ## - CATALOGING SOURCE |
Transcribing agency |
UP Min |
041 ## - LANGUAGE CODE |
Language code of text/sound track or separate title |
eng |
090 #0 - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
LG 993.5 2019 A3 |
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) |
D49 |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Deximo, Gloriline, |
Relator term |
author |
9 (RLIN) |
3378 |
245 ## - TITLE STATEMENT |
Title |
Impact of risk attitudes on income level among farmers in Digos City, Davao del Sur / |
Statement of responsibility, etc. |
Gloriline Deximo; Roxanne T. Aguinaldo, adviser |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Date of publication, distribution, etc. |
2019 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
56 leaves |
502 ## - DISSERTATION NOTE |
Dissertation note |
Thesis (BS Agribusiness Economics) -- University of the Philippines Mindanao, May 2019 |
520 3# - SUMMARY, ETC. |
Summary, etc. |
Risk is the possibility of losing the original investment without seeing them multiply. In agriculture, it can be found in weather changes, yield, and outcomes that affect farmer's overall welfare. In this study, farmers? reaction to risks vary and it has two classifications: risk-preferring or risk averse, these are risk attitudes. The purpose of this research is to analyze the impact of farmer's risk attitudes on the income level of farmers in Barangay Binaton and Kapatagan, Digos City. The data were analyzed using Descriptive Statistics, Risk Behavioral Model (Safety-first Principle), Ordinary Least Squares, Analyzing Sources of Risk, Personal Interview of the farmers in the area. The model reveals that farm size and risk index affect the income level of farmers by 1% number of children and non-farm income significantly affects the income level by 5%; and in terms of location, the geographic characteristics and the economy of Binaton and Kapatagan reasonably justifies 19% significance in the result. Out of the 82 farmers, 71 (87.80%) are risk averse, while 10 farmers (12.20%) have propensity of risk. The top three reasons on the types of risk that mostly concern farmers are Pest, Lack of Capital and Price Fluctuation. Farmers who have higher propensity for risk tends to also have higher income. The step-wise analyses in addition to the regression results used in estimating the correlation of risk attitude and income level of farmers indicates that: income level has a huge determinant if a farmer will continue farming or not. High degree of risk aversion is a call for change in terms of farmers? attitude. Thus, it can be said that risk attitude is directly proportional to income level. |
658 ## - INDEX TERM--CURRICULUM OBJECTIVE |
Main curriculum objective |
Undergraduate Thesis |
Curriculum code |
ABE 200b, |
Source of term or code |
BSABE, School of Management |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Aguinaldo, Roxanne T., |
Relator term |
adviser |
9 (RLIN) |
1546 |
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
a |
Fi |
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
a |
UP |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Library of Congress Classification |
Koha item type |
Thesis |