Measuring the economic impact of weather determinants on agriculture of Davao Region : (Record no. 3436)

MARC details
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001 - CONTROL NUMBER
control field UPMIN-00010019642
003 - CONTROL NUMBER IDENTIFIER
control field UPMIN
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230518160726.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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040 ## - CATALOGING SOURCE
Transcribing agency UPMin
090 #0 - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) LG993.5 2017 A3
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) S46
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Sentones, Shem Rufus Q.,
Relator term author
9 (RLIN) 7579
245 ## - TITLE STATEMENT
Title Measuring the economic impact of weather determinants on agriculture of Davao Region :
Remainder of title a Ricardian approach /
Statement of responsibility, etc. Shem Rufus Q. Sentones; Pedro A. Alviola IV., adviser
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2017
300 ## - PHYSICAL DESCRIPTION
Extent 36 leaves
502 ## - DISSERTATION NOTE
Dissertation note Thesis (BS Agribusiness Economics) -- University of the Philippines Mindanao, May 2017
520 3# - SUMMARY, ETC.
Summary, etc. Thirty-two percent of the Filipino workforce are employed in agriculture-related activities. Thirty-seven percent of the employment of Davao region is on agriculture-related jobs. Many studies show that a change in weather variables affects the net revenue of a farm per hectare. Farmers are very dependent on weather and weather variables such as rainfall because of its effects on farm yield of their farms. However, erratic weather patterns make agricultural production vulnerable. This research aimed to measure the impact of weather determinants to the net income of rice and corn farmers in Davao Region. This research used a Ricardian Approach as a method to identify the impact of weather on the net income of farmers. Two wets of models were estimated, one set of models uses the average values for weather variables and the other uses standard deviation. The models consist of two Ordinary Least Squares (OLS) models and one Least Absolute Deviation (LAD) model. An OLS model with robust standard errors and the other with bootstrapped standard errors. The results of all models showed that selecting rice farming over corn farming can affect the net income of farms per hectare and five models showed that membership of livelihood associations has positive effect in net income. Using Akaike information criterion, the LAD model with standard deviation of weather variables is identified as the model that best fits the data. The model shows that both rice and air humidity significantly affects the net income of farmers. Those who are into rice farming have more net income by around Php 44,000 per hectare compared to those who are into corn farming. An additional 1 unit (%) of the variability of the air humidity can decrease the net income of farmers by around Php 20,400 per hectare. The study concludes that an increase in the variability of weather patterns can significantly affect the net income. It also concludes that choices in a commodity can affect net income.
658 ## - INDEX TERM--CURRICULUM OBJECTIVE
Main curriculum objective Undergraduate Thesis,
Curriculum code ABE 200b
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Alviola, Pedro A. IV,
Relator term adviser
9 (RLIN) 1513
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
a Fi
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a UP
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Thesis
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Status Collection Home library Current library Shelving location Date acquired Source of acquisition Accession Number Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Room-Use Only School of Management School of Management Theses 2017-10-18 donation SOM-T-gd3546   LG993.5 2017 A3 S46 3UPML00019638 2022-10-05   2022-10-05 Thesis
    Library of Congress Classification   Not For Loan Preservation Copy University Library University Library Archives and Records 2017-10-18 donation UAR-T-gd2815   LG993.5 2017 A3 S46 3UPML00037462 2022-10-05 1 2022-10-05 Thesis
    Library of Congress Classification   Not For Loan Preservation Copy University Library University Library Archives and Records 2017-10-18 donation UAR-T-gd2816   LG993.5 2017 A3 S46 3UPML00037463 2022-10-05 2 2022-10-05 Thesis
 
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