Normal view MARC view ISBD view

Supply analysis of cassava in the Philippines, 1990-2012 / by Jhannie Jay B. Tumios.

By:

Tumios, Jhannie Jay B [author]

Contributor(s):

Cresino, Nelia C [adviser]

Material type: Text

TextLanguage: English Publication details: Indang, Cavite : 2015. Cavite State University- Main Campus,Description: xiii, 65 pages : illustrations ; 28 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

Subject(s):

DDC classification:

363.8 T83 2014

Online resources:

Click here to view thesis abstract and table of contents

Production credits:

College of Economics, Management, and Development Studies (CEMDS)

Abstract: TUMLOS, JHANNIE JAY B. "Supply Analysis of Cassava in the Philippines, 1990-2012". Undergraduate Thesis. Bachelor of Science in Economics, major in Agricultural Economics. Cavite State University, Indang, Cavite. October 2014. Adviser: Dr. Nelia C. Cresino. The study was conducted to analyze the supply of cassava in the Philippines from 1990- 2012. Specifically, it aims to describe the status of cassava in the Philippines, determine the relationship between supply of cassava and the selected variables, and project the supply of cassava for the next five years. Secondary data from 1990-2012 were used in the study. Data were gathered from the Philippine Statistics Authority (PSA) - Bureau of Agricultural Statistics (BAS), University of the Philippines at Los Banos, and Philippine Atmospheric Geophysical and Astronomical Services Administration (PAG-ASA). Regression analysis was used in the analysis of data. The results of multiple regression showed that the supply of cassava is significantly affected by price, area harvested, and farm wage rate. The price of cassava indicated a positive coefficient of 76.91 which implies that for every P1.00 increase in price, there would be an additional 76.91 metric tons in the supply of cassava. Area harvested proved to be highly significant, with a positive coefficient of 17.68 which indicates that for every 1 hectare increase in area harvested, the supply of cassava would increase by 17.68 metric tons. Farm wage rate posted a negative coefficient of 16057.06 which indicates that for every P1.00 increase in wage rate of worker, there would be a 16,057.06 metric tons decrease in supply of cassava. The result shows that 89 percent of the total variation in the study on supply of cassava can be explained by the independent variables in the model namely: farm gate price of cassava, farm gate price of maize, area harvested, price of fertilizer, amount of rainfall, farm wage rate, and government policy.

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Title notes ( 5 )

Holdings
Item type	Current library	Collection	Call number	Materials specified	URL	Status	Notes	Date due	Barcode
Theses / Manuscripts	Ladislao N. Diwa Memorial Library Theses Section	Non-fiction	363.8 T83 2014 (Browse shelf(Opens below))		Link to resource	Room use only	T-5660		00009173

Thesis ( BS Economics--Agricultural Economics ) Cavite State University

Includes bibliographical references.

College of Economics, Management, and Development Studies (CEMDS)

TUMLOS, JHANNIE JAY B. "Supply Analysis of Cassava in the Philippines, 1990-2012". Undergraduate Thesis. Bachelor of Science in Economics, major in Agricultural Economics. Cavite State University, Indang, Cavite. October 2014. Adviser: Dr. Nelia C. Cresino.

The study was conducted to analyze the supply of cassava in the Philippines from 1990- 2012. Specifically, it aims to describe the status of cassava in the Philippines, determine the relationship between supply of cassava and the selected variables, and project the supply of cassava for the next five years. Secondary data from 1990-2012 were used in the study. Data were gathered from the Philippine Statistics Authority (PSA) - Bureau of Agricultural Statistics (BAS), University of the Philippines at Los Banos, and Philippine Atmospheric Geophysical and Astronomical Services Administration (PAG-ASA). Regression analysis was used in the analysis of data. The results of multiple regression showed that the supply of cassava is significantly affected by price, area harvested, and farm wage rate. The price of cassava indicated a positive coefficient of 76.91 which implies that for every P1.00 increase in price, there would be an additional 76.91 metric tons in the supply of cassava. Area harvested proved to be highly significant, with a positive coefficient of 17.68 which indicates that for every 1 hectare increase in area harvested, the supply of cassava would increase by 17.68 metric tons.

Farm wage rate posted a negative coefficient of 16057.06 which indicates that for every P1.00 increase in wage rate of worker, there would be a 16,057.06 metric tons decrease in supply of cassava. The result shows that 89 percent of the total variation in the study on supply of cassava can be explained by the independent variables in the model namely: farm gate price of cassava, farm gate price of maize, area harvested, price of fertilizer, amount of rainfall, farm wage rate, and government policy.

Submitted copy to the University Library. 04/20/2015 T-5660