Normal view MARC view ISBD view

Supply and demand analysis of coffee in the Philippines / by Judylyn R. Bandong and Justine Rose D. Redondo.

By:

Bandong, Judylyn R [author]

Contributor(s):

Material type: Text

TextLanguage: English Publication details: Indang, Cavite : Cavite State University- Main Campus, 2019.Description: xiii, 96 pages : illustrations ; 28 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

Subject(s):

DDC classification:

633.73 B22 2019

Online resources:

Click this link to view the Abstract and Table of Contents

Production credits:

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

Abstract: BANDONG, JUDYLYN R. and REDONDO, JUSTINE ROSE D. Supply and demand analysis of coffee in the Philippines. Undergraduate Thesis. Bachelor of Science in Economics. Cavite State University, Indang, Cavite. June 2019. Adviser: Ms. Jenny Beb F. Ebo. The study was conducted to assess the supply and demand of coffee in the Philippines, identify the factors affecting the production and consumption of coffee, identify the relationship of supply and demand of coffee and its market equilibrium, and forecast coffee production and consumption for the next five years. Secondary data about volume of production of coffee, varieties of coffee, price of coffee, price of cacao, area planted to coffee, price of fertilizer, farm wage rate, population, consumption of coffee, and number of typhoons landed were obtained from Philippine Statistics Authority (PSA), International Coffee Organization (ICO), and Philippine Atmospheric, Geophysical and Astronomical Services Administration (PAGASA) respectively. The result of Panel Regression in Fixed Effect Model, Random Effect Model and Pooled OLS Regression showed that area planted, price of cacao and farm wage rate had significant relationship to the production of coffee in the Philippines. Area planted had a positive relationship to the coffee production; however, price of cacao and farm wage rate had negative relationships. Furthermore, the result of Multiple Linear Regression showed that the per capita income had significant relationship and also had positive relationship to the consumption of coffee in the Philippines. Result of the forecasting shows that there will be a decrease in the volume of production and an increase in the volume of consumption of coffee for the next five years (2019 to 2023). The forecasted increase in the volume of coffee consumption, despite the forecasted decrease in coffee production, was attributed to the rising demand for coffee.

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	633.73 B22 2019 (Browse shelf(Opens below))		Link to resource	Room use only	T-8855		00081327

Thesis (Bachelor of Science in Economics major in Business Economics) Cavite State University.

Includes bibliographical references.

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

BANDONG, JUDYLYN R. and REDONDO, JUSTINE ROSE D. Supply and demand analysis of coffee in the Philippines. Undergraduate Thesis. Bachelor of Science in Economics. Cavite State University, Indang, Cavite. June 2019. Adviser: Ms. Jenny Beb F. Ebo.
The study was conducted to assess the supply and demand of coffee in the Philippines, identify the factors affecting the production and consumption of coffee, identify the relationship of supply and demand of coffee and its market equilibrium, and forecast coffee production and consumption for the next five years. Secondary data about volume of production of coffee, varieties of coffee, price of coffee, price of cacao, area planted to coffee, price of fertilizer, farm wage rate, population, consumption of coffee, and number of typhoons landed were obtained from Philippine Statistics Authority (PSA), International Coffee Organization (ICO), and Philippine Atmospheric, Geophysical and Astronomical Services Administration (PAGASA) respectively.
The result of Panel Regression in Fixed Effect Model, Random Effect Model and Pooled OLS Regression showed that area planted, price of cacao and farm wage rate had significant relationship to the production of coffee in the Philippines. Area planted had a positive relationship to the coffee production; however, price of cacao and farm wage rate had negative relationships. Furthermore, the result of Multiple Linear Regression showed that the per capita income had significant relationship and also had positive relationship to the consumption of coffee in the Philippines.
Result of the forecasting shows that there will be a decrease in the volume of production and an increase in the volume of consumption of coffee for the next five years (2019 to 2023). The forecasted increase in the volume of coffee consumption, despite the forecasted decrease in coffee production, was attributed to the rising demand for coffee.

Submitted to the University Library 04/06/2022 T-8855