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Supply analysis of cacao in the Philippines / by Marizel E. Baurile.

By:

Baurile, Marizel E [author]

Contributor(s):

Cresino, Nelia C [adviser]

Material type: Text

TextLanguage: English Publication details: Indang, Cavite : 1998. Cavite State University- Main Campus,Description: 60 pages : illustrations ; 28 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

Subject(s):

DDC classification:

633.74 B32 1998

Online resources:

Click here to view thesis abstract and table of contents

Production credits:

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

Abstract: Baurile, Marizel Espiritu. "Supply Analysis of Cacao in the Philippines", B.S. Thesis, Bachelor of Science in Business Management, Major in Economics, Cavite State University, Indang, Cavite. April 1998. Adviser: Dr. Nelia C. Cresino. 'Ihe study was conducted primarily to analyze the supply of cacao in the Philippines. Specifically, it aimed to describe the status of cacao industry in the county; mid identify the different factors affecting the supply of cacao. Secondary data from 1980 to 1996 were used in this study. Data were analyzed using multiple regression analysis. Based on the result of analysis, only the area planted to cacao showed a significant relationship with the supply of cacao (P<0.05). coefficient of determination (R2) was .6749 which implies that 67 percent of the total variation in the supply of cacao was explained by the explanatory variables such as the price of cacao, price of coffee, price of fertilizer, farm wage rate, annual frequency of tropical cyclones, government policy and area planted which included in the model. The F-value was significant at five percent level which implies that the explanatory variables included in the model affect the supply of cacao. For the urea response function, results showed that price of cacao and price of fertilizer were significant at five percent level (P<0.05). 'Ihe regressions line has a good fit with a computed R2 value of 0.52295. The F-value was significant at five percent level (P<O.05) which means that price of cacao, price of coffee price of fertilizer and farm wage rate affect the area devoted to cacao production. Moreover, the government must take a part to further improve the industry by creating policies mid agency which will directly work on this.

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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	633.74 B32 1998 (Browse shelf(Opens below))		Link to resource	Room use only	T-1822		00017548

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Previous	633.74 Ar1 1998 Status and prospects of cacao production in Cavite /	633.74 Av5 1996 Production and marketing practices of cacao growers in selected towns of Cavite /	633.74 Ay6 1997 Roasting methods and different varieties of cacao in the development of tabliya blends /	633.74 B32 1998 Supply analysis of cacao in the Philippines /	633.74 B34 1996 Processing of cacao seeds into tabliya using fermentation method /	633.74 B44 1983 The Biology of the cacao pod borer, Acrocercops cramerela Sn. (Lepidoptera: Gracillariidae) with emphasis on its distribution in Davao Provinces and South Cotabato and its natural enemies /	633.74 B46 2017 Cacao (Theobromacacao) seedling production business enterprise /	Next

Thesis (BSBM - - Economics) Cavite State University.

Includes bibliographical references.

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

Baurile, Marizel Espiritu. "Supply Analysis of Cacao in the Philippines", B.S. Thesis, Bachelor of Science in Business Management, Major in Economics, Cavite State University, Indang, Cavite. April 1998. Adviser: Dr. Nelia C. Cresino.
'Ihe study was conducted primarily to analyze the supply of cacao in the Philippines. Specifically, it aimed to describe the status of cacao industry in the county; mid identify the different factors affecting the supply of cacao.
Secondary data from 1980 to 1996 were used in this study. Data were analyzed using multiple regression analysis.
Based on the result of analysis, only the area planted to cacao showed a significant relationship with the supply of cacao (P<0.05). coefficient of determination (R2) was .6749 which implies that 67 percent of the total variation in the supply of cacao was explained by the explanatory variables such as the price of cacao, price of coffee, price of fertilizer, farm wage rate, annual frequency of tropical cyclones, government policy and area planted which included in the model. The F-value was significant at five percent level which implies that the explanatory variables included in the model affect the supply of cacao.
For the urea response function, results showed that price of cacao and price of fertilizer were significant at five percent level (P<0.05). 'Ihe regressions line has a good fit with a computed R2 value of 0.52295. The F-value was significant at five percent level (P<O.05) which means that price of cacao, price of coffee price of fertilizer and farm wage rate affect the area devoted to cacao production.
Moreover, the government must take a part to further improve the industry by creating policies mid agency which will directly work on this.

Submitted to the University Library 05/04/1998 T-1822