Supply analysis of rice in the Philippines / by Berwyn A. Pinpin.
Material type:
TextLanguage: English Publication details: Indang, Cavite : 1997. Cavite State University- Main Campus,Description: xii, 68 pages : illustrations ; 28 cmContent type: - text
- unmediated
- volume
- 633.18 P65 1997
- College of Economics, Management, and Development Studies (CEMDS)
| Item type | Current library | Collection | Call number | Materials specified | URL | Status | Notes | Date due | Barcode |
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Theses / Manuscripts
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Ladislao N. Diwa Memorial Library Theses Section | Non-fiction | 633.18 P65 1997 (Browse shelf(Opens below)) | Link to resource | Room use only | T-1693 | 00002446 |
Thesis (BSBM - - Agribusiness) Don Severino Agricultural College.
Includes bibliographical references.
College of Economics, Management, and Development Studies (CEMDS)
Pinpin, Berwyn Arcal. Supply Analysis of Rice in the Philippines ", B. S. Thesis, Bachelor of Science in Business Management Major in Agribusiness, Don Severino Agricultural College, Indang, Cavite 1997.
This study was conducted primarily to derive information pertaining to the supply of rice in the Philippines. Specifically, it aimed to: (1) describe the rice industry in the Philippines; (2) identify and describe the government policies governing rice industry; and (3) determine the different factors affecting the supply of rice in the Philippines.
Secondary data were used in the study to analyze the supply of rice in the Philippines. Data on farm prices of the commodities, farm wage rates, annual frequency of tropical cyclones and area planted to rice were obtained from the Bureau of Agricultural Statistics (BAS). Prices of fertilizer were secured from the Fertilizer and
Pesticide Authority (FPA) while other valuable information was obtained from the Department of Agriculture (DA) Library. Multiple Linear Regression was used to analyze the data. The analysis covered the period 1970 to 1995.
With the use of full model regression method, it was found out that technology was significantly associated with the supply of rice. Also, the results revealed that the regression line has a good fit with an adjusted R2 value of .9565. This means that 95.65 percent of the variation in rice supply is being explained by the variables included in the model while 4.35 percent can be explained by other variables not included in the model.
The computed f value was .0000 which is significant at five percent level.
Using the Stepwise Regression Method, farm wage rates, area planted to rice, technologies and policy 1 were found to be significant at five percent level. The adjusted r2 was also high in this method.
The price elasticity of rice supply is inelastic. Hence, for every 100 percent change in the price of rice, there was a corresponding change in its supply by 16 percent.
For the Area Response Function, findings revealed that, the creation of National Grain Authority had motivated farmers to increase their area planted to rice. The regression line has a good fit with a computed r-squared value of .7135. The computed F value of 0.0048 shows that all variables in the model had significantly affected the area planted to rice.
Using the Stepwise Regression Method for the data, price of rice, price of corn, price of fertilizer, policy 1, policy 2 and supply were found to be significant at five percent level while the other variables did not meet the criteria. Also in this method, the computed r-squared has decreased but the computed f value is still significant at five percent.
To boost the rice industry in the Philippines, the government should implement more programs on rice farming technology and should also extend financial, technical and other forms of assistance to rice farmers.
Submitted to the University Library 04/08/1997 T-1693