Date of Publication

2022

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Statistics Major in Actuarial Science

Subject Categories

Mathematics

College

College of Science

Department/Unit

Mathematics and Statistics Department

Thesis Advisor

Vio Jianu C. Mojica

Defense Panel Chair

Regina M. Tresvalles

Defense Panel Member

Karl Man. S. Collado

Abstract/Summary

Rice is a staple in most Filipinos’ meals. Knowing that this plays a huge role in their diets, this study aims to determine if location affects rice prices, and if so, the extent of its effect. The proponents also explore the possible factors associated with rice prices across different regions. To do these, the researchers utilize regional and provincial data on rice prices to test for spatial autocorrelation, then identify possible clusters that may arise from the data. Moreover, spatial regression models are used to study the possible relationships of several economic factors and rice prices. With that said, the price of rice was revealed to exhibit spatial autocorrelation in both provincial and regional levels. While provincial rice prices manifest weakly positive spatial autocorrelation, regional rice prices demonstrate stronger negative spatial autocorrelation. Though there appeared to be no significant clusters in the regional level, provincial rice prices demonstrated clusters with peaks in agricultural areas that produce rice and drops in less accessible areas. Furthermore, socioeconomic variables relating to government support in the agricultural sector, palay production, corn production, fertilizer prices, and salary of farmers were found to have a significant correlation with rice prices. Each of these socioeconomic factors proved to have a significant effect on rice prices, through simple linear regression. Adding to that, covariates relating to the size of irrigable area as well as the average dealers' prices of complete fertilizers were concluded to have the Moran’s I with the lowest p-value, once location is taken into account, based on the spatial Durbin model and the—more appropriate—spatial error model. Knowing this, the data in the study may enable government agencies to better monitor and effectively plan policies concerning rice prices across the country.

Abstract Format

html

Language

English

Format

Electronic

Physical Description

25 leaves

Keywords

Rice—Prices--Philippines

Upload Full Text

wf_yes

Embargo Period

7-9-2022

Download

Share

COinS