STATISTICAL MODEL FOR SOME CONSTRAINTS AFFECTING THE LEVEL OF RICE FARMERS’ INCOME

Rice farming is one of the main sources of income in many rural areas in the Philippines. The purpose of this study is to model the different constraints that influence the level of rice farmers' income in Albuera, Leyte, Philippines. Survey data from an available sample of participants were ga...

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Main Authors: Leomarich F. CASINILLO, Emily L. CASINILLO, Virgelio C. DARGANTES JR.
Format: Article
Language:English
Published: University of Agricultural Sciences and Veterinary Medicine, Bucharest 2023-01-01
Series:Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development
Online Access:https://managementjournal.usamv.ro/pdf/vol.23_1/Art11.pdf
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author Leomarich F. CASINILLO
Emily L. CASINILLO
Virgelio C. DARGANTES JR.
author_facet Leomarich F. CASINILLO
Emily L. CASINILLO
Virgelio C. DARGANTES JR.
author_sort Leomarich F. CASINILLO
collection DOAJ
description Rice farming is one of the main sources of income in many rural areas in the Philippines. The purpose of this study is to model the different constraints that influence the level of rice farmers' income in Albuera, Leyte, Philippines. Survey data from an available sample of participants were gathered through a face-to-face interview consisting of the rice farmers' income and its determining constraints. Some descriptive measures were calculated to summarize the gathered variables and ordinary least square (OLS) regression analysis was employed to predict the significant constraints of farmers' monthly income. Results revealed that the rice farmers' monthly income is below the poverty line as the Philippine poverty threshold is concerned, that is, rice farmers in rural areas are considered "poor". The farmers have said that their rice production and income level are “affected” by the following constraints: “high prices of agricultural inputs”, “inadequate capital”, and “pest and diseases”. Additionally, their rice production and income are moderately affected by “lack of credit facilities”, “lack of technical services”, and “weeds”. Moreover, the two constructed statistical models showed that the following constraints are significant factors affecting the income level of rice farmers: “high prices of agricultural inputs”, “lack of credit facilities”, “high cost of transportation", "low educational attainment", and "land rent". Conclusively, farmers are in need of assistance from the local government concerning access to credit for capital, adoption of new technologies in farming, and other facilities that might improve their production. Furthermore, farmers must undergo some seminars and training to strengthen their knowledge of rice farming and improve their practices to increase their level of production, well-being, and monthly income.
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spelling doaj-art-8f47bfabee2a4fd2b55150ba98be7b3e2025-08-20T03:20:38ZengUniversity of Agricultural Sciences and Veterinary Medicine, BucharestScientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development2284-79952285-39522023-01-0123189963111STATISTICAL MODEL FOR SOME CONSTRAINTS AFFECTING THE LEVEL OF RICE FARMERS’ INCOMELeomarich F. CASINILLOEmily L. CASINILLOVirgelio C. DARGANTES JR.Rice farming is one of the main sources of income in many rural areas in the Philippines. The purpose of this study is to model the different constraints that influence the level of rice farmers' income in Albuera, Leyte, Philippines. Survey data from an available sample of participants were gathered through a face-to-face interview consisting of the rice farmers' income and its determining constraints. Some descriptive measures were calculated to summarize the gathered variables and ordinary least square (OLS) regression analysis was employed to predict the significant constraints of farmers' monthly income. Results revealed that the rice farmers' monthly income is below the poverty line as the Philippine poverty threshold is concerned, that is, rice farmers in rural areas are considered "poor". The farmers have said that their rice production and income level are “affected” by the following constraints: “high prices of agricultural inputs”, “inadequate capital”, and “pest and diseases”. Additionally, their rice production and income are moderately affected by “lack of credit facilities”, “lack of technical services”, and “weeds”. Moreover, the two constructed statistical models showed that the following constraints are significant factors affecting the income level of rice farmers: “high prices of agricultural inputs”, “lack of credit facilities”, “high cost of transportation", "low educational attainment", and "land rent". Conclusively, farmers are in need of assistance from the local government concerning access to credit for capital, adoption of new technologies in farming, and other facilities that might improve their production. Furthermore, farmers must undergo some seminars and training to strengthen their knowledge of rice farming and improve their practices to increase their level of production, well-being, and monthly income.https://managementjournal.usamv.ro/pdf/vol.23_1/Art11.pdf
spellingShingle Leomarich F. CASINILLO
Emily L. CASINILLO
Virgelio C. DARGANTES JR.
STATISTICAL MODEL FOR SOME CONSTRAINTS AFFECTING THE LEVEL OF RICE FARMERS’ INCOME
Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development
title STATISTICAL MODEL FOR SOME CONSTRAINTS AFFECTING THE LEVEL OF RICE FARMERS’ INCOME
title_full STATISTICAL MODEL FOR SOME CONSTRAINTS AFFECTING THE LEVEL OF RICE FARMERS’ INCOME
title_fullStr STATISTICAL MODEL FOR SOME CONSTRAINTS AFFECTING THE LEVEL OF RICE FARMERS’ INCOME
title_full_unstemmed STATISTICAL MODEL FOR SOME CONSTRAINTS AFFECTING THE LEVEL OF RICE FARMERS’ INCOME
title_short STATISTICAL MODEL FOR SOME CONSTRAINTS AFFECTING THE LEVEL OF RICE FARMERS’ INCOME
title_sort statistical model for some constraints affecting the level of rice farmers income
url https://managementjournal.usamv.ro/pdf/vol.23_1/Art11.pdf
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AT virgeliocdargantesjr statisticalmodelforsomeconstraintsaffectingthelevelofricefarmersincome