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Assessing the Rice Production and Its Determinants

Empirical Evidence from Albuera, Leyte, Philippines

Bibliographic Data

ID19587665
AuthorsLeomarich F Casinillo (0000-0003-3966-8836, Visayas State University), Adnan N Balisi (0000-0001-5045-4471), Herbert S Rebojo (0000-0001-5532-8773, Visayas State University), Virgelio C Dargantes Jr (0000-0002-7077-6301, Visayas State University)
Year2023
Volume6
Issue1
Pages85-93
Publication date2023-05-03
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePhilippine Social Science Journal (JOURNAL)
Journal identifiersISSN: 2672-3107 • E-ISSN: 2704-288X
PublisherUniversity of Negros Occidental - Recoletos (PUBLISHER)
DOI10.52006/main.v6i1.644
OpenAlexW4372347199
LanguageEN
References cited3

Rice is the most important crop grown in the Philippines since it is an essential food and a source of income for many Filipinos. The study’s purpose is to determine the various influencing factors affecting the rice production of small-scale farmers in Albuera, Leyte, Philippines. Using Slovin’s formula, a total of 73 rice farmers were randomly selected as respondents to the survey. Some descriptive techniques were employed to summarize the different variables. A categorical relationship analysis using a Chi-square test was used to analyze the significant factors of rice production. Results showed that about 57.53% and 42.47% of the farmers are experiencing low and high production levels, respectively. On average, rice farmers are "moderately affected" (M=23.00, SD=4.55) by the different constraints in the rice production process from planting to harvesting. In addition, farmers are "uncertain" (M=19.67, SD=3.01) about the effectiveness and usefulness of extension agents' role in their production process. Moreover, it is revealed that the demographic profile, constraints in rice farming, and extension agents' role does not affect the farmers' rice production level. On the other hand, other sources of income (p=0.034), monthly income in farming (p=0.13), and farm size (p

Agricultural economics · Agricultural science · Agriculture · Biology · Business · Descriptive statistics · Economics · Geography · Livelihood · Rice farming · Statistics · Agricultural Economics and Practices · Fisheries and Aquaculture Studies · Livestock Management and Performance Improvement · Mathematics

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