TITLE:
Assessment of Key Players in the Special Rice Value Chain in Nueva Ecija, Philippines
AUTHORS:
Johnah Jefferson S. Mercado, Edilyn V. Lansangan, Eugenia G. Baltazar, Armando C. Lagasca, Erwin M. Valiente
KEYWORDS:
Constraints, Interventions, Value-Addition
JOURNAL NAME:
Open Journal of Ecology,
Vol.13 No.6,
June
28,
2023
ABSTRACT: This study traced the special rice value chain, described the various players’ roles, assessed the identified chains’ performance, determined the constraints and opportunities, and identified interventions to improve the special rice value chain in the province. Key informant interviews with government and nongovernment organizations (NGOs) and surveys among different special rice value chain players were done. The special rice industry in Nueva Ecija is relatively limited and consists of aromatic, pigmented, and glutinous rice. The value chain mapping for special rice in Nueva Ecija starts downstream (traders) and moves upstream (input provider). Some of the identified constraints within the market levels of the chain are as follows: Farmers’ limited access to affordable yet quality seeds, the volatility of the price of paddy rice in the market, and the rapid changes in the prices of production inputs, such as seeds, fertilizers, pesticides, and others. Moreover, natural factors like typhoons, floods, droughts, insect pests, and weeds were noted. One major problem identified by the institutional buyers was the limited demand for special rice. To improve competitiveness, the special rice industry should focus on developing and promoting pest-resistant varieties and cost-reducing technologies. Furthermore, promoting special rice among consumers is needed to increase demand and encourage more farmers to engage in special rice production. The government agencies should continue supporting special rice farmers not only in production but also in postharvest and marketing aspects. Provision of seminars, trainings, and machinery related to special rice is recommended. Regression analysis using backward method of analysis was found to be significant in three (3) variables, namely, household size, years in school, and labor.