The consumer is an important factor to measure the performance of the rice agri-food value chain in East Timor. The purpose of this work is to identify the links in the rice chain, as well as to do the consumers' characterization, along with their segments. The methodologies used to represent the functioning of consumer preferences are cluster analysis, applied the K-Mean method, qualitative nature, exploratory factor analysis (EFA) and regression analysis. It was constituted a sample of 240 rice consumers in the county of Dili, capital of East Timor, and the questionnaire was conducted in the presence of the researcher. As consumers become more aware and experience higher purchasing standards, failure to consider their concerns will affect the profit of value chain participants, many of whom will need to update their practices. The result of KMO statistic, 0.781, shows that the quality of the analysis is good and the null hypothesis of Bartlett's test of sphericity was rejected. It was found the existence of two components, with the first having a greater weight of variables in relation to distance, transportation and availability, while the second component has a greater weight on variables related to quality, human benefit and healthy living. The first component was considered as Access and the second as Quality. Regarding the segmentation of consumers, we proceeded to create two distinct groups of rice consumers. Group I, composed of 171 individuals, and a Group II, with 69 individuals. Both groups considered rice to be the key food element, particularly important for the Timorese population.
The aim of this article is to analyse the rice value chain in Bobonaro, Timor-Leste, from the producer's point of view, for this purpose, the Data Envelopment + Analysis (DEA), Tobit and Regression. The sample consisted of 200 rice producers in one municipality, namely Bobonaro. The results showed that the production scale presented increasing returns in about 96%. Only 3% of the sample surveyed showed an efficient scale and about 1% presented a production scale with decreasing returns. The results of multiple linear regression analyses show that the model has a degree of adjustment of 10.6%, and the model is statistically significant. The estimated coefficients are statistically significant for Land, Seeds, Capital and IR8 Variety. There are many factors that influence the decision-making of producers when selling their rice products. Rice distribution chains operate through various channels, including traders, companies, wholesalers, retailers and agents.
In Timor-Leste, rice is a source of livehood and a staple food. However, it presents persistently low yield, quality, price, and value to consumers, which, allied with climate projections and pressure for higher quality and productivity, raised logistics costs, and subsidized imports, creates a need to identify drivers/inhibitors of sustainable development. This chapter investigates rice agri-food chain sustainable development by recording the main actors involved and understanding their perspectives. Interviews, questionnaires, observation, and focus group have been applied to understand how sustainable development can be triggered. Results show that actors are not accurately coordinated to find a future sustainable development. An alignment of activities, innovation, best practices, and cooperation are recommended towards a future sustainability plan as a starting point to agrifood rice development. Each element of this development should be measured and quantified in future research.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.