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Farmer organizations (FOs) can elevate many of the production- and marketing-related challenges by ensuring access to technology, farming information and loan for inputs and mechanization. This study assesses the major factors that affect the participation in FOs by the smallholder rice farmers in Bangladesh and evaluates the impacts of the participation on rice yield and production efficiency.

The present study used primary data collected from 1,000 smallholder rice farmers in northwest Bangladesh, consisting of 250 farmers those participated in an organization. This study utilized a sample selection stochastic production frontier (SPF) method, a combination of the conventional SPF and the Heckman's sample selection model, to control for biases stemming from observed and unobserved attributes.

This study demonstrates that participation in an organization is significantly affected by smallholder rice farmers' education, occupation, family size, household income, land ownership and the location where they reside. At the same time, the participation status affects the productivity of smallholder farmers. Findings indicate that farmers who participated in an organization had higher rice yield (11% more) and were technically more efficient (1.4 percentage points higher) compared to farmers who did not participate.

Since this study was carried out with representative sampled farmers from northwest Bangladesh, the findings may not represent all farmers' perceptions of FOs in the country.

Even though more than 200,000 FOs are currently in operation, knowledge regarding the effectiveness of Bangladesh's FOs is limited. Notably, this study used a relatively new method, sample selection SPF model, to investigate the impact of FOs on the production efficiency of smallholder rice farmers in northwest Bangladesh. Therefore, this study contributes to the literature in elucidating the factors affecting participation in FOs and its impact on rice yield and efficiency. Since FOs have been somewhat ineffective in their role as service providers in Bangladesh, this study’s results will guide policymakers to intervene more successfully regarding the changes needed.

The purpose of this paper is to examine rice attributes that are valued by the urban consumers of Cambodia and identifies the factors that influence consumers’ decisions on a set of rice attributes.

The study uses incomplete ranking choice data, gathered from a stated preference survey conducted from 350 consumers of two cities in Cambodia, to model consumers’ alternative choices of rice traits in a setting of a random utility framework. Empirically, a rank-ordered logistic regression is fitted to identify the factors influencing consumers’ perception on a set of rice attributes.

The results suggest that the probability of choosing rice that is soft is highest for consumers in Cambodia. The second and third most preferred rice attributes are taste and aroma, respectively. The results also indicate that rice consumption is significantly affected by location, economic class of consumers, family size and educational attainment.

The research was carried out using consumers in two urban cities in Cambodia as a case study; therefore, the findings might not represent all consumers’ preferences for rice traits in the country.

The present study contributes to the overall rice grain preference literature examining consumers’ perceptions on rice traits and the factors influencing their decision in choosing rice traits. The results originating from this study will help to guide rice breeders in developing new varieties with traits that will be acceptable to consumers and other value chain actors.

Investments in agricultural research and development (AgR&D) have been an engine of agricultural productivity growth; as a result, food security and poverty situations have improved in many countries around the world. However, in Haiti, a small Caribbean country, neither has any formal agricultural research center (ARC) been established nor has a significant amount of money been invested for AgR&D. This paper aims to quantify whether setting up an ARC would be beneficial for Haiti.

A fixed-effects regression, the International Model for Policy Analysis of Agricultural Commodity and Trade impact and benefit – cost ratio (BCR) measures are used to estimate future benefits from setting up a new ARC in Haiti.

A total of US$21.0m annual investment is required for the proposed ARC, which could generate up to US$1.16bn in social benefits during the next three decades. In terms of BCR, if one dollar is invested for AgR&D in Haiti, the payoff could be US$1.33-4.52. Therefore, establishing an ARC is crucial for Haiti, as it is expected to generate positive benefits for society by helping formulate pro-farmer policies as well as disseminating modern agricultural technologies among farmers.

Because, to the best of the authors’ knowledge, there is no such study in Haiti’s perspective, this study contributes to the country’s literature evaluating the feasibility of establishing a new research center in Haiti with a partial equilibrium economic model.

The purpose of this paper is to analyze geographic heterogeneity of consumer preferences for intrinsic quality attributes of rice in South and Southeast Asia and the drivers of demand for these attributes, with a particular focus on rice fragrance and the role of gender.

Stated-preference surveys were conducted with 4,231 urban and rural consumers in 37 cities across seven countries (Bangladesh, India, Cambodia, Indonesia, the Philippines, Thailand, and Vietnam) during 2013–2014 and analyzed through a rank-ordered logistic regression with incomplete ranking choice data.

Preferences for rice attributes are found to be significantly heterogeneous among consumers in South and Southeast Asia. Urban Thai consumers tend to prioritize appearance and cooking characteristics over taste and nutritional benefits, relative to all other surveyed consumers. In contrast with South Asian consumers, Southeast Asian consumers have largely adopted Thai preferences for rice texture and fragrance, a trend that was earlier coined “Jasminization.” We find that demand for rice fragrance is mainly driven by women, educated consumers, large families, families spending a lower share of their food expenditures on rice, and consumers in Southeast Asia (particularly the Philippines and Cambodia).

Little is known about geographic heterogeneity, drivers, and the role of gender in demand for rice fragrance. This paper fills these knowledge gaps. Our findings suggest that the more women are empowered in grocery decision-making, the more demand for aromatic rice is expected to rise. These insights can assist market-driven and gender-responsive rice breeding programs in simultaneously enhancing rice farmers' livelihoods and gender equity.

Rice is the primary staple crop in South Asia and is cultivated mainly on lowland ecosystems usually fed by the monsoon. With increasing climatic volatility, exclusively rain-fed rice paddies have experienced a triple threat in droughts, floods and salinity. This study investigates the linkages of these abiotic stresses on yield and subsequent farmer decisions on varietal choice.

A path analytic model is conceptualized where the relationship between yield (conditional on abiotic stresses) and the varietal choice decision is mediated by adaptation motive (latent construct) and market exposure (observed construct). The path model is validated using 2,523 observations from Bangladesh farmers to obtain parameter estimates for direct effects and mediated effects indicated above.

Findings reveal that drought and flood impacts, in contrast to salinity impacts, are influential to both yield and varietal choice. The adaptation motive, however, is clear only in the case of salinity. Time preference of farmers and previous exposure to climate shocks predict adaptation motive substantively. The study reveals that market exposure is also a significant mediator of varietal choice in addition to the mediating effect of adaptation.

The study adopts a path analytic model which is able to capture direct, indirect and mediated effects between exogenous factors and varietal choice decision. While the models provide conclusive statistical evidence to the above hypotheses, within-area variations of behavior may not be captured adequately by the method.

Analyzing the complexity of varietal decision-making choice using a path analytical model is a novel contribution to the literature. The application itself is unique to the context applied. The findings complement the literature on varietal adoption in the context of climate resilient paddy systems.