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This article aims to examine the determinants of farmers' decisions on the adoption of modern rice varieties in two stages, including whether to adopt and, if so, how much to adopt.

The Double-Hurdle and Tobit models are applied to determine whether farmers make their two-stage decisions separately or simultaneously.

The findings reveal that farmers make their decisions on the probability of adoption and the intensity of adoption separately. Ethnicity, agricultural labor, land, rice production asset and non-farm self-employment are determinants of the farmers' decision on the adoption of modern rice varieties in both stages. Previous adoption, gender and an irrigation program only have a significant effect on the farmers' probability of adoption, while the market only significantly explains the farmers' decision on the intensity of adoption.

Due to the unavailability of data, this article does not include the attributes of the rice varieties or farmers' perception about the varieties in the model.

The uniqueness of this research is that it attempts to examine the determinants of farmers' two-stage decisions on whether to adopt and how much to adopt the modern rice varieties by application of the Double-Hurdle method.

This paper aims at understanding the causes of low adoption of hybrid rice technology. The paper also assesses the impact of adoption of hybrids and modern varieties on crop yield, vis-à-vis the old or traditional varieties.

Using unit-level data from a large-scale survey of farm households (19,877 paddy cultivators), the authors applied multi-nomial regression method to understand the factors for adoption of hybrid rice and instrumental variable method of regression to estimate its impact.

The findings demonstrate that in India, hybrid rice is often grown on relatively poor soils, resulting in greater irrigation costs and for other inputs, such as fertilizers. Further, farmers' poor access to information on the traits of hybrid rice and the associated agronomic practices, as well as poor access to financial resources, hampers efforts to scale up its adoption. More importantly, the findings reveal that the relative yield advantage of hybrids over open-pollinated modern varieties is not large enough to incentivize the rapid adoption of hybrid rice technology.

Given the higher cost of hybrids than the inbred varieties, enhancing paddy cultivators' access to financial resources can accelerate the adoption of hybrid rice in India.

The study is based on unit level data from a large-scale, nationally representative survey of farm households, comprising a sample of 19,877 paddy cultivators, spread across states in India.

Rice landraces are essential for supplying beneficial traits for developing improved rice varieties with better nutritional quality. Nevertheless, in a yield-driven environment, grain nutritional quality has been ignored especially that of rice landraces. Given this, the purpose of this study is to evaluate the content and nutritional variability of rice landraces from Manipur.

Thirty-three most popular rice landraces were collected as dry paddy samples from Manipur and transported to the National Institute of Nutrition, Hyderabad, by air. All the paddy samples were processed and analyzed for 35 nutrient parameters using standard methodologies.

The mean nutrient content of Nagaland brown rice was: protein 7.5 ± 0.8, fat 3.0 ± 0.3, TDF 5.5 ± 0.4 and ash 1.2 ± 0.2 g/100g. The range of water soluble-vitamin content in mg/100g, was 0.1–0.43 for Thiamine and for Niacin 2.1–3.5, while the content in µg/100g was 40–64 for Riboflavin, 0.5–3.9 for Pantothenic acid and 20–118 for Pyridoxine. A relatively large coefficient of variation was observed for iron (25%), manganese (28%), copper (32%), calcium (13%) and phosphorus (11%). Manipur rice landraces have significantly higher total dietary fiber and lower phytate contents than modern varieties. Milling led to steep losses of nutrients, and limiting to 5% milling substantially improves nutrient retention in milled rice.

Future nutrition interventions should use rice with superior nutrient quality to improve nutrient intakes. Manipur rice landraces conserved over generations can broaden the genetic base of breeding stocks especially in the face of climate change.

The paper presents comprehensive nutritional data of 33 rice landraces from the state of Manipur, India. The results indicate large nutrient variability even within these 33 rice landraces with important traits such as high total dietary fiber and low phytate contents. The study highlights the importance of conserving the existing rich genetic material of Manipur rice landraces to develop varieties that combine higher yields with stress tolerance and superior grain nutritional value to improve the food and nutrient security.

The purpose of this study is to examine factors that affect smallholders' adoption of improved rice varieties in Vietnam.

This study used a cross-sectional survey design. A random sample size of 257 was drawn from a total of 725 smallholders. Descriptive statistics and a binary logistic regression were used to analyse the data.

This study concludes that younger smallholders who participate in credit and training programs have a high level of education, receive government support, have both owned and rented land for growing rice and those who have a larger farm size have a greater tendency to adopt improved rice varieties. In addition, if improved rice varieties have higher productivity potential, palatability and marketability compared with the traditional ones as perceived by smallholders and seed of these rice varieties are available in local markets, then they are likely to be adopted by smallholders.

A combination of socio-technological characteristics of smallholders should be considered when promoting smallholders' adoption of improved rice varieties and when choosing agricultural extension strategies to improve small-scale farmers' uptake of improved crop varieties in developing countries.

This research provides important understanding of the determinants of smallholders' adoption of improved rice varieties and highlights factors that need to be considered when designing policies to enhance the uptake of improved rice varieties in developing countries.

The Green Revolution was a singular event in world history; because of the Green Revolution, world prices for all crops declined. The agricultural mechanization issue was also driven by intellectual property rights (i.e., the right to patent products), as was the agricultural chemical revolution. The livestock industrialization revolution sharply lowered the prices for all livestock products. The Gene Revolution (i.e., the recombinant DNA revolution) further lowered the cost of producing farm products. The Gene Revolution was based on three events. The first was the discovery that DNA (Delbrook) was the carrier of genetic information. The second was the discovery by Watson and Crick of the double helix structure of DNA. The third was the method of stable insertion of DNA into a host genome (Cohen and Boyer). The future of agricultural research depends on the capacity of countries to invent and imitate.

After a long observation of the high rate of rice importation and low productivity in Côte d’Ivoire, the certified rice seed was introduced and encouraged to be used by the local farmers. This study evaluates the profitability of rice production and the impact of certified seed usage on the yield and income of farmers in Côte d’Ivoire.

Data were collected from 265 rice farmers. Descriptive statistics were used to identify the challenges faced in using certified seeds. Profitability analysis was used to examine the profitability of rice production. To eliminate bias due to the counterfactuals, the endogenous switching regression was employed to investigate the impact of the certified seeds on income and yield.

The difficulties faced by the rice farmers in the procurement of certified seeds were the unavailability of seeds, the high cost of seeds and poor credit access. Furthermore, rice farmers using certified seeds get a higher net income (USD 263.74/ha) than those using farmers' seeds (USD 212.31/ha). The average treatment on the treated was 1.61 for the yield and 574.75 for the income. The average treatment on the untreated was 1.20 for the yield and 422.59 for the income. These indicate a higher yield and income among adopters of certified rice seed.

Certified rice seed usage is profitable and enhances the output and income of rice farmers. The study advocates the creation of a stronger relationship between the farmers and the extension agents to encourage the use of certified seeds and increase the profit of the farmers.

There is scant information on the profitability of certified rice seed usage and how it affect yield and income. Therefore, this study serves as empirical evidence for policymakers to develop strategies that are required to enhance certified seed usage, boost rice productivity and achieve food security.

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.

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 analyse aspects of technological change in rice agriculture, related to adoption of the Green Revolution (GR) in Indonesia. Rice production is selected in this study because it plays an important role in the development of Indonesian economy. Particular attention is paid to the use of agrochemicals that has potentials of contaminating the environment.

The paper uses an econometric model to investigate the impact of different technologies and policies related to rice production. Production function technology that enables non-neutrality of input use is the underlying concept of this paper. Types of land and transformation in policies related to rice production were accounted for to determine biased technological change. National-wide data were compiled from the Indonesian Bureau of Statistics.

The results show that rice agriculture underwent technological progress with biased technological change. The technological change was capital- and labour-saving, and agrochemical-augmenting. Production system in wetland led to technological change less capital- and labour-intensive, whilst the GR led to technological change more labour-saving and more agrochemical-augmenting.

This study only pays attention to environmentally detrimental inputs as a cause of externalities. This is a not full representation of real environmental consequences. In some studies on environmental degradation associated with intensive agricultural practices, however, there are other factors that can degrade the environment, such as soil erosion and soil compaction resulting from certain agricultural practices, and deforestation resulting from agricultural expansion. These are also important environmental impacts. The author expects that these factors are interesting and challenging subjects to be modelled in future research on sustainability of agricultural productivity growth, both theoretically and empirically.

Increase in use of agrochemicals was strongly GR linked. Moving from the GR towards more environmentally friendly policy was a wise step to reach sustainable rice production. After the GR, an act that removed pesticide subsidies and disseminated environmentally friendly technology, called integrated pest management was able to reduce the intensity of agrochemical use in rice agriculture. Further actions to support environmentally friendly policy could be the use of bio-agents such as bio-fertilisers and bio-pesticides. Enhancing farmers’ knowledge on the environmental issues and engaging farmers as a part of agro-ecosystem would synergise the actions.

This study uses the concept of biased technological change, estimated econometrically using national-level data. The production function used in this analysis enables non-neutrality of agrochemical use. When the result significantly shows the agrochemical-augmenting technological change, it is a convincing evidence, not just by accident, that the GR really led to environmental problem.

The purpose of this paper is to estimate technical efficiency obtained from both data envelopment analysis (DEA) and stochastic frontier approaches using household survey data for rice farming households in Vietnam.

A bootstrap method is used to provide statistical precision of the DEA estimator. Technical efficiency is modeled as a function of household and production factors.

The results from the deterministic, semi‐parametric and parametric approaches indicate that among other things, technical efficiency is significantly influenced by primary education and regional factors. In addition, scale efficiency analysis shows that many farms in Vietnam are operating with less than optimal scale of operation.

The study is among the first that employ a bootstrap method and compare estimates from both Data Envelopment Analysis (DEA) and stochastic frontier approaches.