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This paper examines the performance of smallholder rice farms established using improved planting technologies – broadcasting, dibbling and transplanting – under different production systems – rain-fed and irrigation – in Ghana.

Using recent cross-sectional data of 200 smallholder rice farmers from the upper east region of Ghana, this study employed multinomial logit model and descriptive and inferential statistics for the analysis.

The results revealed that rice production under irrigation system contributes significantly to increasing farm productivity and profitability. Rice farmers who adopted dibbling and transplanting technologies under both irrigation and rain-fed production system obtained higher productivity and profitability than those who used broadcasting technology. Adoption of improved rice planting technologies by smallholder farmers is significantly influenced by education, farm size, improved rice varieties, sales outlets, hired labour and percentage of paddy sold.

The sample size is relatively small, even though findings are still very important in terms of policy formulation for improved smallholder farm performance in a developing country like Ghana.

This study calls for collaborative efforts by government, donor agencies and NGOs to establish irrigation facilities and/or expand existing ones, increase sensitization and dissemination of improved planting technologies, as well as intensify the input subsidy programme in Ghana.

To the best of the authors knowledge, this is the first study that focuses on farmers' choice of rice planting technologies under irrigation and rain-fed production systems, and how these technologies impact on smallholder farm performance in Ghana.

The purpose of this paper is to establish correlations among the input variables of production within themselves and input variables of consumption within themselves and to forecast the production and consumption of the rice.

The production and consumption of rice crop is governed by diverse variables. In the present study five key input variables for production of rice based on literature review and the authenticated data available from agricultural sources have been selected. These variables are area sown, agricultural workers (AW), area irrigated, growth rate and yield per hectare. On similar basis four key input variables responsible for consumption of rice are considered, namely, price of rice, population, poverty ratio and per capita net national product (NNP).

Correlation analysis showed that priority wise production of rice depends upon yield per hectare, percentage irrigation, AW and area sown. The growth rate is found to be having insignificant correlation with other variables of production and hence was omitted from subsequent study. Correlation analysis also showed that priority wise consumption depends upon whole sale price per ton, population and the per capita NNP. The poverty ratio is found to be having insignificant correlation with other variables of consumption and hence was omitted from subsequent study. The outcomes of the correlation analysis are utilized for designing rule base for fuzzy inference system (FIS) to forecast the production and consumption of the rice. Subsequently Bayesian technique is used to forecast production and consumption and its results are compared with the results of fuzzy inference analysis.

There are many techniques used for forecasting purpose but FIS and Bayesian technique outperform others. In the present study, the authors therefore focussed on these two techniques. Bayesian technique takes into account the expert opinion at the current conditions whereas FIS uses previously designed rule base. Besides discussing the appropriateness of these two techniques for forecasting production and consumption of rice, their forecasting outcomes will help in logistical and operational planning of the resources at national level, farmers’ level and traders’ level.

This study investigates implications of crop and income diversifications on consumption expenditure (welfare) of rice-producing households in Ghana. It further compares diversification by three rice production systems: two-season rain-fed, two-season irrigated and one-season rain-fed rice production.

Primary data were sourced from 225 rice farmers. Margalef index and three-stage least-squares were employed.

Majority of rice-farming households in Ghana diversify livelihoods. The extent of livelihood diversification differs among two-season rain-fed, two-season irrigated and one-season rain-fed rice-producing households. Credit, distance to district capitals, production purpose and number of farming seasons influence crop and income diversifications, and consumption expenditure of rice-producing households. While crop diversification reduces consumption expenditure, income diversification increases it. Crop and income diversifications positively influence each other. Consumption expenditure reduces crop diversification but increases income diversification.

Policy should be directed towards the promotion of more livelihood activities to boost rice farmers' welfare. There should be awareness creation and training programmes to enable rice farmers realize different economic activities within and outside the agricultural value chain.

Crop and income diversifications were measured as continuous response variables, unlike previous studies that used a binary response variable. The authors established a synergy among crop and income diversifications, and consumption expenditure (welfare). The authors further compared crop and income diversifications by three rice production systems: two-season rain-fed, two-season irrigated and one-season rain-fed rice production systems.

In late 2015, the El Nĩno phenomenon induced Vietnam’s worst drought in 60 years, which lasted until mid-2016 and intensified the most expansive saline intrusion in 90 years. The combination of the two hazards resulted in a large-scale disaster, which has led 18 provinces of Vietnam, most of them from the Mekong Delta, to water shortage, insanitation, human and animal diseases, food emergency need and a considerable disruption in local communities’ livelihoods. These devastating effects raise the question of what makes local households vulnerable to drought and saline intrusion. The chapter argues that vulnerability to the natural disaster is not something resulted from external threats, but rather, is derived from the interplay between social structures residing deeply inside the socio-economic systems and agency’s conditions presenting at the household level. Social structures are rules and procedures that constrain and/or enable human actions in agricultural production, risk taking and adaptation. Agency refers to the capacities of disaster-affected households in the Vietnamese Mekong Delta who cultivated third rice crop and suffered heavily from the 2015–2016 disaster. In addition to households’ lack of planning and coping capacities, the constitution of vulnerability to drought and saline intrusion can be attributed to the interaction between farmers’ choice of extra rice crops and the state’s policies and directions in agricultural and irrigation development since 1990s to date.

Rice agroecosystems must grow sustainably to meet the increasing demand for food. A fish-rice co-culture was introduced to conserve rice agroecosystems in farming communities. This study aims to assess the technical, socio-economic and environmental outcomes as the pillars of sustainability.

This study employs a mixed qualitative-quantitative approach to assess a sustainable intensification programme's impact on sustainability. Data were collected using group discussions and self-assessment surveys. The study sites cover East Java and West Java provinces.

This study found that rice-fish co-culture improved the sustainability of the farming system. Farmers applied pest and disease management and partially substituted inorganic fertilisers with organic ones. The outcomes were apparent in the diversity of harvested products. Economically, the rice yield increased, the production costs decreased and the resultant increased income. Environmentally, the fish-rice co-culture was sound because of ecological inputs. The population of natural enemies of pests increased. Socially, fish-rice co-culture was acceptable to the community since there was no conflict with the local governments, local norms and religions and the existing farming practices of other crops.

This study was based on five groups as case studies, such that the result might not represent the general condition.

The study's methodology was supported by valid economic theories and data directly gathered from farmers.

The purpose of this study is to estimate the profitability of rice production for irrigated and rain-fed farmers; determine the factors that influence farmers' decision to participate in irrigation and the impact of irrigation on rice farmers' profitability in northern Ghana.

Using cross-sectional data collected from 543 rice farmers in northern Ghana, the study employed both non-parametric (cost benefit analysis) and parametric (endogenous switching regression) approaches to analyse the data.

The empirical results reveal a significant difference between the profits of irrigated (GHS 2442.30) and rain-fed farmers (GHS 576.20), as well as the cost-benefit ratios between irrigators (2.53) and rain-fed farmers (1.37). Also, participation in irrigation was found to be influenced by relatively small farm size and off-farm income; while profitability was influenced by membership in a farmer-based organization, access to agricultural extension services and perception of decreasing rainfall intensity. Irrigation also had a positive significant net impact on profitability of rice production.

The results provide justification for development partners and the government of Ghana through the “one-village-one-dam” policy, to invest in irrigation in northern Ghana in order to improve household welfare as well as build resilience for sustainable production systems.

This study is the first of its kind to provide a robust analysis of the difference in profits of rain-fed and irrigated rice farmers while estimating the determinants of Ghanaian farmers' choice of either of the regimes within a bias-corrected framework.

This study examines the impact of agricultural credit on rice farmers' technical efficiency (TE) in Côte d'Ivoire by considering the heterogeneity among credit sources.

A multistage sampling technique was used to collect data from 588 randomly sampled rice farmers in seven rice areas of the country. The authors use the endogenous stochastic frontier production (ESFP) model to account for the endogeneity of access to agricultural credit.

On the one hand, agricultural credit has a significant and positive impact on rice farmers' TE. Rice farmers receiving agricultural credit have an average of 5% increase in their TE, confirming the positive impact of agricultural credit on TE. On the other hand, the study provides evidence that the impact of credit on rice production efficiency differs depending on the source of credit. Borrowing from agricultural cooperatives and paddy rice buyers/processors positively and significantly influences the TE, while borrowing from microfinance institutions (MFIs) negatively and significantly influences the TE. Moreover, borrowing from relatives/friends does not significantly influence TE.

Future research can further explore the contribution of agricultural credit by including several agricultural productions and using panel data.

The study provides evidence that the impact of agricultural credit on agricultural production efficiency depends on the source of credit. This study contributes to the literature on the impact of agricultural credit and enlightens policymakers in the design of agricultural credit models in developing countries, particularly Côte d'Ivoire.

The purpose of this study is to investigate factors that affect smallholders' adoption of organic rice production in the Hai Lang district of Vietnam.

This study employed a cross-sectional survey research design. A sample size of 215 was drawn from a total of 455 smallholders. Descriptive and inferential statistics, including a binary logistic regression, were used to analyse the data.

The study concludes that younger female smallholders participating in credit/training programs and community-based organisations, who have a high level of education, a large household size and more experience in rice farming, and who grow mixed crops, have a greater tendency to adopt organic rice production.

A combination of demographic, socio-economic and institutional characteristics of rice smallholders should be considered when promoting organic rice farming practices by smallholders and when choosing organic agricultural development strategies for smallholders in developing countries.

This research provides significant understanding of the determinants of organic rice adoption by smallholder farmers and highlights factors that need to be considered when designing policies to enhance the uptake of organic farming in developing countries.

The purpose of this paper is to analyze and compare the profit efficiency of custom and self-farming methods of rice production in Taiwan.

This study examines the nature and extent of the profitability and profit efficiency of custom and self-farming based on a farm survey in Taiwan. Furthermore, it estimates the stochastic profit frontier to measure the degree of inefficiency and analyze the determinants of these inefficiencies.

The profitability and profit efficiency of custom farming are lower than for self-farming, and the differences in profitability are more significant for large rice farmers. The estimation results show that the custom farming area and the farmer’s age decrease efficiency and, regardless of the farming style used, larger farms have higher profit efficiency.

This study’s findings show that self-farming is more favorable than custom farming for profit efficiency. This study examined this problem by conducting a regression adjustment for explanatory variables, but did not remove all self-selection bias, which may occur between profit efficiency and the choice of farming system.

Previous studies that measured the efficiency of rice farming often considered cost efficiency by the cost function, and ignored the increased profit from producing high-quality rice. This study used a one-step estimation of the profit frontier function to measure the degree of inefficiency and analyze the determinants of this inefficiency.

This paper aims to investigate how climatic, market and policy factors interact to determine food production in Togo. Specifically, we estimate acreage and yield response to market prices, weather and policy changes for maize and rice.

We use panel data estimators in a Seemingly Unrelated Regressions Equation (SURE) model with region-level data from the Food and Agriculture Organization statistics department and the National Oceanic and Atmospheric Administration (NOAA) of the US Department of commerce.

We found lower fertilizer price and higher grain price effects on maize acreage and yield. In addition, we found a positive effect of expected rice price on both its acreage and yield. As expected, rainfall during planting months has a significant impact on both maize (April) and paddy (May) acreage allocations. Similarly, total rainfall during the growing season has a positive impact on both maize and paddy yields. Moreover, recent agricultural policy initiative designed to boost domestic food production has significantly increased acreage and yield for maize, and yield for paddy, especially the strategy for agricultural growth.

The dataset includes region-level observations from 1991 to 2012 which limits the observation span. However, we had enough variability in key variables to determine the estimated coefficients.

Although the dataset is limited in time (1991–2012) and uses national-level output prices, this investigation reveals that cropland allocation to maize and rice is sensitive to fertilizer and grain prices, weather expectations and policy interventions. These findings provide evidence for sustainable food production and productivity enhancement in Togo.

Understanding drivers of cropland allocation and cereal yield contribute to better food security and poverty reduction in developing countries, especially Togo.

Prior to this study, little was known on the effect of price, climate and policy on cropland allocation in Togo. This investigation contributes significantly to filling this knowledge gap and provides insights for effective interventions.