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The purpose of this paper is to identify the structure of household income and examine the effects of non-farm incomes on the income distribution of farm households in a relatively developed rural area of the Malaysian rice bowl.

The non-farm incomes were disaggregated into different components to determine the contribution of each income source to total household income and overall inequality. The income distribution and decomposition was examined using the Gini decomposition method.

It was found that almost 71 percent of the households in the sample had at least one source of non-farm income. On average, non-farm incomes contributed about 33 percent to total household income. Non-farm wage employment was the dominant source of non-farm income, accounting for almost 26 percent of overall household income. The farm incomes, especially the paddy incomes were found to be the inequality-decreasing income source. The study also confirmed the proposition that the non-farm incomes were the inequality-increasing income source as they contributed up to 35 percent of the overall income inequality.

Previous studies have found that non-farm incomes have different effects on income inequality of rural communities, especially those in the rice granary areas situated in less developed states of Malaysia, where poverty is still a problem. This study is significant because it identifies the effect of certain incomes on the overall income inequality among farm households in the granary areas located in a relatively developed rural area. The studied areas are characterized by an intensive paddy production and a rapid development in business and industrial activities, and hence, providing non-farm employment opportunities to the rural farmers. Therefore, this study shows the income structure and how farm and non-farm incomes affect the overall income distribution of the paddy farmers.

Rice processing, an important feature in rice production involving the transformation of harvested paddy into edible rice, is dependent on the type of rice processing techniques used. The purpose of this paper is to analyze the choice of processing techniques among rice processors in Nigeria.

The study was carried out in Nigeria using structured questionnaires among 410 rice processors selected from four states (Ebonyi, Ekiti, Ogun and Nasarawa) from three geo-political zones (Southeast, Southwest and North-central) of Nigeria. Information on socio-economic characteristics (age, sex, household size, marital status and education) and processing characteristics (experience, paddy source, processing activities, processing techniques, credit and distance) were obtained. Data were analyzed with the use of descriptive statistics and multinomial logistic regression model at 0.05.

The mean age of processors was 47.8±9.9 years, mean household size was 6.5±4.2 persons and 88.7 percent were married. In total, 73.6 percent had formal education and mean years of experience was 16.4±9.2 years. Main processing activities were parboiling and drying (50.0 percent); milling (40.0 percent); and de-stoning (10.0 percent). In all, 65.7, 20.4 and 13.9 percent used traditional and modern techniques (TMTs), traditional techniques (TTs) and purely modern techniques (PMTs), respectively. The probability of choice of TT relative to TMT reduced by years of education (4.5 percent), paddy source (1.8 percent) and distance to processing center (4.4 percent), while probability of choice of PMT relative to TMT increased for male processors (7.3 percent), membership of association(18.0 percent) and other income sources (6.2 percent).

Level of education of processors and reduction in the distance taken to paddy source reduced choice of TTs.

Other income sources increased the choice of PMTs of rice processing in Nigeria.

Processors with high level of education, who also engage in other income generating activities, were able to choose modern processing techniques.

This research was an original research carried out among rice processors in Nigeria.

The purpose of this paper is to assess the efficiency of rice millers and determine factors influencing cost efficiency in Southwest Nigeria using the cost route approach.

The paper analyses cost efficiency of rice millers using primary data collected from 62 respondents through a structured questionnaire. A multi-stage sampling procedure was employed for this purpose. The profile of rice millers and mills were derived using the descriptive analysis. Cost efficiency of the millers was obtained using the quadratic cost function analysis, and Tobit regression was used to determine factors that influence cost efficiency.

The results showed that cost efficiency indexes range from 1 to 57 percent averaging at 20.2 percent. Large rice mills were found to be most efficient with the mean cost efficiency of 25 percent. Paddy, transport and energy costs contributed positively and significantly (p=0.05 and p=0.01) to cost efficiency. Milling capacity and machine age increase cost efficiency while the distance to purchase paddy and quantity of diesel used reduces cost efficiency.

The paper shows that there is enough potential for rice millers to improve their cost efficiency based on the available technology. This has a direct implication on the economy through the increased domestic production and processing of rice to meet the increasing demand for locally produced rice.

The paper attempts to bridge the gap in the literature of cost efficiency among rice millers in Nigeria, and specifically in the application of the normalized quadratic cost function in estimating cost efficiency in the rice milling sector in Nigeria.

New varieties of paddy are constantly being developed in India in order to sustain yield gains in the face of biotic and abiotic stresses. In this study, the authors attempt to identify the drivers for adoption of new varieties of paddy in India; the authors also estimate the impact on yield of the adoption of new paddy varieties.

Survey data consisted of the reported information from approximately 20,000 paddy farmers in India. The study employs Cragg's double-hurdle model to study the probability and intensity of adoption of new varieties; we use regression discontinuity design to estimate the change in yield due to adoption of new varieties.

The authors’ findings indicate that the adoption of new varieties of paddy in India varies significantly within and between regions; further, the adoption of new varieties is affected by a number of socioeconomic and demographic factors; the authors also find that the adoption of new varieties increases yield significantly.

These are observational data and not based on the experiments. The authors relied on farmers' memory to recall the information.

The authors suggest the formulation of strategic policies that can cater to the needs of regions and states that are lagging behind in the adoption of new paddy varieties.

Drawing on studies in flood-affected upland areas of Thailand and Vietnam, this chapter explores the complex interplay between collective, state and individual responses to disastrous flood events and subsequent mitigation strategies. Fieldwork was conducted between 2007 and 2009, employing a variety of qualitative methods, such as semi-structured interviews in flood-affected households, focus group discussions and narrative essays written by local people. Evidence suggests that farmers’ willingness to engage in flood mitigation is curbed by the common perception that flooding is caused by a bundle of exogenous factors. In the case study from Vietnam, state intervention in formerly community-based water management has alienated farmers from water governance and reduced their sense of personal and collective responsibility. Their lack of engagement in flood-prevention strategies could also be explained by the fact that their major cash crop was not affected by the flood event. In the Thai case study, where community-based water management remained largely unaffected by state influence, villagers agreed in a collective decision-making process to widening the riverbed after a severe flood, although this meant that some farmers had to give up parts of their paddy fields. Yet, following a second flood, these farmers opened up new upland rice fields in the forested upper watershed areas to ensure their food security, thus increasing the likelihood of future flood disasters downstream. We conclude that flood mitigation and adaptation policies need to consider (1) local people’s own causal explanations of flood events and (2) the potential trade-offs between collective action, state intervention and individual livelihood strategies.

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.

To enable adequate transfer of heat from a hybrid circuit in many cases the substrate is attached to a heatsink. This paper examines the two principal means of calculating the dispersion and transfer of heat generated by active elements on the surface when both thin and thick film techniques are employed. The paper concludes by presenting formulae for making the relevant thermal resistance calculations.

The main purposes of this paper were to assess effects of smallholder farmers access to livelihood capital (e.g. land, livestock and water) on livestock water productivity (LWP) and to evaluate impacts of selected interventions in reducing livestock water demand (per unit of livestock product) and therefore increasing LWP.

A total of 203 sample farm households were selected in intensive and semi‐intensive crop‐livestock systems of Indo‐Ganga basin of India. A household survey was undertaken to capture data on land, water and livestock management. For the analysis, sample farms were clustered into poor, medium, better‐off. LWP is estimated as a ratio of livestock beneficial‐outputs (e.g. milk) to depleted‐water (i.e. evapotranspired water to produce livestock feed). Impacts of selected interventions, on LWP, were analyzed using scenarios developed on a spread sheet model.

The results showed different LWP values among farm‐clusters and levels of intensification. The intensive systems showed higher LWP than the semi‐intensive. In the baseline, dairy water demand to produce a liter of milk was higher than the world average: ranging between 1,000 and 29,000 L. Among the farm‐clusters, variation of LWP was system specific and affected by farmers' access to virtual water trading (i.e. milk and feed). Improving milk productivity, feed quality and feed water productivity reduced livestock water demand per liter of milk substantially and, therefore, the saved water can be used to augment ecosystem services that can mitigate the impacts of climate change.

This paper revealed that in the study systems LWP, in the business as usual scenario, is low. But by improving animal productivity, quality feed supply and water conservation substantial volume of water can be saved.

Kunvarji Group is on its way to transform from a commodity trading business to a service-driven business. To become an integrated service provider in the agri-supply chain, Kunvarji is by participating actively in procurement, trading, and now eyeing options for providing agri-storage services. Their dilemma reeled around the choice of storage that should be preferred for better returns: warehouse, cold storage, or silos? What should be Kunvarji's growth strategy?

Product quality standardization is the solution to market collapses due to quality-insensitive pricing regimes prevalent in West African (WA) rice value chains. However, access to local rice that is differentiated by quality standards is limited. This paper explores feasibility of quality standardization of local rice and evaluates how its price–quality connecting effect depends on retailer characters/reactions.

This study uses panel data from a wholesale randomized control trial (RCT) and three surveys of 135 rice retailers in Ghana.

Improved local food value chains and access to quality differentiated products are impactful entry points for import substitution policies. The strength of interretailer competition, retail infrastructure and wholesaler activities matter for a stronger connection of prices and quality, given uptake of quality-standardized local rice.

Access to quality-differentiated local rice can be increased via private and third-party certification. This addresses the prevailing inefficient pricing and its related problems. The positive impacts of such access would be magnified by designing quality certification interventions to elicit regular-frequent purchases by retailers and target retailers with adequate retail infrastructure in high competition areas. However, this study only explored profitability and opportunities for strategic behavior as the behavioral basis for quality-sensitive pricing. Other impact mechanisms could be explored in further research that includes consumer data.

Despite their difficulty and limited use in value chains studies, RCT and panel data methods are used. This study is the first to empirically analyze feasibility of introducing product standardization, a missing institution in the WA local rice markets.