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Assessing the socio-economic correlates for analyzing the benefit-cost ratio of cane and bamboo handicraft in Assam
... The experience of the farmer recorded a significant substantive impact on the yield, particularly in rabi season. The experience profile of a farmer exposes him to diverse surroundings and events which helps in building up management orientation and desire to maximize the profit of his farming [54]. Experienced farmers are generally more prone to accept innovations, although after a certain age risk bearing ability is believed to go down [55,56]. ...
... Investment in maize cultivation also has a close association with income of the farm family where higher income provides farmers the ability to afford needed inputs and equipment for proper crop management [63]. The annual income of the farmer determines the risk taking ability, capital investment in farming practice, and knowledge sharing for technological intervention to maximize the profit [54]; thereby yielding substantive effect on maize cultivation. Similar links between poverty and low crop yields were found by Zingore et al. [19] and Tittonell et al. [65] for maize and groundnut in Africa. ...
The aim of this paper was to investigate the key factors limiting maize (Zea mays L.) productivity in eastern India to develop effective crop and nutrient management strategies to reduce yield gap. A series of farm surveys was conducted in two distinct agro-ecological zones of eastern India to evaluate the importance of crop management and structural constraints for maize productivity in a range of socio-economic settings prevalent in smallholder farms. Surveys revealed yield gap and yield variations among farms across growing seasons. Lower yields of farmers were mainly associated with farmer's ethnic origin, availability of family labor, land ownership, legumes in cropping sequence, irrigation constraints, seed type, optimal plant population, labor and capital investment, and use of organic manure. These constraints varied strongly between sites as well as growing seasons. Stochastic Frontier Analysis suggested intensification of farm input use and removal of socio-economic and structural constraints for increasing efficiency in maize production. The use of multivariate classification and regression tree analysis revealed that maize yield was affected by multiple and interacting production constraints, differentiating the surveyed farms in six distinct resource groups. These farm types lend scope for introducing typology-specific crop management practices through appropriate participatory on-farm evaluation/trials. Summarily, this research indicated that interacting production constraints should be addressed simultaneously, considering the need of different farm types, if significant productivity improvements are to be achieved. This will be, however, more challenging for less endowed farms due to lack of social and financial capital to improve management intensity.A typology-specific farm support strategy may be formulated to offset this lack of entitlement among resource-poor farmers.
... The experience of the farmer recorded a significant substantive impact on the yield, particularly in rabi season. The experience profile of a farmer exposes him to diverse surroundings and events which helps in building up management orientation and desire to maximize the profit of his farming [54]. Experienced farmers are generally more prone to accept innovations, although after a certain age risk bearing ability is believed to go down [55,56]. ...
... Investment in maize cultivation also has a close association with income of the farm family where higher income provides farmers the ability to afford needed inputs and equipment for proper crop management [63]. The annual income of the farmer determines the risk taking ability, capital investment in farming practice, and knowledge sharing for technological intervention to maximize the profit [54]; thereby yielding substantive effect on maize cultivation. Similar links between poverty and low crop yields were found by Zingore et al. [19] and Tittonell et al. [65] for maize and groundnut in Africa. ...
The aim of this paper was to investigate the key factors limiting maize (Zea mays L.) productivity in eastern India to develop effective crop and nutrient management strategies to reduce yield gap. A series of farm surveys was conducted in two distinct agro-ecological zones of eastern India to evaluate the importance of crop management and structural constraints for maize productivity in a range of socio-economic settings prevalent in smallholder farms. Surveys revealed yield gap and yield variations among farms across growing seasons. Lower yields of farmers were mainly associated with farmer's ethnic origin, availability of family labor, land ownership, legumes in cropping sequence, irrigation constraints, seed type, optimal plant population, labor and capital investment, and use of organic manure. These constraints varied strongly between sites as well as growing seasons. Stochastic Frontier Analysis suggested intensification of farm input use and removal of socio-economic and structural constraints for increasing efficiency in maize production. The use of multivariate classification and regression tree analysis revealed that maize yield was affected by multiple and interacting production constraints, differentiating the surveyed farms in six distinct resource groups. These farm types lend scope for introducing typology-specific crop management practices through appropriate participatory on-farm evaluation/trials. Summarily, this research indicated that interacting production constraints should be addressed simultaneously, considering the need of different farm types, if significant productivity improvements are to be achieved. This will be, however, more challenging for less endowed farms due to lack of social and financial capital to improve management intensity.A typology-specific farm support strategy may be formulated to offset this lack of entitlement among resource-poor farmers.
... We found that many scholars studied Scholars like Adhikary et al. (2010) found that the coefficients of annual income, experience, and sources of labour are positively and significantly associated with the cost-benefit ratio of the handicraft sector in Assam. Handique (2014) pointed out that the cost of production is the most critical factor governing the supply of a product. ...
Maize (Zea mays L.) is the third important cereal crop after rice and wheat grown around the globe. Byproducts obtained from maize grains are having high value of calories from seed. Feeding of maize grains has intensely increased in poultry and livestock industries. It is a high-yield commodity crop as well as a source of food security in many developing countries in Latin America and sub-Saharan Africa. Maize growing on scientific lines under climate uncertainty is need of the day.
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