Constructed wetlands have been proposed as cost-effective and more targeted technologies in the reduction of nitrogen and phosphorous water pollution in drainage losses from agricultural fields in Denmark. Using two pig farms and one dairy farm situated in a pumped lowland catchment as case studies, this paper explores the feasibility of implementing surface flow constructed wetlands (SFCW) based on their cost effectiveness. Sensitivity analysis is conducted by varying the cost elements of the wetlands in order to establish the most cost-effective scenario and a comparison with the existing nutrients reduction measures carried out. The analyses show that the cost effectiveness of the SFCW is higher in the drainage catchments with higher nutrient loads. The range of the cost effectiveness ratio on nitrogen reduction differs distinctively with that of catch crop measure. The study concludes that SFCW could be a better optimal nutrients reduction measure in drainage catchments characterized with higher nutrient loads.
Implementation of voluntary nutrient reduction technologies among Danish farms is relatively low despite the introduction of a number of incentives on such technologies. With data from 267 farmers, this study analyzed the level of uptake of these technologies and the farmers' perception of water quality, existing regulatory measures and their implementation strategies. In general, farmers perceived; the water quality to be above average and indicated a strong nonsupport for penalties on non-compliance. Results of two ordered probit models on adoption and perception showed a significant importance of factors such as farm and soil types, farm size and slopes and information availability. These findings give a direction to policy makers and other stakeholders on the need to increase information dissemination on; water quality requirements both at national and regional levels and availability and procedures of financial, technical and institutional support for the existing and future incentives. Ultimately, tailor-made incentives could be designed based on farm structure and physical characteristics so as to improve the pace of adoption of the technologies thereby reducing water pollution from farms substantially.
Factors influencing adoption of milk cooling technology were studied with data for 90 smallholder dairy farmers who were randomly selected from seven dairy cooperative societies in Kiambu County, Kenya. Logistic regression identified the age of the household head, daily household milk consumption, freehold land ownership, fodder production area, number of female calves, cooperative membership and cooperative services as significant factors influencing farmers' willingness to invest in milk cooling technology. These findings offer an entry point for increased interventions by policy makers and various dairy sector stakeholders in promoting milk cooling technology with the aim of significantly reducing post-harvest losses and increasing the sector's competitiveness.
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