1,427 research outputs found
Transnational Trafficking, Law Enforcement and Victim Protection: A Middleman Trafficker's Perspective
We explore three hitherto poorly understood characteristics of the human trafficking market ā the cross-border ease of mobility of traffickers, the relative bargaining strength of traffickers and final buyers, and the elasticity of buyers' demand. In a model of two-way bargaining, the exact configuration of these characteristics is shown to determine whether domestic and foreign crackdowns on illicit employment mutually reinforce or counteract one another in efforts to stem the tide of trafficking. Estimation results from a gravity model of trafficking present evidence consistent with the mutual reinforcement view, indicating considerable ease of mobility, partial bargaining power, and inelastic demand.human trafficking, two-way Nash bargaining, victim protection, law enforcement
A sterelogical analysis of the effect of early postnatal ethanol exposure on neuronal numbers in rat dentate gyrus
Motivational factors influencing farming practices in northern Ghana
Socio-economic factors that influence the adoption of management practices and technologies by farmers have received wide attention in the adoption literature, but the effects of socio-psychological farmer features such as perceptions and motivations have been analysed to a lesser extent. Using farm household survey data from three regions in northern Ghana, this study explores farmersā motivations and perceived adoption impediments for three sustainable intensification practices (SIPs): improved maize varieties, cropping system strategies, and combined SIPs (i.e. improved maize and cropping system strategies), and the effect of motivational factors on decisions to adopt SIPs. First, explorative factor analysis (EFA) was used in identifying factors of motivations and impediments for adoption of SIPs. Then, a multinomial logit model was used to analyze the effect of socio-economic farm characteristics and motivational factors on farmersā decisions to adopt SIPs. EFA identified three motivational factors: personal satisfaction, eco-diversity and eco-efficiency, which differed in importance between the three regions. Across these regions, higher scores for aspects of personal satisfaction were associated with lower interest in improved maize varieties compared to cropping system strategies, while the opposite was true for eco-efficiency which was related to a stronger preference for improved maize varieties. Uncertainty, absence of social support, and resource constraints were identified as impediment factors. The logit model demonstrated that extension services seemed to support the use of improved maize varieties more than the implementation of cropping system strategies. We conclude that motivational factors significantly influence farmer adoption decisions regarding sustainable intensification practices and should be considered systematically in combination with socio-economic farm features and external drivers to inform on-farm innovation processes and supporting policies.</p
On Socially Optimal Traffic Flow in the Presence of Random Users
Traffic assignment is an integral part of urban city planning. Roads and
freeways are constructed to cater to the expected demands of the commuters
between different origin-destination pairs with the overall objective of
minimising the travel cost. As compared to static traffic assignment problems
where the traffic network is fixed over time, a dynamic traffic network is more
realistic where the network's cost parameters change over time due to the
presence of random congestion. In this paper, we consider a stochastic version
of the traffic assignment problem where the central planner is interested in
finding an optimal social flow in the presence of random users. These users are
random and cannot be controlled by any central directives. We propose a
Frank-Wolfe algorithm based stochastic algorithm to determine the socially
optimal flow for the stochastic setting in an online manner. Further,
simulation results corroborate the efficacy of the proposed algorithm
Achieving Universal Primary Education: Can Kenya Afford it?
Kenya has experienced a rapid expansion of the education system partly due to high government expenditure on education. Despite the high level of expenditure on education, primary school enrolment has been declining since early 1990s and until 2003 when gross primary school enrolment increased to 104 percent after the introduction of free primary education. However, with an estimated net primary school enrolment rate of 77 percent, the country is far from achieving universal primary education. The worrying scenario is that the allocations of resources within the education sector seems to be ineffective as the increasing expenditure on education goes to recurrent expenditure (to pay teachers salaries). Kenya\u27s Poverty Reduction Strategy Paper (PRSP) and the Economic Recovery Strategy for wealth and Employment Creation (ERS) outlines education targets of reaching universal primary education by 2015. The Government is faced with budget constrains and therefore the available resources need to be allocated efficiently in order to realize the education targets. The paper uses Budget Negotiation Framework (BNF) to analyze the cost effective ways of resource allocation in the primary education sector to achieve universal primary education and other education targets. Budget Negotiation Framework is a tool that aims at achieving equity and efficiency in resource allocation. Results from the analysis shows that universal primary education by the year 2015 is a feasible target for Kenya. The results also show that with a more cost- effective spending of education resources - increased trained teachers, enhanced textbook supplies and subsidies targeting the poor - the country could realize higher enrolment rates than what has been achieved with free primary education
Comparison of different methods for extraction and estimation of aflatoxin B1 in groundnut
Aflatoxin extraction methods namely Best Food (BF), Contaminant Branch (CB), Pousā and Romerās and analytical
methods namely thin-layer chromatography, spectrophotometric and minicolumn techniques, in different combinations, were compared for their efficiency for determining aflatoxin B1 occurring naturally in groundnuts and also for estimating aflatoxin B1 levels in groundnut meal samples spiked with known quantity of the toxin. The BF and Ponsā methods gave better efficiency than the other two methods. Spectrophotometric method was more effective than TLC and minicolumn techniques. BF method was found relatively less expensive and less time consuming as compared to other extraction methods. The Ponsā method was found convenient while handling large numbers of samples especially in the absence of centrifuge facilities required for the BF method
Residues of Antibiotics in Raw Honeys from Different Apiaries of Northern India and Evaluation of Human Health Risks
Indiscriminate use of antibiotics in apicultural practices may lead to contamination of otherwise healthy and naturally produced honey. Contamination not only affects honey quality but also pose significant health risks to consumers. In this context, one hundred raw honey samples from India were analysed for presence of antibiotic residues. For determination of oxytetracycline and erythromycin, high performance liquid chromatography and for chloramphenicol, enzyme immunoassay based validated procedures were used. Oxytetracycline and erythromycin with concentrations above maximum tolerance limits were detected in 24% and 2% samples, respectively. None of the samples contained chloramphenicol residues. Although, total dietary intake of detected antibiotics through honey was found to be <1% of their acceptable daily intake values, the presence of antibiotics in honey is an alarming health concern for people following customary honey feeding. The outcomes underline the need of inter-sectoral approaches to create awareness among beekeepers regarding health risks associated with residues of antibiotics in honey and merits of approved apicultural practices. Therefore, to meet global food safety requirements, continual residue monitoring schemes along with enlightenment of beekeepers on scientific beehive management and risks associated with incautious apicultural practices are of vital importance
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