Large Disorder Renormalization Group Study of the Anderson Model of Localization

We describe a large disorder renormalization group (LDRG) method for the Anderson model of localization in one dimension which decimates eigenstates based on the size of their wavefunctions rather than their energy. We show that our LDRG scheme flows to infinite disorder, and thus becomes asymptotically exact. We use it to obtain the disorder-averaged inverse participation ratio and density of states for the entire spectrum. A modified scheme is formulated for higher dimensions, which is found to be less efficient, but capable of improvement

Land Degradation – Its Extent and Determinants in Mountainous Regions of Himachal Pradesh

The study has been undertaken with the objectives of finding the extent of land degradation and its determinants in the mountainous regions of Himachal Pradesh by dividing the state into four zones. Multistage random sampling technique has been adopted to select the sample farmers from each zone. Logit analysis has been carried out to find the probability of different factors affecting land degradation. The factors whose effect on land degradation has been reported are: total owned land, land fragmentation, family labour, non-farm income, farm income, migration, leasing-out of land and education level of members in a household. The study has suggested some measures to minimize land degradation and consequently increase production and income levels in this difficult terrain of the country.Agricultural and Food Policy,

Technical Efficiency in North-Western Himalayan Region: A Study of Himachal Pradesh Agriculture

The technical efficiency of Himachal farmers, studied using the frontier production function, has been found to vary widely across cereal crops in the state. It has been found that the average yield of all the major cereal crops is below the national average, except the maize crop, which has been found in surplus in the state. Maize → wheat and paddy → wheat have been noted as the major crop rotations being followed in the study area. The analysis of cross sectional data has revealed inefficiency in terms of inputs application. The mean technical efficiencies have revealed that a considerable portion of frontier output is left untapped, it is 35-42 per cent in maize, 44-50 per cent in paddy and 61-67 per cent in wheat. The ratio of marginal value productivity (MVP) and marginal factor cost (MFC) has been found to be more than one in case of 50 per cent inputs for all the crops. However, the female labour for most of the crops has values less than one and with negative signs as most of the work (agricultural operations) in the hills is being performed by women. The results have indicated that there is a scope to increase the returns from wheat production by using more farmyard manure, chemical fertilizers, male labour, female labour and bullock labour in zone I. Similarly, in the case of maize (local) in zone I, the yield could be increased by increasing the use of more of farmyard manure, chemical fertilizers, male labour and seeds. The analysis has also revealed that a majority of the farmers operate at low level of efficiency due to practising of traditional cultivation methods. It is felt that there is a need to educate females in resource management, preferably through female extension workers.Farm Management, Research and Development/Tech Change/Emerging Technologies,