990 resultados para Department of Rural Economics
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"Sources of information": leaf at end.
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Mode of access: Internet.
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Bibliography: p. xi-xviii.
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Mode of access: Internet.
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Description based on: Vol. 1, issue 2 (spring '88); title from cover.
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The basic objective of the present study has been to observe the process and pattern of employment diversification among the rural women workers in Ernakulam district. The evidences are that the women workers in the rural areas of the state are being increasingly diversified into the tertiary sector. The clear cut evidence for the fact that in Kerala non-agricultural employment of rural women is increasing with more and more of them getting diversified into the tertiary sector. The women get more self esteem and recognition in terms of the work being done by them. In the urban areas of the state as a poverty eradicating measure the Kerala government has already introduced a new scheme under the banner of Kudumbasree. Another fact noticed in the study that the sectoral shift of women workers has posed a grave problem to the agricultural sector. The reluctance of workers to do manual jobs on land and the prevalence of high wages among the agricultural labours has left many a cultivable area fallow or has induced farmers to shift to less labour –intensive crops. The situation is expected to worsen in future as even the high wages fail to attract the young generation to this sector. To conclude the study has fulfilled all its objectives, viz; highlighting the rural employment structure in Kerala, examining the process, pattern, determinants and consequences of diversification among rural women workers in the sample villages. Being the first of its kind at the micro level in the state it contributes to the available literature in the area enriching the database that is crucially lacking for devising projects at the village and block-level. There exists ample scope for future research of similar nature in an urban background where the secondary data-sources are hinding towards a reversal of trends from non-agriculture to agriculture.
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No more published.
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Frequent inquiry from wheat growers in Nebraska and others as to the relative merits of the combined harvester-thresher as an efficienct and economical harvesting machine led the Nebraska Agricultural College to make a study of this problem in the summer of 1926. The work was carried on by the Departments of Rural Economics and Agricultural Engineering, cooperating with the United States Department of Agriculture which was conducting a similar survey in different parts of the United States. Perkins county, Nebraska, was the area selected for study as it is more or less typical of those parts of the state where combines are used extensively. The purpose of this circular is merely to give such informaition as is available regarding harvesting costs by different methods in Nebraska and not to recommend one method over another since location, acreage, climatic conditions, and topopgraphy all have their influence in determining the most economic method for different communities.
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Each year the federal government gathers data relating to agriculture through the various departments of the United States Department of Agriculture. These data are classified and analyzed by the Bureau of Agricultural Economics at Washington and all information which may be helpful to farmers is published. For several years it has been the policy of the Department of Rural Economics and the Agricultural Extension Service of the College of Agriculture, Lincoln, to select from the federal information facts which may be especially helpful to Nebraska farmers. These facts and other economic conditions in Nebraska are published this year as the Agricultural Outlook for Nebraska, 1938. The Outlook should be helpful in the marketing of the crops and livestock on hand. It should also be helpful in making farm plans for 1938.
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Each issue has also a distinctive title.
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Field lab: Consulting lab
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Swain corrects the chi-square overidentification test (i.e., likelihood ratio test of fit) for structural equation models whethr with or without latent variables. The chi-square statistic is asymptotically correct; however, it does not behave as expected in small samples and/or when the model is complex (cf. Herzog, Boomsma, & Reinecke, 2007). Thus, particularly in situations where the ratio of sample size (n) to the number of parameters estimated (p) is relatively small (i.e., the p to n ratio is large), the chi-square test will tend to overreject correctly specified models. To obtain a closer approximation to the distribution of the chi-square statistic, Swain (1975) developed a correction; this scaling factor, which converges to 1 asymptotically, is multiplied with the chi-square statistic. The correction better approximates the chi-square distribution resulting in more appropriate Type 1 reject error rates (see Herzog & Boomsma, 2009; Herzog, et al., 2007).
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Iowa’s Division of Criminal and Juvenile Justice Planning (CJJP) recently completed an evaluation of the 2nd Judicial District’s Rural Prisoner Reentry Initiative (PRI), which provided reentry services to offenders both while in prison and after release.