1,721,485 research outputs found

    Exports of Livestock Products from India: Performance, Competitiveness and Determinants

    Full text link
    The paper has examined temporal changes in the composition of livestock exports, assessed the export competitiveness of different livestock products and analysed the factors affecting the growth of livestock export. The performance of livestock export has been found noteworthy. The liberalization policy initiated in 1991 seems to have improved the performance of livestock exports. The study has revealed that India is competitive in export of meat products, except poultry. The export of buffalo meat has been increasing consistently and the poor domestic demand has further fuelled its export. But, the export of mutton does not seem to have much prospects in the short-run, as even the domestic demand is not being met by domestic production. In milk and milk products, India has some advantage at the farm level, but is not competitive in export of milk and milk products under the prevailing world market situation. The domestic policy initiatives and increased production and productivity have been identified as the important factors in increasing the export of livestock products. The study has suggested that strengthening of export supply capacity domestically holds the key for enhancing export of livestock products rather than expanding world market.Agricultural and Food Policy,

    Rural Employment Diversification in India: Trends, Determinants and Implications on Poverty

    Full text link
    This paper has studied rural employment diversification in India and across major states using NSSO data at household level for the period 1983 and 2009-10. Factors affecting rural employment diversification towards non-farm sector have also been studied. Analysis has shown that the non-farm sector has consistently grown over time and employed nearly one-third of the rural workforce in 2009-10, as compared to merely one-fifth in 1983 at all-India level. The similar trend is seen across major states as well, though the pace and pattern varied widely. In providing employment to rural workforce, increasing dominance of crop production, followed by animal husbandry was observed across major states during 2009-10. The share of fishery and forestry was negligible in providing employment to the rural workforce. The study has revealed that the increasing rural non-farm employment has positive and significant effect on reducing rural poverty at all-India level. A positive link between income and employment has also been observed in diversifying towards horticultural activities. A well designed area-specific programme should be evolved to help improve skill of rural workforce, which in turn would benefit in getting employment in the non-farm sector.Rural employment, Employment diversification, Crop sector, Agricultural and Food Policy, J21, J23, O15, O18,

    Institutional Credit to Agriculture Sector in India: Status, Performance and Determinants

    Full text link
    The institutional credit has been conceived to play a pivotal role in the agricultural development of India. A large number of institutional agencies are involved in the disbursement of credit to agriculture. However, the persistence of money lenders in the rural credit market is still a major concern. In this backdrop, the present study has examined the performance of agricultural credit flow and has identified the determinants of increased use of institutional credit at the farm household level in India. The study based on the secondary data compiled from several sources, has revealed that the institutional credit to agriculture in real terms has increased tremendously during the past four decades. The structure of credit outlets has witnessed a significant change and commercial banks have emerged as the major source of institutional credit in recent years. But, the declining share of investment credit in the total credit may constrain the sustainable agricultural growth. The quantum of institutional credit availed by the farming households is affected by a number of socio-demographic factors which include education, farm size, family size, caste, gender, occupation of household, etc. The study has suggested simplification of the procedure for a better access to agricultural credit of smallholders and less-educated/illiterate farmers.Agricultural and Food Policy,

    Going Beyond Counting First Authors in Author Co-citation Analysis

    Full text link
    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Contract Farming of Ginger in Nepal, 2014

    No full text
    The data is collected through a primary field survey of around 600 ginger-cultivating farm households in Nepal, using a structured questionnaire. It aims at identifying the determinants of participation in contract farming of ginger in Nepal and assess impact of contract on farmers’ profits and adoption of food safety practices at farm-level. The data includes farm and farmer characteristics, cropping pattern, economics of cultivation, marketing channels, and good agricultural practices. The survey was conducted during December 2014 in the hill districts of Pyuthan, Palpa, and Arghakhanchi, located in the Western and Mid-western development regions of Nepal. These districts were chosen due to high concentration of contract farmers there. The sample comprises 322 contract farmers and 283 noncontract farmers.IFPRI1; Open Access;SAR

    Variations on the Author

    Full text link
    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

    Full text link
    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

    Full text link
    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
    corecore