1,720,968 research outputs found

    Global Momentum and Survey Research Priorities

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    Rural economies are in transition around the world; in many countries, improved technology and linkages across sectors have expanded access to markets and accelerated production for some farmers. At the same time, rural areas globally are facing a growing base of landless and smallholder farmers, out-migration to urban areas, and persistence of low-skilled, informal, and seasonal jobs where women are often heavily concentrated. Recent global initiatives are examining programs that can effectively raise rural incomes, including how addressing shortfalls in wome's hours worked and earnings can raise rural productivity and growth. But well-designed policies to address these issues require improved counting of individuals' employment, accounting for the complexity of measuring rural women's labor force participation, as well as data on social, economic, and institutional constraints that women face in seeking better economic opportunities. Using recent rounds of the Ethiopia, Malawi, Nigeria, and Uganda Living Standards and Measurement Study-Integrated Surveys on Agriculture, as well as findings from recent country pilots conducted by the International Labour Organization, this paper discusses best practices and issues to consider when examining rural women's employment in socioeconomic surveys, as well as a survey research agenda to improve measurement

    Estimating the long-term impacts of rural roads : a dynamic panel approach

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    Infrastructure investments are typically long-term. As a result, observed benefits to households and communities may vary considerably over time as short-term outcomes generate or are subsumed by longer-term impacts. This paper uses a new round of household survey as part of a local government engineering department's rural road improvement project financed by the World Bank in Bangladesh to compare the short-term and long-term effects of rural roads over eight years. A dynamic panel model, estimated by generalized method of moments, is applied to estimate the varying returns to public road investment accounting for time-varying unobserved characteristics. The results show that the substantial effects of roads on such outcomes as per capita expenditure, schooling, and prices as observed in the short run attenuate over time. But the declining returns are not common for all outcomes of interest or all households. Employment in the rural non-farm sector, for example, has risen more rapidly over time, indicating increasing returns to investment. The very poor have failed to sustain the short-term benefits of roads, and yet the gains accrued to the middle-income groups are strengthened over time because of changing sectors of employment, away from agriculture toward non-farm activity. The results also show that initial state dependence -- or initial community and household characteristics as well as road quality -- matters in estimating the trajectory of road impacts.Transport Economics Policy&Planning,Housing&Human Habitats,Economic Theory&Research,Rural Poverty Reduction,Rural Roads&Transport

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

    Journal of Development Studies

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    The mechanisms by which the poor benefit from economic growth remain a topic of debate in development literature. We address this issue in the context of rural Bangladesh, using a pooled dataset of three household panels between 1991-2001. Expansion of irrigation, paved roads, electricity, and access to formal and informal credit have (through different veins) led to higher rural farm and non-farm incomes, accounting for exogenous local agroclimatic endowments that explain a large part of the variation in the growth of infrastructure and credit programmes. However, this has not translated into substantial reductions in poverty for the poorest households

    Does Institutional Finance Matter for Agriculture? Evidence Using Panel Data from Uganda

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    Smallholder agriculture in many developing countries has remained largely self-financed. However, improved productivity for attaining greater food security requires better access to institutional credit. Past efforts to extend institutional credit to smaller farmers has failed for several reasons, including subsidized operation of government-aided credit schemes. Thus, recent efforts to expand credit for smallholder agriculture that rely on innovative credit delivery schemes at market prices have received much policy interest. However, thus far the impacts of these efforts are not fully understood. This study examines credit for smallholder agriculture in the context of Uganda, where agriculture is about 35 percent of gross domestic product, most farmers are smallholders, and the country has introduced policies since 2005 to extend credit access to the sector. The analysis uses newly available household panel data from Uganda for 2005-2006 and 2009-2010 to examine (a) whether credit effectively targets agriculture, by examining determinants of borrowing across different sources; (b) agricultural and nonagricultural determinants of supply and demand credit constraints among non-borrowers; and (c) the effects of borrowing and credit constraints on household income, consumption, and agricultural outcomes. The analysis finds that although not many households report borrowing specifically for agriculture, credit is fungible and agricultural outcomes do substantially improve with institutional borrowing, particularly microcredit. Among non-borrowers, supply and demand credit constraints have fallen considerably over the period, particularly in rural areas. Access to institutions and infrastructure play a strong role in alleviating the negative effect of credit constraints on welfare outcomes, as well as determining the source of lending among borrowing households

    Variations on the Author

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    “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

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    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

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    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

    Author Index

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