1,720,959 research outputs found
Adoption of Multiple Dairy Farming Technologies – Issues and Opportunities for Smallholder Dairy Farmers in West Java, Indonesia
No full textIncreasing domestic demand for dairy products presents market opportunities for smallholder dairy farmers in Indonesia. However, low productivity and poor milk quality prevent most smallholder dairy farmers from benefitting from these opportunities. The adoption of improved dairy farming technologies and practices can increase smallholder dairy farmers’ milk productivity and milk quality. There have been many dairy development programs in Indonesia attempting to increase technology adoption; yet, adoption of key technologies remains low. This thesis attempts to understand Indonesian smallholder dairy farmers’ awareness of technologies, their adoption behaviour, and their main barriers to adopting multiple technologies. It also examines the effects of technology adoption on smallholders’ milk production. The thesis has three main analytical chapters, which address the research objectives through multiple methods: descriptive analysis, cluster analysis and econometric modelling. The analytical chapters use a primary cross-sectional dataset from a survey of 600 dairy farming households located in four dairy producing districts in West Java Province, Indonesia. A Latent Class cluster analysis is used in the first analytical chapter to identify two unique subgroups of dairy farming households based on their awareness and adoption patterns (adoption, dis-adoption, and continued adoption) of multiple on-farm dairy technologies. Relative to the ‘High awareness/high adoption’ cluster, households in the ‘Low awareness/low adoption’ cluster have significantly lower levels of awareness of all technologies; and, among ‘aware’ households, technology adoption rates are also significantly lower. Farmers in the Low awareness/low adoption cluster are older, have less formal education, manage fewer dairy cows, have less productive and profitable dairy enterprises, live further away from the cooperative and farmer group leader, and have fewer contacts with dairy extension staff. Farmers face multilayered and heterogenous constraints to adopting dairy technologies. Thus, technology dissemination programs need to ensure they meet the unique needs of subgroups of farmers. A Multinomial Endogenous Switching Regression (MESR) approach is used in the second analytical chapter to estimate the effects of three feed technology bundles on milk production. The adoption of feed technology bundles is significantly associated with smallholder farmers’ ownership of capital. Further, the adoption of technology bundles has positive and robust effects on milk production per cow, with greater effects if the technology bundle includes high protein feed concentrates. We suggest improving farmers’ awareness of the benefits of complementary technologies and improving access to inputs, such as high-quality feed concentrates. The final analytical chapter uses a new institutional economics lens to understand factors contributing to the dis-adoption of key technologies. Farmers’ reasons for dis-adoption centred on limited availability and affordability of inputs, as well as limited knowledge and lack of improved skills required for adoption. Current institutional arrangements for milk and input quality assessment and institutions provision of dairy farm inputs and services are ineffective, and contribute to dis-adoption. Programs and policies aiming to increase farmers’ adoption of technologies need to address constraints at both a farm and an institutional level.Thesis (Ph.D.) -- University of Adelaide, Centre for Global Food and Resources, 202
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Variations on the Author
Get PDF“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
Get PDFWe 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
Get PDFWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Adoption of multiple dairy farming technologies by the Indonesian smallholder dairy farmers: A latent class analysis approach
Get PDFAdoption of agricultural innovations are still low, particularly among smallholder farmers in developing countries. Despite a significant amount of literature on the adoption of agricultural technologies, most of the previous studies have focused on the adoption of a single technology and employed univariate analysis in understanding the significant factors that associate with the adoption decisions. However, farmers are more likely to adopt multiple technologies as complements or substitutes and to maximise their expected benefit from the adoption decisions while constrained by their limited budget and access to information. This study contributes to the literature by studying adoption of multiple technology bundles and its implications in the design of strategies to improve dairy extension programs in Indonesia. The increasing demand for milk products in Indonesia creates a market opportunity for domestic milk producers. Most of the domestic milk supply is produced in small dairy farms with an average herd size two to three dairy cows per farm, producing around 10 litres of relatively low-quality milk per cow per day [1]. Adoption of productivity-enhancing and quality-enhancing dairy farm technologies is likely to enable smallholder dairy farmers to capture this market opportunity. This study is part of a large Australian Centre for International Agricultural Research (ACIAR) project called IndoDairy, focused on improving the livelihoods of smallholder dairy farmers in Indonesia. Thus, we use data from our recent survey of 600 dairy farm households conducted in August 2017 in West Java, Indonesia. We analyse the pattern of adoption of multiple technologies at the farm-level. Results from Latent Class Cluster analyses suggest that there are three different clusters of smallholder farmers based on the dairy technologies they adopted, reflecting that smallholder farmers have different technology needs. Socio-demographic characteristics of the smallholder farmers help explain why these clusters are different in technologies they adopted
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