Written in EnglishRead online
Includes bibliographical references (p. 120-148).
|Statement||Julian M. Alston ... [et al.].|
|Series||Research report -- 113., Research report (International Food Policy Research Institute) -- 113.|
|Contributions||Alston, Julian M.|
|LC Classifications||S540.E25 M47 2000|
|The Physical Object|
|Pagination||x, 148 p. :|
|Number of Pages||148|
|LC Control Number||00040733|
Download A meta-analysis of rates of return to agricultural R&D
IFPRI has long argued that spending on agricultural research constitutes a sound investment in poverty reduction and agricultural and economic growth, through improvements in productivity.
This argument is based partly on the reported evidence of high rates of return to agricultural research, typically believed to be in the range of 40–60 percent per year. A Meta-Analysis of the Rates of Return to Agricultural R & D by Julian M.
Alston,available at Book Depository with free delivery worldwide. This argument is based partly on the reported evidence of high rates of return to agricultural research, typically believed to be in the range of 40–60 percent per year.
title = "A meta-analysis of rates of return to agricultural R and D. Ex Pede Herculem?", abstract = "Conventional wisdom is that investments in agricultural R and D have yielded handsome dividends for society, more than enough to justify past investments and to support increased funding in the by: A Meta-Analysis of Rates of Return to Agricultural R&D: Ex Pede Herculem.
Author(s): Julian M. Alston, Connie Chan-Kang, Michele C. Marra, Philip G. Pardey and T.J. Wyatt. A total of studies of returns to agricultural R&D were compiled and these provide estimates of rates of return.
After removing statistical outliers and incomplete observations, across the remaining observations the estimated annual rates of return averaged 65 per cent overall — 80 per cent for research only, 80 per cent for extension only, and 47 per cent for research and Cited by: Ranges of rates of return 55 Rates of return by measure attributes 56 Rates of return by author 57 Rates of return by commodity orientation 58 Lag length, lag structure, and the returns to R&D 60 Rates of return by geographical region of research performer 62 Summary of explanatory variables 64 Frequencies of various rate of return characteristics 68 A metastudy of economic rates of return to agricultural research and extension found a mean rate of return of 58% for extension across studies (Alston et al.
A Meta-Analysis of Rates of Return to Agricultural R&D:Ex Pede Herculem. Home IFPRI Publications A meta-analysis of rates of return to agricultural R & D Comment Rate. Save to favorites. To link to this object, paste this link in email, IM or document To embed this object, paste this HTML in website.
A meta-analysis of rates of return to agricultural R & D. View Description. Page Flip View: Download: small. Downloadable. IFPRI has long argued that spending on agricultural research constitutes a sound investment in poverty reduction and agricultural and economic growth, through improvements in productivity.
This argument is based partly on the reported evidence of high rates of return to agricultural research, typically believed to be in the range of 40–60 percent per year.
Get this from a library. A meta-analysis of rates of return to agricultural R & D: ex pede Herculem?. [Julian M Alston;]. Alston, J.M. et al. A meta-analysis of rates of return to agricultural R&D: Ex pede herculum. International Food Policy Research Report Washington, DC: International Food Policy Research Institute.
Binswanger-Mkhize, H. and Zhou, Y. Proceedings of the roundtable consultation on agricultural extension for. Forthe rate of return on a book-value basis is almost triple the market value rate of return (Hottel and Evans, ta-bles 5 and 6).
Now we turn to the economic significance of Table 1. Estimates of Average Returns to Equity Capital in Farm Production Assets from U.S. Farm Production, Market Value Basis, Rate of Return as a. Introduction to meta-analysis / Michael Borenstein [et al.]. ; cm. Includes bibliographical references and index.
ISBN (cloth) 1. Meta-analysis. Borenstein, Michael. A meta-analysis of rates of return to agricultural R&D book 1. Meta-Analysis as Topic. WA I ]. RM48I58 —dc22 A catalogue record for this book is available from the.
Agricultural R&D also is an important element of the story, a critical policy instrument that governments can apply to influence the path of agricultural productivity. Organized public and private investment in agricultural R&D was a primary driver of the comparatively rapid growth in agricultural productivity experienced in the latter half of Cited by: Acknowledgments.
Machine-readable bibliographic record - MARC, RIS, BibTeX Document Object Identifier (DOI): /w Published: easuring the returns to R&D, with Jacques Mairesse and Pierre Mohnen, November Draft of chapter prepared for the Elsevier Handbook of the Economics of Innovation, B.
Hall and N. Rosenberg (eds.), April Cited by: This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R.
As such, the book introduces the key concepts and models used in meta-analysis. G Schwarzer IMBI Freiburg Meta-analysis with R Singapore, 14 October 3 Background R packages for meta-analysis R in Action Summary R package meta Function Comment metabin Meta-analysis of binary outcome data metacont Meta-analysis of continuous outcome data metagen Generic inverse variance meta-analysis 5 Import RevMan 5 data ﬁles File Size: KB.
Growth in Agriculture Harvesting Prosperity. Harvesting Prosperity. Harvesting Prosperity Technology and Productivity Growth in Agriculture R&D Elasticities, and the Rate of Return to Research.
The Expansion of Animal Protein Industries in Nigeria and Bangladesh. Policies and Innovation in China’s Agricultural File Size: 3MB.
This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R.
As such, the book introduces the key concepts and models used in by: AN INTRODUCTION TO RISK AND RETURN CONCEPTS AND EVIDENCE by Franco Modigliani and Gerald A.
Pogue1 Today, most students of financial management would agree that rate of return is the average of +% and %, or +25%. But an asset purchased for $ and having a value of $ two years later did not ' earn 25%; it clearly earned a zero. These are consistent with earlier meta-analyses (Alston et al, a, b; Evenson, ) as well as a more recent review (Alston, ) of the returns to public investments in agricultural research, development and extension, which show that internal rates of return are by: by Joseph Rickert Broadly speaking, a meta-analysis is any statistical analysis that attempts to combine the results of several individual studies.
The term was apparently coined by statistician Gene V Glass in a speech he made to the American Education Research Association. Since that time, not only has meta-analysis become a fundamental tool in medicine, but it is also. Planning is a critical process when starting a new business or introducing a new product.
Market Analysis shows readers how to execute a feasibility study for more effective planning. A step-by-step approach leads the reader through the feasibility analysis process and describes what needs to be done and how to do it.
Techniques and tools used in preparing a feasibility study are emphasized Reviews: 1. rates of return at an agriculture entity being highlight the benefical financial impact of the European funds on the increasing of the organisation profitability.
Key words: information, rezult, analysis, european project, agriculture, rate of : Bumbescu Sorina Simona, Dimi Ofileanu. Research returns redux: a meta‐analysis of the returns to agricultural R&D JM Alston, MC Marra, PG Pardey, TJ Wyatt Australian Journal of Agricultural and Resource Economics 44 (2), Inthe share of private investment in total agriculture R&D spend was a trivial 3 per cent which grew to 9 per cent in and 16 per cent in in : Bhuwan Bhaskar.
Global food security will remain a worldwide concern for the next 50 years and beyond. Recently, crop yield has fallen in many areas because of declining investments in research and infrastructure, as well as increasing water scarcity.
Climate change and HIV/AIDS are also crucial factors affecting food security in many regions. Although agroecological approaches offer some promise for Cited by: Definition of book rate of return.
book rate of return. Accounting income divided by book value. Also called accounting rate of return. Related Terms: Abnormal returns. Part of the return that is not due to systematic influences (market wide influences).
In other words, abnormal returns are above those predicted by the market movement alone. Calculating the ROIC for a Company. A company’s return on invested capital can be calculated by using the following formula: The book value is considered more appropriate to use for this calculation than the market value.
The return on capital invested calculated using market value for a rapidly growing company may result in a misleading number. With meta-analysis methods playing a crucial role in health research in recent years, this important and clearly-written book provides a much-needed survey of the field.
Meta-analysis provides a framework for combining the results of several clinical trials and drawing inferences about the effectiveness of medical treatments.
The move towards evidence-based health care and practice is. A key finding is that the social rate of return to investments in agricultural R&D has been generally high. Specific findings differ depending on methods and modelling assumptions, particularly assumptions concerning the research lag distribution, the nature of the research-induced technological change, and the nature of the markets for the Cited by: On the other hand, meta-analysis would furnish the risk assessor and the modeler with meaningful effect size distributions.
It is interesting to see that the first „primitive‟ form of meta-analysis was conducted for nothing else than agricultural experiments in. In general, meta-analysis will allow the researcher.
T1 - Risk Factors for Agricultural Injury. T2 - A Systematic Review and Meta-analysis. AU - Jadhav, Rohan. AU - Achutan, Chandran. AU - Haynatzki, Gleb.
AU - Rajaram, Shireen. AU - Rautiainen, Risto. PY - /10/2. Y1 - /10/2. N2 - The objective of this study was to identify significant risk factors for agricultural injury based on the Cited by: As an example, estimates of rates of return to R&D in agriculture routinely fall between 30–40%, higher than many alternative investments.
However, R&D as a share of agricultural GDP is 6 times higher in advanced countries than developing countries; R&D/worker is 50 times higher. World Bank calls for agricultural productivity drive to cut poverty.
Since the s agricultural output has far This matters because R&D has a much higher rate of return in agriculture. Patents and R&D Expenditures Are Closely Related and Rise with Income R&D Intensity Rises with Convergence to the Productivity Frontier R&D per Worker on Imitation and Radical Innovation Also Rises with.
Review and Meta-analysis of Emerging Risk Factors for Agricultural Injury. Jadhav R(1), Achutan C(2), Haynatzki G(3), Rajaram S(4), Rautiainen R(2). Author information: (1)a Department of Environmental and Occupational Health, University of Nevada, Las Vegas, Las Vegas, Nevada, by: !.
e e r r e e H H n n i i g g e e B B t t o o N N o o D D l l l l i i t t S S:: g g n n i i n n r r a WW a A meta-analysis starts with a systematic review. A systematic review is a File Size: KB. bmeta is a R package that provides a collection of functions for conducting meta-analyses and meta-regressions under a Bayesian context, using package includes functions for computing various effect size or outcome measures (e.g.
odds ratios, mean difference and incidence rate ratio) for different types of data (e.g. binary, continuous and count, respectively), based on Markov Chain.Rice and risk: Decision-making among low-income farmers (Contributions to economic analysis) [Roumasset, James A] on *FREE* shipping on qualifying offers.
Rice and risk: Decision-making among low-income farmers (Contributions to economic analysis)Cited by: "Recalibrating the Reported Rates of Return to Food and Agricultural R&D" Xudong Rao, Terrance M.
Hurley and Philip G. Pardey A poster presented at the Agricultural and Applied Economics Association (AAEA): Annual Meeting, Seattle, Washington, August