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1989, Research Policy
Using newly developed time series on U.S. public sector agricultural research expenditures, two new deflators for agricultural research are constructed. These deflators differ from others currently used in the literature in that factor level price indices are weighted with time varying weights which capture the shifting factor mix of research spending by the state agricultural experiment stations (SAES). The substantial differences in measuring real resource allocation to agricultural research using these deflators and alternatives found in the literature, including that used by the National Science Foundation to report official R&D statistics, are demonstrated. In addition, the factor level expenditure series are used to contrast measurement of resource allocation in agricultural research from 1890 to the present using real research service flows as opposed to real research expenditures.
1999
This study examines the returns to U.S. agricultural research investments for the years 1930 through 1990 using a cointegration model. Time series data on agricultural productivity, public and private research investments, farmers’ education, terms of trade, and commodity programs were found to be nonstationary and cointegrated. The estimated internal rates of return are 27 percent for public research and 6 percent for private research. These estimates from the most comprehensive and timely data assembled to date indicate that returns to public agricultural research compare favorably to real returns on alternative long-run investments, but do not call for large increases in investments suggested by previous studies or for the drop in public research expenditures appropriated by the U.S. Congress in recent years.
This paper examines three claims of inefficient allocation of public expenditure in publicly funded agricultural research in the United States. It has been argued by analysts of research policy that: 1. The overall level of public investment in agricultural research is less than what would be socially optimal. 2. The present composition of public research investment is excessively myopic in that too little basic research is performed relative to the level of applied research. 3. The allocation of research resources among commodities is inconsistent with economic efficiency. A non-linear optimal growth model of the U.S. economy was employed to test these propositions. Strong support was found for the claim that the overall level of investment has been inadequate. No support was found for the contention that basic research has been relatively underfunded compared to applied research. Weak support was found for the view that crop research has suffered from more acute underfunding than has livestock research.
Journal of Policy Modeling, 1999
ABSTRACT This study examines the returns to U.S. agricultural research investments for the years 1930 through 1990 using a cointegration model. Time series data on agricultural productivity, public and private research investments, farmers’ education, terms of trade, and commodity programs were found to be nonstationary and cointegrated. The estimated internal rates of return are 27 percent for public research and 6 percent for private research. These estimates from the most comprehensive and timely data assembled to date indicate that returns to public agricultural research compare favorably to real returns on alternative long-run investments, but do not call for large increases in investments suggested by previous studies or for the drop in public research expenditures appropriated by the U.S. Congress in recent years.
ifpri.org
Decision making in the agricultural research policy area in either domestic, regional, or international fora can only be aided by access to reliable and comprehensive data on these systems. It is for this reason that ISNAR initiated its Indicator Series Project in 1986. The major objective of this project is to collect, process, and analyze reliable and comprehensive time-series data on national agricultural research systems (NARSs) throughout the world in order to identify and report on major trends and emerging policy issues with regard to the development of NARSs. To this end a database has been developed that contains time-series data on agricultural research expenditures and personnel for more than 150 developing and developed countries. These data provide a quantitative basis for more in-depth research policy studies by ISNAR and others.
Journal of Productivity Analysis, 2012
The internal rate of return (IRR) to public investment in agricultural R&D is estimated for each of the continental U.S. states. Theoretically, our contribution provides a way of obtaining the returns to a local public good using Rothbart's concept of virtual prices. Empirically, we use the spatial dependency among states generated by knowledge spillovers to define the 'appropriate' jurisdiction. We estimate an average own-state rate of 17% and a social rate of 29%. These figures should inform the policy debate on the allocation of federal funds to research in the actual food crisis environment.
SSRN Electronic Journal, 2000
Over the years, proposals have recommended shifting the focus of public agricultural research from applied to basic research, and giving higher priority to peer-reviewed, competitively funded grants. The public agricultural research system in the United States is a Federal-State partnership, with most research conducted at State institutions. In recent years, State funds have declined, USDA funds have remained fairly steady (with changes in the composition of funding), but funding from other Federal agencies and the private sector has increased. Efforts to increase competitively awarded funds for research have fl uctuated over time, as have special grants (earmarks). Along with shifts in funding sources, the proportion of basic research being undertaken within the public agricultural research system has declined. This report focuses on the way public agricultural research is funded in the United States and how changes in funding sources over the last 25 years refl ect changes in the type of research pursued.
Review of Agricultural Economics, 2003
Efforts to improve public agricultural research efficienc include calls to increase use of competitive grants. This paper empirically assesses different instruments the USDA uses to fund state-level research. Compared with other instruments, competitive grants focus more on basic research and are concentrated among fewer states. Model results suggest that top-ranked biology and agricultural science programs were strong determinants of states' shares of competitive grants. Other significan factors were agricultural sector size and number of agricultural scientists. USDA-funded state-level research focus did not change significantl because competitive grants comprised only 15% of these funds and other instruments counteracted their influence G lobally, changes in technologies, privatization of agricultural research and the political economy of public financ have led to funding constraints for public agricultural research. At the same time, research institutions face demands to broaden their research focus and increase efficienc . Changes in funding mechanisms have been proposed as one means of increasing efficienc . In the United States, in particular, some analysts have called for less emphasis on allocating Federal funds to states on a formula basis. Instead, groups such as the National Academy of Sciences and the National Research Council have recommended greater use of competitive grants, allocated on the basis of peer review (National
Journal of Agricultural and Applied Economics, 2017
This article reviews the current debate on whether U.S. agricultural productivity growth is slowing. It also assesses recent research on how productivity is related to long-term investment in research and development (R&D). It describes significant changes taking place in the U.S. agricultural research system, including the growing role of private agribusiness as a main developer of new agricultural technologies and what this implies for agricultural science policy. The conclusion has suggestions for future research on these issues.
Social Science Research Network, 2007
Over the last several decades, the U.S. agricultural sector has sustained impressive productivity growth. The Nation's agricultural research system, including Federal-State public research as well as private-sector research, has been a key driver of this growth. Economic analysis finds strong and consistent evidence that investment in agricultural research has yielded high returns per dollar spent. These returns include benefits not only to the farm sector but also to the food industry and consumers in the form of more abundant commodities at lower prices. While studies using different methods and coverage give a range of estimates of returns to agricultural research, there is a consensus that the payoff from the government's investment in agricultural research has been high.
Agricultural Economics, 2006
Allocations of research funds across programs are often made for efficiency reasons. Social science research is shown to have small, lagged but significant effects on U.S. agricultural efficiency when public agricultural R&D and extension are simultaneously taken into account. Farm management and marketing research variables are used to explain variations in estimates of allocative and technical efficiency using a Bayesian approach that incorporates stylized facts concerning lagged research impacts in a way that is less restrictive than popular polynomial distributed lags. Results are reported in terms of means and standard deviations of estimated probability distributions of parameters and long-run total multipliers. Extension is estimated to have a greater impact on both allocative and technical efficiency than either R&D or social science research.
American Journal of Agricultural Economics, 2014
This work analyzes the research productivity of agricultural and life science faculty in US Land Grant research universities from 1975 to 2005. Production function estimations that control for inputs and demographic characteristics reveal significant improvements after 1980 in faculty research productivity per unit time, especially in the non-top ten universities. Because, however, time available to faculty for research has decreased substantially in the past three decades, overall journal article output per faculty did not increase after the 1980s. Our findings demonstrate large productivity increases, but raise concerns about the optimal allocation of faculty time.
American Journal of Agricultural Economics, 1992
Nonparametric productivity analysis is extended by endogenizing technical progress as a function of public and private research expenditures. Results indicate that 30 year-lags are required to fully capture the effects of public research expenditures on U.S. agricultural productivity. Compared to public research, private research has a stronger influence on farm productivity in the short term but a smaller influence in the longer term. The internal rate of return is found to be 0.41 for public research and 0.36 for private research.
Quality & Quantity, 2019
The economic crisis and the pressure towards efficient and effective use of public money claim for a higher accountability of research expenditure, as well as for a greater proximity of research to the needs of community. While agricultural productivity represents a worldwide goal for agricultural research as a response to growing food, feed and energy demands, other objectives besides productivity are becoming central. The challenge is to take into account broader impacts that go beyond academic and economic ones, and to improve knowledge on the causal impact-generating mechanisms. In this paper, we adopt a causal perspective and estimate the impact of agricultural research expenditure on multiple dimensions. We develop a structural equation model relating research expenditure, research activity, productivity and multiple impact indicators within a dynamic impact pathway, accounting for existing domain knowledge on causal relationships and their lag structures. The model is applied on EU 15 countries over the period 1980-2014, making use of official statistics from several European databases.
1995
Expenditure data for production research in agriculture were collected from the published financial accounts of CSIRO, State Departments of Agriculture and major Universities with interests in agricultural research. fn nominal terms expenditure on rural research in Australia rose from $9m in 1953 to $411m in 1988. Research intensity in nominal terms based on agric1..1ltural GOP rose by a factor of 7.5 from 0.6 percent in 1953 to 4.4 percent in 1988 after peaking at 4.9 percent in 1986. In real terms however, the increase in public sector research has been much less. In dollar terms expenditure increased from $9m in 1953 to $38m in 1988, a factor of about four. The growth in research intensity was also much lower. Real research intensity increased from 0.6 percent in 1953 to 1.6 percent in 1988 after a peak of 2.1 percent in 1973. This suggests pubic sector support for rural research, after increasing significantly in the •sos and '60s, has been drifting down since the early 70s.
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