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        <dc:title>Spillover impacts of agricultural research: a review&#13;
of studies. Working Paper Series no. 8</dc:title>
        <dc:creator>Deb, U K</dc:creator>
        <dc:creator>Bantilan, M C S</dc:creator>
        <dc:subject>Agriculture-Farming, Production, Technology, Economics</dc:subject>
        <dc:description>The spillover impacts of agricultural research are very important for research policy formulation. This paper reviews the&#13;
existing literature on the policy effects of research and summarizes the methodologies used for quantifying the spillover&#13;
impacts. Three types of spillover effects have been identified on the basis of the existing literature: across-location spillover,&#13;
across-commodity spillover, and price spillover effects. The former two are direct effects, and the latter indirect. Acrosslocation&#13;
or across-environment spillover effects relate to a situation in which a technology developed for one crop at a&#13;
specific location can be adopted to improve the production efficiency of the same crop at other locations. Across-commodity&#13;
spillover effects occur when the technology developed has applicability for other commodities. Price spillover effects occur&#13;
when the technological change for a particular commodity at a specific location increases supply and changes the price of the&#13;
commodity at other locations through trade. Two types of measurement techniques, subjective and objective, have been used&#13;
to assess spillover effects in agriculture. Subjective estimates are based on value judgments rather than experimental or onfarm&#13;
yield and cost data, and are often arrived at through elicitation from experts. Objective estimates on the other hand are&#13;
based on hard data and evidence reflecting the extent of applicability of a new technology across environments or&#13;
commodities beyond the designed research target. Both subjective and objective estimates are used in the empirical&#13;
quantification of across-location spillover impacts. However, only a theoretical model (no empirical quantification) is&#13;
available for the estimation of across-commodity spillover. Price spillover effects are estimated in conjunction with the&#13;
across-environment technology spillover. Studies have quantified across-location spillover impacts using economic surplus&#13;
models, subjectively and objectively. Quantification of spillover benefits from germplasm research conducted at ICRISAT&#13;
would be very useful in research evaluation and policy planning.</dc:description>
        <dc:publisher>International Crops Research Institute for the Semi-Arid Tropics</dc:publisher>
        <dc:date>2001</dc:date>
        <dc:type>Monograph</dc:type>
        <dc:type>NonPeerReviewed</dc:type>
        <dc:format>application/pdf</dc:format>
        <dc:language>en</dc:language>
        <dc:identifier>http://oar.icrisat.org/3820/1/WPS8.pdf</dc:identifier>
        <dc:identifier>  Deb, U K and Bantilan, M C S  (2001) Spillover impacts of agricultural research: a review of studies. Working Paper Series no. 8.  Working Paper. International Crops Research Institute for the Semi-Arid Tropics, Patancheru, Andhra Pradesh, India.     </dc:identifier></oai_dc:dc>
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