This study examines the importance of public research and development (R&D) expenditures and innovations (prices) to U S agricultural productivity employing panel vector error correction econometric technique Specifically, time-series and panel unit root tests, panel cointegration procedures, panel causality tests, and vector error correction model are used in the analysis. Empirical application to U S state-level data for 1960-2004 suggests positive and statistically significant influence of both supply-side
drivers, in the form of public R&D expenditures, and demand-side drivers, in the form of innovations (prices), on total factor productivity growth.
Identifer | oai:union.ndltd.org:ndsu.edu/oai:library.ndsu.edu:10365/29848 |
Date | January 2011 |
Creators | Glazyrina, Anna |
Publisher | North Dakota State University |
Source Sets | North Dakota State University |
Detected Language | English |
Type | text/thesis |
Format | application/pdf |
Rights | NDSU policy 190.6.2, https://www.ndsu.edu/fileadmin/policy/190.pdf |
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