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Research and Productivity in Thai Agriculture

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Author Info
Waleerat Suphannachart
Peter Warr ()
Abstract

This paper examines the impact that publicly funded agricultural research has on productivity in crop production within Thailand. It tests empirically the two hypotheses that, first, publicly funded research and development (R&D) in crop production is a significant determinant of total factor productivity (TFP) in the crop sector and, second, that its social rate of return is high. The statistical analysis applies error correction methods to national level time series data for Thailand, covering the period 1970 to 2006. Emphasis is given to public research in crop production, where most publicly funded agricultural R&D has occurred. The role of international research spillovers and other possible determinants of TFP are also taken into account. The results demonstrate that public investment in research has a positive and significant impact on TFP. International research spillovers have also contributed to TFP. The results support the finding of earlier studies that returns on public research investment have been high. This result holds even after controlling for possible sources of upward biases present in most such studies, due to the omission of alternative determinants of measured TFP. The findings raise a concern over declining public expenditure on crop research, in Thailand and many other developing countries.

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File URL: http://rspas.anu.edu.au/economics/publish/papers/wp2009/wp_econ_2009_11.pdf
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Paper provided by Australian National University, Economics RSPAS in its series Departmental Working Papers with number 2009-11.

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Length: 40 pages
Date of creation: 2009
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Handle: RePEc:pas:papers:2009-11

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Related research
Keywords: agricultural research; productivity; Thai agriculture; error correction model;

Find related papers by JEL classification:
O30 - Economic Development, Technological Change, and Growth - - Technological Change - - - General
Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Agricultural Extension Services
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions

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This page was last updated on 2009-11-30.


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