This article measures economic returns to research investment in Chinese ag
riculture using the production function approach. A stock-of-knowledge vari
able constructed from the past research investment is directly included in
the production function as an explanatory variable in the production functi
on. Improved rural infrastructure, irrigation, and education are also inclu
ded as explanatory variables to avoid the upward bias in the estimates of r
eturns to agricultural research. A two-way variable coefficients technique
is used in the estimation to reduce estimation biases due to the remaining
measurement and omitted variables problems. Sensitivity analyses are conduc
ted to test the effects of various lag structures on the return estimates,
The results show that rates of return to research investment in Chinese agr
iculture are high, ranging from 36% to 90% in 1997, and the rates are incre
asing over time.