TY - JOUR
T1 - Estimating crop yield supply responses to be used for market outlook models
T2 - Application to major developed and developing countries
AU - Jongeneel, Roel
AU - Gonzalez-Martinez, Ana Rosa
PY - 2020/12
Y1 - 2020/12
N2 - The evolution of yields is one of the driving factors explaining crop supply growth. Part of this is explained by how yields react to prices, though there is a lot of uncertainty about the price-responsiveness of yields. Using information from various sources such as agronomy, economic theory and economic literature an in-depth assessment of yield price responsiveness is made. The result is used as a set of prior-information, which is subsequently taken into account to re-estimate yield price supply responses for 20 main crops in major producing developed and developing countries, using OLS and Mixed Estimation (ME) approaches. The outcomes indicate that price-responsiveness is usually low. Moreover, the ME results are different than the current estimates used in the OECD-FAO's market outlook model, showing stronger differentiation among crops/countries. The Mixed Estimation is found useful to overcome typical problems encountered when estimating yield-price responsiveness, such as violations of economic theory, insignificance of estimated parameters and inconsistencies with agronomic knowledge regarding the size of the estimated responses.
AB - The evolution of yields is one of the driving factors explaining crop supply growth. Part of this is explained by how yields react to prices, though there is a lot of uncertainty about the price-responsiveness of yields. Using information from various sources such as agronomy, economic theory and economic literature an in-depth assessment of yield price responsiveness is made. The result is used as a set of prior-information, which is subsequently taken into account to re-estimate yield price supply responses for 20 main crops in major producing developed and developing countries, using OLS and Mixed Estimation (ME) approaches. The outcomes indicate that price-responsiveness is usually low. Moreover, the ME results are different than the current estimates used in the OECD-FAO's market outlook model, showing stronger differentiation among crops/countries. The Mixed Estimation is found useful to overcome typical problems encountered when estimating yield-price responsiveness, such as violations of economic theory, insignificance of estimated parameters and inconsistencies with agronomic knowledge regarding the size of the estimated responses.
KW - Mixed estimation
KW - Prior information
KW - Yield price responsiveness
U2 - 10.1016/j.njas.2020.100327
DO - 10.1016/j.njas.2020.100327
M3 - Article
AN - SCOPUS:85086455266
VL - 92
JO - NJAS: Impact in Agricultural and Life Sciences
JF - NJAS: Impact in Agricultural and Life Sciences
SN - 1573-5214
M1 - 100327
ER -