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El Nino, La Nina, and world coffee price dynamics
被引:44
|作者:
Ubilava, David
[1
]
机构:
[1] Mississippi State Univ, Dept Agr Econ, Mississippi State, MS 39762 USA
关键词:
C32;
Q11;
Q54;
El Nino Southern Oscillation;
Coffee prices;
Smooth transition autoregression;
Generalized impulse-response functions;
TRANSITION AUTOREGRESSIVE MODELS;
ERROR-CORRECTION MODELS;
SPOT PRICES;
CORN YIELDS;
PACIFIC-OCEAN;
UNITED-STATES;
TIME-SERIES;
NONLINEARITIES;
COINTEGRATION;
ANOMALIES;
D O I:
10.1111/j.1574-0862.2011.00562.x
中图分类号:
F3 [农业经济];
学科分类号:
0202 ;
020205 ;
1203 ;
摘要:
Coffee is produced in equatorial and subequatorial regions of the world, which are also most affected by El Nino Southern Oscillation (ENSO). ENSO events have a tendency to amplify weather conditions such as droughts or excess precipitation in the affected regions, resulting in production shortage or excess supply, subsequently impacting agricultural commodity prices. In this research we assess effects of ENSO events on world coffee price dynamics using the monthly data between March 1989 and December 2010. We employ smooth transition autoregression framework to examine nonlinear dynamics of ENSO and coffee prices, and illustrate the results of this research using generalized impulse-response functions. We find that ENSO events indeed have short-term impacts on coffee prices. The research findings are of interest to coffee producers and intermediaries in the coffee markets as well as researchers in the fields of environmental and development economics.
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页码:17 / 26
页数:10
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