text
stringlengths 0
93
|
|---|
to O
|
assess O
|
risks O
|
and O
|
the O
|
role O
|
of O
|
insurance B-climate-mitigations
|
for O
|
cotton B-climate-assets
|
and O
|
sugar B-climate-assets
|
cane I-climate-assets
|
farmers O
|
in O
|
Queensland O
|
. O
|
-DOCSTART- -X- O O 63546017db5530cfda3a3b2be2c52ef7
|
This O
|
study O
|
aims O
|
to O
|
assess O
|
the O
|
effects O
|
of O
|
climate O
|
variability O
|
on O
|
maize B-climate-assets
|
yield O
|
in O
|
Tanzania O
|
. O
|
Regression O
|
, O
|
co O
|
integration O
|
and O
|
ARIMA O
|
models O
|
were O
|
applied O
|
. O
|
The O
|
regression O
|
results O
|
showed O
|
that O
|
, O
|
April O
|
monthly B-climate-properties
|
rainfall I-climate-properties
|
for O
|
Arusha O
|
was O
|
significant O
|
( O
|
0.0027 O
|
) O
|
. O
|
There O
|
are O
|
significant O
|
positive O
|
long O
|
run O
|
relationships O
|
between O
|
maize B-climate-assets
|
yield O
|
and O
|
rainfall B-climate-nature
|
for O
|
Arusha O
|
, O
|
Dodoma O
|
, O
|
Songea O
|
, O
|
Tabora O
|
and O
|
Musoma O
|
districts O
|
. O
|
-DOCSTART- -X- O O 500a8d8440f9876c1c245cf6272280cf
|
It O
|
catalogues O
|
the O
|
impact O
|
of O
|
climate O
|
change O
|
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