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~source:"econis"
~subject:"Crop yield"
~subject:"Premiums"
~subject:"Südkorea"
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Kim, Renee B.
5
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3
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2
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1
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1
Park, Joonyong
1
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ECONIS (ZBW)
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1
Wal-Mart Korea : challenges of entering a foreign market
Kim, Renee B.
- In:
Journal of Asia Pacific business
9
(
2008
)
4
,
pp. 344-357
Persistent link: https://www.econbiz.de/10003794552
Saved in:
2
Transformation of an emerging economy to a knowledge-based economy : Korean case
Kim, Renee B.
- In:
Global business review
9
(
2008
)
1
,
pp. 149-156
Persistent link: https://www.econbiz.de/10003794723
Saved in:
3
South Korean hotel meat buyers' perceptions of Australian, Canadian and US beef
Unterschultz, James R.
;
Quagrainie, Kwamena K.
;
Veeman, …
- In:
Canadian journal of agricultural economics : CJAE
46
(
1998
)
1
,
pp. 53-68
Persistent link: https://www.econbiz.de/10001245709
Saved in:
4
Assessment of the economic benefits from U.S. Meat Export Federation (USMEF)’s marketing investment in South Korea
Kim, Renee B.
;
Park, Jong Min
- In:
Journal of food products marketing
23
(
2017
)
3
,
pp. 283-302
Persistent link: https://www.econbiz.de/10011708216
Saved in:
5
A new approach to segmenting multichannel shoppers in Korea and the U.S.
Park, Joonyong
;
Kim, Renee B.
- In:
Journal of retailing and consumer services
45
(
2018
),
pp. 163-178
Persistent link: https://www.econbiz.de/10011929948
Saved in:
6
Factors affecting crop insurance purchases in China : the Inner Mongolia region
Boyd, Milton
;
Pai, Jeffrey
;
Zhang, Qiao
;
Wang, H. Holly
; …
- In:
China agricultural economic review : publ. in …
3
(
2011
)
4
,
pp. 441-450
Persistent link: https://www.econbiz.de/10009547004
Saved in:
7
Livestock mortality insurance : development and challenges
Boyd, Milton
;
Pai, Jeffrey
;
Porth, Lysa
- In:
Agricultural finance review
73
(
2013
)
2
,
pp. 233-244
Persistent link: https://www.econbiz.de/10010187492
Saved in:
8
Using a machine learning approach and big data to augment WASDE forecasts : empirical evidence from US corn yield
Roznik, Mitchell
;
Mishra, Ashok K.
;
Boyd, Milton
- In:
Journal of forecasting
42
(
2023
)
6
,
pp. 1370-1384
Persistent link: https://www.econbiz.de/10014338902
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