Smallholder farmers’ preference for climate change adaptation for lowland rain‑fed rice production in Lao PDR-Reference-Cited by-同舟云学术

Smallholder farmers’ preference for climate change adaptation for lowland rain‑fed rice production in Lao PDR

Published:2021 Issue:4 Volume:77 Page:235-244
ISSN:0021-8588
Container-title:Journal of Agricultural Meteorology
language:en
Short-container-title:J. Agric. Meteorol.

Author:

Jong Ahn CHUN ¹,Daeha KIM ²,Youngah LIM ³,Eun‑Jeong LEE ¹,Hyunjung LEE ³,Chang‑Gil KIM ⁴,Thavone INTHAVONG ⁵,Phomma THAMMAVONG ⁶

Affiliation:

1. APEC Climate Center

2. Department of Civil Engineering, Jeonbuk National University

3. Korea Rural Economic Institute

4. Seoul National University

5. National Agriculture and Forestry Research Institute, Ministry of Agriculture and Forestry, Vientiane

6. Faculty of Agriculture, National University of Laos

Publisher

Society of Agricultural Meteorology of Japan

Subject

Atmospheric Science,Agronomy and Crop Science

Link

https://www.jstage.jst.go.jp/article/agrmet/77/4/77_D-21-00001/_pdf

Reference29 articles.

1. Abid M, Scheffran J, Schneider UA et al., 2015: Farmers’ perceptions of and adaptation strategies to climate change and their determinants: the case of Punjab province, Pakistan. Earth System Dynamics 6(1), 225‑243.

2. ADB, 2009: The Economics of Climate Change in Southeast Asia: A Regional Review. Asian Development Bank, Manila, Philippines.

3. Al‑Amin AQ, Masud MM, Sarkar MSK et al., 2020: Analysing the socioeconomic and motivational factors affecting the willingness to pay for climate change adaptation in Malaysia. International Journal of Disaster Risk Reduction 50, 101708.

4. Bestari NG, Shrestha S, Mongcopa CJ, 2006: LAO PDR: An Evaluation Synthesis on Rice. Asian Development Bank (ADB), p. 17. (Available at: https://www.adb.org/sites/default/files/evaluation‑document/35927/files/evaluation‑synthesis‑rice‑lao.pdf.)

5. Chun JA, Li S, Wang Q et al., 2016: Assessing rice productivity and adaptation strategies for Southeast Asia under climate change through multi‑scale crop modeling. Agricultural Systems 143, 14‑21.

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