Le Phuong Nam Viet Nam National University of Agriculture (VNUA), Ha Noi, Viet Nam
Email: lephuongnam87@gmail.com
Nguyen Dang Que* National Academy of Public Administration (NAPA). Ha Noi, Viet Nam
Email: dangquenapa@gmail.com
Nguyen Van Song Viet Nam National University of Agriculture (VNUA), Ha Noi, Viet Nam
Email: nguyensonghua@gmail.com
Tran Thi Hoang Mai Vinh University (VU), Vinh City, Vietnam
Email: hoangmaikkt@gmail.com
Nguyen Thi Minh Phuong Vinh University (VU), Vinh City, Vietnam
Email: minhphuongn78@yahoo.com
Nguyen Thi Xuan Huong Viet Nam National University of Forestry (VNUF), Ha Noi, Viet Nam
Email: xuanhuongfuv@gmail.com
Nguyen Cong Tiep Viet Nam National University of Agriculture (VNUA), Ha Noi, Viet Nam
Email: nctiep@vnua.edu.vn
Tran Ba Uan Dien Bien Technical Economic College, Dien Bien, Vietnam
Email: bauandb@gmail.com

Abstract:

The study used Mann Kendall's and Sen's slope tests to elicit rice farmers' perceptions of climate change due to extreme weather occurrences and compared them to hydro-meteorological data. According to the findings, temperatures increased by 0.4 degrees during the last 35 years. While rainfall has increased, the pattern has been difficult to discern. The test results corroborated farmers' perceptions of increased heat spells, but rainfall frequency and intensity vary and are difficult to anticipate. Three adaptation strategies are frequently employed in the Nong Cong district: adjusting the seasonal calendar to alter transplanting and harvesting timing; increasing fertiliser and pesticide application; and changing variety to short-time kinds. Due to the interdependence of adaption techniques, the study used a multivariate probit model. The regression findings indicated that several relevant variables influence the decision to apply adaption methods. Numerous policy ideas for enhancing adaptation to climate change can be derived from the results of this study. District governments must improve their capacity to forecast weekly weather and train how to adapt production to climate change.

Keywords:Adaptation climate change measures, multivariate probit model, farmers’ perceptio.