ReportIFPRI5EPTDNon-P

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Journal articleIFPRI3; ISI; CRP2; DCA; A Ensuring Sustainable food production; C Improving markets and tradePIM; EPTDPRCGIAR Research Program on Policies, Institutions, and Markets (PIM

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The authors estimate the market impact of media coverage related to the name “swine flu,” relabeled subsequently as “2009 H1N1 flu,” on the future prices of lean hogs, live cattle, corn, and soybeans. They then quantified the revenue loss, employing the subset vector autoregressive model. The results indicate that the media coverage was associated with a significant and temporary negative impact on the futures prices of lean hogs, but with little impact on the other futures prices. The impact persisted for about four months, yielding an April–December 2009 market revenue loss of about $200 million (about 2.51 percent).

This study investigated the impact of climate change on yield, harvested area, and production of sugarcane in Thailand using spatial regression together with an instrumental variable approach to address the possible selection bias. The data were comprised of new fine-scale weather outcomes merged together with a provincial-level panel of crops that spanned all provinces in Thailand from 1989–2016. We found that in general climate variables, both mean and variability, statistically determined the yield and harvested area of sugarcane. Increased population density reduced the harvested area for non-agricultural use. Considering simultaneous changes in climate and demand of land for non-agricultural development, we reveal that the future sugarcane yield, harvested area, and production are projected to decrease by 23.95–33.26%, 1.29–2.49%, and 24.94–34.93% during 2046–2055 from the baseline, respectively. Sugarcane production is projected to have the largest drop in the eastern and lower section of the central regions. Given the role of Thailand as a global exporter of sugar and the importance of sugarcane production in Thai agriculture, the projected declines in the production could adversely affect the well-being of one million sugarcane growers and the stability of sugar price in the world market.

With the existing state of issues related to global climate change, the accuracy of farmers’ perceptions of climate is critically important if they plan to implement appropriate adaptation measures in their farming. This article evaluated if farmers perceive the trends of local climate variability accurately, and was verified by the historical meteorological data analysis. Ordered probit perception models were applied in this study to determine the factors influencing the accuracy of farmer perception. It was observed that farmers’ perceptions of the rainfall amount during the early, mid, and late monsoon periods were highly accurate, and they also accurately perceived summer temperature change, but less accuracy of perception was observed of the temperate changes of the winter and monsoon seasons. Access to weekly weather information, participation in agricultural trainings, farming experience, and education level of the farmer were the major factors determining the accuracy of perception in this study. Based on the empirical results, this study suggested policy implications for (a) the locally specified weather information distribution, and (b) integration of weather information into agricultural training programs, which are available to the farming community to enhance the government implantation of the Myanmar Climate Smart Agriculture Strategy and Myanmar Climate Change Master Plan 2018–2030.