@article{wang_rejesus_tack_balagtas_nelson_2022, title={Quantifying the Yield Sensitivity of Modern Rice Varieties to Warming Temperatures: Evidence from the PhilippinesJEL codes}, volume={104}, ISSN={["1467-8276"]}, DOI={10.1111/ajae.12210}, abstractNote={This study examines the relationship between yields of modern rice varieties and warming temperatures. Data from a long-running farm-level survey in the Philippines, with rich information on planted rice varieties, allow us to estimate fixed effect econometric models of rice yields. We find that increases in temperature, especially minimum temperatures, have statistically significant negative impacts on rice yields. Point estimates of the marginal effect of higher temperatures on rice yields indicate that early modern varieties bred primarily for higher yields, pest resistance, and/or grain quality traits (i.e., not necessarily abiotic stress tolerance) tend to be more resilient to heat events than traditional rice varieties. Moreover, the marginal effect point estimates also suggest that more recent rice varieties bred for better tolerance to abiotic stresses are likely more resilient to warming than both traditional varieties and early modern varieties. Notwithstanding the heat resilience pattern suggested by these point estimates, we are unable to find statistically significant differences in the marginal yield response to warming across these three rice varietal groups. These results provide suggestive evidence that rice breeding efforts have improved resilience to warming temperatures and point to several interesting future research directions.}, number={1}, journal={AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS}, author={Wang, Ruixue and Rejesus, Roderick M. and Tack, Jesse B. and Balagtas, Joseph V. and Nelson, Andy D.}, year={2022}, month={Jan}, pages={318–339} }
 @article{dai_wang_2020, title={Space-Time Surveillance of Negative Emotions after Consecutive Terrorist Attacks in London}, volume={17}, ISSN={["1660-4601"]}, DOI={10.3390/ijerph17114000}, abstractNote={Terrorist attacks pose significant threats to mental health. There is dearth information about the impact of consecutive terrorist attacks on space-time concentrations of emotional reactions. This study collected (1) Twitter data following the two terrorist attacks in London in March and June of 2017, respectively, and (2) deprivation data at small areal levels in the United Kingdom. The space-time permutation model was used to detect the significant clusters of negative emotions, including fear, sadness, and anger in tweets. Logistic regression models were used to examine the social deprivation of communities associated with negative tweeting. The results reported two significant clusters after the March attack, one was in London, ten days after the attack, and the other was far from the attack site between Manchester and Birmingham, three days after the attack. Attention to the reoccurring attack in June diminished quickly. The socially deprived communities experienced double disadvantage—sending fewer tweets but expressing more negative emotions than their counterparts. The findings suggest that terrorism can affect public emotions far and broad. There is a potential for surveillance to rapidly identify geographically concentrated emotions after consecutive or prolonged disasters using social media data.}, number={11}, journal={INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH}, author={Dai, Dajun and Wang, Ruixue}, year={2020}, month={Jun} }