Local restrictions, population movement, and spillovers during the pandemic: Evidence from Japan's restaurant restriction.

We investigate how a local restaurant restriction aimed at containing the COVID-19 pandemic influenced population movement and COVID-19 prevalence within and outside the restricted districts. Using data on restaurant location and hourly population at the 500-m-mesh level and on COVID-19 prevalence at both prefecture and municipality level in Japan, we employ a triple-difference approach and a difference-in-differences approach with fixed effects. While the policy decreased population movement to restaurant areas in the restricted districts, it caused spillovers of increasing population movement to restaurant areas in the neighboring nonrestricted districts. Consequently, COVID-19 prevalence worsened in the neighboring nonrestricted districts but improved in the restricted districts. Our findings suggest that imposing such local restrictions in the context of the pandemic may contain the pandemic only in the restricted districts while sacrificing economic activities within these districts and public health in neighboring nonrestricted districts.

Partial Smoking Ban and Secondhand Smoke Exposure in Japan.

Implementing smoking bans is a worldwide common practice for tobacco control. However, if the policy prohibits smoking partially rather than comprehensively, it may increase nonsmokers' exposure to secondhand smoke (SHS) in nonprohibited places. This paper investigates how a partial smoking ban affected nonsmokers' SHS exposure (measured by frequency of having exposure to SHS in days per month) in households, workplaces, and restaurants by examining the case of a partial smoking ban introduced in a large Japanese prefecture in 2013. Using data from the National Health and Nutrition Survey (NHNS) in 2010, 2013, and 2016 (n = 30,244) and the Comprehensive Survey of Living Conditions (CSLC) from 2001 to 2016 (n = 2,366,896), this paper employs a difference-in-differences (DID) approach. We found that the partial smoking ban significantly increased their SHS exposure in households and workplaces by 2.64 days and 4.70 days per month, respectively, while it did not change nonsmokers' SHS exposure in restaurants. The results imply that the smoking ban displaced smokers from public places to private places. We also found that neither smokers' smoking status nor smoking intensity changed significantly after implementing the partial smoking ban. Comprehensive smoking bans are needed to better protect nonsmokers from SHS exposure.

Understanding the differences in obesity among working adults between Taiwan and China.

OBJECTIVE: To investigate the difference in the prevalence of obesity and the associations between the risk of obesity and socioeconomic factors with regard to working adults in China and Taiwan. DATA: The 2000 China Health and Nutrition Survey and the 2001 National Health Interview Survey in Taiwan, which contains information from 20-60-year-old working adults in China (3,067 men and 2,998 women) and Taiwan (6,475 men and 6,341 women). METHOD: Variables were converted to cross-economy comparable forms, and the estimated prevalence of obesity across socioeconomic groups was compared between China and Taiwan. Probit models were used to examine the associations between socioeconomic factors and the probability of being obese. RESULTS: In China, the prevalence of obesity was higher in the higher income, more educated, and more sedentary occupation groups, while it was higher in the lower income and less educated groups in Taiwan. Also, our results indicate that occupational types rather than income and education levels are more significantly associated with the probability of being obese in China, whereas income and education levels rather than occupational types are more significantly associated with the probability of being obese in Taiwan. These findings may indicate that, when an economy becomes more developed, the association between obesity risk and income and education levels becomes more significant and negative especially among women, while the association between obesity risk and occupational types decreases especially among men.