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Abstract
We study the consequences of alphabetical author order in economics for job placements of economists, based on a context that enables a clean identification. Results using two different data sets both show that, relative to Chinese physicists and statisticians, Chinese economists with surname initials located later in the alphabet tend not to stay in the US and are more likely to work in China. Such effects of surname initials on job placements are clearly identified and represent a result of alphabetical author order, because in Chinese culture, names are seldom listed alphabetically in contexts other than joint publications in international economics journals.

OBJECTIVES: Better understanding of the dynamics of the COVID-19 (2019 novel coronavirus disease) pandemic to curb its spread is now a global imperative. While travel restrictions and control measures have been shown to limit the spread of the disease, the effectiveness of the enforcement of those measures should depend on the strength of the government. Whether, and how, the government plays a role in fighting the disease, however, has not been investigated. Here, we show that government management capacities are critical to the containment of the disease. SETTING: We conducted a statistical analysis based on cross-city comparisons within China. China has undergone almost the entire cycle of the anticoronavirus campaign, which allows us to trace the full dynamics of the outbreak, with homogeneity in standards for statistics recording. PRIMARY AND SECONDARY OUTCOME MEASURES: Outcome measures include city-specific COVID-19 case incidence and recoveries in China. RESULTS: The containment of COVID-19 depends on the effectiveness of the enforcement of control measures, which in turn depends on the local government's management capacities. Specifically, government efficiency, capacity for law enforcement, and the transparency of laws and policies significantly reduce COVID-19 prevalence and increase the likelihood of recoveries. The organisation size of the government, which is not closely related to its capacity for management, has a limited role.

Objectives: Better understanding of the dynamics of the COVID-19 (2019 novel coronavirus disease) pandemic to curb its spread is now a global imperative. While travel restrictions and control measures have been shown to limit the spread of the disease, the effectiveness of the enforcement of those measures should depend on the strength of the government. Whether, and how, the government plays a role in fighting the disease, however, has not been investigated. Here, we show that government management capacities are critical to the containment of the disease. Setting: We conducted a statistical analysis based on cross-city comparisons within China. China has undergone almost the entire cycle of the anticoronavirus campaign, which allows us to trace the full dynamics of the outbreak, with homogeneity in standards for statistics recording. Primary and secondary outcome measures: Outcome measures include city-specific COVID-19 case incidence and recoveries in China. Results: The containment of COVID-19 depends on the effectiveness of the enforcement of control measures, which in turn depends on the local government's management capacities. Specifically, government efficiency, capacity for law enforcement, and the transparency of laws and policies significantly reduce COVID-19 prevalence and increase the likelihood of recoveries. The organisation size of the government, which is not closely related to its capacity for management, has a limited role.