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This book helps to solve the problem of substantial waste and inefficiency in port production by analyzing operational efficiency at more than 30 Chinese and Korean leading container ports using three types of DEA model. In addition it offers a returns-to-scale analysis, which is particularly useful for port managers or policy makers deciding on the scale of production. The results provide port managers and relevant scholars with insights into resource allocation and operating performance optimization. This book was supported by the National Science and Technology Academic Publications Fund of China in 2015.

This book is a comparative study of the critical factors in berth productivity in Chinese and South Korean container terminals. It first defines the concept of berth productivity, and then establishes a regression model to evaluate the productivity factor. With the results obtained for the leading Asian container terminals it identifies the relationship between critical factors for berth productivity and their order of importance. The findings provide guidelines for terminal operators to improve berth productivity.

Although previous studies have provided strong evidence that Chinese individuals are exposed to secondhand smoke (SHS) and lack knowledge of its harmful effects, there has not been an in-depth exploration of the variability in exposure and knowledge by geographic region, occupation, and socioeconomic status. The objectives of this study were to examine: (1) the demographic factors associated with the level of knowledge of the harmful effects of smoking; (2) the factors related to implementation of in-home and workplace smoking bans; and (3) geographic differences in being exposed to SHS in government buildings, healthcare facilities, restaurants, public transportations, and schools. We used data from the 2010 Global Adult Tobacco Survey-China. Chi-square tests were used for statistical analysis. The results suggested that among Chinese citizens age 15 years and older, there is poor knowledge of the harmful effects of tobacco, and knowledge varies with region and socioeconomic status. Over three-quarters of the households had no smoking restrictions, and a large percentage of workers reported working in places with no smoking ban. In public places, exposure to SHS was high, particularly in rural areas and in the Southwest. These results suggest Chinese individuals are not well informed of smoking and SHS associated risks and are regularly exposed to SHS at home, work and public places.

Large‐scale health surveys are major data sources for health policy research, and telephone survey is the major mode for national or state health surveys. With the dramatic increase of cell phone use over the past decade, large telephone surveys need to employ the dual‐frame design, which greatly improves the representativeness of the sample. From a practical perspective, it is not clear how to optimally implement the dual‐frame sampling design. This article studies the impact of different design and analytical strategies of dual‐frame surveys on the estimation of population quantities via both simulation studies and using data from the Ohio Family Health Survey (OFHS). Results imply that cell‐only design is less biased than the cell‐any design with no or poor post‐stratification. If accurate post‐stratification information is available for different phone use patterns, all estimation techniques provide similar results and the cell‐any supplemental sampling is more cost efficient. Practical recommendations for health policy researchers are provided based on applying different analytical methods to the OFHS data.