Evaluation Review最新文献

California Proposition 56 increased the state tobacco tax by $2 per cigarette pack effective April 1, 2017. Between 2015-2020 San Francisco (SF) and some cities in Alameda County enacted local flavored tobacco sales restrictions. SF also increased its Cigarette Litter Abatement Fee, from $0.20/pack in 2015 to $1.00 in 2020. Compare the change in tobacco prices before (2015) and after (2019/20) the implementation of a $2 increase in tobacco excise tax and local flavored tobacco policies in SF and Alameda Counties. Descriptive study of the pre-to-post policy analysis design. We drew a proportional random sample of retailers (N=463) in SF and Alameda Counties, by city. Using multivariable, single- and multiple-level linear regressions, we compared inflation-adjusted average tobacco prices in 2015 vs. 2019/20 by county and by flavor policy, accounting for socio-demographics. Change in inflation-adjusted average tobacco prices in 2015 vs. 2019/20 by county and flavor policy, accounting for socio-demographics. Between 2015-2019/20, the increase in cigarette prices was higher than the $2 tax increase, and higher in SF than Alameda County (+$4.6 vs +$2.5). SF retailers stopped selling Newport menthol cigarettes and Blu brand menthol e-cigarettes in 2019/20. Adjusted average cigarette prices increased significantly more in SF and Alameda County cities with comprehensive or partial flavor policies versus cities without flavor policies (by $3.23 and $2.11). Local flavor policies affected menthol product availability and may have had positive spillover effects and indirectly increased pack prices.

The last two decades have seen a dramatic increase in randomized controlled trials (RCTs) conducted in community colleges. Yet, there is limited empirical information on the design parameters necessary to plan the sample size for RCTs in this context. For a blocked student-level random assignment research design, key design parameters for the minimum detectable true effect (MDTE) are the within-block outcome standard deviation $\left({\sigma }_{|S}\right)$ and the within-block outcome variance explained by baseline covariates like student characteristics $\left(R_{|S}^2\right)$. We provide empirical estimates of these key design parameters, discussing the pattern of estimates across outcomes (enrollment, credits earned, credential attainment, and grade point average), semesters, and studies. The main analyses use student-level data from 8 to 14 RCTs including 5,649-7,099 students (depending on the outcome) with follow-up data for 3 years. The following patterns are observed: the within-block standard deviation $\left({\sigma }_{|S}\right)$ and therefore the MDTE can be much larger in later semesters for enrollment outcomes and cumulative credits earned; there is substantial variation across studies in ${\sigma }_{|S}$ for degree attainment; and baseline covariates explain less than 10% of the variation in student outcomes. These findings indicate that when planning the sample size for a study, researchers should be mindful of the follow-up period, use a range of values to calculate the MDTE for outcomes that vary across studies, and assume a value of $R_{|S}^2$ between 0 and 0.05. A public database created for this paper includes parameter estimates for additional RCTs and students.

The proposed carbon peak and carbon neutralization goals have ushered China into an era of emissions reduction and a climate-oriented economy. With the proposed double carbon goal, China has formulated many environmental protection and green credit policies. This paper aims to assess the impact of corporate environmental performance (CEP) on financing costs, using a panel dataset of companies in China's heavily polluting industries from 2010 to 2019. We employed fixed-effect models, moderating-effect models, and panel quantile regression (PQR) to analyze the impact, underlying mechanisms, and asymmetric features of CEP on financing costs. Our results indicate that CEP has an inhibitory effect on financing costs, with political connections strengthening this effect and GEA weakening it. Moreover, the impact exhibits asymmetry at different levels of financing costs, wherein lower financing costs see a greater weakening effect from CEP. Improved CEP helps to optimize the financing performance of companies and reduce financing costs. Therefore, policy makers and regulatory authorities should work to unblock financing channels for companies, encourage environmental investment, and remain flexible in implementing environmental policies.

Previous studies have applied interview-oriented self-reported or peer-centered evaluation methods, rather than an objective and quantitative method, to evaluate outcome of a postgraduate capacity-building program and have mainly focused on the cognitive level. To investigate the feasibility of the objective structured clinical examination (OSCE) in an international setting and report the results of the outcome evaluation for the behavioral aspect. A case-control study. Ninety examinees divided into 2 case-control groups: 17 program-experienced doctors and 17 control doctors in the first group, and 28 mentees of the program-experienced doctors and 28 control doctors in the second group. A six-station OSCE was implemented. The OSCE scores were measured to evaluate (1) the direct educational effect regarding learning in the first group and (2) the indirect educational effects regarding transfer in the second group. Written questionnaire and interview data were collected for qualitative analysis. The quantitative results of the overall or subcomponent OSCE scores indicated no significant differences in the comparisons of the first and second case-control groups. The qualitative data indicated that the program improved participants' medical knowledge, skills, and self-confidence, however, it also revealed limited learning environment provided by the program. This transnational study has demonstrated the process for introducing and successfully completing the testing of an OSCE in Laos. Discrepancy in the goals of the OSCE and the education program limited the usefulness of OSCE as an assessment tool, leading to the lack of significant differences in its results.

The COVID-19 outbreak and the global uncertainty it causes produce an apparent panic in stock markets. Efforts to explain the economic spillover effects of COVID-19 can guide authorities to design a control policy against the financial impacts of pandemics. The paper examines the effects of the COVID-19 cases on the stock markets in the emerging Latin American countries of Argentina, Brazil, Chile, Colombia, Mexico, and Peru. The paper employs a continuous partial wavelet methodology to observe lead-lag relations between the daily variables of new COVID-19 cases and the stock market index for each Latin American country. Brazilian new COVID-19 cases led the Bovespa (BVSP) index to decline during the whole period, except February and June 2020, at one month-two month-frequency band. The wavelet and phase difference analyses indicate that, except for Brazil, COVID-19 cases did not affect the stock market indexes adversely during the whole sample period but did affect the stock exchange markets negatively during some sub-sample periods of the entire sample of each country. Dynamics of Latin American stock exchange markets in the short and long run can be explained by some other parameters of real and financial sectors and COVID-19 cases.

The Making Pre-K Count and High 5s studies represent a recent application of a phased two-stage, multi-level design, which was used to examine the effects of two aligned math programs implemented in early childhood settings. The purpose of this paper is to describe the challenges encountered in implementing this two-stage design and to describe approaches to resolving them. We then present a set of sensitivity analyses the study team used to examine the robustness of the findings. During the pre-K year, pre-K centers were randomly assigned either to receive an evidence-based early math curriculum and associated professional development (Making Pre-K Count) or to a pre-K-as-usual control condition. In the kindergarten year, students who had been in Making Pre-K Count program classrooms in pre-K were then individually randomly assigned within schools to small-group supplemental math clubs that were designed to sustain the gains from the pre-K program, or to a business-as-usual kindergarten experience. Making Pre-K Count took place in 69 pre-K sites, comprising 173 classrooms across New York City. High 5s took place in the 24 sites that were part of the public school treatment arm of the Making Pre-K Count study and included 613 students. The study focuses on the effect of the Making Pre-K Count and High 5s programs on children's math skills at the end of kindergarten as measured by two instruments, the Research-Based Early Math Assessment-Kindergarten (REMA-K) and the Woodcock-Johnson Applied Problems test. The multi-armed design, while logistically and analytically challenging, balanced multiple considerations of power, the number of research questions that could be answered, and efficiency of resources. Robustness checks suggest that the design created groups that were both meaningfully and statistically equivalent. Decisions to use a phased multi-armed design should consider both its strengths and weaknesses. While the design allows for a more flexible, expansive research study, it also introduces complexities that need to be addressed both logistically and analytically.

At the present time, information and communication technology (ICT) has played a vital role in socio-economic development such as economic growth, literacy, life expectancy, and employment levels in societies, however, such development has come with various environmental damages perspectives. This study scrutinizes the impact of ICT, economic growth, and foreign direct investment (FDI) on carbon dioxide (CO₂) emissions in the 44 One Belt and Road Initiative (OBRI) countries split into sub-region from 1991 to 2019. This study applied various econometrics approaches such as cross-sectional dependence, second-generation unit root, and Westerlund panel cointegration techniques are executed to analyze the panel data set. The full modified ordinary lease square and dynamic ordinary lease square estimators are applied to investigate the long-term influence of ICT development, GDP (economic growth), and FDI on CO₂ emissions. The empirical analysis was performed at a disaggregated level to assess the possible environmental influences across the OBRI countries. Overall, the results reported that broadband and mobile development have an adverse effect on CO₂ emissions. The finding further reveals that the broadband indicator negatively affects CO₂ emissions in all OBRI regions except South Asia. Similarly, the mobile use indicator protects the environmental quality in all OBRI regions except MENA (Middle East and North Africa) and Central Asia. Regarding country-wise analysis, broadband has alleviated the pollution level in 21 countries, while mobile has alleviated it in 15 countries. Moreover, economic growth is responsible to increase pollution levels in all panels and regions except Europe. Besides, the results highlight that higher FDI reduces environmental pollution whereby, the pollution halo hypothesis is supported to hold for all OBRI panels and regions except MENA countries. Based on the empirical findings, the policymakers and governments of these economies should design policies to grow smarter cities, transportation systems, electrical grids, industrial processes, and energy-saving production through ICT development on a macro level.

To assess the elements necessary to be a successful learning community (ClinCalc) mentor to medical students from the mentee's perspective. Few such studies have utilized the in-depth and richness of detail obtained in qualitative studies. This qualitative study analyzed four focus group discussions lasting 45-90 min conducted at the University of Texas Southwestern Medical School, which has an established LC, in the year 2018. The groups included 14 pre-clerkship and 8 clerkship students. Investigators evaluated transcriptions of the focus group discussions using ATLAS.ti software. Three overarching categories of discussion emerged from the group discussions: (1) Relationship Competence, (2) Teaching Competence, and (3) Ethical and Compassionate Medical Practice Competence. Relationship Competence themes included "walk with me," relationship is most important, and one-on-one. Teaching Competence themes included above and beyond, recognize and address mentor limitations, and safe and enriching environment. Ethical and Compassionate Medical Practice Competence themes included ethical decision making and compassionate care for diverse patient populations. Mentees focused on various aspects of the mentor-mentee relationship as the single most essential competence. Themes mentees discussed as important qualities of a successful mentor may denote qualities to be prioritized in faculty development and mentor recruitment. Future studies could investigate how the LC environment informs former medical students and promotes patient outcomes.

Tourism is one of the important factors that can affect the environmental and economic situation of any economy. This study investigates the relationship between tourist arrivals and CO2 emission in the top 20 tourist destinations using data from quarterly observations from 1995 to 2018. A unique technique via quantile-on-quantile regression and Granger causality in quantiles was used. In particular, how the quantiles of tourist arrivals impact quantiles of CO2 emission was analyzed. The empirical results suggest a combination of both positive and negative effects of tourist arrivals and CO2 emission in most tourist destinations. Predominantly, at both high and low tails, in the USA, Spain, Hong Kong, and Austria, tourist arrival has a positive effect on CO2 emission, whereas in the case of Canada, France, Germany, Mexico, and Malaysia, the association was negative. On the other hand, China, Greece, Russia, Japan, Italy, South Korea, Thailand, and Turkey have both positive and negative effects of tourism on CO2 emissions at low and high tails. Tourism can be an important factor while formulating policy for environmental and climate aspects.