Sustainable innovation behavior in restaurants

Although a major contributor to environmental degradation and global climate change, most city administrators, policymakers and regulators do not hold restaurants accountable for their adverse impacts. New policies with incentives are urgently needed that leverage existing drivers of sustainable innovation. Using innovation adoption and planned behavior theories, a path analysis model is developed to evaluate the current level of sustainability in the restaurant industry and reveal the predictors of future sustainability behavioral intention. The results show that three predictors ? past experience, perceived behavioral control, and perceived innovation characteristics ? largely determine whether restaurants engage in sustainable innovation in the future.     

Two decades of XBRL: a science mapping of research trends and future research agenda

eXtensible Business Reporting Language (XBRL) is a software standard of significant importance in the current shift in financial reporting. This new standard is representative of the dramatic developments in how financial information is presented and reported. Over the past 20 years (2000–2020), we have witnessed how information systems and technology advancement have continued to shape current practices in accounting, which has resulted in an increasing trend toward Internet reporting, and thus the XBRL adoption. This study investigates the current trends and various characteristics of worldwide research on XBRL using bibliometric analysis, subsequently presenting a plausible future research direction. The Scopus database was searched for articles indexed under the terms “XBRL*” or “Digital Financial Reporting*” or “Internet Financial Reporting*” or “Web financial reporting*”, which yielded a total of 661 documents from the years 2000–2020. We analysed a total of 621 documents as our final sample after excluding those not related to the interest of the study. Our analysis discovered six (6) main research clusters related to XBRL, which are financial reporting, development of XBRL, decision making, XBRL adoption, corporate governance and disclosure, and financial analytics. We also proposed a future research direction within XBRL-related research.

     

A two-step approach to account for unobserved spatial heterogeneity

A two-step approach to account for unobserved spatial heterogeneity. Spatial Economic Analysis. Empirical analysis in economics often faces the difficulty that the data are correlated and heterogeneous in some unknown form. Spatial econometric models have been widely used to account for dependence structures, but the problem of directly dealing with unobserved spatial heterogeneity has been largely unexplored. The problem can be serious particularly if we have no prior information justified by economic theory. In this paper we propose a two-step procedure to identify endogenously spatial regimes in the first step and to account for spatial dependence in the second step. This procedure is applied to hedonic house price analysis.     

Complexities of Productivity Policies in the Finnish Public Sector: Knowing How to Do More with Less?

This paper examines public sector productivity policies as complexities between what is ‘known’ in policy principles and what is ‘done’ in everyday policy practice. Such complexities are explored in two productivity policy cases within Finnish local government: municipal amalgamations, and the low‐threshold concept of healthcare service. Utilising quantitative and qualitative data from Finnish local government the paper demonstrates the tensions between productivity policy principles, interpretations for productivity improvement (‘knowing’) and final outcomes for actually applying (‘doing’) productivity policy. The paper argues in favour of a new understanding for the research and practice of public policy and management.     

Robust portfolio estimation under skew-normal return processes

In this paper, we study issues related to the optimal portfolio estimators and the local asymptotic normality (LAN) of the return process under the assumption that the return process has an infinite moving average (MA) (∞) representation with skew-normal innovations. The paper consists of two parts. In the first part, we discuss the influence of the skewness parameter δ of the skew-normal distribution on the optimal portfolio estimators. Based on the asymptotic distribution of the portfolio estimator ? for a non-Gaussian dependent return process, we evaluate the influence of δ on the asymptotic variance V(δ) of ?. We also investigate the robustness of the estimators of a standard optimal portfolio via numerical computations. In the second part of the paper, we assume that the MA coefficients and the mean vector of the return process depend on a lower-dimensional set of parameters. Based on this assumption, we discuss the LAN property of the return's distribution when the innovations follow a skew-normal law. The influence of δ on the central sequence of LAN is evaluated both theoretically and numerically.     

Asset price bubbles: a survey

Why do asset price bubbles continue to appear in various markets? What types of events give rise to bubbles and why do arbitrage forces fail to quickly burst them? Do bubbles have real economic consequences and should policy makers do more to prevent them? This paper provides an overview of recent literature on bubbles, with significant attention given to behavioral models and rational models with frictions. The latest U.S. real estate bubble is described in the context of this literature.     

Cost-effectiveness of aripiprazole once-monthly compared with paliperidone palmitate once-monthly injectable for the treatment of schizophrenia in the United States

Objective:

To develop a decision-analytic model to estimate the cost-effectiveness of initiating maintenance treatment with aripiprazole once-monthly (AOM) vs paliperidone long-acting injectable (PLAI) once-monthly among patients with schizophrenia in the US.

Methods:

A decision-analytic model was developed to evaluate a hypothetical cohort of patients initiating maintenance treatment with AOM or PLAI. Rates of relapse, adverse events (AEs), and direct medical costs were estimated for 1 year. Patients either remained on initial treatment or discontinued treatment due to lack of efficacy, AEs, or other reasons, including non-adherence. Data from placebo-controlled pivotal trials and product prescribing information (PI) were used to estimate treatment efficacy and AEs. Analyses were performed assuming dosing of clinical trials, real-world practice, PIs, and highest therapeutic dose available, because of variation in practice settings. The main outcome of interest was incremental cost per schizophrenia hospitalization averted with AOM vs PLAI.

Results:

Based on placebo-controlled pivotal trials’ dosing, AOM improved clinical outcomes by reducing schizophrenia relapses vs PLAI (0.181 vs 0.277 per person per year [pppy]) at an additional cost of US$1276 pppy, resulting in an incremental cost-effectiveness ratio (ICER) of US$13,280/relapse averted. When PI dosing was assumed, this ICER increased to US$19,968/relapse averted. When real-world dosing and highest available dosing were assumed, AOM was associated with fewer relapses and lower overall treatment costs vs PLAI.

Conclusions:

AOM consistently provided favorable clinical benefits. Under various dosing scenarios, AOM results indicated fewer relapses at lower overall costs or a reasonable cost-effectiveness threshold (i.e., less than the cost of a hospitalization relapse) vs PLAI. Given the heterogeneous nature of schizophrenia and variability in treatment response, health plans may consider open access for treatments like AOM. Since model inputs were based on data from separate placebo-controlled trials, generalization of results to the real-world setting is limited.     

Outrunning the gender gap—boys and girls compete equally

Recent studies find that women are less competitive than men. This gender difference in competitiveness has been suggested as one possible explanation for why men occupy the majority of top positions in many sectors. In this study we explore competitiveness in children, with the premise that both context and gendered stereotypes regarding the task at hand may influence competitive behavior. A related field experiment on Israeli children shows that only boys react to competition by running faster when competing in a race. We here test if there is a gender gap in running among 7–10 year old Swedish children. We also introduce two female sports, skipping rope and dancing, to see if competitiveness is task dependent. We find no gender difference in reaction to competition in any task; boys and girls compete equally. Studies in different environments with different types of tasks are thus important in order to make generalizable claims about gender differences in competitiveness.