Preventives Versus Treatments Redux: Tighter Bounds on Distortions in Innovation Incentives with an Application to the Global Demand for HIV Pharmaceuticals

Kremer and Snyder (Q J Econ 130:1167–1239, 2015) show that demand curves for a preventive and treatment may have different shapes though they target the same disease, biasing the pharmaceutical manufacturer toward developing the lucrative rather than the socially desirable product. This paper tightens the theoretical bounds on the potential deadweight loss from such biases. Using a calibration of the global demand for HIV pharmaceuticals, we demonstrate the dramatically sharper analysis achievable with the new bounds, allowing us to pinpoint potential deadweight loss at 62% of the global gain from curing HIV. We use the calibration to perform policy counterfactuals, assessing welfare effects of government policies such as a subsidy, reference pricing, and price-discrimination ban. The fit of our calibration is good: we find that a hypothetical drug monopolist would price an HIV drug so high that only 4% of the infected population worldwide would purchase, matching actual drug prices and quantities in the early 2000s before subsidies in low-income countries ramped up.     

Interval-Valued Intuitionistic Fuzzy WASPAS Method: Application in Reservoir Flood Control Management Policy

Interval-valued intuitionistic fuzzy sets (IVIFSs) are very flexible tool to cope with the uncertainty arises in multi-criteria decision making (MCDM) problems. In recent times, MCDM problems with interval-valued intuitionistic fuzzy information have achieved more attention from researchers in different areas and consequently, several MCDM methods have been extended for IVIFSs. In this paper, a novel approach based on WASPAS method is developed under IVIFSs. The developed method is based on the operators of IVIFSs, some amendments in the classical WASPAS method and a new process for calculation of criteria and decision experts’ weights. In process for calculating weights, new procedures is propoesd to compute the decision experts’ weights and criteria weights based on interval-valued intuitionistic fuzzy information measures (entropy, divergence and similarity measures) to achieve more realistic weights. Innovative information measures are developed based on the exponential function for IVIFSs to determine the weights of the criteria and decision experts. Since the uncertainty is an unavoidable feature of MCDM problems, the developed method can be a constructive tool for decision-making in an uncertain environment. Further, an uncertain decision making problem of reservoir flood control management policy is implemented with interval-valued intuitionistic fuzzy information, which reveals the effectiveness and reliability of the proposed IVIF-WASPAS method. To validate the result, comparative analysis with existing methods and sensitivity analysis are presented under interval-valued intuitionistic fuzzy environment.     

Under the AEGIS of knowledge-intensive entrepreneurship: employment growth and gender of founders among European firms

An increasing number of theoretical and empirical analyses address the role of innovation as one of the main sources of firm growth. More recently, studies have looked at the role of gender diversity as a possible determinant of innovation and entrepreneurial performance. However, the relationship between gender and employment growth—a dimension of entrepreneurial performance—still remains unexplored to a large degree. This paper contributes to the empirical literature on gender and entrepreneurial performance in several ways. First, it examines the role played by both innovation and gender ownership as determinants of employment growth rates of young, knowledge-intensive entrepreneurial (KIE) firms. Second, it investigates the indirect impact of contributing factors—such as the characteristics of the market, knowledge-based capital, and human capital—on employment growth. And third, it relies on a rich new cross-sectional data set on young, KIE firms across European Union (EU) countries. The data set contains information not only on the gender of the firm’s founders but also on the market environment, business strategy, and innovative and economic performance of firms.     

Tracing design students’ affective journeys through reflective writing

Affection in learning embraces emotions, attitudes, values and beliefs that emerge during the learning process, and it is a vital and hidden element of learning. Studies focusing on affective, or emotional, aspects of design learning in the context of design education underscore the significance of the affective process and inform us of the connection between the creative dimension and emotions during a design activity. To this point, this paper addresses the following research question: to what extent does reflective writing disclose design students’ affective journeys throughout a semester? An empirical study is conducted to observe first-year industrial design students’ affective processes during a semester using their structured reflective diaries. The longitudinal study results show that the students exhibit certain tendencies in terms of the affective processes throughout a semester. The findings of this study are discussed in reference to peak points, anomalies and tendencies of the affective processes observed based on excerpts from the diaries. It is concluded that affective responses in design learning are multidimensional and wide-ranging.     

Towards an operations strategy model of servitization: the role of sustainability pressure

Servitization requires an important strategic shift to drive changes in the operations of manufacturing firms. Using a large-scale survey, the purpose of this paper is (1) to build and validate an operations strategy model of servitization confirming previous case study findings on servitization as a strategic action and (2) to explore the role of sustainability pressures in, and the sustainability performance effects of, pursuing service-based operations strategies. To reach these objectives, a dataset including the responses of 735 manufacturing plants from 21 different countries is analyzed using the PLS-SEM method. The results indicate that the sustainability pressures of stakeholders can push manufacturers to adopt a service-based operations strategy, materializing in the provision of both basic (product-oriented) and advanced (customer-oriented) services (BAS and ADS). Our analysis further indicates that while offering BAS is a precondition for ADS provision, only ADS can offer a competitive edge for manufacturers, both in terms of service and sustainability-related operational performance.     

Line by line,part by part: collaborative sketching for designing

While sketching has an established role in professional design, its benefits and role in design education are subjects that invite research and opinions. We investigated how undergraduates studying to become design educators and textile teachers used sketching to generate and develop design solutions in a collaborative setting. The students were given an authentic design assignment involving three detailed tasks, one of which was 2D visualisation by sketching. Adopting a micro-analytical approach, we analysed the video-recorded visualisation session to understand how teams used sketching to collaborate and to generate and develop design solutions. To that end, we set three research questions: (1) What ways of collaborative working are reflected in actions of sketching? (2) In what ways do sequences of collaborative sketching contribute to designing? (3) What kinds of collaborative sequences of sketching advance designing? Our analysis identified three collaborative ways of sketching (co-ordinated, collective and disclosed) and confirmed that sketching is an important facilitator of mutual appropriation, adaption and adoption. Next, we identified three ways of contributing to designing, as well as three functions and six capacities for advancing designing. Our analysis shows that sketching can lead to invaluable advances in designing, although each team had its own way of using and benefiting from sketching. We further consider that the teams’ diverse sketching processes and rich content owed, at least in part, to the task structure and imposed constraints. We continue to see sketching as an important design tool, one among many.     

Intraday price information flows between the CSI300 and futures market: an application of wavelet analysis

This study investigates linear and nonlinear price information flows between the Chinese Stock Index 300 (CSI300) and futures market using high-frequency data and their wavelet transformed series for three regimes for which stock short-selling restrictions in China are different. Empirical results generally indicate information feedback between these two markets regardless of assumptions of linear and nonlinear causality and regimes for original series and wavelet transformed data at different scales.     

Inference for the two-parameter bathtub-shaped distribution based on record data

Here we consider the record data from the two-parameter of bathtub-shaped distribution. First, we develop simplified forms for the single moments, variances and covariance of records. These distributional properties are quite useful in obtaining the best linear unbiased estimators of the location and scale parameters which can be included in the model. The estimation of the unknown shape parameters and prediction of the future unobserved records based on some observed ones are discussed. Frequentist and Bayesian analyses are adopted for conducting the estimation and prediction problems. The likelihood method, moment based method, bootstrap methods as well as the Bayesian sampling techniques are applied for the inference problems. The point predictors and credible intervals of future record values based on an informative set of records can be developed. Monte Carlo simulations are performed to compare the so developed methods and one real data set is analyzed for illustrative purposes.     

Explaining the slow U.S. recovery: 2010–2017

This paper argues that the slow U.S. recovery after the 2008–2009 recession was due to sluggish government spending. The analysis uses a structural macroeconometric model. Conditional on government policy, the errors in predicting output for the 2009.4–2017.4 period are within what one would expect historically. Productivity and labor force participation are endogenous variables in the model, and so their behaviors in this period are a consequence of the slow growth rather than a cause.