Impact of nontariff measures on firms in Tunisia

This paper analyzes the effect of nontariff measures (NTMs) on firms in Tunisia. It draws a precise picture of NTMs’ effects on firms’ imports. We use firm‐level data to take into account firm heterogeneity. We explore the impact of NTMs on small vs. medium and large firms. We also consider the differentiated impact of NTMs. Some measures have informational content and help reduce information asymmetries. When the endogeneity issue of NTMs is controlled for, results show an overall positive impact of NTMs on imports. They provide evidence that NTMs are more beneficial to the imports of medium and large firms. Moreover, NTMs with informational content have an import enhancing effect. An extended analysis separating importing and exporting firms from those solely importing suggests that both types of firms benefit from the positive effects of NTMs. This result highlights the need to assist small firms facing NTMs. Furthermore, some NTMs with informational content should be addressed carefully and not considered only as barriers to trade to be eliminated. Instead, harmonization efforts between countries can be a better policy.     

Building,coding and programming 3D models via a visual programming environment

This paper presents the findings of a study conducted in the state-funded Infant, Primary and Secondary School Santísima Trinidad in Salamanca. The main objectives of the research were, to evaluate the use of the visual programming environment, Lego Education WeDo, in natural science and to know the benefits of the use of this tool to teach abstract concepts, solve problems and motivate students. In order to achieve these objectives, we used the case study method since we focused on individuals who represented the phenomenon of our interest, and explored and investigated in depth the phenomenon in its natural context bounded by time and space. In the research were involved a teacher and fifty-two students of 4th grade of primary education. The study found that the project developed was effective to help students to achieve the learning objectives of the unit, and also to begin building, coding and programming 3D models. The research showed the teacher’ fundamental role as a guide and students’ active role as builders, programmers, or presenters. There were evidences of the possibilities offered to acquire the skills of critical thinking, creative thinking, problem solving, reflection, collaboration, communication, and time management. Due to the positive results obtained in this study, it is recommended to incorporate computational thinking in primary education and in core content areas since it is fundamental in the current society.     

The art of crafting a systematic literature review in entrepreneurship research

Systematic literature reviews are an increasingly used review methodology to synthesize the existing body of literature in a field. However, editors complain about a high number of desk rejections because of a lack in quality. Poorly developed review articles are not published because of a perceived lack of contribution to the field. Our article supports authors of standalone papers and graduate students in the Entrepreneurship domain to write contribution-focused systematic reviews e.g. by providing a concrete guideline. Our article analyzes the strengths and weaknesses of a systematic literature review and how they can be overcome. Furthermore, we provide a combined list of highly ranked journals in the Entrepreneurship domain as a basis for quality appraisal. Finally, this article builds a scenario for the future of the systematic literature review methodology and shows how technological improvements have changed this methodology and what can be achieved in the future.

     

The operation and management of agency workers in conditions of vulnerability

This article focuses on the operation and management of agency labour by employers and observes that there are strong contradictions between the employers' stated reasons for using agency labour and the employment agencies' perceptions of why such labour is utilised. While discussing agency labour generally, the article also takes account of the position of migrant workers within the agency sector, since agencies have represented a significant route into employment for migrant labour. It draws primarily on 22 in‐depth interviews with employers and employment agencies mainly in the food processing, cleaning and care sectors. The research revealed that while some employers were using agency staff to cover for specific peaks in production, others had used it as an alternative method of dealing with vacancies that otherwise might have resulted in permanent employment.     

Do accruals exacerbate information asymmetry in the market?

A considerable body of evidence, both archival and experimental, suggests that accounting accruals are heterogeneously interpreted by investors. We examine whether the information asymmetry among investors arising from this heterogeneous interpretation, implied in these empirical results, affects transactions costs in the form of the adverse selection component of the bid-ask spread. We examine this impact both, in a yearly setting and around the first release of quarterly accrual information. The results of the study provide empirical evidence of a positive association between the adverse selection component and accruals in the yearly analysis. Since wider bid-ask spreads are both theoretically and empirically linked to higher stock returns (Brennan & Subrahmanyam, 1996), our results provide a transaction cost basis for understanding one possible factor underlying the linkage between accruals and cost of equity capital, and accruals and information risk pricing as documented in Francis et al. (2005) and Ecker et al. (2006).     

Emerging technologies: quantitative identification and measurement

Emerging technologies present both challenges and opportunities for national technology strategies. National governments may therefore want to monitor the technological horizon on a systematic basis. This article outlines the quantitative approaches available for such monitoring. Among the standard types of bibliometric data, proposals and publications are most likely to be useful for this purpose since they capture information earlier in the cycle of technology development. Patents, in contrast, trail behind. Analysis can proceed with keywords or citations, and algorithms are available to use the information structure inherent in these kinds of data to identify and measure emerging areas. There are limitations, however, in all the available approaches and the authors therefore recommend using them in conjunction with expert methods by focusing the qualitative assessment in particular areas.     

Birth-spacing,fertility and neonatal mortality in India: Dynamics,frailty, and fecundity

Using microdata on 30,000 childbirths in India and dynamic panel data models, we analyse causal effects of birth-spacing on subsequent neonatal mortality and of mortality on subsequent birth intervals, controlling for unobserved heterogeneity. Right censoring is accounted for by jointly estimating a fertility equation, identified by using data on sterilization. We find evidence of frailty, fecundity, and causal effects in both directions. Birth intervals explain only a limited share of the correlation between neonatal mortality of successive children in a family. We predict that for every neonatal death, 0.37 additional children are born, of whom 0.30 survive.     

Bordered communities: the perception of insecurity in five European cities

Quality & Quantity - The article explores the results of a recent European empirical study within the project Margin: tackling insecurity in marginalized areas, funded with the Horizon 2020...     

Toward a global low carbon fuel standard

A new policy instrument, known as a low carbon fuel standard (LCFS), is a promising approach to decarbonize transportation fuels. An LCFS has several important features: it applies a lifecycle carbon intensity standard, incorporates market mechanisms by allowing credit trading and targets all transport fuels. A harmonized international framework is needed that builds on newly enacted LCFS policies adopted in California and the European Union.     

Preference uncertainty in contingent valuation

In this paper, the results of empirical studies that applied two widely used methods - numerical certainty scale (NCS) and polychotmous choice (PC) - for estimating preference uncertainty adjusted willingness to pay (WTP) in contingent valuation (CV), are summarized. For this review, a number of conclusions are reached. First, there is a lack of consensus about which method is more appropriate for measuring preference uncertainty. Second, although preference uncertainty information has been found useful in detecting the incidence of hypothetical bias in CV studies, a consensus about a standard certainty threshold (or treatment mechanism) at which hypothetical behaviour converges to real behaviour is yet to emerge. Third, insufficient empirical evidence exists about the causal relationship between preference uncertainty scores and the theoretically expected explanatory variables. Finally, the preference uncertainty adjusted PC and NCS models fail to provide a consistent and more efficient welfare estimate compared to the conventional dichotomous choice certainty model.