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The purpose of this paper is to measure TFP growth and job reallocation in the Vietnamese manufacturing industry after the Doimoi period.

The study uses firm-level panel data from Vietnam’s annual enterprise survey data for 2000–2016 period in the Vietnamese manufacturing industry using Olley–Pakes static and dynamic productivity decomposition methods.

The aggregate productivity estimated from the WRDG method increased 2.323 percent, of which over 40 percent is due to the reallocation toward more productive firms. Olley–Pakes dynamic decomposition according to ownership, scale and industry shows that the contribution of private and state-owned firms and the contribution of small and medium firms and large firms to the TFP growth are 133, −33 percent, 58.56 and 41.44 percent, respectively. The within-firm productivity and net entry components are the main reasons for TFP growth rather than reallocation. The results show that the composition of the aggregate TFPs, estimated from WRDG, OP, LP and ACF, is correlated very high (over 80 percent) except for net entry components.

The major limitation of this study is that the authors compute an aggregate productivity index using actual employment-based shares (still misallocation in labor), rather than optimal employment-based shares (no misallocation in labor).

Job reallocation between industries is attracting attention in developing countries, especially transition economies. However, knowledge about job reallocation among industries is limited. This paper assesses the level of job reallocation among private and state-owned firms, small and medium firms and large firms in Vietnam.

This article focuses on the assessment of entrepreneurship competence by selected vocational teachers in Italy. The exploratory research question addresses the extent to which entrepreneurship assessments are competence based, and the research seeks to identify fully fledged assessment programmes with both a formative and summative component, and the use of assessment rubrics. It also explores the extent to which entrepreneurship competence is referred to in school documentation and later assessed, and the tools and strategies used for such assessment.

This case study is part of a larger European research project promoted by Cedefop; in Italy it focused on six selected vocational IVET and CVET programmes and apprenticeship schemes. It used a wide range of instruments to ensure triangulation and multiple perspectives: analysed policy documents and undertook online interviews with experts and policy makers. At VET providers' premises it deployed: analysis of school documents; observations of learning environments; interviews and focus groups with (in schools) teachers, directors and vice directors, learners and alumni (in companies) instructors, company tutors and employers, apprentices and alumni.

Assessment tasks were rarely embedded within fully fledged assessment programmes involving both formative and summative tasks, and assessment rubric for grading. Most of the time, entrepreneurship programmes lacked self-assessment, peer assessment and structured feedback and did not involve learners in the assessment process. Some instructors coached the students, but undertook no clear formative assessment. These findings suggest institutions have a testing culture with regard to assessment, at the level of both policy and practice. In most cases, entrepreneurship competence was not directly assessed, and learning outcomes were only loosely related to entrepreneurship.

One limitation concerned the selection of the VET providers: these were chosen not on a casual basis, but because they ran programmes that were relevant to the development of entrepreneurship competence.

At the policy level, there is a need for new guidelines on competence development and assessment in VET, guidelines that are more aligned with educational research on competence development. To ensure the development of entrepreneurship competence, educators need in-service training and a community of practice.

So far, the literature has concentrated on entrepreneurship education at the tertiary level. Little is known about how VET instructors assess entrepreneurship competence. This study updates the picture of policy and practice in Italy, illustrating how entrepreneurship competence is developed in selected IVET and CVET programmes and apprenticeships.

This paper seeks to analyze consumer preferences toward fresh rabbit meat and obstacles and interest in consuming the product.

The paper uses the dual response choice experiment (DRCE) design which allows for analyzing forced and unforced options in choice experiments using the same sample. The heteroscedastic extreme‐value (HEV) model is used due to its relaxation of the restrictive assumption made in the multinomial logit model regarding the identically distributed error term across alternatives. The empirical analysis uses consumer‐level questionnaires to elicit information regarding consumer attitudes toward rabbit meat in Catalonia (Spain).

The results demonstrate a higher preference for rabbit meat from “Catalan” origin followed by higher quality certification information. Convenience and “ready‐to‐eat” products made from rabbit meat may help bolster increased consumption. An effective communication campaign is needed to educate individuals regarding the health characteristics of rabbit compared to other types of meat. Furthermore, results demonstrate that the ordering of attributes is not significantly different from forced and non‐forced choices obtained from the DRCE design. However, significant differences on the magnitude of the preferences for some attributes' levels are found.

From a methodological point‐of‐view, the study follows a similar design to the dual response choice experiments. However, the study is differentiated by asking consumers whether they are willing to buy the product. More emphasis is made on the purchasing context of the task leading consumers to focus more on their budget constraints by considering the price. The study uses the DRCE design as an alternative of the traditional single stage choice experiments. Owing to budgets constraint, the study could be improved by comparing results from both designs. At the empirical level, it would be interesting to extend the study to other geographical parts in Spain.

The study can help policy makers in stimulating demand for rabbit meat. Rabbit meat farmers in Catalonia were forced to abandon their farms due to the lack of demand. Consumption has decreased dramatically. As recommended in the paper, high quality labelling of the meat, improving the carcass format and its presentation and the healthiest characteristic of the meat could be a good way to promote and stimulate demand.

From the empirical point‐of‐view, this study, to the authors' knowledge, is the first application of CE and CV to analyze consumers' preferences towards rabbit meat. Furthermore, it is the first paper that applies the HEV model in agro‐food economics and specifically towards rabbit meat.

Important socioeconomic changes have been undergone due to the international economic crisis. In Catalonia (Spain), political changes towards independentism also occurred within the same period. The purpose of this paper is to explore the consumers’ wine preferences in Catalonia in two different scenarios. In particular, the authors have focussed the interest in those preferences regarding the regional origin of the wine.

Data were elicited from two identical discrete choice experiments performed in two times: before (2008) and during the economic crisis (2010) in Catalonia, Spain.

The results imply that the external common circumstances may have had a homogenising influence in consumer choices by decreasing the level of randomness of consumers’ selection. Consumers’ preferences for a Catalan origin were enhanced during the crisis, while price became the most important attribute.

Ideally, the participants involved in both experiments would have been the same. Unfortunately, this was not possible to maintain and it is one of the limitations of this study. The authors are also aware that other non-controlled variables may have also played a role and the conclusions that are driven should be taken carefully.

This paper contributes to the literature of the discrete choice modelling using the recently developed Generalized Multinomial Logit Model. To the knowledge this is the first application in the literature of wine preferences to measure the impact of the contextual changes (economic and political) in Catalonia (Spain).

This paper aims to present a novel approach on investigating critical current densities in the solder joints of chip-size surface-mounted components or device (SMD) components and ball grid array (BGA) lead-free solder joints with the focus of via-in-pad geometries. The investigation involves a numerical approach and a physical validation with selected geometry configurations and high current loads to reveal possible failure sources. The work is a continuation of a previous study.

Current density was investigated using finite element modeling on BGA joints. Dummy BGA components, 0402 and 0603 zero ohm jumper resistors, were used, both in daisy chain setups on standard FR4 printed circuit boards (PCBs). Respective physical loading experiments were set to find effects of elevated current density at hot zones of the joints. Cross-section analysis, scanning electron microscopy and shear force tests were used to analyze the joints.

The findings reveal alterations in the joints, while the current loading is not directly affecting the structure. The modeling reveals the current density map in the selected formations with increased current crowding zones. Overall, the degradation does not reach the level of electromigration (EM)-induced voiding due to the limiting factor of the FR4 substrate.

The heavy current load affects joint reliability, but there are limitations of EM-induced failures on PCB-based assemblies due to the thermomechanical weakness of the FR4 material.

The experiments investigate current density from a novel aspect on frequently used BGA surface mounted components with modeling configurations focusing on possible effects of via-in-pad structure.

The purpose of this paper is to present a holistic intra‐individual perspective on leaders, which focuses on four components of the inner person of the leader; Being, Cognition, Spirituality, and Emotion, and on the observable components of Behavior and Relationships.

Existing leadership literature is appraised within the context of the model. Previously‐proposed interrelationships among the components are enumerated. The paper suggests implications of the model regarding research content and methodology as well as leader development.

The model implies that all components should be included in research and that interrelationships among components should be explored. Also implied is the use of methodological pluralism.

Leaders should attend to all components in the model in their self‐development efforts.

The paper takes an unusual approach to understanding leadership: an individual‐level holistic perspective.

This study is based on the development of predictive classification for the success of a venture capital (VC) deal derived from both qualitative and quantitative indicators.

Decision tree analysis has used for devising the success model of VC deal. Various deal characteristics are considered in this study as the observable component of success.

The finding of this analysis indicates that the success of the deal does not only depend on the final outcome like post company valuation (POST_COMP), realised revenue (RREV) but also depends on various observable contractual characteristics like syndication, use of convertible security and ownership percentage with some noticeable deal features.

This study increases the further scope of study on a contractual mechanisms such as allocation of cash flow right and control right in the deal contract between venture investor and entrepreneur firm. This could give a better understanding of success path of a venture deal.

This study has attempted to derive a performance model based on observable attributes of a VC deal.

Vulnerability analysis provides an assessment of the likelihood of system failure in a man‐made hostile environment, involving sabotage, security compromise and combat damage. The fault‐tree approach proved most useful as many obscure but significant failure modes surfaced as a result of the step‐by‐step logic involved. Analysis tools were applied to the problems of nuclear reactor sabotage, space shuttle and combat system vulnerability. An increased qualitative understanding of system vulnerabilities, the effectiveness of counter‐measures and the ranking of scenarios by their attractiveness to saboteurs or other adversaries were the chief results of the work.

Simple methods for the steady‐state analysis of a flow network are readily available, but the dynamic behavior of a large‐scale flow network is difficult to study due to the complex differential‐algebraic equation system resulting from its modeling. It is the aim of this paper to present two simple methods for the dynamic analysis of large‐scale flow networks and to demonstrate their use by examining the dynamics of a self‐similar branching tree network.

Two numerical projection methods are proposed for one‐dimensional dynamic analysis of large piping networks. Both are extensions of that suggested by Chorin for the nonlinear differential‐algebraic system resulting from the Navier‐Stokes equations. Each numerical algorithm is discussed and verified for turbulent flow in a nonlinear, self‐similar, branching tree network with constant friction factor for which an exact solution is available.

The dynamics of this network are calculated for more realistic friction factors and described as system parameters are varied. Self‐excited oscillations due to laminar‐turbulent transition are found for some parameter values and dynamic component behavior is observed in the network which is not observable in components apart from it.

It is shown that the dynamics of a flow network can exhibit unexpected behavior, reinforcing the need for simple methods to perform dynamic analysis.

This paper presents two numerical projection schemes for dynamic analysis of large‐scale flow networks to aid in their study and design.

This paper aims to clarify the necessity of taking into account the commonly neglected radiation in built environments. Ignoring radiation within acclimatized spaces with moist air, which is a participating medium, can yield inaccurate values of the relevant variables, endangering the Heating, ventilation, and air conditioning design accuracy and leading to energy inefficiencies and discomfort.

The paper uses computational fluid dynamics to predict non-isothermal flows with radiation, for both mixing and displacement ventilation strategies. The tool is applied to a lab-scale model (scale 1:30), and the results are compared with experimental data and predictions without radiation. Furthermore, the radiation influence is also assessed at real-scale level, including a parametric study on the effect of the air relative humidity on radiation.

The paper demonstrates the unequivocal impact of radiation on the flows thermal-kinematics at real-scale: ignoring radiation yields average air temperature differences of 2ºC. This becomes more evident for larger air optical thicknesses (larger relative humidity): changing it from 20 per cent to 50 per cent and 70 per cent yields maximum relative differences of 100 per cent for the velocity components and 0.4ºC for the air temperature. Nevertheless, the results for the lab-scale case are not so conclusive about the effect of moist air radiation on the thermal flow characteristics, but they evidence its impact on the flow kinematics (maximum relative differences of velocity components of 35 per cent).

The paper fulfills an identified need to clarify the relevant effects of air moisture on radiation and on the flow turbulence and thermal-kinematic characteristics for forced convective flows inside built environments.