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Relative to the randomized controlled trial (RCT), the basic regression discontinuity (RD) design suffers from lower statistical power and lesser ability to generalize causal estimates away from the treatment eligibility cutoff. This chapter seeks to mitigate these limitations by adding an untreated outcome comparison function that is measured along all or most of the assignment variable. When added to the usual treated and untreated outcomes observed in the basic RD, a comparative RD (CRD) design results. One version of CRD adds a pretest measure of the study outcome (CRD-Pre); another adds posttest outcomes from a nonequivalent comparison group (CRD-CG). We describe how these designs can be used to identify unbiased causal effects away from the cutoff under the assumption that a common, stable functional form describes how untreated outcomes vary with the assignment variable, both in the basic RD and in the added outcomes data (pretests or a comparison group’s posttest). We then create the two CRD designs using data from the National Head Start Impact Study, a large-scale RCT. For both designs, we find that all untreated outcome functions are parallel, which lends support to CRD’s identifying assumptions. Our results also indicate that CRD-Pre and CRD-CG both yield impact estimates at the cutoff that have a similarly small bias as, but are more precise than, the basic RD’s impact estimates. In addition, both CRD designs produce estimates of impacts away from the cutoff that have relatively little bias compared to estimates of the same parameter from the RCT design. This common finding appears to be driven by two different mechanisms. In this instance of CRD-CG, potential untreated outcomes were likely independent of the assignment variable from the start. This was not the case with CRD-Pre. However, fitting a model using the observed pretests and untreated posttests to account for the initial dependence generated an accurate prediction of the missing counterfactual. The result was an unbiased causal estimate away from the cutoff, conditional on this successful prediction of the untreated outcomes of the treated.

This chapter examines the nexus between the between tourism growth and income inequality in the top 10 tourist destinations in the world by using the advanced econometric technique namely quantile-on-quantile (QnQ). This approach combines the two approaches, that is, the nonparametric estimation and quantile regression and regresses the quantile of the tourism growth onto income inequality quantiles, thus enabling the effect of the income inequality on across different conditional tourism growth distribution. It also allows to explain a comprehensive picture of the overall interdependence and nonlinear relationship between the examined variables. The result from QnQ approach shows a negative association between income inequality and tourism growth, however, the country-specific analysis shows wide variations within and across different quantiles of variables. Notably, on the one hand, a strong negative association between the variables is found in China, France, Spain, Italy, Russia and the USA implying that tourism expansion minimizes the income inequality. On the other hand, a strong positive association is noted in Germany, Turkey, Mexico and the UK, which means that growth in tourism widens the income inequality. These outcomes provide important policy direction for tourism management in the respective countries.

In this study, we propose a tetrahedral mesh generation and adaptive refinement method for multi-chamber, multi-facet, multiscale and surface-solid mesh coupling with extremely thin layers, solving the two challenges of mesh generation and refinement in current electromagnetic simulation models.

Utilizing innovative topology transformation techniques, high-precision intersection judgment algorithms and highly reliable boundary recovery algorithms to reduce the number of Steiner locking points. The feasible space for the reposition of Steiner points is determined by using the linear programming. During mesh refinement, an edge-split method based on geometric center and boundary facets node size is devised. Solving the problem of difficult insertion of nodes in narrow geometric spaces, capable of filtering the longest and boundary edges of tetrahedrons, refining the mesh layer by layer through multiple iterations, and achieving collaborative optimization of surface and tetrahedral mesh. Simultaneously, utilizing a surface-facet preserving mesh topology optimization algorithm to improve the fit degree between the mesh and geometry.

Initial mesh generation for electromagnetic models, compared to commercial software, the method proposed in this paper has a higher pass rate and better mesh quality. For the adaptive refinement performance of high-frequency computing, this method can generate an average of 50% fewer meshes compared to commercial software while meeting simulation accuracy.

This paper proposes a complete set of mesh generation and adaptive refinement theories and methods designed for the structural characteristics of electromagnetic simulation models, which meet the needs of real-world industrial applications.

This chapter focuses on the value of TED Lectures on the issue of domestic violence and abuse (DVA). It outlines a generic framework with which to understand and analyse the impact of TED Lectures on a theme as complex as DVA is, in the context of popular Western culture. It does so by looking in details at the Ted Lecture of Leslie Morgan Steiner from 2012, which aims to answer the question ‘Why Domestic Violence Victims Don't Leave: Crazy Love’ through her own personal experience.

In the attempt to understand the impact of this TED Lecture we look at the literature on TED Lectures, the unique aspects of DVA, who is the presenter, the impact and its components, the active viewers who sent written comments on the Ted Lectures, the technical effect, the comparison with two other Ted Lectures on DVA, ending by identifying gaps in the analysis provided by the three Ted Lectures.

Presenters share with the viewers their personal experience, as well as their experience as activists in organisations and programmes set out to change the status quo in the field of DVA.

The lectures impact through layers of emotional and intellectual facets, which speak to the individuals viewing them through the lens of their own emotional and intellectual experiences of DVA on the one hand, while on the other hand being also influenced by the mode of presentation and the presenter her/himself.

The author attempts to provide an ethnography of a set of medical ideas and of their relationship to a distinctive religious system and to raise some questions about the nature of ethnographic description.

The first alternative is to enrich shareholding by management. The basic theory of this research is the agency theory. This study aims to examine the institutional ownership, dividend policy, debt policy, and risk that are interconnected directly or indirectly. The research sample was a non-financial company from 2010 to 2014. Four variables will be tested using Two-stage Least Square (2SLS) in the SPSS application. The result of this study represents the overall interdependency relationship among institutional ownership, dividend policy, debt policy, and risk. The research outcome signifies an interdependency relation for endogenous variables, even if some exogenous variables have no significant relation. In addition, the effects of substitution between institutional ownership and dividend policy, debt policy and dividend policy, and institutional ownership and risk. Meanwhile, institutional ownership and dividend policy, risk and dividend policy, and risk and debt policy have no substitution effect.

This paper aims to investigate Lean Six Sigma (LSS) in the Brazilian context, seeking to identify its main characteristics and opportunities for future research.

This study focuses on a literature review in the area of production engineering and operations management, where 104 relevant scientific publications were identified.

The results show that the most important critical success factor for integrating LSS in Brazil is top management support and commitment. LSS integration occurs predominantly in large industrial companies, being incipient in small and medium-sized enterprises. In general, there is no structured way of applying LSS. A standard framework for LSS is still lacking.

This study is limited to a sample that only comprises Brazilian scientific studies.

Professionals and practitioners can understand the evolution of LSS through practical applications and the main LSS tools used in both the industrial and services sectors. It also points out the critical success factor for the implementation of LSS. The study highlights several roadmaps for LSS implementation adopted by large and modern Brazilian automotive industries based on a robust technological base. This study also contributes to expanding the evidence base of LSS application, both in Brazil and in other countries.

Some suggestions are proposed to clarify the structure and complexity of integrated implementation of LP and SS as well as expand the LSS application in small and medium-sized enterprises. This study is the first to discuss the current situation of LSS in Brazil and provide suggestions to expand LSS in the country. Comparisons of Brazilian LSS literature review with researches of others countries are also presented.

Today, the global education market is one of the faster growing sectors, and it has attracted several new actors or what we call educational brokers who are now responsible for shaping national agendas. The newer actors in education are vastly different for the former players in that whereas previous actors engrossed national educational systems through the provision of technical assistance to meet international standards, best practices, and benchmarks, these newer players are for-profit entities that emphasize austerity, leanness, human resource maximization, performance targets, and competition. Therefore, in this new educational landscape, national governments are seen as “clients” who receive “expert” advice from “external consultants” that have an assortment of experiences across different sectors. Education governance is no longer a statist endowed but one that incubates in laborites of best practices resonates with existing case studies and results driven based on Big Date collected. We argue that educational brokers are responsible for the emergence of a hybrid form of education governance that use business and market techniques to reform strategies within the education sector. We conclude by suggesting that collectively educational brokers are using what we call “educational sub-prime mechanisms” – higher interest rates, reduced quality collateral, and less advantageous terms to counterweight higher credit risk – to manage educational portfolios and newer forms of educational risk.

Exploring the Lean and Green relationship goes back to the beginnings of Lean manufacturing. Most cases established that companies implementing Lean have Green results. However, there are Lean practices with a higher impact on Green, but others with less impact. Therefore, this paper presents research that explores the relationship between Lean and Green in manufacturing companies and aims to determine whether Lean practices have a higher association with Green aspects.

A survey was conducted amongst manufacturing firms to determine their Lean Index (LI). The internally related elements of the Lean construct determined each firm’s LI, whilst Cronbach alpha determined internal LI consistency. The survey also identified firms developing six Green aspects: International Organisation for Standardisation (ISO) 14001, ISO 50001, general Green aspects and the specific aspects of materials, energy and water. An individual sample t-test shows different LI levels of association for each Green aspect. Binomial logistic regression shows the LI element association for each Green aspect.

LI is higher at firms reporting the inclusion of Green aspects. More than half of LI components have a statistically relevant association with the six Green aspects. In general, Ishikawa diagrams had the highest association with Green aspects whilst the lowest was seen in workers as improvement initiators. By grouping the LI elements into their categories, the Lean practices related to controlling processes have a higher association, whilst the involvement of employees has the lowest.

Further research found in this paper identifies the possibilities for investigating the specificities of each Lean tool to develop Green aspects in companies.

Practitioners learn that Lean and Green are not separate issues in business. This article provides evidence that Lean practices in place at companies are already associated with Green aspects, so integration may already be happening.

This paper provides specifics on the relationship between each Lean practice and developing Green aspects. Thus, this paper specifies the Lean practices that contribute most to Green efficiency to support the joint development of both themes.

This paper examines the interrelationships among debt policy, dividend policy, and ownership structure using a simultaneous equation framework. Our approach allows us to test both the convergence of interests theory and entrenchment theory. Using a sample of publicly traded South Korean manufacturing firms, we find that debt policy and ownership structure have a positive impact on dividend policy. We also find that both debt and dividend policy are positively related to ownership structure. Our findings support both the theory of convergence of interests between management and ownership and entrenchment theory, and also explain why many studies have found conflicting results.