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The purpose of this paper is to provide insight to policy-makers into a framework for action, which is needed to effectively reduce poverty in its monetary and non-monetary dimensions.

Specifically, an exact decomposition analysis is conducted that is based on the Shapley value method, and investigated the growth and redistribution effects as well as changes due to mobility and sector-specific effects of the variation in both income/expenditure and non-income poverty dimensions.

Growth in mean consumption and household assets accounted for the bulk of the improvement in poverty reduction and the results complement the evidence obtained from the “sectoral decomposition” of poverty in Cameroon which may indeed have a strong bearing on the sectoral shares of poverty. The temptation is resisted, however, not to deny that redistribution also has an important role to play, yet there must be severe limits to what can be achieved by growth neutral redistribution. The redistribution effect had an ameliorating tendency in household asset deprivation among farming households.

This paper is a well-written piece using quite rigorous and interesting methodological approach. To obtain a measure of non-income dimensions of well-being, the authors constructed composite indices on household assets reflecting household access to a range of physical assets and services including human capital by polychoric principal component analysis method.

The study measured quality financial inclusion, a more comprehensive measure of financial inclusion, and examined its determinants at a consumer level in South Africa.

This study leveraged on FinScope 2015 survey data to compute a quality financial inclusion index using polychoric principal component analysis. Subsequently, a heteroscedasticity consistent ordinary least squares regression model was employed to assess determinants of quality financial inclusion.

The empirical findings indicated that gender, education, financial literacy, income, location and geographical proximity determine quality financial inclusion. These findings could inform policymakers and financial services providers on how quality financial inclusion can be promoted through tailoring financial products for various socio-demographic groups.

Due to data limitations, the study was confined to South Africa and did not capture digital financial inclusion. Hence, future studies could replicate the study in Sub-Saharan Africa's context and compute an index that captures digital financial inclusion.

These findings could inform policymakers and financial services providers on how quality financial inclusion can be promoted through tailoring financial products for various socio-demographic groups.

This study proposed a more comprehensive measure of quality financial inclusion from a demand-side perspective by accounting for important dimensions that include diversity, affordability, appropriateness and flexibility of financial products and services.

This study aims to test the mediated effect of school climate in the relationship of principal time use (PTU) to student academic achievement using data from Singapore's 2011 Trends in International Mathematics and Science Study (TIMSS).

Capitalizing on the large-scale data, the study examined how Singapore principals distributed their time across 13 leadership activities and tested using structural equation modeling (SEM) how Singapore principals' time use was related to student achievement through molding intermediate school conditions, such as school climate.

The authors' findings suggest that Singaporean principals, when allocating time, generally emphasized (1) monitoring students' learning progress, (2) promoting school vision, (3) developing curricular goals and (4) monitoring teachers in areas related to curricular goals. Furthermore, after classifying the 13 principal activities into three broad domains, the authors find that Singaporean principals prioritize the domain of vision and goals over the other two domains – facilitating teaching and learning through a safe, positive school environment and problem-solving with teachers, as well as self and organizational improvement. Finally, the authors' SEM manifested a partial mediated model, suggesting principals' strategic time use could serve as a malleable factor in yielding optimal student outcomes through developing a positive school climate.

This study at present is one of the early attempts linking PTU, intermediate school conditions (e.g. school climate) and student outcomes using a mediated design and corresponding statistical modeling.

The paper aims at assessing the role of the different stages of the employment process in gauging workers' willingness to upskill themselves at the end of a seasonal employment contract by investing in further training.

The paper analyses data from a dedicated survey administered to a sample of seasonal employees. Through a regression analysis it explores the different stages of the employment process (job search, selection on the job activities), making a distinction between monetary and nonmonetary components of the investment in training.

Results show that all stages matter, but they do not have the same importance. Ex-ante motivations and work experience, notably the level of perceived workload and organizational commitment, are the main factors affecting workers' willingness to acquire industry-specific skills through training.

So far, the literature has extensively dealt with the poor levels of training in seasonal employers, but it did not analyse worker’s willingness to invest in training over the different stages of the worker experience. This paper fills this gap by separately testing the relative importance of such stages and identifying the most important phases of the employment process.

Crime has notable impacts on health outcomes of individuals through various pathways. This study aims to explore relationships between perceived neighborhood crime and health statuses of individuals in Turkey.

This study combines individual- and household-level data from a national household survey and regional-level data for empirical analyses. A multilevel estimation framework is used for quantification of associations between a perceived neighborhood crime indicator and an individual-level health status index.

Empirical findings indicate that perceived neighborhood crime level has a negative relationship with health indexes of Turkish individuals. Additionally, health index is significantly associated with individual- and household-level covariates.

Public policies for health and safety improvements should consider heterogeneities in characteristics of individuals and households in developing regions of the world.

Earlier findings on associations of crime and health measures mostly rely on evidence from developed regions of the world. This research complements the related literature by providing empirical analysis of associations between perceived neighborhood crime and health outcomes for a developing country, Turkey.

Indian households having the below poverty line (BPL) ration card receive rice, wheat, sugar and kerosene from the Indian Targeted Public Distribution System (TPDS) at subsidized rates. The paper uses the National Sample Survey Organization's consumption expenditure survey for the 61st round to study the causal effect of the BPL ration card on BPL households' calorie consumption. The paper aims to discuss these issues.

This causal effect is estimated by comparing per-capita-per-day calorie consumption of the BPL households having BPL card with that of a matched counterfactual BPL household from the same state not having BPL card, using stratified propensity score matching.

The BPL ration card was found to increase calorie consumption from cereals and decrease calorie consumption from non-cereal food items without affecting the overall calorie consumption of household. Thus, TPDS induces households to consume more cereals and less non-cereal without significantly changing the overall calorie consumption.

The research methodology controls for selection bias due to observable variables. Further, research needed to devise experimental set up to control for the selection bias due to unobserved variables.

The paper uses the targeting error in identifying BPL households in TPDS as a quasi-experiment set up to study the causal effect of the BPL ration card.

This paper aims to study the influence of innovation on micro, small and medium-sized enterprises (MSME) performance in Colombia through the 403 MSMES survey analysis. In particular, this paper measures the effect of participation in R&D alliances, product innovation and process innovation on it.

MSME performance is measured through a composite index, estimated through principal components analysis using polychoric correlations, which is based on eight self-reported assessments of MSME performance. Then, this measure of performance is related to MSME participation in R&D alliances and the product and process development stance of the MSME based on an adaptation of the Miles and Snow business classification scheme, by means of an ANOVA and a linear regression.

Colombian SMEs are not significantly benefitted from participation on R&D alliances. Instead, their performance appears to be dependent upon their internal innovation efforts directed to product development. Moreover, the results suggest that imitators get a performance almost as high as innovators.

Innovation activities in Colombian SMEs are carried out informally, as they are mostly uninterested to engage in R&D activities and to develop new products by own initiative. Moreover, few of them have an R&D department. In regard to technology, results suggest that almost half of SMEs are classified as followers, namely, they use the same technology as competitors.

The purpose of this paper is to analyse the determinants of tourist intentions to revisit a destination, paying special attention to the effects of satisfaction and the number of previous visits. In order to guarantee an incentive to improve the product, satisfaction must be the main determinant. A second objective is to analyse the contribution that satisfaction with different aspects of a destination makes on overall satisfaction.

A structural equation model (SEM) has been estimated. Some of the variables involved in the model are ordinal. Thus, tetrachoric, polychoric and polyserial correlations were calculated and then used as the input for structural equation modelling.

Both satisfaction and the number of previous visits have a positive effect on intention to return. However, the main determinant is satisfaction. Satisfaction with different aspects of the destination has a differing effect on overall satisfaction. Attributes associated with the basic sun and sand tourist product are the main determinants of overall satisfaction.

To promote repeat visits, it is crucial to identify the determinants of the intention to return. The factors that influence this variable can be improved in order to increase the likelihood of repeat visits.

Methods to estimate SEM with categorical variables have not been applied before to the field of tourism. In comparison with previous studies of repeat visitation, the main contribution of the model is that it simultaneously takes into consideration two causal links with the number of previous visits, the first affecting overall satisfaction and the second having a direct effect on a tourist's intention to return.

This paper aims to present a multi‐dimensional measure of poverty. The proposed method has been applied to the Panel Set of Belgian Households dataset for Belgium for the years between 1994 and 2000.

First, a common model is decided upon by exploratory factor analysis, and applied by confirmatory factor analysis. Cluster analysis (CA) is then used to separate the multi‐dimensional poor. Finally, the possible causes of multi‐dimensional poverty are surfaced by estimating a discrete duration model.

The proposed method reveals three dimensions of poverty: “material deprivation”, “social deprivation” and “psychological health”. Between 9 and 11 per cent of the representative sample of Belgian individuals are poor. The paper also identifies causes of poverty, including not having a job, not having the Belgian nationality, having a poor health or a disability, being lower educated, experiencing financial poverty, being divorced or widowed, living in the Walloon or Brussels regions, and having a bad psychological health.

Research implications include the use of polychoric and tetrachoric correlations as a starting point of factor analysis, as well as the combination of factor analysis and CA.

The paper proposes an alternative multi‐dimensional measure of poverty. It argues that previous measures may suffer from categorisation errors and suggests a solution to this problem. The advantages of the proposed method are that all information is used to disentangle the poor from the non‐poor and that dimensions of poverty are defined using the correlations between deprivations. Finally, the paper identifies “psychological health” as one of the dimensions of poverty.

Higher education institutions, as influential social institutions, play an important role in promoting social responsibility and sustainable practices. However, approaches to implementing sustainable development (SD) in higher education institutions (HEIs) themselves remain fuzzy. One way to achieve holistic embedding can lie in organizational culture. This study aims to examine ways by which internal sustainability governance can promote sustainability culture by using empirical data from German HEIs.

This study uses factor analysis to identify relevant governance indicators. With a regression analysis, this study assesses the indicators’ effects on organizational sustainability culture in HEIs. A moderator analysis tests potential determinants derived from literature and their influence on sustainability governance and sustainability culture.

Operationalizing formalized sustainability governance for holistic implementation reveals a gap in sustainability management at HEIs. This study proposes a model for operationalizing sustainability governance and shows an effect on sustainability culture at the formal organizational level.

Based on the operationalization of sustainability governance, this empirical study provides evidence for the development of a holistic approach along a sustainability culture in organizations. This paper proposes a model for operationalization, analyzes multiorganizational data and shows the effects of sustainability governance on formalized organizational sustainability culture. This paper provides a transorganizational perspective for implementing SD following a top-down approach.