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The study seeks to examine the extent and the causes of multidimensional poverty as opposed to the traditional unidimensional headcount poverty measures to understand the true face of economic deprivation in Punjab, Pakistan.

Poverty is measured through the Alkire–Foster index at the geographically disaggregated levels of divisions and districts, and the causes of pervasive poverty are analyzed through a logit model using the Multiple Indicators Cluster Survey (MICS) comprising of 95,238 households in 9 geographical divisions and their 36 districts.

It was found that poverty in Punjab is associated with larger household size, inadequate wealth, and low levels of educational attainment, and that both matric as well as post-matric education reduced the chances of poverty of household heads by approximately 19 percent. In addition to rural poverty, the study finds evidence of urban poverty across the geographical districts of Punjab. Contrary to common belief that chances of poverty are higher in females, it was found to be more likely in males. However, the statistical significance of gender as a determinant of poverty was not observed in the majority of divisions.

Practical implications were for focused policy interventions in poverty alleviation.

The analysis of determinants of multidimensional poverty at the geographically disaggregated level of divisions is an original contribution.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2019-0037

In light of the inequality in access to farming land and the high prevalence of child malnutrition in Sudan, there is a lack of empirical research on the relationship between land ownership and child nutritional status. This study aims to examine the influence of agricultural landholding on the nutritional status of children under the age of five in rural Sudan.

The study utilizes data from Sudan’s 2014 Multiple Indicator Cluster Survey (MICS), covering a sample of 10,753 rural children. The empirical analysis uses the two-stage least squares (2SLS) approach, adopting various estimation methods and model specifications for robustness check and comparison.

The results demonstrate that agricultural land has a positive and significant effect on reducing child malnutrition, signifying that children from families with agricultural land are less susceptible to malnutrition in Sudan. When examining the male and female sub-samples separately, the findings indicate a positive influence of land ownership on child malnutrition in the female sub-sample, while no significant impact is observed in the male sub-sample. This indicates a gender disparity in the effects of land ownership on child nutrition, with girls benefiting more from access to agricultural land compared to boys.

The study has several significant contributions. First, this is the sole study that examines the impact of agricultural land ownership on child malnutrition in Sudan. Second, considering the gender variations in nutritional status, investigating the influence of land ownership on child nutrition across genders addresses a significant gap in the current literature. Finally, the findings resulting from this study can contribute to achieving the United Nations Sustainable Development Goals (SDGs) to be achieved by 2030, precisely focusing on SDG2 Goal 2: Zero hunger and SDG 10: Goal 10: Reduced inequalities.

Modular integrated construction (MiC) is an innovative and effective manufacturing-based method of construction that has become the mainstream development direction of projects in Hong Kong (HK). However, large-scale promotion of MiC practice still needs efforts. A pressing concern is that the impact of relevant policies on stakeholders during project implementation is rarely explored in depth. Therefore, to fill the research gap, this study aims to investigate the influence of policies on stakeholders to drive the successful implementation of MiC in HK.

This study uses a strategy of multiple methods. First, a comprehensively literature review and survey were adopted to identify critical policies and stakeholders. Second, semi-structured interviews with 28 experts were conducted to quantify their relationships. Third, three policy–stakeholder networks at initiation, planning and design and construction stages were established using social network analysis.

Environmental protection policy, COVID-19 pandemic policy and environmental protection policy and quality acceptance standard for project completion are found to be the most important policies of the three stages, respectively. The HK government and developers are highlighted as prominent stakeholders influencing policy implementation at all three stages. The dynamics of the influence stakeholders receive from critical policies at different stages of MiC are discussed. Valuable recommendations are accordingly proposed to enhance the successful implementation of MiC projects from the perspective of various stakeholders.

This study contributes to the body of knowledge by considering the mediating influence of stakeholders during policy implementation in the MiC uptake, and is valuable in helping policymakers to deeply understand the influence of policies to further forward successful MiC implementation and practicality in HK.

Sustainable Development Goal (SDG) Indicator 4.2 calls for all girls and boys to have access to high-quality early childhood education by 2030. This global mandate establishes a new framework of accountability to increase access to preprimary education in low- and middle-income countries through measurement and reporting. As with other global indicators, however, the measurement of preprimary education access is more complex and nuanced than may be supposed. This data-oriented chapter delves deeply into the measurement of SDG 4.2 and explores the accuracy of the indicator being used: the adjusted net enrollment ratio, one year before the official age of primary entry. The chapter analyzes data from both education management information systems (EMIS) and household surveys to triangulate information about children’s access to preprimary education before they begin primary school. The analysis concludes that the indicator used to measure SDG 4.2 is overestimating access to preprimary education, because it includes large numbers of children who enroll in primary school before the official age of entry. This suggests that parents “vote for preschool” by sending their under-age children to primary school when access to affordable preprimary is limited. Implications for SDG measurement and preprimary policy are discussed.

Malnutrition is one of the serious public health problems especially for children and pregnant women in developing countries such as Bangladesh. This study aims to identify the risk factors associated with child nutrition for both male and female children in Bangladesh.

This study was conducted among 23,099 mothers or caretakers of children under five years of age from a nationally representative survey named Bangladesh Multiple Indicator Cluster Survey, 2019. This study used chi-square test statistic for bivariate analysis and multinomial logistic regression was used to evaluate the adjusted effects of those covariates on child nutritional status.

The prevalence of severely malnourished, nourishment was higher for males than females (5.3% vs 5.1%, 77.4% vs 76.8%) while moderately malnourished were higher for females (18.1% vs 17.4%). The findings from the multinomial model insinuated that the mother’s education level, wealth index, region, early child development, mother’s functional difficulties, child disability, reading children's books and diarrhea had a highly significant effect on moderate and severe malnutrition for male children. For the female children model, factors such as mother’s education level, wealth index, fever, child disability, rural, diarrhea, early child development and reading less than three books were significant for moderate and severe malnutrition.

There is a solution to any kind of problem and malnutrition is not an exceptional health problem. So, to overcome this problem, policymakers should take effective measures to improve maternal education level, wealth status, child health.

Early literacy and numeracy development among children may be the best measure of a child's well-being. The purpose of this research was to examine the impact of child factors, quality of care and household factors, and community factors in early childhood on the development of literacy and numeracy skills of children in Bangladesh.

For this study, the authors used data from Bangladesh's 2019 Multiple Indicator Cluster Survey. The association between response variables and selected covariates was examined using the chi-square test. To determine the risk factors for early child literacy and numeracy development, the authors applied two-level logistic regression models.

Among the total of under five children (n = 9,449), in general, 29.1% of the children were growing in the development early childhood literacy and numeracy in Bangladesh. Children (36–47 months), male children, children with moderate stunting, children with severe and moderate underweight status, mothers without education and primary education, and mothers from the poorest, poorer, middle and richer households were less likely than their counterparts to develop children's early literacy and numeracy skills. In contrast, women from the eastern and central regions, children who read at least 3 books, and early childhood education had higher odds of children's literacy and numeracy skills development than their counterparts.

The results from this study suggest that children's, community, quality of care and household level significant factors should be considered when trying to improve children's literacy and numeracy skills development in Bangladesh.

One of the United Nations’ sustainable development goals is to ensure the availability of improved drinking water for everyone. In this study, we examine the association between access to improved drinking water at the district level and child nutritional outcomes in Pakistan.

We employ district-level unbalanced panel data from Pakistan from various rounds of Pakistan Social and Living Standards Measurement Surveys and Multiple Indicators Cluster Surveys compiled by the Data4Pakistan, Pakistan District Development Portal. We examine the impact of the percentage of the population in a given district with access to clean drinking water on the percentage of stunted, underweight and wasted children in the district. The analysis proceeds in two steps. In the first step, we explore the spatial distribution of improved drinking water coverage and child development outcomes across districts. In the second step, we study their relationship by employing standard panel estimation methods and controlling for district characteristics.

The spatial analysis reveals the large disparity among districts and provinces in terms of improved drinking water coverage and child nutrition. The estimation results indicate that there is a significant association between the accessibility of improved drinking water and child development outcomes. The effect is significant for child stunting and underweight but not for child wasting. The impact appears to be stronger in rural districts. These findings are robust to alternate empirical strategies.

This is the first such study to examine the provision of improved drinking water at the district level in relation to child developmental outcomes in a developing country context.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2023-0739

Key international and intergovernmental organizations assess the size of the Roma population in Serbia to be around 4–600.000, rendering Serbia among the five countries in Europe with the highest percentage of Roma population. Although Roma in Serbia have a long history of self-organization, cultural and media organizations, and are formally recognized as national minorities with a National Council of the Roma National Minority as a body with political decision-making influence, the Roma community in Serbia, as in most other European countries, is the most disadvantaged and underprivileged group in the country, often living in underdeveloped neighbourhoods with limited access to social services, especially education and health.

The educational attainment of the Roma population in Serbia, as in other countries in Europe, is far below the attainment of the general population. The education indicators are showing a developing trend, albeit slow. Roma integration policies evolved in Serbia from the early 2000s in the general policy framework of Equity of Education and Inclusive Education and a comprehensive education reform agenda, promoted and legally endorsed by the 2009 Law on the Foundations of the Education System. As the consequence of such an approach, the Roma integration policies intertwined and mutually reinforced with other reform policy areas. The most important post-2000 policies supporting the integration of Roma students into education are the introduction of pedagogical assistants in elementary schools and preschool institutions as a profession, paid from the budget, abolishing the system of school readiness assessment, introducing individual education plans and intensifying affirmative action and scholarships for enrolment in secondary and tertiary education.

In this paper the authors address the issue of the management of the marketing/entrepreneurship interface in small entrepreneurial knowledge‐based firms (EKFs). According to the perspective presented in this work, in such firms, the management of the interface is strictly related to ensuring a suitable balance of market and technological innovation capabilities throughout each phase of firm’s life. In order to contribute to the debate in this research area, the authors propose a theoretical framework based on both organizational configuration and resource‐based theories. Within this theoretical framework, a methodology to evaluate firm’s innovation capabilities based on the use of fuzzy logic is described. The proposed methodology was tested in a field analysis whose results are presented in the paper. On the basis of these empirical results, some useful indications and practical lessons concerning the relationships between marketing/entrepreneurship and innovation in small innovative firms are discussed.

In the new economy, governed by technological progress and informational abundance, e-government service represents one of the drivers of the digital economy and society. The government and its institutions have the role of stimulating, leading, and controlling the process of transition to the digital society, which is a key component for the future prosperity and resilience of the European Union (EU). With focus on a better functioning of society by improving the citizens' access and use of e-government services, in this work we aim to identify the factors that influence the online interaction of individuals with public authorities in the EU member states. We used panel data for the EU member states in the period 2013–2021 to investigate the determinants of individuals' interaction with public authorities through institutional websites, using clustering regression with fixed effects, which allows both the clustering of the states and obtaining different slope parameters for each cluster. The results indicated the grouping of the EU states in an optimal number of two clusters, and the fixed effects regression clustering pointed out different coefficients for the two clusters, indicating distinct patterns. The main factors that influence the online interaction of citizens with public authorities are related to internet use, education, and government effectiveness, but the impact is different for the two clusters, depending on the specifics of the component countries.