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The authors investigated cocoa farmers' access to subsidized fertilizer in Ghana and implications on productivity.

Primary data were sourced from 435 cocoa farmers. Cragg hurdle and two-step Tobit model with continuous endogenous regressors/covariates were applied for the drivers of cocoa farmers' participation in fertilizer subsidy programme and productivity. Propensity score matching (PSM), inverse-probability weights (IPW) and augmented inverse-probability weights (AIPW) were applied for productivity impact assessment of fertilizer subsidy.

All the farmers were aware of fertilizer subsidy for cocoa production in Ghana. Farmers became aware of fertilizer subsidy through extension officers, media and other farmers. Half of cocoa farmers benefitted from fertilizer subsidy. Averagely, cocoa farmers purchased 292 kg of subsidized fertilizer. Many socio-economic, farm-level characteristics and institutional factors determine cocoa farmers' participation in fertilizer subsidy programme, quantity of subsidized fertilizer obtained and productivity. Beneficiaries of fertilizer subsidy recorded higher cocoa productivity than non-beneficiaries. Hence, fertilizer subsidy for cocoa production in Ghana leads to a gain in productivity.

There should be more investments in fertilizer subsidy so that all cocoa farmers benefit and obtain the required quantities.

The authors provide new evidence on cocoa productivity gain or loss emanating from fertilizer subsidy by combining different impact assessment techniques for deeper analysis: PSM, IPW and AIPW.

This study aims at exploring the choices of livelihood strategies amongst the rural youth and how these choices relate to food security and income poverty.

The study used data from the 2016/17 wave of Integrated Household Living Condition Survey, with a sample size of 1,050 rural youths. Statistical and econometrics methods including descriptive statistics and the Multinomial Endogenous Treatment Effect (METE) model were used to analyse the data.

Livelihood choices were grouped into five categories, namely agriculture, non-farm wage employment, agriculture plus non-farm wage, agriculture plus self-employment and agriculture plus non-farm wage plus self-employment. The estimates from METE indicate that the youths' choice of non-farm wage, agriculture plus non-farm wage and agriculture plus self-employment contributes substantially to household food security improvement and poverty reduction. These findings show that agriculture is necessary but not a sufficient livelihood strategy to sustain the rural youth's contribution to youth's household welfare. The rural youth will pursue agriculture as a reliable source of livelihood not only for food self-sufficiency, but also for ensuring adequate return to labour.

This paper extends single choice analysis to multiple choices impact analysis, which has the advantage of accounting for selection bias due to both observed and unobserved heterogeneity. This paper assesses the differential impact of the choice of single as well as multiple livelihood strategies.

As rural nonfarm activities grow in developing countries, less attention is being paid to the opportunities they may provide for women. The purpose of this study is to examine the gender-differentiated impact of nonfarm diversification strategies in rural Senegal.

This study uses data collected from the Senegalese poverty monitoring survey and employs an instrumental variable (IV) approach and a multinomial endogenous treatment model to investigate the extent to which diversification strategies lead to improved outcomes for rural women and their households.

While nonfarm diversification is a male-dominated livelihood strategy, rural women make the most of it, regardless of whether they diversify into low- or high-return nonfarm activities. At the individual level, diversification improves rural women’s well-being through large income-increasing effects and higher empowerment but has no effect on rural men’s well-being. At the household level, the authors find that, when only women diversify, households have lower per capita income but are less likely to be food insecure than when only men or both genders diversify.

This study is based on cross-sectional data, making it impossible to examine the dynamic effects of nonfarm diversification strategies on well-being outcomes.

This study contributes to the current literature on rural livelihood diversification. While much attention has been paid to the feminization of agriculture, remarkably little is known about the expanding role of rural women in the nonfarm sector.

The purpose of this paper is to understand demographic group (race, first-generation college graduate, gender, age) differences among perceived family and faculty social and family financial support within the US graduate school admissions pipeline in the social sciences.

Using data from a cross-sectional convenience sample survey (N = 99), this paper looks at ordinal social support variables (faculty member support, family social support and family financial support) by demographic groups. This paper uses a Mann–Whitney U test to compare first-generation status, race and gender and a Kruskal–Wallis H test to compare age groups.

This paper finds that applicants over 27 years old had significantly less faculty support in the graduate admissions pipeline compared to other age groups; differences in faculty support across race were marginally significant (p = 0.057). Regarding family social support, this paper finds first-generation applicants, male applicants and applicants over 27 years old report lower levels of support. Finally, this paper finds first-generation applicants and applicants over 27 years old report lower levels of familial financial support.

Previous literature on graduate admissions – published in this journal (Pieper and Krsmanovic, 2022) and others – does not consider experiences up to and before applicants hit the “submit” button on graduate applicants, which the authors term the graduate admissions pipeline. Instead, most previous literatures focus on faculty committees and validity of required application materials. Thus, this study begins to answer Posselt and Grodsky’s (2017) call to develop an understanding of applicant experiences and support within the graduate admissions pipeline.

The purpose of this study is to estimate the housing wealth effect on non-durable consumption using data from the Spanish Survey of Household Finances (Encuesta Financiera de las Familias, SHF) for the period 2002–2017.

The authors aim at identifying the effect of anticipated and unanticipated housing wealth changes on consumption with the sample of homeowners, following Paiella and Pistaferri (2017).

Results of this study lead us to conclude that there exists a strong housing wealth effect on consumption for the Spanish households.

The authors provide evidence against the permanent income model. They also analyse how the results change with income expectations, age and the household indebtedness rate. Finally, they detect a strong excess sensitivity to income.

Although existing literature abounds with actual diversity research, there is scant work on perceived diversity. This research aims to investigate the impact of employees' perception of workplace diversity on job satisfaction and turnover intentions. Further, the research analyses the gender-moderating effect between the hypothesized connection.

Current research work uses a structural equation modeling (SEM) approach to analyze the hypothesized connection with 222 full-time employees working in the Indian service sector.

Study results showed that employees' perception of workplace diversity has a significant negative impact on job satisfaction, while having a significant positive effect on employees' turnover intentions. Moreover, employees' perception of workplace diversity does not vary across gender.

Though research work on perceived diversity is scant and growing at a slow pace, the current study adds to the diversity studies by assessing diversity through employees' perceptions instead of gleaning the actual diversity index.

Nowadays all luxury brands have their own websites, using them either as a communication and/or distribution tool. However, luxury consumers might still have different perceptions regarding these websites, as it can be seen as a loss of prestige or selectivity. This study aims to have a deeper understanding of luxury consumers’ perceptions of luxury brand websites by identifying a typology and defining the individual characteristics of the groups identified.

The research uses the opposition of personal and interpersonal luxury as theoretical framework and the semiotic square based on this semantic opposition. A qualitative analysis based on 42 semi-structured interviews has been conducted. The interviews have been analyzed and subjected to interpretive content analysis.

The analysis of the verbatims shows that the consumers’ motivations toward luxury consumption (luxury for self or personal, luxury for others or interpersonal, negation of luxury for self and negation of luxury for others) can explain consumer differences in terms of attitudes toward luxury brand websites. The four classes are characterized according to their positive and negative perceptions of e-commerce and interaction tools used in luxury brands websites and also their expectations.

This study defines guidelines for managers to develop luxury brand websites that correspond to their target.

The originality of this study lies in the use of the semiotic square to refine the analysis of luxury consumers’ attitudes and to make more precise contributions. It also relies on using the theory of personal and interpersonal luxury to understand consumers’ expectations toward luxury brands websites.

Based on empirical data, this study investigates the intention of BA/BSc students in higher education to either pursue their studies or start working.

This paper analyses how students' attitudes towards higher education and studying (quality of undergraduate education and performance in higher education), as well as the intention to meet labour market needs, influence the decision of pursuing studies in a Master's programme.

The main reason why respondents do not intend to pursue their studies is not because they do not want to work. It is primarily the acquisition of knowledge and the motivation to learn that encourages students to stay in higher education. Moreover, individual performance in Bachelor programmes has no influence on the decision made by students to study or work after graduation.

As for the limitations of the study, the authors have to mention that although the survey is based on data from a single country, the similarity of the international and Hungarian previous research results suggests that similar results would have been obtained in an international sample. Furthermore, the impact of the current ongoing epidemic on the further learning of young people in tertiary education at primary level could not be investigated by the authors.

The bivariate logistic regression results show that the correlation between secure job placement in a field of study and the quality of education is not significant. Furthermore, students are primarily motivated by the desire to learn and acquire knowledge. The reasons can therefore be explored based on the analysis of more detailed data, which could be the subject of a subsequent study.

The authors conducted their research in Hungarian higher education at seven universities between 2019 and 2020 to determine the influencing factors of career choice decisions, the degree of students' satisfaction with their selected course, their attitude towards higher education and learning, their job opportunities after graduation and the extent to which their decision is made according to their labour market orientation. Although the study relies on data from a single nation, the similarity between the findings of previous international (Hovdhaugen and Ulriksen, 2021; Sikyr et al., 2019); and Hungarian (Berezvai, 2022; Kiss and Varga, 2022) research suggests that an international sample would have produced similar results.

Despite the plethora of research into country-of-origin (COO) effects, research that investigates the cognitive structures behind elite consumers' preferences for foreign brands remains limited. Hence, this study aims to investigate the cognitive structures behind foreign brand preference among professional elites in Sri Lanka.

Using the means-end chain (MEC) theory as the theoretical lens and building on the findings of 30 laddering interviews (semi-structured), a survey was conducted among 311 professional elites to uncover the key elements of the cognitive structures behind foreign brand preference.

The findings revealed that the cognitive structures behind foreign brand preference are influenced by a bundle of brand attributes, brand consequences and personal values of elites', which significantly influence their attitudes towards foreign brands. Multi-group analysis further revealed that the relationship between brand attributes and attitudes significantly differs across Chinese and US COOs where the path coefficient is stronger for elites' preference for Chinese brands.

This study is the first of its kind to explore the COO effects on consumer cognitive structures. The findings contribute to MEC theory and shed light on the understanding towards elites' preference for foreign brands.

Manufacturing small and medium-sized enterprises (SMEs) are heading towards smart manufacturing despite growing challenges caused by globalisation and rapid technological advancement. These SMEs, particularly textile SMEs of Bangladesh, also face challenges in implementing sustainability and organisational ambidexterity (OA) due to resource constraints and limitations of conventional leadership styles. Adopting paradoxical leadership (PL) and entrepreneurial bricolage (EB) is important to overcome the challenges. However, these dynamics are less explored in academia, especially in the Bangladeshi textile SMEs context. Hence, the purpose of this study is to investigate the influence of the adoption of smart technologies (ASTs), PL and OA, EB on sustainable performance (SP) of textile SMEs in Bangladesh.

A cross-sectional and primary quantitative survey was conducted. Data from 361 textile SMEs were collected using a structured self-administrated questionnaire and analysed by partial least square structural equation modelling (PLS-SEM).

The statistical outcome confirms that ASTs and PL significantly influence SP and OA. OA plays a significant mediating role for PL and is insignificant for ASTs, and EB significantly moderates among ASTs, PL and SP.

As this study is cross-sectional and focussed on a single city (Dhaka, Bangladesh), conducting longitudinal studies and considering other parts of the country can provide exciting findings.

This research provides valuable insights for policymakers, management and textile SMEs in developing and developed countries. By adopting unique and innovative OA, PL and EB approaches, manufacturing SMEs, especially textile companies, can be more sustainable.

This study has a novel, pioneering contribution, as it empirically validates the role of multiple constructs such as AST, PL, OA and EB towards SP in the context of textile SMEs in a developing country like Bangladesh.