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The study aims to identify the perceived authenticity of cheeses by consumers of different sociological generations in Mexico.

An online questionnaire was applied to 1,204 consumers. A Free Word Association (FWA) tool was used to determine the perceived authenticity of cheeses creating categories and dimensions. The sample was segmented into sociological generations. A chi-square test and a correspondence analysis were used to identify differences in the perception between generations. The information was complemented with word clouds of the cheeses mentioned and consumer testimonials about cheese consumption.

A total of 29 categories and ten dimensions revealed consumers' perception of cheese authenticity, most important of which were hedonic, rurality and new consumption. Authenticity is a mix of the pleasure of consuming the product, the link to rural life and new consumer values. Perceived authenticity is different in each sociological generation according to the dimensions of raw material, identity, market, new consumption and distrust, since it is related to the experiences of each generation. The results made it possible to contextualise another vision of the reality of the cheeses in the search for a quality seal.

The information contributes to the typification and promotion of cheeses in the process of patrimonialisation, by creating differentiated marketing tools that allow their valorisation.

This work contributes to the knowledge of the perceived authenticity of cheeses in the sociological generations, due to their differentiation by age, sociocultural, ethical, political and consumer aspects. It enables the knowledge of the consumer's perspective on these products.

The purpose of this study was to show how pro-gender public policies in the agricultural sectors can contribute to the reduction of gender inequalities in the labour market and the diversification of the Congolese economy.

Computable general equilibrium model that has been adapted to the Congolese economy from the Democratic Republic of the Congo (DRC)'s SAM.

The results reveal that policies of increasing women's land allocation and government cash transfers to rural female households contribute to the reduction of inequalities in the labour market. However, only the policy of increasing women’s land allocation improves economic diversification.

The implementation of the policy of government cash transfers to rural women's households comes at a cost to the government. Future studies to look at the most effective mode of financing for this policy. Moreover, the policy of increasing women's land allocation is feasible in the DRC as there is a lot of unused arable land available.

In Pillar 1 of the National Strategic Development Plan (PNSD) on Economic Diversification and Transformation, the policy of increasing land allocation to women could be added to the objectives related to strengthening the contribution of agriculture to economic growth and employment creation. In Pillar 3 of the PNSD on Social Development and Human Resource Development, the policy of increasing land allocation to women as well as the policy of increasing government transfers to female rural households could be added to the objectives related to the promotion of employment of youth, women and vulnerable groups.

To the best of the authors’ knowledge, this is the first study of its kind for the DRC, which highlights the impact of pro-gender policies on women's employment, particularly in the agricultural sectors and in the diversification of the Congolese economy. This study contributes to policy orientation in DRC. The two policies (increasing land allocation to women and cash transfers to rural women) analysed in this study were chosen in light of the DRC's National Strategic Plan, the first phase of which focuses on promoting employment for vulnerable groups and economic diversification through the development of agricultural sectors.

Personal remittance and ready-made garments (RMG) export incomes have emerged as the largest source of foreign income for Bangladesh's economy. The study investigates their impact on income inequality and gross domestic product (GDP) as a control variable, using time-series yearly data from 1983 to 2018.

It employs the Autoregressive Distributed Lag (ARDL) estimation and the Toda-Yamamoto (T-Y) causality approach. The ARDL estimation outcomes confirm a long-run association among the above variables and validate the autoregressive characteristic of the model.

Personal remittances positively contribute to reducing the income gap among the people of the society and declining income inequality. In contrast, RMG export income and economic growth contribute to further income inequality. The T-Y causality analysis follows the ARDL estimation outcomes and authenticates their robustness. It reveals a feedback relationship between remittance inflow and the Gini coefficient, unidirectional causalities from RMG export income to income inequality and economic growth to income inequality.

The finding has important policy implications to limit the income gaps between low and high-income groups by channeling incremental income to the lower-income group people. The policymakers may facilitate further international migration to attract further remittances and may upgrade the minimum wage of the RMG workers.

The study is original. As far as the authors' knowledge goes, this is a maiden attempt to investigate the impact of personal remittances and RMG export income on income disparity in the case of Bangladesh.

The farm sector is crucial for rural poverty alleviation, alongside the non-farm sector, which contributes to mitigating risks associated with crop failures. This paper investigates the effects of public policies on productive employment within both the farm and non-farm sectors in sub-Saharan Africa.

A meta-analysis is conducted exclusively on the results of the Partnership for Economic Policy (PEP)-funded studies under the Policy Analysis on Growth and Employment (PAGE II) initiative. Selected studies focused on the impact of public policies on productive employment in rural farm and non-farm sectors, encompassing a total of nine sub-Saharan Africa countries in: Benin, Burkina Faso, Cote d'Ivoire, Democratic Republic of Congo, Ghana, Lesotho, Nigeria, Senegal and South Africa.

The results indicate that public investments in rural areas and public policies that facilitate access to productive resources are likely to enhance productive employment. The overall effect size is positive and significant, ranging from 2% to 10% increases in productive employment. Sources of variation include the sector of activity and the policy instrument. In addition, the policy effects are gender-sensitive and seem more consistent in the non-farm sector.

Although the selected working papers addressed several aspects of productive employment, other aspects warrant further investigation. Policies involving restrictions or regulations have received little attention in the impact analysis. Researches to fill this gap would be important. Another suggestion for further research is the analysis of the relative importance of non-farm employment in rural areas in developing countries. It is always assumed that rural households depend heavily on agriculture for their subsistence.

The contribution of the paper lies in the comparative analysis of numerous public policies implemented in nine distinct countries. By consolidating data from fourteen 14 different experiences into a single study, the paper offers valuable insights on factors that determine policy effectiveness and contribute to understanding what worked for whom and why.

This paper aims to provide new insights into and offer potential solutions to the challenges encountered by mental health services working with remote, rural or underserved communities in the UK.

In this paper, the authors reflect on the utility of integrating conventional clinical approaches, with preventive care and empowering work within the community, to provide culturally sensitive and accessible mental health services. The authors describe an example of community intervention from a mental health service in Ghana designed to enhance reach within remote and rural communities and identify potential lessons for practice in the UK.

The partnership between community mental health services and the rural communities, including families and existing social frameworks, applies collaborative care to overcome the lack of resources and facilitate the acceptability of mental health services to the local population. There are a series of important lessons from this experience including the importance of understanding the culture of a community to optimise reach and the importance of working IN the community and WITH the community.

This paper is novel because it provides learning from a model of care applied in the global south that has potential for implementation with underserved populations in the UK. The authors suggest a reframing of the notion of community care to encompass existing frameworks of community, not merely a biomedical conceptualisation.

Despite a reduction in poverty the global population in 2015, the incidence of poverty remains very high in Sub-Saharan African countries. Most of the countries in the region are agrarian, with most of their population residing in rural areas, and a majority of the poor in the region are found in Nigeria. This study examined the nexus between participation in nonfarm enterprises (NFEs) and poverty among rural farm households in Nigeria and across the six geopolitical zones.

The Nigerian Living Standard Survey (NLSS) conducted in 2018–2019 by the National Bureau of Statistics was used. We made use of 13,440 farm households with useful information for the purpose of this study. The sample comprises 6,885 households that participated in NFEs and 6,555 nonparticipating households. The data were analyzed with Foster, Greer, and Thorbecke (FGT) (1984) metrics, probit, and fractional probit models at p = 0.05.

The incidence of poverty was lower among the participating households than in the nonparticipating households. Participation in NFEs had a mitigating effect on poverty. We also established that zonal differentials in poverty rates exist among households in all the analyses. Participation in NFEs was influenced by individual, household, and institutional factors and was also able to explain the depth of poverty among the respondents.

It is suggested that poverty alleviation policies should be targeted at improving access to nonfarm economic activities by rural farm households residing in vulnerable geopolitical zones.

This study is the first attempt to profile household poverty based on the type of NFEs they are involved in. The study also provides an insight into the effect of the state of residence on zonal poverty models, which is expedient if the country must achieve Sustainable Development Goal 1 on the eradication of poverty everywhere.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2023-0493

The objective of this study is to examine the moderating effect of microfinance on the digital divide in developing countries.

On the methodology, the econometric method employed to estimate the equation is based on the two-stage least squares (2SLS).

This study confirms that microfinance can play an important role in mitigating the adverse effect of digitalization on poverty.

Thus, governments should prioritize and encourage the integration of digital technologies with robust microfinance systems to effectively combat poverty, given the importance of microfinance.

Given the importance of digital technology to businesses and economic development, we need to search for a better solution that allows digital technology to be further developed but at the same time, is not harmful to the poor. The issue of the poor, either financially or technically can be partially resolved if the poor is given the necessary and sufficient assistance. Therefore, this paper examines whether microfinance can be part of solutions to the digital divide in developing countries.

This study examines the effect of digitalization on poverty and income inequality in developing countries. The study answers the question of whether digitalization is a way for developing countries to get out of poverty and income inequality.

The study uses data from 17 developing countries with data from 2005 to 2021. The study employs fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS), with an augmented mean group (AMG) for robustness. Digitalization, as the variable of interest, is proxied by the digitalization index (DI), constructed using principal component analysis (PCA). The dependent variables are poverty and income inequality, which are used in different models.

The evidence indicates that digitalization decreases poverty and income inequality in developing countries. These findings are justified when we use the AMG estimator, but the strength of the coefficients and significance levels are higher in the FMOLS and DOLS estimators. The results of the control variables also show that human development (LHDI), CO2 emissions and foreign direct investment (FDI) have decreasing effects on poverty and income inequality. Thus, digitalization is a good option for developing countries to get out of poverty and income inequality to achieve sustainable development goals (1&10).

This study provides rigorous empirical evidence on the effect of digitalization on poverty and income inequality in developing countries. Unlike the previous studies on developing countries, this study used a DI to proxy digitalization. In addition, the authors use FMOLS and DOLS estimators, with an AMG estimator for robustness, to provide long-run coefficients.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2023-0586

Village health volunteers are community health volunteers in Thailand that have helped the government deliver public health services for many years, particularly during the coronavirus disease 2019 (COVID-19) pandemic. Though labeled as “volunteers,” the village health volunteers are recruited, trained and supervised in a manner similar to how a government agency recruits, trains and supervises its street-level bureaucrats (SLBs). This study examines the two factors that affect how these street-level quasi-bureaucrats use their professional discretion: transformational leadership and public service motivation (PSM). Transformational leadership means a leadership style that develops, shares and sustains a vision to elevate SLBs to higher levels of performance, while PSM is defined as an SLB’s predisposition to make a difference by working in the public sector with a sense of calling. This study attempts to analyze the mediating role of psychological empowerment in the relationship between transformational leadership, PSM and professional discretion.

The paper uses a three-wave survey-based quantitative method to avoid common method biases. This method provides evidence gathered from 105 subdistrict health promotion hospitals and 798 village health volunteers (VHVs) in five provinces in Thailand.

PSM and transformational leadership influence the village health volunteers' use of professional discretion indirectly through the psychological empowerment mechanisms that make them feel positive toward their village health volunteer role and responsibility. The authors' findings suggest that the hospital directors' transformational leadership induces the village health volunteers' use of professional discretion by making them feel competent to do their work and feel fulfilled and valuable about their work. Similarly, the village health volunteers' PSM leads them to use professional discretion by making them feel fulfilled and valuable and by convincing them of the social and community impact of their work.

While existing research focuses on VHVs' role in alleviating capacity constraints on the health care system, this study revealed an equally important role played by hospital directors. These directors' transformational leadership was instrumental in enhancing VHVs' psychological empowerment – particularly their perceptions of the meaning of their work and their competence – that ultimately enabled them to use professional discretion in their work. This study also highlighted the importance of VHVs' PSM, which leads to their use of professional discretion via the meaning and impact dimensions of psychological empowerment. Based on this study, PSM should also be incorporated into the community health volunteers' recruitment criteria. Also, public health agencies should consider including transformational leadership in the hospital directors' training programs and their promotion criteria.

As VHVs' high-PSM level was found to enhance their professional discretion, the process of recruiting ordinary citizens to serve as community health volunteers should incorporate assessment of the candidates' PSM. Also, the Ministry of Public Health should design and assign tasks that citizen volunteers, particularly VHVs, consider meaningful and at which they feel competent.

Aside from technical training, directors of the subdistrict health promotion hospitals should regularly receive soft skill training (i.e. leadership training) and transformational leadership characteristics should be included in the government criteria for promotion.

While past research has examined the impact of other leadership styles on psychological empowerment, this study took a further step by examining the mediating effects of psychological empowerment on the relationship between transformational leadership and professional discretion among VHVs. The authors analyzed the mechanism linking PSM to the VHVs' professional discretion. In addition, by examining the relative importance of different dimensions of psychological empowerment, this study offers a nuanced understanding of the psychological processes by which transformational leadership and PSM shape the SLBs' use of professional discretion in their work.