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The study aims to explore the impact of National Health Insurance Scheme (NHIS) enrolment on farm investments in a developing country setting. We classify farm investments into (1) soil and land investments and (2) hired adult labour.

This study used data on 5,883 farm households from the sixth round of the Ghana Living Standard Surveys (GLSS), which is nationally represented data at the household level. The data also includes a Labour Force Survey module. The sample frame was divided into a primary and secondary sampling unit, with interviews taking place in 1,200 enumeration areas (EAs). The estimation of impacts was carried out using ordinary least squares (OLS) estimations and addressed endogeneity concerns using propensity score matching (PSM) and instrumental variable (IV) estimators.

The study finds a strong positive association between the NHIS enrolment status of farm households and investments in agricultural land and soil health improvement. Precisely, farm households who are enroled in the health insurance system tend to invest about 32% more in soil and land improvement activities and 30% more in hired farm labour than households who are not enroled in NHIS.

The overall evidence from our study suggests that instead of high investments in fertilizer and other input subsidy programmes in Africa, sustainable smallholder agricultural investments can be achieved if concerns and issues of farmers’ health coverage are adequately addressed.

This is one of the first papers that have explored the impact of NHIS in developing countries on farm investments.

This study aims to investigate the extent to which the Indonesian conditional cash transfer (CCT), known as the Family Hope Program (FHP), impacts the probability of children engaging in labour activities.

This study utilizes data from the Indonesian Family Life Survey in 2014, focussing on periods following the implementation of the FHP. To estimate the impact of FHP on child labour in Indonesia, the authors employ a propensity score matching strategy to balance the characteristics observed between the participant and non-participant groups.

The estimates show that FHP has no statistical impact on child labour across all matching techniques. This implies that receiving the CCT does not always help poor households decrease the probability of stopping their children from participating in labour activities.

The conditions applied to the beneficiaries, which only require children to attend school without requiring them to stop working, may not effectively address the issue of child labour. The current structure and design of the FHP need to be re-evaluated and improved to effectively combat child labour.

Despite numerous studies examining the impact of CCT on child labour which remains inconclusive in Indonesia, this study contributes to the existing literature by considering children participating in labour activities across all types of work without focussing on specific education levels or regions.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-07-2023-0580

This paper aims to examine the impacts of unstable off-farm employment on the probability and stability of farmland rent-out and explore its mechanisms.

The paper adopts Ordinary Least Squares (OLS), Probit, Tobit, Order probit models with two-way fixed effects to conduct empirical analysis based on the balanced panel data collected in 2016 and 2023 with a national representativeness sample of 1,206 rural households in 100 villages across 5 provinces in China.

The empirical results showed that unstable off-farm employment had negative effects on the probability of farmland rent-out, but it had no effects on the stability of farmland rent-out. The mechanism analysis showed that unstable off-farm employment affected the probability of farmland rent-out by decreasing the probability of purchasing houses in city and endowment insurance with high pension. Heterogeneity analysis indicated that the negative effect of unstable off-farm employment was much larger for the households with higher share of labor engaging in off-farm employment outside home county, elder members in the households and those located in the villages of mountain areas.

This paper is the first to define the unstable off-farm employment from the perspective of incontiguous off-farm employment for several years, which could capture the normality rather than particular case in a certain year of off-farm employment among rural labors. Using these new measurements of unstable off-farmland, this paper examined the impacts and mechanisms of share of unstable off-farm employment on the probability and stability of farmland rent-out.

Children’s finances are increasingly digitised through the emergence and development of a range of finance applications, or apps, for managing chores, saving and spending. This paper aims to offer a preliminary scoping study of these child finance apps in the nascent consumer research area of children’s FinTech.

This paper undertakes a qualitative analysis of the design features and marketing taglines of child finance apps to explore their role in the digitisation of children’s financial literacy, consumer socialisation and economic agency.

The present analysis reveals five key design functions of child finance apps: chore management; child savings; payment and spending systems; parental control features; and banking and finance features. Furthermore, three key child consumer themes emerge from the analysis of these child finance apps: gamification of child household labour; surveillance of children’s consumer participation; and datafication of children’s financial lives.

To date, there is little research into the increasingly popular use of child chore, consumption and financial management apps, and thus a research gap or problem is that we do not yet have sufficient understanding of how finance apps operate through their design and marketing to influence the financial conditions of contemporary childhoods. This study is significant in bringing theories of surveillance, gamification and datafication from digital platform studies to the fields of childhood studies, children’s consumer research and child FinTech studies. The findings suggest that child finance apps use gamification features to encourage children’s financial learning, surveillance features to enable parenting care in children’s financial development and datafication to exploit children’s financial data within the finance industry. This study is clearly limited to the app environment, and so future work should investigate the use and perceptions of these apps in more detail using more situated social research methods with families and children.

This study aims to understand the social cooperative model's empowerment and social cohesion impacts based on the case of a cooperative with the partnership of local and refugee women in southern Türkiye to give evidence for the potential and challenges of women cooperatives.

The authors conducted surveys and focus group interviews with both members and board members. The authors grounded the findings in dimensions extracted from literature on the impact of cooperatives on their members and the wider community.

The social cooperative economically empowers women through employment and income generation, and skill training while enhancing them socially with increased decision-making power, autonomy, self-esteem and respect. It fosters social cohesion between local and refugee members by building trust and peace, solidarity, knowledge sharing and collective action. However, the cooperative faces challenges in managing sustainable business models, and cooperative membership does not ensure a steady income, social security, economic independence or a fairer division of domestic work.

The challenges and limited outcomes of social cooperatives are primarily due to resource scarcity. Hence, these needs must be considered by policymakers and sponsors of women empowerment programmes so that they can offer response actions to empower social women cooperatives. During the research period, the COVID-19 pandemic posed a significant threat to the survival of the cooperative. Moreover, the restrictions imposed by the pandemic made it impossible to engage Syrian women in focus group discussions. Consequently, the focus group interactions were limited to two Palestinian members, while Syrian members were included in survey interviews.

This study is one of the few attempts to examine the social cooperative model’s impact on women’s empowerment and social cohesion in the context of a mixed membership of local and refugee women in Türkiye. Fieldwork evidence on cooperatives that improve gender equality and inclusive growth can contribute to the advocacy of support for women’s cooperatives in the context of refugees.

This study aims to estimate the synergy effect of agricultural dual-scale management (ADM) on farmers' total household income, its heterogeneous effects and its mechanisms.

This study constructs a theoretical analysis framework based on the division of labor and synergy theory, empirically assesses the impact of ADM on farmers' income, and further discusses the heterogeneity and mechanisms using the propensity score matching (PSM) and quantile treatment effect (QTE) models. Data is collected from 1,076 households across 4 cities in Liaoning Province of China in 2021.

ADM can improve the total household income of farmers, and the impact force is greater than that of the single-scale management mode. ADM is more conducive to improving the income of farmers with low income and low labor endowment. Moreover, ADM can improve agriculture production efficiency, increase net grain production income. Nevertheless, it has no significant effect on farmers' off-farm employment income.

Previous studies have mainly focused on the income effect of land scale management or service scale management. To the best of our knowledge, this study is the first to identify the synergy effect of ADM on farmers' income in China. It provides new insights into the process of agricultural production and management mode transitions in rural China.

In the process of making agricultural production decisions in rural households, severe weather conditions, either extreme cold or heat, may squeeze the labor input in the agricultural sector, leading to a reallocation of labor between the agricultural and non-agricultural sectors. By applying a dataset with a wide latitude range, this study empirically confirms the influence of extreme temperatures on the agricultural labor reallocation, reveal the mechanism of farmers’ adaptive behavioral decision and therefore enriches the research on the impact of climate change on rural labor markets and livelihood strategies.

This study utilizes data from Chinese meteorological stations and two waves of China Household Income Project to examine the impact and behavioral mechanism of extreme temperatures on rural labor reallocation.

(1) Extremely high and low temperatures had led to a reallocation of labor force from agricultural activities to non-farm employment, with a more pronounced effect from extreme high temperature events. (2) Extreme temperatures influence famers’ decision in abandoning farmland and reducing investment in agricultural machinery, thus creating an interconnected impact on labor mobility. (3) The reallocation effect of rural labor induced by extreme temperatures is particularly evident for males, persons that perceives economic hardship or labor in economically active areas.

By applying a dataset with a wide latitude range, this study empirically confirms the influence of extreme temperatures on the agricultural labor reallocation, and reveals the mechanism of farmers’ adaptive behavioral decision and therefore enriches the research on the impact of climate change on rural labor markets and livelihood strategies.

This paper seeks to explore the sensitivity of these parameters and their impact on fiscal policy outcomes. We use the existing literature to establish possible ranges for each parameter, and we examine how changes within these ranges can alter the outcomes of fiscal policy. In this way, we aim to highlight the importance of these parameters in the formulation and evaluation of fiscal policy.

The role of fiscal policy, its effects and multipliers continues to be a subject of intense debate in macroeconomics. Despite adopting a New Keynesian approach within a macroeconomic model, the reactions of macroeconomic variables to fiscal shocks can vary across different contexts and theoretical frameworks. This paper aims to investigate these diverse reactions by conducting a sensitivity analysis of parameters. Specifically, the study examines how key variables respond to fiscal shocks under different parameter settings. By analyzing the behavioral dynamics of these variables, this research contributes to the ongoing discussion on fiscal policy. The findings offer valuable insights to enrich the understanding of the complex relationship between fiscal shocks and macroeconomic outcomes, thus facilitating informed policy debates.

This paper aims to investigate key elements of New Keynesian Dynamic Stochastic General Equilibrium (DSGE) models. The focus is on the calibration of parameters and their impact on macroeconomic variables, such as output and inflation. The study also examines how different parameter settings affect the response of monetary policy to fiscal measures. In conclusion, this study has relied on theoretical exploration and a comprehensive review of existing literature. The parameters and their relationships have been analyzed within a robust theoretical framework, offering valuable insights for further research on how these factors influence model forecasts and inform policy recommendations derived from New Keynesian DSGE models. Moving forward, it is recommended that future work includes empirical analyses to test the reliability and effectiveness of parameter calibrations in real-world conditions. This will contribute to enhancing the accuracy and relevance of DSGE models for economic policy decision-making.

This study is motivated by the aim to provide a deeper understanding of the roles macroeconomic model parameters play concerning responses to expansionary fiscal policies and the subsequent reactions of monetary authorities. Comprehensive reviews that encompass this breadth of relationships within a single text are rare in the literature, making this work a valuable contribution to stimulating discussions on macroeconomic policies.

“The latest available cross-country data presented in the PEPPER V Report (Lowitzsch and Hashi, 2024) can be viewed by examining EFP in and of itself as an isolated subject or it can be viewed in a much wider set of contexts. Widening the lens in order to examine EFP in the context of the concentration of capital ownership and the concentration of capital income can help observers establish EFP’s span of relevance. In particular US data on capital income show that policy makers need to be aware that EFP can have an important role in narrowing the income and wealth gap for the working middle class when the concentration of capital ownership and capital income is high and when real wage growth is low.”

“Against this background, this article makes a very straightforward observation that the relevance of EFP in an economic system, in a country, and for the average employee in a country is related to the trend in the concentration of capital ownership and capital income. Interest in the idea is potentially increased or decreased by trends in real wages. Atkinson, who many consider the founder of modern wealth concentration scholarship, “focuses on the increasing share of capital incomes a source of income inequality among individuals” (Cirillo et al., 2017, p. 1). Indeed, we consider the difference between labour’s share and capital’s share to be a critically important fundamental problem of political economy. This essay asserts that when this concentration is high and real wages are flat, other things being equal, EFP may be more relevant. When the concentration of capital ownership and capital income is high, this means that ownership and income on that ownership is thinly spread in the population. When real wages are flat, this means that the rate at which fixed wages can replenish wealth is decreasing. As a result, both trends would make EFP more relevant.”

The conceptual model suggested for this article asserts that the relevance of EFP can be viewed as a function of narrowing income and wealth options for the working middle class when the concentration of capital ownership and capital income is high and when real wage growth is low. Does this relevance change across economic systems? There is no question that the future understanding of these issues requires adding metrics to the statistical methodologies of different regions and countries and adding to existing reports and analyses that focus on both the dynamics of and trends in capital income (property income in the EU) and on the EUR and USD value of EFP at the mean and at the median for different income levels of the population

This article presents – for the first time – a society-wide measure of the impact of EFP on one economy, namely, the US For further research, it makes sense to build on the comparable data available on the distribution of capital ownership and have similar research on the distribution of capital income for both the EU and the US along with measures of the EUR and USD values of EFP.

This study aims to investigate the relationship between Kosovo remittances, migration and labor force participation and seeks to uncover how migration and remittances, often considered separately, interact to shape labor market outcomes across gender, age and education groups.

To analyze the relationship between remittances, migration and labor force participation, this study leverages multivariate probit (mvprobit) to rectify the endogeneity issue intrinsic from remittances and migration. Utilizing this robust methodological approach allows us to circumvent the limitations traditionally associated with biprobit analysis. The research is grounded in empirical evidence from the Millennium Century Corporation survey in Kosovo.

The findings indicate that remittances and migration are pivotal determinants in shaping the contours of labor force participation, particularly influencing disparities across gender, age and educational attainment. Further, this study unearthed intriguing evidence suggesting the disincentivizing effect of remittances on labor force participation, alongside the potentially disruptive influence of prospective migration plans.

The novelty of this work lies not only in the context-specific insights it provides into the socio-economic fabric of Kosovo—an area that has hitherto received limited scholarly attention—but also in its methodological innovation. The simultaneous application of mvprobit technique provides a nuanced approach to tackle the inherent endogeneity issue, thereby pushing the methodological frontiers of the field.