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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

As women perform most household chores and other nonproductive work, gender-based division of labor in the home has now been identified as a barrier to gender equality. The objective of this study is to assess the effects of gender distribution of housework especially for women and investigate the factors influencing the total hours spent on house chores in Bangladesh.

This study adopted a quantitative approach based on survey data obtained from 200 households in the Madaripur and Gopalganj districts of Bangladesh. To analyze the obtained data, the partial least squares (PLS) regression was used.

According to this study, demographic and socioeconomic factors of women, and gender are influencing the total hours spent in housework. Women were observed to have a positive relationship with empowerment but a negative relationship with social perception. Social perception was further observed to have a significant impact on the total number of hours expended by women on house chores.

The study suggests that the importance of sharing the burden of household work be taught in schools and community-based awareness programs so that it becomes ingrained as a social and cultural practice. Furthermore, the government should conduct a proper assessment that recognizes unpaid housework by women as an important factor in inclusive sustainable development.

Issues of inequality in the division of labor in household activities are barely recognized in Bangladesh. Therefore, this study collected primary data to assess the effects of gender on the distribution of housework. The findings of the study will help policymakers and academicians to better understand the gender-based division of household labor.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2023-0195.

The results of this study have significant policy implications for charting a new course toward enhancing agricultural productivity among Chinese farmers.

By establishing a rural household decision-making model based on the transfer market of farmland operation rights, this paper systematically analyzes the effects of land transfer-in and land transfer-out on the productivity (per labor income) of rural households. The authors conducted basic regression analysis and robustness tests using propensity score-matching and proxy variable approaches based on the micro survey data from rural households in 30 counties in 21 provinces/municipalities/autonomous regions in 2013.

After the completion of land transfer, the total productivity of rural households transferring in lands will increase with an increase in the agricultural productivity; the total productivity of rural households transferring out land will increase due to a rise in non-agricultural productivity and the absolute total productivity of rural households not involved in land transfer will remain unchanged.

Unlike previous literature, this paper discusses the impacts of land transfer-in and transfer-out on total productivity, agricultural productivity and non-agricultural productivity among various rural households (i.e. those transferring in land, transferring out land or which are self-sufficient).

The outbreak of covid-19 has affected international migration and remittance and has also narrowed down the opportunities for internal labor migrants. The pandemic has also left internal migrants in a threatening situation due to the closure of job opportunities. Taking the migration of labor from the highland toward the sesame production belt into consideration, this study aims to examine the influencing factors of migration to the sesame belt amid covid-19 and ascertain the link between migration and translocal vulnerability.

The study followed a mixed approach that combines quantitative and qualitative methods. However, the quantitative approach tends to dominate due to the nature of the objectives of the study. The study was conducted in the central Gondar zone, using a cross-sectional survey design with a sample size of 150 households collected from January to March, 2021. Both descriptive and econometrics models such as binary logit model have been used.

Based on the study result, we came to understand that migration is part and parcel of the livelihoods of the farm household that accounts for 35% of migration status amid covid-19. Particularly, the study came to conclude that households’ decision to send family members heavily relied on their prior information and fear of transmission of the coronavirus to family members which are statistically significant. As a result, this piece of work can be a good witness for translocal vulnerability where studies are very limited in the area. For this, this study suggests that concerned bodies like social and labor affairs in consultation with the agriculture offices and bureaus at a different level and the investors in the migrant’s destination should facilitate the protection and awareness mechanisms so that the spread of covid-19 can be minimized and thereby both the migrants and the investors can be benefitted from the migrants’ work amid covid-19.

This study tries to connect the current spread of covid-19 with the translocal vulnerability context. Primarily, it empirically argued the translocal vulnerability factor is the main determinant for the farm households to send families’ labor as a livelihood diversification strategy. Very limited studies consider the translocal vulnerability implication of migration; notably to the best of the researchers’ knowledge, studies that linked covid-19 with translocal vulnerability context are scant. On top of that, many studies that link migration with covid-19 tend to be inclined to international migration with very limited attention to internal migration.

Relationships have changed dramatically in the last 50 years. Fewer couples are marrying, more are cohabiting. Reasons for this shift include more attractive labor market opportunities for women and changing social norms, but the shift may have consequences of its own. A number of models predict that those cohabiting will specialize less than those marrying. Panel data on time use – particularly housework time – as well as on the degree of specialization in more narrowly defined household tasks from the 2001–2019 waves of the Household, Income and Labour Dynamics in Australia survey are used to test this prediction.

The time use data for men provides only limited supporting evidence for specialization. The results for women are much stronger. Women who marry without first cohabiting increase their reported housework time more than those who enter cohabitations (by 3.7 hours versus 1.2 hours). The latter generally make up a third of the difference if they do marry. Expanding the analysis to other uses of time yields some further evidence of specialization.

Survey responses on the degree of specialization are more informative. The raw data show substantial intrahousehold specialization and further analysis reveals that on average married couples specialize more than cohabiting couples. Adding couple-specific fixed effects reveals that specialization increases when cohabiting couples marry. Interestingly, there does not appear to be a substantial tradeoff between tasks; partners who report specializing more on one task are more likely to report specializing on other tasks as well. Given the important roles couples have in family formation and the labor market, it is important to understand this intrahousehold behavior.

This study aims to investigate the adaptation strategies they practice and the factors that influence their use of adaptation strategies.

The mixed-method sequential explanatory design was used to triangulate the data collected. Multistage sampling was used to select 400 sampled households for household surveys. Eight focus groups, each with eight to ten participants, and 24 key informants, were specifically chosen based on their farming experiences. Chi-square tests, one-way ANOVA and a binary logit model were used to analyze the data.

The majority of farmers used simple and low-cost adaptation strategies like changing planting dates, selling livestock and off-farm and nonfarm work. A minority of farmers used advanced adaptation strategies like crop diversification and water harvesting for irrigation. The result further revealed that: the age of the household head, educational status of household heads, farm size, livestock ownership, farming experiences, household income, access to credit and access to climate information significantly influenced the adoption of the adaptation strategies. Public policy should provide water harvesting and irrigation technology, climate-related information and the provision of microcredit facilities to enhance the farmers’ resilience to climate change risks.

Although several studies on climate change adaptation strategies are available, this paper is one of the few studies focusing on a particular agro-ecological zone, an essential precursor to dealing with current and projected climate change in the area. It provides helpful insights for developing successful adaptation policies that improve adaptive capacity and agricultural sustainability in southern Ethiopia’s lowlands.

This paper is a dedication to Professor Ngo Van Long who introduced the idea of Kant–Nash equilibrium. The author extends this analysis to the study of adult and child labor markets.

This is a game theoretic analysis of the market for adult and child workers when some firms behave in the neoclassical Nashian way and some firms follow a Kantian social norm.

The presence of Kantian firms in the output market in addition to Nashian lowers industry output and labor demand. This raises the possibility that Kantian behavior in the output market could lower wages sufficiently and increase the incidence of child labor. If firms engage in Kantian behavior in the labor market by not hiring child workers, adult wage rises but could lower child wage as children if they work can only work for Nashian firms. When labor demand is sufficiently high, more Kantians could raise adult wage above subsistence and eliminate child labor supply.

This is the first paper to apply Kant–Nash equilibrium to the labor market. The result that Kantian behavior could have an unintended negative spillover effect in other markets is new. The paper keeps alive the ideas of Professor Long, which hopefully will stimulate further work and build on his ideas.

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.

Access to formal financial services is one of the main obstacles to the adoption of agricultural technologies such as Sustainable Agricultural Practices (SAPs). In order to increase financial inclusion and lessen farmers' liquidity restrictions, Village Savings and Loans Associations (VSLA) are being promoted in rural farming communities. However, there extent to which VSLA contributes to the acceleration of agricultural practices, such as SAP, remains little explored in existing literature. The objective of this study was to quantitatively assess the impact of VSLA on the intensity of adoption of SAPs.

This study used cross-sectional data from 376 farming households in the East Gonja district of Ghana. An Endogenous Poisson Treatment Regression (EPTR) was applied to correct for self-selection bias that might emanate from both observed and unobserved differences in household characteristics.

The empirical results indicated that farmers' engagement in non-farm economic activities, ownership of land and size of agricultural land under cultivation positively and significantly influence the intensity of SAPs adoption. Moreover, participation in VSLA improves the adoption of SAPs, and that VSLA-participants adopted about three more SAPs than they would have if they did not participate in VSLA.

This study re-affirmed the significance of VSLA in rural farming communities and recommend that it should be promoted as an alternative to formal financial services to enhance financial inclusiveness, and consequently boost the uptake of SAPs.

In the search of literature, this study is the first to estimate the impact of VSLA on adoption of SAPs. The use of EPTR helps to bring out the true treatment effects of VSLA on SAPs.

This paper aims at understanding the causes of low adoption of hybrid rice technology. The paper also assesses the impact of adoption of hybrids and modern varieties on crop yield, vis-à-vis the old or traditional varieties.

Using unit-level data from a large-scale survey of farm households (19,877 paddy cultivators), the authors applied multi-nomial regression method to understand the factors for adoption of hybrid rice and instrumental variable method of regression to estimate its impact.

The findings demonstrate that in India, hybrid rice is often grown on relatively poor soils, resulting in greater irrigation costs and for other inputs, such as fertilizers. Further, farmers' poor access to information on the traits of hybrid rice and the associated agronomic practices, as well as poor access to financial resources, hampers efforts to scale up its adoption. More importantly, the findings reveal that the relative yield advantage of hybrids over open-pollinated modern varieties is not large enough to incentivize the rapid adoption of hybrid rice technology.

Given the higher cost of hybrids than the inbred varieties, enhancing paddy cultivators' access to financial resources can accelerate the adoption of hybrid rice in India.

The study is based on unit level data from a large-scale, nationally representative survey of farm households, comprising a sample of 19,877 paddy cultivators, spread across states in India.