Household Head Characteristics Research Articles

Prevalence, Trend, and Correlates of Child Fostering in Nigeria, 2008–2018: Findings from a National Survey

Nigeria’s young population has implications for child living arrangements, such as fostering, where children live in non-biological households for various reasons. Despite documented issues, there’s a lack of contemporary evidence on this practice to guide interventions. To address this, we investigated child fostering’s level and correlates by analyzing the Nigerian Demographic and Health Survey data from 2008 to 2018 (n = 71,975) using bar charts and binary logistic regression. Child fostering rates were 5–6% over the decade and can be consistently linked to demographic and socioeconomic characteristics of mothers, children, and household heads. The study discusses the implications of these findings.

Food Insecurity and Nutritional Inadequacy in Children and Adolescents of Basic Education Schools of Cantagalo District in São Tomé and Príncipe, Central Africa.

Food insecurity (FI) is a critical socioeconomic and public health problem globally, particularly affecting children's nutritional status and development. This cross-sectional study aimed to assess the prevalence of nutritional inadequacy among children and adolescents in the Cantagalo district of São Tomé and Príncipe (STP), in Central Africa. It also assessed their households' FI situation and examined sociodemographic, anthropometric, and nutritional characteristics associated with severe FI. Data included 546 children/adolescents (51.8% males, aged 9-15 years) from the eight public basic education schools. A structured questionnaire provided sociodemographic data, while anthropometric measurements assessed nutritional status. Dietary intake data were gathered using a single 24 h dietary recall, and the adjusted prevalences of nutritional inadequacy were obtained using version 2.0 of the PC-Software for Intake Distribution Estimation (PC-SIDE®). The Household Food Insecurity Access Scale was used to assess FI, and households were classified as severely or non-severely food insecure. Multivariable binary logistic regression models adjusted for potential confounders identified factors related to FI. Children's/adolescents' thinness was exhibited in 34.1% of participants, and over 95% had inadequate intake of essential micronutrients, including iron. Notably, 73.7% were severely food insecure. A higher severity of FI was positively associated with a lower intake of iron and certain household head characteristics, such as being female or older, and negatively associated with having a home garden.

Farm Household Head Characteristics and Perceptions of Factors Related to Sustainable Management of Fogera Wetlands in Five Kebeles of South Gondar, Ethiopia

Policies regulating common-pool resources (CPR), such as wetlands, should take into account community socio-economic realities and community perceptions. The study aims to examine whether policies regulating common-pool resources, such as wetlands, should take into account community socio-economic realities and community perceptions. Specifically, it characterized Ethiopian farm households in the Amhara Region and household-head perceptions of six factors related to sustainable wetland management. Surveys were given to 385 respondents from five administrative units or kebeles (kebele is the smallest administrative unit). Focus-group discussions followed. All respondents were Orthodox Christians, and men constituted 93% of household heads. Kebeles differed significantly for household-head age and education, but overall education level was low. Most households had three or four children. Overall, the mean farm area was 0.89 ha, but within kebeles, mean areas ranged from 1.35 to 0.80 ha. Kidest Hana was the most successful kebele for farm size and yield. Significant differences existed among kebele farms for percentages of harvested crops sold, suggesting some were less food-secure. Data suggested male household-head farms had twice the area of female-head farms, older household heads had more land than younger ones, heads with more education had more children, and married heads had more land than divorced or unmarried heads. None felt that people outside their kebele should access their natural resources. Overall, 85% thought land ownership was communal, and 15% thought it was private. A plurality (44%) did not know who oversaw land management. None knew of any organizations working on sustainable wetland management, but most (75%) wanted to attend meetings on the subject. No farm used mechanized agriculture. Most (87%) had not abandoned alternative crops to produce more rice. Therefore, as a conclusion, every effort needs to be taken to address this socio-ecological and development challenge that faces Fogera wetlands and larger national and international impacts to achieve balanced and sustainable development. Hence, our study highlights the need for better education, leadership, and policies regarding sustainable wetland management.

Participation in land rental and labor markets and agricultural economic performance of banana farmers in China

The emerging marketization of agricultural factors allows farmers to expand agricultural production by renting in farmland from land rental market or purchasing services through labor market. Farmers’ transactions in the two markets can stimulate the agricultural transformation in developing countries, but may increase their financial burden in agriculture. Based on the primary data collected from banana farmers in China, this study attempts to clarify farmers categories based on their different choices regarding participation in land rental and labor markets for agricultural production, analyze the determinants of farmers’ simultaneous participation in the two markets, and explore heterogenous effects of farmers’ market participation on agricultural economic performances using the multinomial endogenous switching treatment regression model. The results show that farmer’s tie to retailers is highlighted as an important driving force behind farmers’ simultaneous participation in the two markets, while their participation choices are also varying due to different household head characteristics and family resource endowments. Farmers who participated in the two markets significantly reduce the cost of material input in agricultural production, but the total production cost of participants is higher than that of non-participants due to the high rent of land resource and cost of hired labor for production services. Interestingly, farmers’ participation in land rental market increases the yield of their farms, while participation in labor market has a negative impact on the yield. Farmers’ participation in both land rental and labor markets can significantly increase farm net income by nearly 67 %. In contrast, participation in labor market decreased farm net income by 22 %, whilst participation in land rental market increased farm net income by 186 %, though without statistical significance. The findings underscore the important role of land rental markets in boosting farm economic performance. Policymakers can facilitate land transfer among smallholder farmers in the land rental market and promote agricultural technologies to substitute labor force so as to reduce the adverse effect of labor market, thereby improving agricultural economic performances in developing regions.

Factors associated with financial risk due to health spending in Argentina.

This article aims to assess the association between household demographic and socioeconomic characteristics and catastrophic health expenditure (CHE) in Argentina during 2017-2018. CHE was estimated as the proportion of household consumption capacity (using both income and total consumption in separate estimations) allocated for Out-of-Pocket (OOP) health expenditure. For assessing the determinants, we estimated a generalized ordered logit model using different intensities of CHE (10%, 15%, 20% and 25%) as the ordinal dependent variable, and socioeconomic, demographic and geographical variables as explanatory factors. We found that having members older than 65 years and with long-term difficulties increased the likelihood of incurring CHE. Additionally, having an economically inactive household head was identified as a factor that increases this probability. However, the research did not yield consistent results regarding the relationship between public and private health insurance and consumption capacity. Our results, along with the robustness checks, suggest that the magnitude of the coefficients for the household head characteristics could be exaggerated in studies that overlook the attributes of other household members. In addition, these results emphasize the significance of accounting for long-term difficulties and indicate that omitting this factor could overestimate the impact of members aged over 65.

Unveiling determinants of household lighting preferences in rural Tanzania: insights for sustainable energy access

This paper investigates the determinants and prospects of household lighting choices in rural Tanzania using a Multinomial Logit Regression Model. The analysis is based on data from 4671 households, focusing on three lighting options: electricity, solar energy, and candle lighting. The results reveal significant factors influencing these choices, including household head characteristics, household size, marital status, education, employment status, number of rooms, and income. Key findings indicate that the age of the household head negatively influences the likelihood of choosing grid-electricity, while having a male head of household significantly reduces the probability of opting for any lighting option. Larger household size is negatively associated with choosing electricity and candle lighting. Marital status shows that married households are more likely to use candle lighting. Employment status positively impacts the likelihood of adopting all three lighting options, with employed household heads being more likely to choose modern lighting solutions. Income levels are crucial, as higher income significantly increases the probability of selecting electricity and candle lighting, but not solar energy. These findings provide valuable insights for policymakers and stakeholders aiming to enhance sustainable energy access in rural Tanzania. It highlights the importance of addressing socio-economic factors to promote the adoption of modern and sustainable lighting technologies.

Prevalence and determinants of household medicine storage in Vietnam: A community-based cross-sectional study.

The COVID-19 pandemic has significantly impacted individual health, potentially increasing the demand for home medicine storage. However, inappropriate household medicine storage can lead to drug waste and unnecessary hazards. This study aimed to explore the prevalence of and identify the factors that predict medicine storage in Vietnamese households. A community-based cross-sectional study was conducted with 800 households in Danang, Vietnam. A multi-stage sampling method was applied in this study. The data collection tool was modified from previous studies and consisted of three sections: household head characteristics, household characteristics, and medicine storage practice. Bivariable and multivariable binary logistic regression analyses were used to identify the factors influencing medicine storage at a p-value of less than 0.05. Among 800 households surveyed, 71.6% stored medicine. Analgesics-antipyretics were the most common type of medicine stored (80.8%). 90.1% of households obtained their medicines from private pharmacies, 68.1% of households stored medicine for future use and 58.8% had a home medicine cabinet. 9.4% of households did not store medicine in the appropriate packaging and 19.4% of households did not check the expiry date of their medicine. Educational level (AOR = 2.74; 95% CI = 1.84-4.06), income (AOR = 11.38; 95% CI = 1.46-88.79), presence of chronic illnesses (AOR = 12.44; 95% CI = 7.20-21.21), presence of children (AOR = 2.36; 95% CI = 1.56-3.58), presence of healthcare professionals (AOR = 2.14; 95% CI = 1.28-3.56) were predictors of the medicine storage. The current study found a high prevalence of household medication storage and some inappropriate storage behaviors. Therefore, attention should be given to develop effective interventions and policies to promote safe and appropriate storage practices.

Households’ Socioeconomic Assessments and Effects on Purchasing Decisions of Rice Types in Oyo State, South-West Nigeria

Consumers' purchasing decisions are influenced by their demographic and socioeconomic factors. This study analyzed the effects of socioeconomic characteristics of rice-consuming household heads on purchasing decisions among alternative rice types in Oyo State, Nigeria. A multi-stage sampling procedure was used to select 174 household heads, and data from the sample were collected through a structured questionnaire. Both descriptive statistics and multinomial logit regression were used to analyze the data. Findings show that many rice consumers have formal education, and their preference for various types of rice is highly heterogeneous. Ease of rice preparation is the most important reason for opting for imported rice. The low preference for brown local rice was mainly due to high prices, perceived poor quality, and lack of knowledge about its health benefits. Households’ choice among alternative rice types was significantly determined by marital status, total expenditure, educational status, rice market price, and access to credit. Households’ socioeconomic characteristics strongly influence the types of rice purchased. The differential effects of households’ total expenditure, education, and market prices on the choice of rice types should be taken into account when developing rice interventions aimed at changing dietary habits. In addition, policies and programmes for developing the rice sector and good consumer health should involve reorienting people's values and educating them on the best types of rice. The findings can also be used for proper policy options to address the price of the local nutritious brown rice, expand its production and ensure its full commercialization from possible export.

Risk Management Effects of Insurance Purchase and Organization Participation: Which Is More Effective?

Insurance purchase and organization participation in risk management is of great practical significance for stabilizing agricultural production and household income. The aims of this study were to analyze farm households’ choices of insurance purchase and organization participation, and their effects on crop revenue and its higher-order moments using the multinomial switching endogenous regression (MESR) model. The results showed that the adoption of insurance and organization was significantly affected by household head characteristics, farm household characteristics, and cropland attributes. Insurance purchase, organization participation, and their joint adoption contributed to the increase in crop revenue and decrease in crop revenue variance, and the benefits were larger when adopting two risk management tools in combination. When skewness was taken into account in risk management analysis, insurance purchase, organization participation, and their joint adoption resulted in a reduction in the probability of crop failure, of which, participating in organizations was the most effective. Efforts should be put forth to improve the functioning and effectiveness of agricultural insurance and organization to promote the adoption of risk management tools.

The factors impact to resilience capacity after natural disasters of rural households in Vietnam

This research analyzes the factors that affect resilience after natural disasters of 997 households in rural areas of Vietnam in 2008, 2010, 2012, 2014, and 2016 by using logistic regression. The research results show that factors such as receiving timely warnings related to natural disasters, not taking measures to respond to natural disasters, and putting trust in the community will improve resilience after natural disasters. If the household head is of Kinh ethnicity and participates in community organizations, the response capacity whenever a disaster occurs is higher, and vice versa. Additionally, household heads not responding to natural disasters, instead receiving support from their relatives and friends and borrowing capital positively affect resilience capacity after one year since the disaster. In cases where Kinh women are household heads and join social communities, the resilience capacity after one year also increases. Besides, the research suggests some solutions to develop resilience capacity, which focus on the relationship between characteristics of households, household heads, and disaster response with the resilience capacity of rural households in Vietnam. Finally, this research proposes some suitable policies to improve resilience capacity in Vietnamese rural areas.

The effect of poverty on the relationship between household education levels and obesity in U.S. children and adolescents: an observational study

Although ample evidence has shown the link between childhood obesity and socioeconomic status including family income and household education levels, the mediating role of poverty in the association between household education levels and childhood obesity is unclear. This study aimed to quantify the extent to which family poverty levels contribute to the association between household education levels and obesity among US children and adolescents. This cohort study used the nationally representative data of 21,754 US children and adolescents aged 6-17 years (National Health and Nutrition Examination Survey 1999-2018). We applied mediation analysis of the association between household education levels (less than high school, high school, and college or above) and obesity mediated through poverty (≤138% vs. >138% federal poverty level), adjusting for demographic characteristics of household head and their offspring. Obesity was defined as age- and sex-specific body mass index in the 95th percentile or greater using the 2000 Centers for Disease Control and Prevention growth charts. Among 21,754 children and adolescents (weighted N=43,544,684; mean age, 11.6 years; female, 49%), 9720 (weighted percentage,33.0%) were classified as living in poverty and 4671 (weighted percentage,19.1%) met the criteria for obesity. Low household education level (less than high school) showed increased risks of poverty (adjusted relative risk [95% CI], 5.82 [4.90-6.91]) and obesity (adjusted relative risk [95% CI], 1.94 [1.68-2.25]) compared to high household education level (college or above). We also quantified that poverty mediated 18.9% of the association between household education levels and obesity among children and adolescents. The mediation effect was consistently observed across age, gender, and race/ethnicity. Poverty mediated the association between the low educational status of household heads and their offspring's obesity. Our findings highlight the importance of reducing obesity risk among the low-income population to minimize the burden of intergenerational health disparities due to socioeconomic status. Japan Society for the Promotion of Sciences (22K17392).

Livelihood options of landless rural households in Tigrai Region, Northern Ethiopia: evidence from selected districts

BackgroundThe livelihood of rural households in Ethiopia, like in most developing countries, largely depends on land resource. However, nowadays most rural households are denied access to arable land in the highland of Ethiopia due to high population growth and shortage of arable land. Landlessness is, therefore, becoming a serious social and economic problem in the rural highland areas of Ethiopia in general and Tigrai region in particular. This study, therefore, intends to explore the choice of livelihood strategies of landless rural households and assess the challenges and opportunities of the livelihoods of landless rural households in selected districts of Tigrai region.MethodsThis study is conducted in three randomly selected districts of Tigrai region, namely, Kilte-Awlaelo, Degua-Tembien, and Hintalo-Wajerat districts. For the purpose of this study, two Tabias were randomly chosen from each districts. Then, afterward, both primary and secondary data sources were consulted to address the specific objectives of this study. The primary data were collected from 258 randomly selected households and six focus group discussions. This study used Multivariate Probit and Negative Binomial Regression to analyze factors influencing the choice of livelihood strategies and the number of livelihood options adopted by the landless rural households, respectively.ResultsThis study finds that the livelihood sources of the landless rural households in the study area include farm (90%), non-farm (72%), and off-farm (41%) economic activities. The result of the Multivariate Probit regression indicates that household head characteristics, human capital, social capital, physical capital, financial capital, and institution-related factors were significantly influencing the choice of livelihood strategies of the landless rural households. The results of the negative binomial regression model, on the other hand, assert that household head-related factors, social capital, and institution-related factors were significantly influencing the number of livelihood options adopted by the landless rural households. This study affirms that stone or sand selling, dairy farming, poultry production, animal fattening, and bee keeping are the major opportunities to improve the livelihood of the landless rural households. Moreover, this study also identifies that shortage of arable land, youth unemployment, lack of access to infrastructure, poor land administration, and lack of access to financial capital were the major challenges facing the landless rural households.Concluding remarksThis study concludes that all stakeholders efforts to address the problem of landlessness need to be geared to enhance access of landless rural households to different livelihood capitals, such as human, social, financial, physical, and natural capitals. Moreover, rural township and village enterprises could enhance the access of landless rural households to market and job opportunities.

Expansion of social networks and household carbon emissions: Evidence from household survey in China

As a factor influencing household consumption behavior, the expansion of social networks has an important impact on household carbon emissions (HCEs). Based on survey data from the China Family Panel Studies from 2014 to 2018, we explored the impacts of the expansion of social networks on HCEs and its mechanism. We further analyzed the heterogeneous effects of household income level and characteristics of household heads on HCEs, including age and education level. Our results show that the expansion of social networks can increase HCEs through enlarging consumption quantity and upgrading consumption structure, which is motivated by the comparison behavior based on status-seeking. In addition, the expansion of social networks has a bigger impact on HCEs when the head of household is younger, the head of household has a higher level of education, and the per capita income of the household is higher. These findings suggest that adjusting consumer behavior through the expansion of social networks, cultivating green consumption concepts, and promoting the consumption of low-carbon products may become important strategies to mitigate HCEs.

Wealth in Latin America: Evidence from Chile, Colombia, Mexico and Uruguay

AbstractDrawing on recently‐available microdata from financial surveys, this paper presents harmonized indicators for household wealth, its components, and its determinants in four Latin American countries (Chile, Colombia, Mexico and Uruguay), using Spain as a comparison benchmark. The paper analyzes the relationship between wealth indicators and sociodemographic characteristics of household heads (age, education, gender, marital status). For Uruguay, we are also able to analyze wealth patterns and intergenerational mobility (inheritance, family businesses and parental education).

Does rural livelihood change? Household capital, climate shocks and farm entry-exit decisions in rural Pakistan

Agriculture is a primary source of livelihoods in developing countries. The process of entry and exit of farming activities continues to play an important role in maintaining competition in agriculture and allocating resources between agriculture and other sectors. However, climate changes and other economic and social shocks have been severely affecting farmers’ livelihoods. This article examines rural household livelihood transition in the context of farm entry and exit decisions in rural Pakistan. Using 1867 rural household survey data, we brought insights into how livelihood assets, climate shocks, climate investment and locational characteristics affect their farm entry and exit decisions. The results indicate that the proportion of farm entry (24%) was higher than that of farm exit (15%). The major factors were crop inputs using as credit with a huge markup, crop inputs sold by farmers on net cash in financial crisis, climate shocks and poor climate investment that contributed to farm exit. They were household head characteristics, land ownership (family farm), and livestock ownership that increased the likelihood of farm entry decisions. Farm exit decisions were significantly and positively associated with household migration status, irrigation water shortage, off-farm income, crop input used as credit, crop diseases, climate shocks and lack of local government role in sharing climate knowledge. Furthermore, Propensity Score Matching (PSM) results found that the entry decision significantly decreases household income, while the exit decision significantly increases household income and food security status. These findings provide insights into farm entry and exit for those who are planning livelihood transition, and offer recommendations on how to overcome the constraints faced by farming businesses, agricultural sustainability, self-sufficiency and food security during the transition nationally and internationally.

Unveiling the Impact of Physical Geography on Poverty: A Comprehensive Analysis for Sustainable Development

This study examines the effects of physical geography, demographic characteristics of household heads, and poverty, with a specific focus on the number of poor household heads within districts of Terengganu. Through the utilization of a Poisson log-linear modeling approach, the research investigates the effects of physical geography and demographic factors, on the number of poor household heads for each of the sub-districts. The central concern of this research revolves around the need to comprehend the underlying reasons for differing poverty rates among sub-districts in Terengganu. To carry out the analysis, a Poisson log-linear modeling is employed for the data, leveraging SPSS and Rstudio for statistical analysis. This method enabled us to thoroughly assess how physical geography factors (including terrain and accessibility) and demographic characteristics of household heads (including age, education level, and employment status) influence poverty rates. To determine the distribution of spatial poverty, ArcMap is used to visualize the Standardised Poverty Ratio. The results of the study show that 31 sub-districts were identified as not being at risk of poverty and another 31 were labeled as having a high poverty rate. Furthermore, the Poisson regression analysis yielded several important insights into the factors influencing poverty rates. Specifically, it is found that a higher average age is associated with a decrease in poverty. Conversely, an increase in non-formal education levels, lower elevations, steeper slopes, and higher river density are linked to an increase in poverty. These findings have significant implications for policy formulation and targeted interventions in Terengganu, providing valuable guidance for addressing poverty-related challenges. The mapping of high-risk poverty areas offers crucial information for spatially targeted interventions, facilitating the implementation of more efficient poverty reduction measures. Furthermore, research findings enhance the understanding of the intricate dynamics between physical geography, demographic characteristics, and household poverty. By identifying the significant factors impacting poverty, this study provides valuable insights for developing targeted poverty alleviation strategies and formulating evidence-based policies. In conclusion, this study serves to inform policymakers, researchers, and practitioners about the multifaceted relationships between physical geography, demographic characteristics, and household poverty. By recognizing the critical role played by these factors, stakeholders can devise comprehensive approaches tailored to specific contexts, effectively addressing poverty, promoting inclusive growth, and improving the well-being of vulnerable populations.

Child and adolescent food insecurity in South Africa: A household-level analysis of hunger.

Food insecurity impacts childhood nutritional status, physical and cognitive development, and increases lifetime risk for chronic disease. Previous South African studies have examined hunger at the sub-national level without a specific focus on children and adolescents. This study determines the national prevalence of childhood food insecurity, from birth to adolescence, and identifies factors associated with hunger within the household. Individual and household-level data were extracted from the South African National Health and Nutrition Examination Survey (SANHANES-1). Prevalence of food insecurity was assessed using the Community Childhood Hunger Identification Project (CCHIP) index. Multinomial logistic regression analyses were conducted on all households (with and without children) to determine the predictors of food insecurity, with additional analyses adjusting for child dependency and sociodemographic characteristics of household heads in households with children. Of 5 098 households surveyed, 68.6% had children and adolescents present (0-19 years). Of these households, 32.5% (95% Confidence Interval [CI]: 29.5-35.7) were experiencing hunger and 26.3% (95% CI: 23.9-28.8) were at risk of hunger. Among all the households, significant associations for experiencing hunger were the presence of children and adolescents: Adjusted Odds Ratio (AOR) = 1.68 (95% CI: 1.12-2.53); being female-headed: AOR = 1.53 (95% CI: 1.21-1.94) and informally-located; AOR = 1.6 (95% CI: 1.07-2.43). Of the racial groups, having a non-African household head, Coloured: AOR = 0.29 (95% CI: 0.19-0.44) and White/Indian/Asian: AOR = 0.12 (95% CI: 0.04-0.33) conferred lower odds of experiencing hunger; and, the household head having secondary/tertiary education conferred lower odds of experiencing hunger; AOR = 0.40 (95% CI: 0.28-0.56) as well as being at risk of hunger; AOR = 0.69 (95% CI: 0.52-0.92). Receiving social grants, pensions, or remittances more than doubled the odds of experiencing hunger; AOR = 2.15 (95% CI: 1.49-3.09). After adjusting for child dependency in households with children, having at least one older child (age 15-19 years old) did not change the odds of food insecurity. In summary, only 41% of South African households with children and adolescents were food secure. The associations between household head sociodemographics, household location and size on household food insecurity indicate a need for multi-sectoral interventions to bolster sustainable food systems for households with children and adolescents and to improve public protections for female-headed, African-headed and informally-located households dependent on social grants.

Causal relationship between health insurance and overall health status of children: Insights from Pakistan.

Evaluating the impact of health insurance always remains a methodologically challenging endeavor due to the absence of sample randomization. This paper evaluates the impact of health insurance on the health status of children in Pakistan using the data of the Multiple Indicator Cluster Survey (MICS) for Punjab, Pakistan, from 2017 to 2018. The study adopted the propensity score matching (PSM) method to address the sample selection bias. The sample is matched on potential covariates such as mother characteristics (education level), household head characteristics (gender, age, and education), and other household conditions (such as home dwelling, internet access, wealth index, migration member, number of children residing in the home, as child illness, etc.). The findings revealed that children with insurance have considerably better health than non-insured, at a 1% significance level. The results confirm that health insurance is not a luxury but a need that improves children's overall health. In this regard, governments should enhance and expand programs related to health insurance, especially for children. Health insurance programs will not only help poor people but also improve the overall infrastructure of health services in the country.

Migration, remittances and household welfare: evidence from Sri Lanka

This study attempts to determine the effect of migration and remittances on household welfare in Sri Lanka by using a nationally representative data set collected by the Department of Census and Statistics of Sri Lanka in 2016. As the households that receive remittances are systematically different from those that do not receive remittances, the paper employs the Propensity Score Matching (PSM) technique to avoid any selectivity bias arising from this non-randomness. An aggregate asset index and per capita expenditure were used as welfare measures. Results suggest that household head characteristics, human capital variables and regional characteristics are the main determinants of receiving local and international remittances. Principle Component Analysis (PCA) and factor score analysis suggest that asset indices for productive and consumer assets of international remittance-receiving households are higher than that of the local remittance-receiving households with similar assets. The results of the OLS regression suggest that local and international remittances-receiving households gain higher welfare in terms of the asset index and per capita expenditure. International remittances tend to have a more substantial effect on the welfare of households in Sri Lanka. This study concludes that remittances improve household welfare and recommends that migration should be promoted further.

The Impact of Collective Forestland Tenure Reform on Rural Households’ Inputs: Moderating Effects Based on Off-Farm Employment

Collective Forestland Tenure Reform has confirmed the forestland tenure of rural households and made forestland property rights clearer. In order to explain whether this policy is effective in improving rural households’ expected returns and sense of forestland tenure security, we built models to study the impact of off-farm employment on forestland input in the context of labor migration to urban areas. We used data from the rural household tracking survey conducted by the Development Research Center of the National Forestry and Grassland Bureau from 2003–2016, which includes nine provinces (districts) and 1227 sample rural households in China. Regression models with the forestland titling program as the key influencing factor were constructed, controlling for household characteristics, household head characteristics, forestland characteristics, village level characteristics, market characteristics, and policy factors. Forestland leases had no significant on cash outlays and labor inputs. Forest tenure mortgage loans had a significant positive effect on cash outlays and labor inputs. For households’ off-farm employment, the moderating effects of labor migration on labor inputs and cash outlays are modeled separately. The study indicated that the forestland tenure titling certificates increase households’ enthusiasm in forestland production and promote cash outlays and labor inputs in forestland management. The results regarding the moderating effect indicated that labor migration has a positive moderating effect on rural households’ forestland inputs including labor inputs and cash outlays.