Poor Households Research Articles

The welfare effects of mobile broadband internet: Evidence from Nigeria

This paper estimates the impacts of mobile broadband coverage on household welfare in Nigeria. The analysis exploits a unique data set that integrates a longitudinal household survey with information from Nigerian mobile operators on the deployment of mobile broadband internet between 2010 and 2016. Overall, estimates show that mobile broadband coverage had large and positive impacts on household consumption thereby reducing poverty significantly. This effect is if anything stronger among poorer households. Labor force participation explains a big part of this welfare-enhancing effect.

The effect of targeted poverty alleviation on consumption of poor rural households in China

Using a survey data of 358 rural households from Jiangxi province of China. This article uses the regression adjusted inverse probability weighted estimation method (IPWRA) to study the impact of precision poverty alleviation on the consumption of rural impoverished households. The empirical results of ATE estimation indicate that precision poverty alleviation has a significant impact on the total consumption and food, clothing, education and living consumption of impoverished households, but has no significant impact on transportation, communication and miscellaneous consumption. Moreover, the poverty alleviation has the largest effect on consumption of education, followed by food.

Prime Minister Social Security Schemes - An Investigation into the Well-being of Rural Households

Abstract: Background: In order to establish a universal social security system for Indian citizens, especially the rural, marginalized, and vulnerable groups, the Indian government launched three ambitious social security schemes related to the insurance and pension sectors on May 9, 2015. Objective: This article is an attempt to investigate the effectiveness of these three social security schemes — Atal Pension Yojna, PM Jeevan Jyoti Beema Yojna, and PM Suraksha Beema Yojna, in improving the well-being of the poor households from rural regions and the people from the unorganized section of the country. Methodology: This investigation is entirely based on secondary sources, particularly the research publications on the selected topic and the government documents, reports, policy announcements, and news sources. Findings: Focusing on the identified schemes and their respective benefits, the article critically investigated their achievements along with the various challenges faced in effectively executing these schemes. Conclusion: The researcher highlighted an urgent need for a multi-faceted approach involving policy adjustments, awareness campaigns, and targeted efforts to address the identified challenges in the effective execution of the identified social security schemes.

Analisa Program Bantuan Beras Sejahtera (Rastra) dalam Meningkatkan Kesejahteraan Masyarakat di Desa Serdang Indah Kecamatan Luas Kabupaten Kaur Provinsi Bengkulu

This study aims to analyze the effectiveness of the Rastra program in Batu Lungun Village, Nasal District. This study uses a descriptive qualitative approach. Data was collected by distributing questionnaires to 3 respondents from village officials, three from the Village Consultative Council, eight from Rastra entrepreneurs, and 30 from PPM Rastra. Data were collected through questionnaires distributed technique to 3 respondents from village officials, three respondents from the Village Consultative Body, eight from business Rastra, and 30 others from the Domestic Beneficiaries Rastra. Data was also collected through interview techniques from 1 respondent from village officials, one respondent from the Village Consultative Body, two respondents from Tim business Rastra, and three respondents from poor households. Data were analyzed using percentage analysis using a Likert scale and analysis of the interview results. The results showed that the effectiveness of the rice program for poor families (Rastra) has not been optimally achieved. Of 6 indicators of program success, Rastra, 3 of which have yet to reach both criteria. The indicator was on target, the right price and the right quality. Rastra channeled still not right given to Households that did meet the criteria for poor households, rice they received was also in poor condition, and redeemed at a price higher than the price determination Rastra general guidelines.

Impact of cash transfer programs on healthcare utilization and catastrophic health expenditures in rural Zambia: a cluster randomized controlled trial.

Nearly 100 million people are pushed into poverty every year due to catastrophic health expenditures (CHE). We evaluated the impact of cash support programs on healthcare utilization and CHE among households participating in a cluster-randomized controlled trial focusing on adolescent childbearing in rural Zambia. The trial recruited adolescent girls from 157 rural schools in 12 districts enrolled in grade 7 in 2016 and consisted of control, economic support, and economic support plus community dialogue arms. Economic support included 3 USD/month for the girls, 35 USD/year for their guardians, and up to 150 USD/year for school fees. Interviews were conducted with 3,870 guardians representing 4,110 girls, 1.5-2 years after the intervention period started. Utilization was defined as visits to formal health facilities, and CHE was health payments exceeding 10% of total household expenditures. The degree of inequality was measured using the Concentration Index. In the control arm, 26.1% of the households utilized inpatient care in the previous year compared to 26.7% in the economic arm (RR = 1.0; 95% CI: 0.9-1.2, p = 0.815) and 27.7% in the combined arm (RR = 1.1; 95% CI: 0.9-1.3, p = 0.586). Utilization of outpatient care in the previous 4 weeks was 40.7% in the control arm, 41.3% in the economic support (RR = 1.0; 95% CI: 0.8-1.3, p = 0.805), and 42.9% in the combined arm (RR = 1.1; 95% CI: 0.8-1.3, p = 0.378). About 10.4% of the households in the control arm experienced CHE compared to 11.6% in the economic (RR = 1.1; 95% CI: 0.8-1.5, p = 0.468) and 12.1% in the combined arm (RR = 1.1; 95% CI: 0.8-1.5, p = 0.468). Utilization of outpatient care and the risk of CHE was relatively higher among the least poor than the poorest households, however, the degree of inequality was relatively smaller in the intervention arms than in the control arm. Economic support alone and in combination with community dialogue aiming to reduce early childbearing did not appear to have a substantial impact on healthcare utilization and CHE in rural Zambia. However, although cash transfer did not significantly improve healthcare utilization, it reduced the degree of inequality in outpatient healthcare utilization and CHE across wealth groups. https://classic.clinicaltrials.gov/ct2/show/NCT02709967, ClinicalTrials.gov, identifier (NCT02709967).

Nutrition profiles of farm households across different farming systems in Ethiopia: Unpacking the determinants and implications for nutrition-sensitive interventions.

Tackling nutrition insecurity remains a critical challenge in developing countries. In the predominantly rain-fed and smallholder-based farming systems of Ethiopia, production diversity and livelihood strategies of the farm households vary across geographic areas. However, the effects of household socioeconomic characteristics, production diversity, and household incomes on nutrition profiles in distinct settings have been inadequately understood. Therefore, this study was undertaken to examine the association of farming system type, sources of income, and household wealth status with household nutrition profiles in three remote locations such as Mennisa, Welmel Tiqa, and Agam Wuha that represent root crops-based farming, maize-based semi-pastoral farming, and teff-based cereal farming systems, respectively. A combination of qualitative and quantitative data collection techniques was employed. A multistage sampling procedure was used to select a total of 265 smallholder households for the structured survey interviews. Standard statistical tests and Tobit regression analyses were performed after determining the wealth category of each household. Results revealed a diversity of income sources used by each of the farm households with average values of 9 in Mennisa, 10 in Agam Wuha, and 11 in Welmel Tiqa, with the contributions of each income source varying by household wealth category and location. As expected, expenditures on food significantly exceeded those on non-food categories for poor households and vice versa for rich wealth households. The average total food variety score (FVS) for Welmel Tiqa was twice that for Agam Wuha, confirming the need for site-specific nutrition profile assessments. Despite the observed differences in household nutrition profiles among wealth categories and locations, the apparent intakes of vitamin A, vitamin B12, vitamin D, and calcium were consistently below the population-level estimated average requirements across all locations. The number of adequately consumed nutrients by farm households was negatively associated with family size, age of household heads, livestock holdings, wealth categories, and irrigation use, and positively associated with crop production diversity, income diversity, and FVS. The negative association between irrigation use and nutrition security was likely due to the focus on producing crops with a high market value on land under irrigation, coupled with ineffective allocation of generated income for enhancing household nutritional outcomes. Therefore, programs that include irrigated agriculture investments should consider adopting a more integrated nutrition-sensitive interventions, including consideration of locally adapted nutritious crops, such as orange-flesh sweet potato, to address critical deficiency of Vitamin A, nutrition training coupled with development of recipes and cooking demonstrations, and marketing and promotion for nutritious crops.

The Equity Impact of Universal Home Visits to Pregnant Women and Their Spouses in Bauchi State, Nigeria: Secondary Analysis From a Cluster Randomised Controlled Trial.

Socio-economically disadvantaged women have poor maternal health outcomes. Maternal health interventions often fail to reach those who need them most and may exacerbate inequalities. In Bauchi State, Nigeria, a recent cluster randomised controlled trial (CRCT) showed an impressive impact on maternal health outcomes of universal home visits to pregnant women and their spouses. The home visitors shared evidence about local risk factors actionable by households themselves and the program included specific efforts to ensure all households in the intervention areas received visits. To examine equity of the intervention implementation and its pro-equity impact. The overall study was a CRCT in a stepped wedge design, examining outcomes among 15,912 pregnant women. We examined coverage of the home visits (three or more visits) and their impact on maternal health outcomes according to equity factors at community, household, and individual levels. Disadvantaged pregnant women (living in rural communities, from the poorest households, and without education) were as likely as those less disadvantaged to receive three or more visits. Improvements in maternal knowledge of danger signs and spousal communication, and reductions in heavy work, pregnancy complications, and post-natal sepsis were significantly greater among disadvantaged women according to the same equity factors. The universal home visits had equitable coverage, reaching all pregnant women, including those who do not access facility-based services, and had an important pro-equity impact on maternal health.

Six in ten female youths in low-income East African countries had problems in accessing health care: a multilevel analysis of recent demographic and health surveys from 2016–2021

BackgroundAccess to health care services is a basic human right, and an individual’s health and overall quality of life may suffer as a result of barriers to accessing health services. Access to comprehensive and quality health care is fundamental for promoting and maintaining health, preventing and treating diseases, and reducing premature deaths. However, only half of the African population has access to modern health services. Therefore, this study aimed to assess the health care access and associated factors among female youths in low-income East African countries.MethodsThis study used secondary data from 2016 to 2021 demographic and health surveys of 7 low-income East African countries. A total weighted sample of 51,064 youths was included. A multilevel binary logistic regression was employed to identify the associated factors of access to health care since the data has a hierarchical structure. Adjusted Odds Ratio (AOR) with a 95% confidence interval (CI) at a p-value less than 0.05 was used to measure the association of variables whereas Intra-class correlation coefficient (ICC), Median Odds Ratio (MOR), and proportional change in variance (PCV) were used to measure random effects.ResultThe overall magnitude of access to healthcare among female youths in low-income East African countries was 38.84% (95% CI: 38.41, 39.26). Youth’s educational level, rich wealth status, media exposure, and community level education were the positive while higher youth’s age and rural residence were the negative predictors of access to healthcare among female youths. Besides, living in different countries compared to Burundi was also an associated factor for accessing healthcare in low-income East African countries.ConclusionAbout six in ten female youths were not accessing health care in low-income East African countries. Therefore, to increase healthcare access, health managers and policymakers needed to develop strategies to improve the poor household wealth index, and redistribution of health services for rural residents. The decision-makers and program planners should also work on increasing access to education and media exposure for youths. Further research including health system and quality of service-related factors for accessing healthcare should also be considered by researchers.

Child Laborers’ Exposure to Neglect in Rural Bangladesh: Prevalence and Risk Factors

Abuse and neglect among child laborers are serious public health concerns. In particular, neglect of child laborers both at home and in the workplace exacerbates their social and health risks. Despite this, the issue continues to be overlooked by researchers and policy makers. In this study, we investigated the prevalence and factors of child labor neglect in rural Bangladesh. Using the snowball sampling method, 200 parents and employers were recruited for this cross-sectional study. We performed a multivariable linear regression analysis using SPSS 28 version. Child laborers are found to be severely neglected, primarily deprived of food and water, and are inadequately supervised. Elements of parental risk, including poor household income (β = 0.07, CI = 0.03, 0.11, p < 0.01) and a history of their own early childhood maltreatment (β = 0.22, CI = 0.07, 0.36, p < 0.01) were identified as significant predictors of neglect among child laborers. Further, child laborers working in agriculture were significantly more likely to experience neglect than those in the domestic sectors.This finding was based on their vulnerable traits, such as working with more than five co-workers (β = 0.08, CI = 0.02, 0.15, p < 0.01), working for extended hours (β = 0.14, CI = 0.01, 0.28, p = 0.04), and suffering from malnutrition (β = 0.30, CI = 0.04, 0.57, p = 0.03). The findings of this study suggest further research on outcome variables are required. Specifically, the study suggests that two intervention strategies could be implemented to alleviate child labor and neglect in Bangladesh, namely financial support programs and amendments to existing policies.

Statistical Analysis of Ineqality and Poverty with Under-Reporting Incomes of Russian Households

The subject of the article is the study of inequality and poverty, taking into account under-reporting household income. The purpose of the research was to estimate the under-reporting incomes of households and their impact on the smoothing income inequality and poverty based on representative data of the All-Russian Survey of Consumer Finance (2013, 2015, 2018, 2020 and 2022). It is relevant to analyze changes in inequality for individual population groups, as well as the contribution to inequality of individual sources of income, including those hidden from statistical observation. The novelty of the study is the obtained estimates of under-reporting household income, as well as the results of an analysis of their impact on smoothing income inequality and poverty based on the specified dataThe methodology included the use of econometric modeling according to the Pissarides – Weber approach, as well as decomposition of the Gini elasticity by income sources based on the Lerman – Yitzhaki algorithm. The results of estimations differ from those previously obtained according to the data of the Russia Longitudinal Monitoring Survey – Higher School of Economics. The resulting share of under- reporting income in the disposable resources of households averaged about 20% for 2013 to 2022 and decreased by 2,3% on average per year. Decomposition of the Gini index by income sources led to the conclusion that the main contribution to inequality was made by the non-poor population. Calculation of Gini income elasticities by income sources for poor and non-poor households (taking into account the imputed component of under-reporting income) revealed their differently directed impact on inequality. Wages and social transfers increase inequality among the poor and do not increase inequality among non-poor households. Estimating under-reporting income was higher for the group of poor households. At the same time, this component increased inequality in the post-crisis year 2015 and in the pandemic year 2020 for the group of non-poor households. The obtained results will provide important information to social policy makers, taking into account the influence of under-reporting income` on the poverty reduction and equalization of the standard of living of the Russian population

Food diversity: its relation to children’s health and consequent economic burden

BackgroundThis study investigates the impact of low food diversity on the health status of children using the Dietary Diversity Score (DDS) and Dietary Serving Score (DSS) in a sub-district with the highest percentage of poor households. The economic burden of low food diversity was observed by analysing the cost of illness in the children with low food diversity.MethodsData from 329 children were collected. We determined the impact of DDS and DSS and other factors on the health status of children aged 2–14 years, using a probit model. The cost of illness (e.g., typhus, stomach ulcers, coughs, flu, and fever) due to low food diversity was calculated from medical registration fees, medical action costs, transportation costs, and other costs.ResultsThe results shows that a 1% point increase in DDS or DSS potentially decreases children’s health complaints by 10% and 8%, respectively. Given the current 26% prevalence of health complaints among children with low DDS, the annual economic burden reaches US$75.72 per child per household. In addition, the current 41% prevalence of children with low DDS resulted in an annual cost to the government of US$153.45 per child.ConclusionsThe effect of inadequate dietary diversity on children’s health is potentially high and contributes to the economic burden on households and the government.

Anthropometric failures and its predictors among under five children in Ethiopia: multilevel logistic regression model using 2019 Ethiopian demographic and health survey data

BackgroundComposite Index of Anthropometric Failure (CIAF) combines all three forms of anthropometric failures to assess undernutrition status of children. There is no study on CIAF to identify the real and severe form of under nutrition among Ethiopian children that addressed community level factors. So, this study determined CIAF and identified important factors which helps to design appropriate intervention strategies by using multi-level advanced statistical model.MethodsThe study included 5,530 under five children and utilized a secondary data (EMDHS 2019) which was collected through community-based and cross-sectionally from March 21 to June 28, 2019. Composite index of anthropometric failure among under five children was assessed and a two-stage sampling technique was used to select the study participants. Descriptive summary statistics was computed. A multi-level binary logistic regression model was employed to identify important predictors of CIAF in under five children. Adjusted odds ratio with its 95% CI was estimated and level of significance 0.05 was used to determine significant predictors of CIAF.ResultsThe prevalence of composite index of anthropometric failure (CIAF) was 40.69% (95% CI: 39.41, 42.00) in Ethiopia. Both individual and community level predictors were identified for CIAF in under five children. Among individual level predictors being male sex, older age, short birth interval, from mothers who have not formal education, and from poor household wealth quintile were associated with higher odds of CIAF among under five children. Low community women literacy and being from agriculturally based regions were the community level predictors that were associated with higher odds of CIAF in under five children in Ethiopia.ConclusionsThe burden of composite index of anthropometric failure in under five children was high in Ethiopia. Age of child, sex of child, preceding birth interval, mother’s education, household wealth index, community women literacy and administrative regions of Ethiopia were identified as significant predictors of CIAF. Therefore, emphasis should be given for those factors to decrease the prevalence of CIAF in under five children in Ethiopia.

Associated factors of child wasting among children aged 0 – 23 months in India: Analysis of the National Family Health Survey-5

The enduringly high prevalence of child wasting (weight-for-height-2SD) in India is a significant cause for concern. The objective of this study is to identify areas with high incidence of wasting among children aged 0 &amp;ndash; 23 months and to uncover the factors influencing wasting among young children in India. The analysis utilized individual and district-level data from the National Family Health Survey-5 in 2019 &amp;ndash; 2021. The wasting prevalence exceeding 30% was found in 81 districts, with 501 districts surpassing 15%. Our analysis indicated that children from the poorest households (adjusted odds ratio [AOR] = 1.60, 95% confidence interval [CI] = 1.43 &amp;ndash; 1.79), those lacking access to improved sanitation facilities (AOR = 1.18, 95% CI = 1.11 &amp;ndash; 1.25), belonging to other backward class families (AOR =1.12, 95% CI = 1.04 &amp;ndash; 1.20), and born to mothers with body mass index (BMI) &lt;18.5 (AOR = 1.30, 95% CI = 1.23 &amp;ndash; 1.37) faced higher odds of wasting. In addition, low birth weight (&lt;2500 g) increased the odds of wasting by 27% (AOR = 1.27, 95% CI = 1.20 &amp;ndash; 1.36). The study further found that a minimum acceptable diet and female gender had protective effects on wasting among children aged 6 &amp;ndash; 23 months. These findings underscore the need for a comprehensive programmatic response to addressing wasting in young children. Urgent policies and programmatic actions are warranted, with a specific focus on strengthening the care of low birth weight and premature babies, as well as promoting optimal child feeding practices. There is a call for intensified nutrition services as an integral component of routine health services for mothers. Early identification and management of wasting and counseling during pre-conception and pregnancy should be prioritized.

The Relationship Between Socio-economic Characteristics and Income Level: A Case Study of Coastal Communities in Makassar

The purpose of the study is to determine the characteristics of poor family groups, calculate welfare, education and main occupation and determine their relationship with the income level of poor family groups in coastal communities of Makassar city. It is well known that current poverty reduction programs do not fully address the root causes of poverty. In hypothetical research, three key variables account for poverty: human poverty, social and natural poverty, and additional poverty. The research methodology was conducted using a survey method that focused on poor communities living in the coastal areas of Makassar city, with a unit of analysis for poor households. The number of samples tested was 273 people. To identify the characteristics of poor family groups, a descriptive study was conducted and the relationship between social characteristics and income level was used using the chi-square test. Research results using chi-square methods confirmed that education, education and economics have a significant relationship with family income. Therefore, in poor coastal communities, high-quality production, education and entrepreneurship are important elements to achieve higher family income and better social distance. The results of this study provide concrete suggestions for policymakers and experts seeking to reduce poverty in coastal communities. Family elements such as children, education and work can lead to some actions including providing free education and encouraging volunteerism in traditional activities. It also provides important data on the characteristics of low levels of family reunification in coastal communities of Makassar city and their relationship to the level of implementation

Disposable diaper consumption in sub-Saharan Africa: Estimating the risks of associated unsafe waste

Disposable diaper use is widespread in many low- and middle-income countries whilst waste collection services are scarce. Despite the potential environmental and public health impacts of disposable diaper consumption by households lacking waste services, an international system for monitoring such consumption is lacking. This study therefore aims to develop and evaluate a method for estimating disposable diaper use based on secondary data, specifically nationally representative household expenditure surveys. Disposable diaper expenditure reported via household expenditure surveys for Nigeria (from 2018–19), Kenya (2015–16) and Ghana (2016–17) was used to estimate national disposable diaper consumption among households lacking waste collection services. To assess plausibility of reported expenditure, consumption-smoothing was examined, and Receiver Operating Curve analysis was used to infer mean toilet-training age. In Ghana, Kenya and Nigeria, households lacking appropriately managed waste services consumed an estimated 19 million, 210 million and 285 million disposable diapers per year (292 child/year, 433 child/year and 59 child/year among nappy-consuming households), respectively. Mean toilet-training ages were 24 to 30 months. Disposable diaper purchasing patterns showed evidence of consumption-smoothing among poorer households. Where commodity coding allows, household expenditure surveys can be used to construct internationally comparable indicators depicting disposable diaper consumption among households lacking waste services. Such indicators could be used to advocate for accelerated diaper product innovation, and target areas with high disposable diaper consumption but low waste service coverage.

Socio-Behavioural Barriers to Viral Suppression in the Older Adult Population in Rural South Africa

South Africa has the largest share of people living with HIV in the world and this population is ageing. The social context in which people seek HIV care is often ignored. Apart from clinical interventions, socio-behavioural factors impact successful HIV care outcomes for older adults living with HIV. We use cross-sectional data linked with demographic household surveillance data, consisting of HIV positive adults aged above 40, to identify socio-behavioural predictors of a detectable viral load. Older adults were more likely to have a detectable viral load if they did not disclose their HIV positive status to close family members (aOR 2.56, 95% CI 1.89-3.46), resided in the poorest households (aOR 1.98, 95% CI 1.23-3.18), or were not taking medications other than ART (aOR 1.83, 95% CI 1.02-1.99) likely to have a detectable. Clinical interventions in HIV care must be supported by understanding the socio-behavioural barriers that occur outside the health facility. The importance of community health care workers in bridging this gap may offer more optimum outcomes for older adults ageing with HIV.

Solutions to Improve Human Capital to Support Dao People in Thanh Hoa Province, Vietnam, to Escape Poverty Sustainably

Abstract Researching solutions to improve human capital to support the Dao people to escape poverty sustainably in Thanh Hoa province is limited by the author to the following aspects: the current status of the human capital of Dao households; the main principle in poverty reduction is the need to give trust to the poor; classify poor household into three groups: household with elderly and sick people; household groups have working workers but lack skills and experience; groups of households that refuse to work and are lazy; support policies and efforts of the poor themselves to improve the capacity of sustainable poverty escape of Dao household today in Thanh Hoa province.

Determinants of severity levels of anemia among pregnant women in Sub-Saharan Africa: multilevel analysis.

Anemia is a severe public health problem affecting 54% of pregnant women in SSA Yet, only a limited number of studies have provided a partial assessment of the pooled prevalence and related determinants of the severity levels of anemia in pregnant women in SSA. Therefore, this study provides the most recent estimates of anemia severity levels and related determinants. The most recent Demographic Health Survey (DHS) dataset of 21 Sub-Saharan African countries which were collected between 2015 and 2022 were used. A total of 14,098 pregnant women were included. Multilevel ordinal logistic regression was used. The pooled prevalence of anemia was 51.26%. Pregnant women who were in the old age groups, and who have attended secondary and higher education were less likely to be at higher levels of anemia. Those women who have given birth to >1 children in the last 5 years, pregnant women in second and third trimester and living in poorest households had greater odds of being at higher levels of anemia. In Sub-Saharan Africa, anemia is a severe public health concern for pregnant mothers. When developing and implementing strategies for the prevention and control of anemia, it is imperative to take into account the individual and community circumstances. Programs for the prevention and control of anemia should incorporate the economic and educational empowerment of women.

Will Self-Employment Set You Free from Poverty? Evidence from Two National Surveys from Economically Developed Countries

ABSTRACT In this study, we test whether self-employment is associated with lower poverty and whether poor self-employed individuals alleviate the distance from the poverty line more so than individuals who are not self-employed. We examine both the Panel Study of Income Dynamics (PSID; 1980–2019) from the US and Household, Income, and the Labor Dynamics in Australia (HILDA; Panel Study of Income Dynamics (2001–2018). We find that the odds of being self-employed in poor households are about 5.2% to 12% higher, and the distance below the poverty line is farther for self-employed in the PSID ($861.30) and not significant in the HILDA.

Household characteristics and common property forest use: complementarities and contradictions

Being limited in supply but accessible for community usage, sustainable management of Common pool resources is still an important question facing both development planners and the academia. Experience from community forestry program in Nepal, and elsewhere, has so far indicated that poorer households are still marginalized even if resources are managed under community ownership. In this paper, I seek to analyze the socio-economic attributes of households that determine labor allocation decisions for forest product collection activities. This will help better understand why poorer groups have not been benefited from the management of community forests. I will then highlight the need for more effective policy and institutional interventions that would help ensure efficient and equitable access to the local level natural resource base.