THE IMPACT OF FEMALE WORK ON FAMILY INCOME DISTRIBUTION IN THE UNITED STATES: BLACK-WHITE DIFFERENTIALS*

Using data from the 1973 National Survey of Family Growth, the present study analyzes, for blacks and whites separately, the impact of female market activity on the inequality of the income distribution among households. The family life cycle is divided into three stages, according to the presence and age of children: (1) the interval between marriage and the birth of the first child, (2) the child-rearing interval, and (3) a final period which begins when all the children have reached school age. Using the coefficient of variation as an indicator of inequality, the empirical results show that in period 1, the contribution of white working wives has a large equalizing impact, while that of their black counterparts results in a slight increase in dispersion. In the child-rearing and post child-rearing stages, the labor supply of mothers decreases family income inequality by a small amount for both black and white households. A decomposition of the squared coefficient of variation of family income is presented to aid in the interpretation of these findings.     

从“家庭农场”到“农民合作”:恰亚诺夫的合作化思想及其对中国现代农业发展的启示

农民经济理论和农民合作社理论是恰亚诺夫农业经济思想的两个重要组成部分。恰亚诺夫以家庭农场研究为基础,关注如何在以小农户为主体的基础上实现农业的大生产,提出了以合作社为载体的纵向一体化,构建了"小农场+合作社+支持型国家"的现代农业发展模式。本文通过介绍和补充恰亚诺夫关于农民合作社的研究论述与主要观点,强调指出了恰亚诺夫农业经济思想对当下促进小农户与现代农业有机衔接的中国农业发展所具有的实践价值与理论意义。     

Microcredit,Labor, and Poverty Impacts in Urban Mexico

Improved household accessibility to credit is a significant determinant of intra‐household allocation of labor resources with important implications for productivity, income, and poverty status. However, credit accessibility could also have wider impacts on poverty if it leads to new hires outside the household. This paper contributes to the existing literature on microcredit in two important ways. First, it investigates the routes through which microcredit reaches those in poverty outside the household. We test whether by lending to the vulnerable non‐poor microcredit can indirectly benefit poor laborers through increased employment. Second, we conduct the study in the context of urban poverty Mexico. This is relevant when considering that labor often represents the only source of livelihoods to the extreme urban poor. Our findings point to significant trickle‐down effects of microcredit that benefit poor laborers; however, these effects are only observed after loan‐supported enterprising households achieve earnings well above the poverty line.     

The Impact of Non-Labor Income Given Job Heterogeneity on Household Time Allocation: The Evidence from China

This paper proposes a theoretical framework based on new household economic theories. A dataset from the 2006 China Health and Nutrition Survey (CHNS) is used. Given heterogeneity in major family members’ jobs, the effect of non-labor income on household time allocation is discussed under two scenarios: jobs with flexible work hours and jobs with fixed work hours in the market. Based on the nature of the employer the major family member works for, employers can be categorized into four categories: government-owned, family contract, privately-owned, and foreign-funded. Each of the four categories is used for dissecting the data into different sets for analysis by category. The results imply that job heterogeneity is significantly correlated to household time allocation. An increase in non-labor income results in a decrease in the time allocated to housework for all households. However, leisure time is allocated differently among different households due to job heterogeneity. An increase in non-labor income leads to less leisure time for households working for government-owned or foreign-funded enterprises, and more leisure time for households working for family contract or privately-owned enterprises.     

Forests, biomass use and poverty in Malawi

Malawi is one of the poorest countries in Africa and has faced significant deforestation over the years. This paper seeks to examine the nature of the relationship between poverty and forests in Malawi. We try to answer three sets of questions: a) what is the extent of biomass available for meeting the energy needs of the poor in Malawi and how is this distributed? b) To what extent does fuelwood scarcity affect the welfare of the poor? And c) do households spend more time in fuelwood collection in response to scarcity? We answer these questions by matching household surveys with remote-sensing data.Our analyses suggest that biomass scarcity is associated with small but significantly lower household welfare, particularly for the rural poor. At current high levels of scarcity, 80% of rural poor households are likely to benefit from an increase in biomass in the community. Rural women spend more time on fuelwood collection where biomass is scarce. The small decrease in welfare associated with biomass scarcity suggests that households cope with scarcity in a variety of ways. Any effort to reduce degradation and deforestation in Malawi has to build on a clear understanding of household adaptation to fuelwood scarcity.     

新疆南部地区棉农生计变化影响因素分析——基于阿克苏地区阿瓦提县400户棉农的调查数据

为保证棉花这一国家战略性资源的数量和质量,确保新疆南部地区棉农生计的可持续性改善,本文试图对南疆棉农生计变化的影响因素进行深入分析。本研究运用阿克苏地区阿瓦提县实地调研和访谈数据,从户主的个人特征、家庭经营特征、家庭经营方式、自然灾害影响和政府补贴与资助五个方面对影响棉农家庭经营收入和生计变化的因素进行分析,进一步运用因子分析法等数学模型进行定量分析,得出南疆棉农生计变化影响因素的综合排名。研究结论表明：家庭经营规模,种子、农药及地膜投入,政府补贴资助量和套种数量四种因素对棉农生计变化影响较为显著。最后,建议通过政府补贴、政策制定、土地利用以及产业结构优化等方面的完善以促进南疆棉农生计变化的良性作用机制的形成。     

Relative price shifts,economies of scale and poverty during economic transition1

Economic transition is associated with significant shifts in relative prices between private and public goods. If, as a result, public goods claim a larger share of total expenditures, economies of scale in consumption increase. We show how relative price changes might alter the welfare of different‐sized households in the short run and over time. We illustrate, for a selection of transition economies, that conventional poverty profiles are quite sensitive to assumptions made about economies of scale in consumption. In particular, the common view that large households with many children are poor relative to small households (such as those comprising the elderly) is shown to be highly non‐robust.     

Fire use and prevention by traditional households in the Brazilian Amazon

Fire is an important land management tool for smallholders in the Brazilian Amazon. However, when fires are not properly controlled they can give rise to large-scale wildfires that threaten forests, agricultural plantations, and settlement areas. We use data from a survey of 220 households to examine fire prevention and the scale of fire prevention and burning activities among traditional subsistence households in the Tapajós National Forest in Pará, Brazil. We find that in traditional households, economic variables such as the opportunity cost of household time, market conditions, and the hiring wage are important predictors of these decisions, as is household reliance on standing forest resources for non-timber products. Our results confirm that traditional households actively engage in fire prevention, and suggest that fire prevention is motivated by a desire to protect agricultural plantations as well as standing forest reserves. The results suggest that increased income, improved infrastructure, and improved access to markets for labor and agricultural goods will encourage fire prevention among smallholders in communities with education and planning programs.     

Identification of strategies to improve goat marketing in the lowlands of Ethiopia: a hedonic price analysis

This article aims at identifying factors that determine market prices of goats and analyse potential mechanisms by which smallholder goat producers could maximize their benefits. Data on 357 farm households and 2103 goat transactions were collected in three major goat markets in the lowlands of Ethiopia. Hedonic price models adjusted for heteroscedasticity were employed to analyse the observed price data. Model results showed the relative importance of different factors in determining goat prices. Animal attributes including age, sex, live weight, body condition and presence of horn as well as types of buyer and market outlet targeted and time of selling were found to be important. Particularly, goats marketed during festive periods where demand for meat increases (e.g. Ethiopian New Year) command higher prices. These results imply that interventions such as systematic selection schemes targeting traits demanded by the market, improved linkages to markets, easy access to market information systems and creating conducive environment including incentive mechanisms can enhance smallholder farmers’ and pastoralists’ ability to take advantage of seasonal and spatial price changes and become market responsive with effective marketing strategies. Such changes can be potent in improving the livelihoods of smallholder farmers and pastoralists.     

林业主产区农户影子工资对家庭劳动供给影响的实证分析

本文利用1990—2001年我国四川省沐川县、安徽省金寨县480户农户的数据,采用Translog函数和C-D生产函数对样本林业主产区农户在林业、种植业、畜牧业和非农业的影子工资进行估算,并利用Heckman两阶段模型分析了影子工资、影子收入、户主年龄、户主受教育程度、家庭负担等因素对农户劳动供给的影响。研究结果表明:样本林业主产区农户的影子工资与劳动供给时间存在负向关系,闲暇对于农户家庭中男性和女性来说是劣质品;农户家庭劳动供给的联合决策特征非常明显;农户家庭劳动力存在主次之分,该结论对于说明农户家庭内劳动分工以及劳动力流动有一定的指导意义。     

Household Electricity Demand, Revisited

Recent efforts to restructure electricity markets have renewed interest in assessing how consumers respond to price changes. This paper develops a model for evaluating the effects of alternative tariff designs on electricity use. The model concurrently addresses several interrelated difficulties posed by nonlinear pricing, heterogeneity in consumer price sensitivity, and consumption aggregation over appliances and time. We estimate the model using extensive data for a representative sample of 1300 California households. The results imply a strikingly skewed distribution of household electricity price elasticities in the population, with a small fraction of households accounting for most aggregate demand response. We then estimate the aggregate and distributional consequences of recent tariff structure changes in California, the consumption effects of which have been the subject of considerable debate.     

Family networks and school enrolment: Evidence from a randomized social experiment

We present evidence on whether and how a household's behavior is influenced by the presence and characteristics of its extended family. Using data from the PROGRESA program in Mexico, we exploit information on the paternal and maternal surnames of heads and spouses in conjunction with the Spanish naming convention to identify the inter- and intra-generational family links of each household to others in the same village. We then exploit the randomized research design of the PROGRESA evaluation data to identify whether the treatment effects of PROGRESA transfers on secondary school enrolment vary according to the characteristics of extended family. We find PROGRESA only raises secondary enrolment among households that are embedded in a family network. Eligible but isolated households do not respond. The mechanism through which the extended family influences household schooling choices is the redistribution of resources within the family network from eligibles that receive de facto unconditional cash transfers from PROGRESA, towards eligibles on the margin of enrolling children into secondary school.     

Combining analytical frameworks to assess livelihood vulnerability to climate change and analyse adaptation options

Experts working on behalf of international development organisations need better tools to assist land managers in developing countries maintain their livelihoods, as climate change puts pressure on the ecosystem services that they depend upon. However, current understanding of livelihood vulnerability to climate change is based on a fractured and disparate set of theories and methods. This review therefore combines theoretical insights from sustainable livelihoods analysis with other analytical frameworks (including the ecosystem services framework, diffusion theory, social learning, adaptive management and transitions management) to assess the vulnerability of rural livelihoods to climate change. This integrated analytical framework helps diagnose vulnerability to climate change, whilst identifying and comparing adaptation options that could reduce vulnerability, following four broad steps: i) determine likely level of exposure to climate change, and how climate change might interact with existing stresses and other future drivers of change; ii) determine the sensitivity of stocks of capital assets and flows of ecosystem services to climate change; iii) identify factors influencing decisions to develop and/or adopt different adaptation strategies, based on innovation or the use/substitution of existing assets; and iv) identify and evaluate potential trade-offs between adaptation options. The paper concludes by identifying interdisciplinary research needs for assessing the vulnerability of livelihoods to climate change.     

Subjective probabilistic expectations,household air pollution,and health: Evidence from cooking fuel use patterns in West Bengal,India

An increasing number of empirical studies have investigated the determinants of cooking fuel choice in developing countries, where health risks from household air pollution are one of the most important issues. We contribute to this stream of literature by examining individuals’ subjective probabilistic expectations about health risks when using different types of fuel and their role in cooking fuel usage patterns. We also explore how these patterns, in turn, are associated with health status. Using data collected from 557 rural Indian households, we find that subjective probabilistic expectations of becoming sick from dirty fuel usage are negatively and significantly associated with the fraction of days of dirty fuel usage in households. Concurrently, dirty fuel usage and self-reported health status of the individual being sick are also significantly correlated. We then conduct a policy simulation of information provision regarding the health risks of dirty fuel usage. Our simulation demonstrates that although the provision of information results in statistically significant changes in households’ cooking fuel usage patterns and in individuals’ health status, these changes may be small in size.     

Socioeconomic Impacts of Public Forest Policies on Heterogeneous Agricultural Households

Nepal has a long history of returning public forests to local people as part of its community forestry programme. In principle the community forestry programme is designed to address both environmental quality and poverty alleviation. However, concern has been expressed that forest policies emphasise environmental conservation, and that this has a detrimental impact on the use of community forests in rural Nepal where households require access to public forest products to sustain livelihoods. To study the effect of government policies on forest use, an economic model of a typical small community of economically heterogeneous households in Nepal was developed. The model incorporates a link between private agriculture and public forest resources, and uses this link to assess the socioeconomic impacts of forest policies on the use of public forests. Socioeconomic impacts were measured in terms of household income, employment and income inequality. The results show that some forest policies have a negative economic impact, and the impacts are more serious than those reported by other studies. This study shows that existing forest policies reduce household income and employment, and widen income inequalities within communities, compared to alternative policies. Certain forest policies even constrain the poorest households?? ability to meet survival needs. The findings indicate that the socioeconomic impacts of public forest policies may be underestimated in developing countries unless household economic heterogeneity and forestry??s contribution to production are accounted for. The study also demonstrates that alternative policies for managing common property resources would reduce income inequalities in rural Nepalese communities and lift incomes and employment to a level where even the poorest households could meet their basic needs.     

Is there a retirement consumption puzzle in Japan? Evidence from a household panel dataset spanning several years

Using a unique long-run panel of Japanese households, this paper examines the changes in consumption at retirement (‘the retirement-consumption puzzle’). Our analysis shows that households’ expenditure does decline after the retirement of the household head and that changes in household composition at retirement cannot fully account for this decline. Changes in life-style/preferences after retirement also do not appear to explain a salient feature of the expenditure decline, namely, the strong correlation between the magnitudes of the expenditure decline and the income decline upon retirement. On the other hand, our finding that the expenditure decline is larger for households with smaller savings and/or that experienced a large unexpected income decline is broadly consistent with the standard LC/PIH augmented with unexpected shocks, while it does not rule out the possibility that there is a relatively small subset of households that are myopic and lack sufficient saving discipline.     

Accounting for the Changing Role of Family Income in Determining College Entry

In this paper, I analyze the determinants of college enrolment and the changes in these determinants over time. I propose a quantitative life‐cycle model with college enrolment. Altruistic parents provide financial support to their children. Using counterfactual experiments, I find that 24 percent of all households are financially constrained in their college decision. Constraints become more severe over time. I show that my model is consistent with a narrow college enrolment gap between students from rich and poor families, as previously reported in the empirical literature. The estimation of enrolment gaps is a popular reduced‐form approach for measuring the fraction of constrained households. My results suggest that these reduced‐form estimates are misleading, and that a structural model of parental transfers is needed to correctly identify constrained households. Further, I show that parental transfers are an important driver behind the changing role of family income as a determinant of college entry, a fact that is well documented for the US economy.     

Child endowments and parental investments: Intra‐household allocation in oportunidades families in Mexico

This paper estimates a family fixed‐effects model to test whether parental educational investments are reinforcing or compensating differences in child height and body mass index (BMI) within Oportunidades households. The results indicate that allocations are not made in response to endowment differences in isolation, but depend on the interaction of child endowment, gender, and beneficiary status. Moreover, investments are made so as to counterbalance efficiency and equity considerations: widening differences in height but closing gaps in BMI, where both strategies maximize returns given the earnings–endowment function for height and BMI in Mexico. Finally, household socio‐economic status matters. Thus, discriminatory responses within the better‐off urban beneficiary households are smaller. In contrast, indigenous beneficiary households, which have the lowest average endowment z‐scores and fraction spent on education, see the largest differences in educational outlay between child subgroups. While the economic effects seem small, these are measured relative to the mean of the base category. In some cases, then, parents are dedicating nearly a quarter of all expenditures to education for a standard deviation increase in endowment over mean sibling endowment. Hence, it seems that the success of the Oportunidades program in improving overall human capital formation may be masking rising inequalities within recipient households.     

制度变迁在天然林保护工程中的作用

天然林保护工程是在政府推动下实施的,属于强制性制度变迁。本文分析了这项制度变迁所遇到的阻力,天然林区林业职工、农林利益受损和地方财政收入减少是阻力产生的根源。为了使天然林保护工程能够顺利实施,笔者提出了减少阻力的对策,即采取各种措施以对利益受损者进行补偿和扶持。     

FINDING THE POOR

As a basis for judging how public policy affects the poor, this article explores how "poor" families may be defined and how well such families can be distinguished from other families in the less developed countries. This is done by seeking proxies for poverty which are relatively easy to measure, accurate in discriminating between the poor and the non-poor, and relevant to public policy. To this end, a highly parsimonious model is developed, based on truncation and regression procedures, using only family size and number of wage earners in addition to either income or an education-age combination. Application of this model to data from household surveys in three major cities of Latin America shows that the model is highly effective in pinpointing poverty households, although the pattern of errors is not random, the most frequent type of error being to classify poverty households as non-poor.
Especially significant is that the model is nearly as effective for discriminating poverty households from others when financial variables are excluded as when they are included. This would suggest that a good deal of flexibility exists in deciding what variables to include in future studies of this type. The results also suggest that even better results should be possible if more complete information is obtained on the employment status of the different members of the household and on the contribution of each to household income. Ideally, the data collection and model development should proceed in an iterative manner since there are numerous possible variables as well as alternative model formulations.