中国居民家庭的收入变动及其对长期平等的影响

本文利用“中国经济、人口、营养和健康调查”1 989— 1 997年期间 4期家庭收入和家长特征的模块数据 (paneldata) ,用时间依赖定义收入变动 ,度量了全体家庭和分4种类型的家庭在上世纪 80年末至 90年后半期的收入变动。发现在总体收入分配中 ,高比例持续贫困的发生比较分散 ,并不固定在哪一类型的家庭上。平均而言 ,农村家庭的持续贫困比例稍高。与此相反 ,持续高收入的家庭集中在城市、郊区和城镇 ,农村的富裕家庭变动大 ,收入不稳定。分组家庭之间 ,农村家庭的收入变动最大。分组家庭内部 ,家长为中年和壮年人的家庭人收入景况较好 ,富裕老人家庭能否保持富裕在农村和在其它分组差别很大。总体而言 ,我国居民家庭收入分配的变动在这一时期减慢 ;收入变动在所有4个时期内都有利于分配的平等 ,2 0世纪 90年代中期后在农村和城镇家庭的作用大幅减弱 ,但对改善城市家庭的平等分配作用增强。     

Adding value through the mechanization of post-harvest cassava processing,and its impact on household poverty in north-eastern Zambia

This article investigates the impact of adopting a mechanized cassava processing system on household poverty levels in Zambia. An Foster, Greer and Thorbecke (FGT) poverty measure was used to compare poverty levels among households using a mechanized cassava processing system against those households using a nonmechanized process. Based on the FGT poverty measure’s specifications, a significantly lower poverty status of 49% was found among households using the mechanized process when compared to the 58% found among households using the nonmechanized process. The significant factors contributing to these differences in poverty levels include whether households are using a mechanized process or not, the number of years’ schooling among household members, the number of years’ farming experience, household income and membership of associations. The study concludes that the mechanization of cassava processing, particularly if done on the right scale, can transform primary production activities, in turn leading to higher incomes and reduced poverty levels in rural villages. Thus, policies should be introduced aimed at encouraging the promotion of mechanized post-harvest cassava processing technologies among rural households, so as to enhance crop productivity and household income levels, as well as reduce poverty among rural households.     

The influence of spouses on household decision making under risk: an experiment in rural China

We study household decision making in a high-stakes experiment with a random sample of households in rural China. Spouses have to choose between risky lotteries, first separately and then jointly. We find that spouses’ individual risk preferences are more similar the richer the household and the higher the wife’s relative income contribution. A couple’s joint decision is typically very similar to the husband’s preferences, but women who contribute relatively more to the household income, women in high-income households, and women with communist party membership have a stronger influence on the joint decision.     

Household Use of Agricultural Chemicals for Soil-Pest Management and Own Labor for Yard Work

In spite of its potential health and environmental risks and contribution to agribusiness, the use of agricultural chemicals for yard care has not been well studied. In our discrete-continuous choice model, estimated with data from a national survey, a household chooses how much money, if any, to initially spend on types of agricultural chemicals and applicators and how much time to subsequently spend on other yard work. Households in big cities or with large gardens are more likely to use organic chemicals. The probability that a household chooses a mix of do-it-yourself and hired applications of synthetic chemicals increases with income, age, and the presence of preschoolers. Among households that apply only synthetic chemicals without hired help, those with young children, with higher incomes, in big cities, and with male heads spend more on the chemicals. The time that such households spend on other yard work increases with expenditures on the chemicals. Cancellation of a pesticide registration might create an extra private cost for households with young children even though the ban might reduce external costs.     

WHAT DETERMINES RELIGIOUS SCHOOL CHOICE? THEORY AND EVIDENCE FROM RURAL BANGLADESH

This paper looks at the determinants of school selection in rural Bangladesh, focusing on the choice between registered Islamic and non‐religious schools. Using a unique dataset on secondary school‐age children from rural Bangladesh, we find that madrasah enrolment falls as household income increases. At the same time, more religious households, and those that live further away from a non‐religious school are more likely to send their children to madrasahs. However, in contrast to the theory, we find that Islamic school demand does not respond to the average quality of schools in the locality.     

Lottery expenditures in Canada: a regional analysis of determinants and incidence

This article examines two issues; first, it evaluates the statistical significance of a number of socio-economic and demographic variables on the level of household lottery expenditures in the six regions of Canada. While some household characteristics vary in the extent to which they significantly affect the level of lottery expenditures across regions (wealth, age, occupation, mother tongue and urban location, for example), others are significant in every region. Regional consistency exists in the statistical significance of after tax household income, sex and education of the head of household – lottery expenditures increase as incomes increase; lottery expenditures are significantly lower for female heads of households than for their male counterparts; lottery expenditures decline as the education level of the head of household increases. Second, lottery expenditures are found to be regressive, although the degree of regressivity is less than for lotteries in the United States.     

The Impact of the German Child Benefit on Household Expenditures and Consumption

The German Child Benefit (‘Kindergeld’) is paid to legal guardians of children as a cash benefit. The benefit does not depend on household income or other household characteristics. I use exogenous variations in the amount of child benefit received by households in the German Socio‐Economic Panel to estimate the impact of a given change in the child benefit on food expenditures of households, the probability of owning a home, rent per square meter, measures of the size of the home, as well as parents’ smoking behavior and parents’ alcohol consumption. Households primarily increase per capita food expenditures in response to increases in child benefit, and they also improve housing conditions. The effect of child benefit on per capita food expenditures is larger for low‐income households compared to high‐income households. I do not find a significant effect of child benefit on parents’ smoking or drinking.     

Does the relationship between income and child health differ across income groups? Evidence from India

This study explores the relationship between child health and socioeconomic status (health-income gradient) using the Indian Human Development Survey-II (2011-12) for children up to 5 years of age. Unlike previous studies our empirical analysis allows the gradient to vary across different income intervals using linear and cubic spline regressions. We use objective measure of child health - height-for-age Z-scores and find that an increase in income, on an average leads to reduction in prevalence of stunting. We also find differential effect of income on health across the income distribution with no effect of income on child health for very poor households. Further we explore underlying factors explaining the gradient and find that maternal health, housing quality, sanitation, non-infectious environment, media exposure to women and a safe neighbourhood are transmission channels that affect child health and together they explain almost 40% of the overall income effect. One of the major implication of our findings is that any policy to increase income of poor households should be complemented with a health policy designed specifically towards children as poor households are less likely to allocate additional income to child health.     

INCOME,CONSUMPTION AND SAVING IN URBAN AND RURAL INDIA*

The main purpose of the study is to determine the savings potential of urban and rural households in India and in the process determine the possible savings and consumption functions separately for urban and rural areas. Four different possible functions have been used for determining the savings behaviour of the households both at the aggregate level and at the per capita level. The rural households, according to the results, have an extremely low rate of saving with income elasticity of saving of less than unity. For the urban households on the other hand, the income elasticity of saving is high enough to suggest the possibilities of considerably high savings potential. To understand the consumption behaviour of these households, the long-run and the short-run marginal propensities to consume and the marginal propensities to consume out of‘permanent’ or ‘normal’ income and ‘transitory’ income have been worked out. For the urban sector none of these give encouraging enough results and the analysis has been extended to examine whether other factors like prices and household assets are of any significance. Whereas for the rural sector, Milton Friedman's theory of ‘permanent’ or ‘normal’ income is somewhat substantiated, other factors like ‘transitory’ income, prices and assets appear to inthence urban consumption behaviour though no single one of them substantially enough. A negligible effect of ‘permanent’ income on urban consumption behaviour is, on the other hand, very clearly suggested by the results. Household consumption and savings have next been projected using the above results to determine the possible levels for the next three years. The results suggest that the rate of domestic savings likely to be achieved by the end of the Third Five Year Plan (1965–66) falls short of the targets laid down.     

Educational expenditure in urban China: income effects,family characteristics and the demand for domestic and overseas education

Analysing survey data from 32 selected cities across China in 2003, this article examines parents’ expenditure on their children's education from two aspects: factors affecting domestic education expenditure and factors affecting expenditure on overseas education. The main findings that emerge from this study are as follows. First, household income has significant effects on the magnitude of the domestic and overseas educational expenditures. Second, households where mothers have senior secondary school or college education, and fathers are working in professional occupations are likely to spend more on education for their children. Third, being in the highest income category, having a college-educated father, having a mother who is a cadre or middle professional and living in a coastal area significantly enhances the probabilities for the households sending their children overseas for education.     

Understanding Rising Income Inequality in Germany, 1999/2000–2005/2006

We examine the factors behind rising income inequality in Europe's most populous economy. From 1999/2000 to 2005/2006, Germany experienced an unprecedented rise in net equivalized income inequality and poverty. At the same time, unemployment rose to record levels, part‐time and marginal part‐time work grew, and there was evidence for a widening distribution of labor incomes. Other factors that possibly contributed to the rise in income inequality were changes in the tax and transfer system, changes in the household structure (in particular the rising share of single parent households), and changes in other socio‐economic characteristics (e.g., age or education). We address the question of which factors were the main drivers of the observed inequality increase. Our results suggest that the largest part of the increase was due to increasing inequality in labor incomes, but that changes in employment outcomes and changes in the tax system also contributed considerable shares. By contrast, changes in household structures and household characteristics, as well as changes in the transfer system only seem to have played a minor role.     

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.     

Non-farm Income and Consumption Expenditures in Rural Bangladesh: Empirical Evidence from Multilevel Regression Modelling

This study examines the effects of non-farm income on household consumption expenditures in rural Bangladesh. A two-stage endogenous treatment effect model is built on data from a nationally representative Household Income Expenditure Survey (HIES) 2010 to control selection bias. The HIES follows a hierarchical data structure because the survey is based on two-stage stratified sampling. A multilevel mixed-effects linear regression model is used to capture the unobserved heterogeneity between clusters (PSUs) along with revealing important factors. Results reveal that non-farm income has a significant positive effect on household’s consumption expenditures and non-farm income recipient households spend about 29% more than their counterparts. In addition, higher level of per capita income, education, smaller family size and lower dependency ratio are found to be more effective in increasing consumption expenditures of rural households. Significant cluster-level variations are observed in the analyses. This study recommends that non-farm income generating activities should be encouraged among rural households as this would raise their consumption expenditures and hence, improve welfare and living standards among them.

     

On the redistributive effects of Germany’s feed-in tariff

This article assesses the redistributive effects of a key element of German climate policy, the promotion of renewables in the electricity generation mix through the provision of a feed-in tariff. The tariff shapes the distribution of households’ disposable incomes by charging a levy that is proportional to household electricity consumption and by transferring financial resources to households who are feeding green electricity into the public grid. Our study builds on representative household survey data, providing information on various socio-demographics, household electricity consumption, and ownership of photovoltaic facilities. The redistributive effects of the feed-in tariff are evaluated by means of inequality indices. All the indices indicate that Germany’s feed-in tariff is regressive.     

“收入导向型”多维贫困的识别与流动性研究*——基于CFPS调查数据农村子样本的考察

本文结合收入及健康、教育、生活状况、卫生状况和食物支出五个非收入指标,构建了“收入导向型”多维贫困指数,采用中国家庭追踪调查（CFPS）数据的农村子样本,考察多维贫困的识别、追踪和流动性问题。在比较了6维贫困指标和多维贫困指标对贫困识别的效果后研究发现,仅依据收入、教育和生活状况三个维度即可有效识别和追踪贫困家庭,并且在这三个维度下均处于贫困状态的农村家庭跳出贫困陷阱的概率显著低于一般收入贫困家庭。研究表明,扶贫政策应当在减少收入贫困基础上更多关注多重剥夺对贫困家庭整体福利的影响,并致力于提高贫困家庭的持续脱贫能力以增强其跳出贫困陷阱的可能性。     

Remittances channels and the physical growth of Honduran children

Ensuring the availability of food and other resources for young children is important for sustaining physical growth. We examine the role of remittances and its associated implications in determining heights and weights of 4459 children aged 0–5 years in Honduras in 2004. To address the endogeneity problem with household remittance receipt, we take advantage of the timing of Hurricane Mitch in 1998 to construct instrumental variables that are exogenously related to migration decisions made before children included in the later survey were conceived. We find that children are significantly taller and heavier for their age and gender in households receiving remittances. Further investigation of household spending indicates significant changes in food purchases and dietary diversity. Households receiving remittances are more likely to include fish, fruits, and meats in their diets. Additional findings also indicate that households receiving remittances spend absolutely more on food, health care, education, and durable goods. Overall, the findings provide strong evidence that remittances change household consumption and increase children’s body sizes.     

ICT adoption and income diversification among rural households in China

ABSTRACT

Although the determinants of income diversification have been widely examined in the literature, little is known about whether and how information and communication technology (ICT) adoption affects household income diversification. To fill in this gap, this paper examines the impact of ICT adoption on income diversification among rural households in China, utilizing open-access data collected through the China Labour-force Dynamics Survey project. We employ a two-stage treatment effects model to address the potential selection bias issue associated with ICT adoption. The empirical results show that ICT adoption exerts a positive and statistically significant impact on income diversification. Further analyses reveal that ICT adoption is more beneficial to low-income rural households and those residing in eastern and central parts of China when it plays a role in diversifying rural income. Our findings suggest that improving rural education and infrastructure such as roads and broadband facilities can help enhance ICT adoption among rural households, which subsequently increases income diversification.     

四川城镇化与农民收入关系的协整分析

采用协整分析方法、建立误差修正模型对四川城镇化与农民各种收入之间的关系进行实证分析,结果表明四川城镇化与农民各种收入之间存在长期均衡关系,城镇化对农村居民人均总收入、农村居民家庭人均现金收入和农村居民家庭经营收入在长期有显著影响,而对农村居民人均纯收入和工资性收入的影响不显著,但四川城镇化对农民各种收入的短期影响均不显著,说明目前四川农村与城镇化发展并不协调。因此,城镇化发展对四川农民增收具有重要意义,建议未来城镇化发展中应更多地关注农民利益,加快农村劳动力转移和农民市民化步伐,以共享增长,促进城乡和谐发展。     

Public inputs and child schooling in Brazil

Household data from a one percent sample of the 1970 Brazilian census are used to analyze the effect of public inputs, i.e., the ‘supply’ of schooling, on children's school attainment in Brazil. The household data are combined with measures of school availability and quality derived directly from the same census data; the measures are based on the income and education of schoolteachers in each of 169 different areas of the country. Elasticities of demand with respect to these public inputs are estimated; these elasticities are high in both rural and urban areas. In urban areas, the positive effect of public inputs is greater for children from households with poorer and less-educated parents. In rural areas, the positive effect of public inputs is greater, if anything, for children from households that are relatively better off, at least compared to other rural households.     

Caste, Inequality, and Poverty in India

This paper analyses inequality and poverty in India within the context of caste‐based discrimination. It does so by decomposing the difference between (caste) Hindu and Scheduled Caste (SC) and Scheduled Tribe (ST) households in: their average household incomes; their probabilities of being in different income percentiles; their probabilities of being at different levels of poverty into: a “discrimination effect”, which stems from the fact that a household's income level, into which its (income‐generating) profile translates, depends on whether it is SC/ST; an “attributes (or residual) effect” which stems from the fact that there are systematic differences between SC/ST and Hindu households in their (income‐generating) profiles. The results, based on unit record data for 28,922 households, showed that at least one‐third of the average income/probability differences between Hindu and SC/ST households was due to the “unequal treatment” of the latter.