Energy consumption of urban households in China

We estimate China urban household energy demand as part of a complete system of consumption demand so that it can be used in economy-wide models. This allows us to derive cross-price elasticities unlike studies which focus on one type of energy. We implement a two-stage approach and explicitly account for electricity, domestic fuels and transportation demand in the first stage and gasoline, coal, LPG and gas demand in the second stage. We find income inelastic demand for electricity and home energy, but the elasticity is higher than estimates in the rich countries. Demand for total transportation is income elastic. The price elasticity for electricity is estimated to be −0.5 and in the range of other estimates for China, and similar to long-run elasticities estimated for the U.S.     

收入分配与中国居民消费——理论和基于中国的实证研究

本文研究了城乡收入差距扩大对中国居民消费需求的影响.基于生命周期框架的理论研究表明,收入水平越高,居民平均消费倾向和边际消费倾向越低;收入差距越大,居民消费需求越低.文章使用1978—2008年我国28个省、市、自治区的面板数据对理论模型进行了实证检验.结果显示,收入水平提高10000元,居民平均消费倾向下降25.6%,边际消费倾向下降7%;城乡收入差距扩大1单位,居民消费率下降6.5个百分点.数值模拟结果表明,城乡收入差距扩大导致居民消费率在2000—2008年间下降了3.42个百分点,解释了这一期间居民消费率下降的30.8%     

The Influence of Demographics and Household-Specific Price Indices on Consumption-Based Inequality and Welfare: A Comparison of Spain and the United States

Previous research has suggested that inequality is lower in Spain than in the United States when it is based on income. For the present article, both inequality and social welfare are examined, with household consumption expenditures used as a proxy for household welfare. For tractability, equivalence scales depended only on the number of people in the household. Household-specific price indices were used to express the 1990-1991 expenditure distributions in 1981 and 1991 winter prices. Our results reveal that inequality and welfare comparisons are drastically different for smaller and larger households. When all households are considered, the two-country comparison suggests that the income inequality ranking can only be maintained for expenditure distributions when economies of scale are small or nonexistent. However, welfare is always higher in the United States than in Spain. Because inflation during the 1980s in both countries was essentially distributionally neutral, all results appear to be robust to the choice of time period.     

The determinants of income inequality in Thailand: A synthetic cohort analysis

This paper presents tests and estimates of the human capital model of income inequality using synthetic cohort data for Thailand: 1992–2011. The model focuses on four primary determinants of income inequality: mean per capita income levels, the variances in years of education, in the number of children, and in the number of earners in the household. All of these factors are important sources of income inequality in Thailand, with relative impacts that differ across demographic groups and types of household structure. An inverted-U relation between mean per capita income levels and inequality is found, reflecting gender differences of the head of household, differences in household composition, and variation in access to finance. Although the human capital model emphasizes education, estimates presented here show other household characteristics, such as number of children and number of earners, can be even more important sources of inequality.     

Non-monetary dimensions of well-being in South Africa, 1993–2004: A post-apartheid dividend?

Existing studies on shifts in income welfare in South Africa since the demise of apartheid suggest that income inequality increased, while headcount poverty rates declined since 2000, after some evidence of an increase or no change in poverty in the 1995–2000 and 1996–2001 periods. This study provides an analysis of the shifts in non-income welfare that have occurred in South Africa between 1993 and 2004. We use factor analysis to construct an asset index as a measure of non-income-based welfare. Variables reflecting household access to a range of services and assets are used in the construction of the index. Significantly different results emerge when non-income welfare shifts are considered: we show statistically significant decreases in the headcount asset poverty rates between 1993 and 2004 across a range of covariates. Finally, asset inequality decreased significantly between 1993 and 2004 – in stark contrast to results based on consumption data.     

Projecting meat and cereals demand for China based on a meta-analysis of income elasticities

There are many projections for China's food demand, and the projection results differ significantly from each other. Different values for income elasticities could be a major reason. This study projects meat and cereals demand for China based on a meta-analysis of the income elasticity estimates using a collection of 143 and 240 income elasticity estimates for cereals and meat products, respectively, from 36 primary studies. We find that income elasticities for most cereals (general cereals, rice, and coarse grains) and all meat products (general meat, pork, poultry, beef & mutton) tend to decline as per capita income increases, except for wheat, which increases. Taking this into account, differences between consumption projections based on time-varying income elasticities and values based on constant elasticities are substantial in quantities and increase over time.     

Estimation and Determinants of the Philippines' Household Carbon Footprint

Estimation of a household carbon footprint in developed countries is abundant in the literature but there are few studies from developing countries. This paper presents an estimation of household carbon emission from the consumption of various goods and services in the Philippines. We estimate household emissions by combining input–output analysis with household expenditure for 2000 and 2006. After controlling for household characteristics, the analyses reveal that income has a significant nonlinear relationship with emissions, depicting an inverted U‐shaped with a turning point beyond the current income distribution. Unless consumption patterns change, it is likely that there will be further increases in emissions as households become more affluent.     

Re-estimating gender differences in income in South Africa: The implications of equivalence scales

Most studies of poverty and inequality in South Africa measure individual welfare by deflating total household resources, such as income, by household size. This per-capita method makes no adjustments for the different consumption needs of children or for household economies of scale. However, in addition to being more likely to live in households where average per-capita household income is lower compared with men, we show that women in South Africa also live in significantly larger households which include more children. These gendered differences in household composition are driven to a large degree by low rates of co-residency between men and women. We therefore investigate how adjusting household resources for the presence of children and economies of scale affects measures of the gender gap in income.     

Housing prices and the high Chinese saving rate puzzle

China's over 25% aggregate household saving rate is one of the highest in the world. One popular view attributes the high saving rate to fast-rising housing prices in China. However, cross-sectional data do not show a significant relationship between housing prices and household saving rates. This article uses a simple consumption-saving model to explain why rising housing prices per se cannot explain China's high household saving rate. Although borrowing constraints and demographic changes can translate housing prices to the aggregate saving rate, quantitative simulations of our model using Chinese time-series data on household income, housing prices, and demographics indicate that rising mortgage costs can increase the aggregate saving rate by at most 2 to 4 percentage points in the best down-payment structure.     

Food Price Crisis,Poverty, and Inequality

This paper simulates how a doubling of food prices affects absolute poverty and the food‐price‐adjusted real income distribution. We assume unsubsidized world food prices in order to derive the cost of poverty deepening and poverty expansion. We also estimate the degree to which inequality increases if no measures are put in place to offset rising food prices. Both measures are vulnerability indicators useful for social policy planning. Our results show that low‐income countries experience dramatic increases in absolute poverty as a result of doubling food prices. Middle‐income countries experience the greatest decrease in absolute income, which contributes most to an increase in world income inequality. The paper estimates that the global dollar value of the absolute poverty gap ($1.25/day) has the potential to increase by 400%, with poverty deepening accounting for two thirds of the increase.     

E-commerce and Consumption Inequality in China

Consumption inequality may impede economic development and hinder the achievement of common prosperity. Using three waves of the China Family Panel Studies from 2014 to 2018, this paper investigated the impact of e-commerce on consumption inequality, as measured by the Kakwani index. The results indicate that e-commerce can reduce household consumption inequality. A mechanism analysis shows that e-commerce can narrow household income inequality, increase the purchasing power of low-income households, and promote the consumption of households with limited access to offline markets, thereby reducing the consumption gap. A heterogeneity analysis suggests that the positive role of e-commerce in reducing consumption inequality can be more significant among vulnerable households, such as households with elderly members and less-educated households. E-commerce can have varying impacts on consumption inequality across different subcategories of household expenditure, with the greatest impact seen in entertainment and education expenditure. These findings provide new evidence for the role of e-commerce in reducing consumption inequality in the digital economy, and the implications of this are discussed.     

Decomposing income inequality in a backward pre‐industrial economy: Old Castile (Spain) in the middle of the eighteenth century

Research on economic inequality in early modern Europe is complicated by the lack of appropriate data for reconstructing income or wealth distributions. This article presents a study of income inequality in mid‐eighteenth‐century Old Castile (Spain) using the Ensenada Cadastre, a census conducted between 1749 and 1759. The article describes the information provided by this census and then discusses its advantages and disadvantages for reconstructing income profiles and calculating income inequality. This is followed by analysis of a dataset derived from the Cadastre that consists of more than 4,000 observations from Palencia (a province in northern Spain) and contains information on sources of household income, each household head's main occupation, residence location, and other household characteristics. Demographic data from this census is used to weight observations in the sample and thereby minimize selection bias. Findings show that inequality in eighteenth‐century Spain was probably substantial despite its relative backwardness; that the relationship between inequality and per capita income was not clear‐cut and was probably influenced by measurement of the higher incomes; and that although income inequality was largely driven by uneven land distribution, labour income also contributed to overall inequality—especially in urban centres.     

Comparing alternative measures of household income: Evidence from the Khayelitsha/Mitchell's plain survey

Household income is widely used for economic and sociological analysis, yet little emphasis has been placed on the optimal way to gather household income data. The Khayelitsha/Mitchell's Plain Survey provides a unique opportunity to explore alternative ways of measuring household income. This study compares the estimates obtained from a household module with those obtained from detailed income data collected in the adult module of the survey. Estimates derived from individual income data tend to be higher and have greater variation than those obtained from the household module. This difference between income estimates has a material impact on the secondary analysis of income data. The Gini coefficient, a simple measure of income-inequality, is used in this study to illustrate how household income measured at the household level underestimates household income inequality.     

Comment: On the Interpretation (and Misinterpretation) of Inequality Decompositions by Income Sources

This paper discusses interpretations of different inequality decomposition rules when inequality is decomposed by income sources. It argues that authors of a recent article based their conclusions on misinterpreted decomposition results. It also argues that marginal effects, derived as elasticities of inequality with respect to uniform increases in income from each source, are easily interpreted and can be compared across different decomposition rules.     

Will China's WTO accession worsen farm household incomes?

Many fear China's accession to the World Trade Organization (WTO) will impoverish its farmers via greater import competition in its agricultural markets. We explore that possibility bearing in mind that, even if producer prices of some (land-intensive) farm products fall, prices of other (labor-intensive) farm and nonfarm products could rise. New estimates, from the global, economy-wide numerical simulation model known as Global Trade Analysis Project (GTAP), of the likely changes in agricultural and other product prices as a result of WTO accession, are drawn on to examine empirically the real income implications of China's WTO accession. The results suggest farm–nonfarm income inequality may well rise within China but rural–urban income inequality need not. The article concludes with some policy suggestions for alleviating any pockets of farm household poverty that may emerge as a result of WTO accession.     

Migration,population aging,and income inequality in China

In this study, we examine the effects of four demographic factors, namely, birth, death, natural aging, and net migration, on population aging and income inequality in China. We use the official Chinese data and the China Household Income Project Survey data for the 2007–2013 period and apply a decomposition model based on the Shapley method. Unlike previous studies, we include migration in our decomposition model and find that natural aging is the primary factor contributing to population aging in both urban and rural areas. Further, migration may accelerate population aging in rural areas. Moreover, migration contributes to reducing income inequality in urban areas, while widening income inequality in rural areas. The effect of migration is larger than those of birth, death, and natural aging on income inequality. The robustness checks confirm these conclusions.     

Broadcast Advertising and U.S. Demand for Alcoholic Beverages

Quarterly data for 1977-1994 on alcohol consumption and advertising are used to estimate a differential demand system, including explanatory variables for broadcast advertising and print advertising. The model explains the growth rate of per capita consumption dependent on explanatory variables for prices, real income, demographic changes, and real advertising by media and beverage. Empirical results also are reported for total consumption of pure alcohol. The results for the three beverages and total alcohol indicate that advertising has little or no effect on demand. The empirical evidence thus supports the notion that regardless of media, advertising affects mainly brand shares.     

Income versus Consumption Inequality in Korea: Evaluating Stochastic Dominance Rankings by Various Household Attributes

Using four rounds (1999, 2002, 2005 and 2008) of the Korean Labor and Income Panel Study, the present paper examines determinants of household income and consumption levels and inequalities. Unconditional as well as conditional stochastic dominance tests are performed by year, by household heads’ characteristics (age, education, gender, health, marital status and occupation) and by household characteristics (household type, household size and degree of urbanization). Mean least squares regression techniques are used to predict conditional expectations. The residuals containing effects for each characteristic conditional on the remaining characteristics are then used for the stochastic dominance analysis employing extended Kolmogorov–Smirnov tests of first‐order and second‐order dominance in distribution of income and consumption. The results provide a detailed and up‐to‐date picture of inequality and poverty by subgroup in Korea, which helps in targeting particularly vulnerable groups. While inequality in disposable income is found to be substantial, consumption inequality is less substantial. Households headed by the elderly, the uneducated, the divorced, the widowed, females, and those with health problems are found to be the most vulnerable groups.     

Explaining The <Emphasis Type="Italic">Hump</Emphasis> In Life Cycle Consumption profiles

Summary  This paper documents life cycle (or age) profiles of (log) household income, durable and non-durable consumption for Dutch households after explicitly controlling for time (or business cycle) effects and birth cohort effects. We find that both measures of consumption as well as income is clearly hump shaped over the life cycle. Hence, real consumption per household seems to track income over the life cycle. This empirical regularity is hard to reconcile with basic specifications of the life cycle model. We further document life cycle profiles of demographic and labor supply variables. We argue that part, but not all, of the hump in consumption may be explained by household composition variables. Durable consumption per adult equivalent stays approximately flat until age 60 after which it drops dramatically. This phenomenon may be partly explained by a decrease in work related durable expenditures after retirement. Non-durable consumption per equivalent adult increases steadily until age 55 and stays approximately flat after that.