Household dynamics and fuelwood consumption in developing countries: a cross-national analysis

Previous research has suggested a link between household dynamics (i.e., average household size and number of households) and environmental impacts at the national level. Building on this work, we empirically test the relationship between household dynamics and fuelwood consumption, which has been implicated in anthropogenic threats to biodiversity. We focus our analysis on developing countries (where fuelwood is an important energy source). Our results show that nations with smaller average households consume more fuelwood per capita. This finding indicates that the household economies of scale are, indeed, associated with the consumption of fuelwood. In addition, we found that number of households is a better predictor of total fuelwood consumption than average household size suggesting a greater relative contribution to consumption levels. Thus, insofar as declining average household sizes result in increased number of households and higher per capita consumption, this trend may be a signal of serious threats to biodiversity and resource conservation. We also found further support for the ??energy ladder?? hypothesis that economic development reduces demand for traditional fuels.     

老龄化对储蓄和社会养老保障的影响研究

本文从一个两期的世代交叠模型入手,分析了人口老龄化对储蓄和社会养老保障支出的影响。在此基础上运用动态GMM模型对我国2000～2008年地区面板数据进行实证分析。研究结果表明:第一,人均居民储蓄滞后项对基期储蓄的影响作用较大且高度显著;当期老年人口抚养比对人均居民储蓄的影响为负,上期老年人口抚养比对居民储蓄并没有显著影响。第二,人均养老保障支出滞后项对当期人均养老保障支出影响作用较大且高度显著;当期老年人口抚养比对人均养老保障支出有促进作用,而上期老年人口抚养比抑制了人均养老保障支出的增加。     

Racial differences in per capita income, 1960–76: The importance of household size,headship, and labor force participation

Racial differences in average per capita income are decomposed, as are changes over time for both races. The 1960–76 decline in household size accounted for 13 percent of the per capita income inprovement of both races. Whereas real increases in earnings of husbands contributed most to improvements in well-being in husband-wife households, increases in income from sources other than earnings were most important to female headed households. During a period in which a growing proportion of both races resided in female headed households and racial differences in living arrangements widened, the per capita income of female headed households relative to husband-wife households declined.     

An Econometric Analysis of the Relationship Between Millennium Development Goals,Economic Growth and Financial Development in South Africa

The relationship between financial development, economic growth and millennium development goals are unsettled in the literature. Using four indicators of financial development, this paper studies the link between the three variables in South Africa. In general, per capita income improves per capita spending on education in the short run. However, total domestic credit to GDP ratio decreases spending on education. There are highly significant long run relationships among the variables. Improving access to private sector credit and increasing per capita incomes are associated with improvement in health outcomes in South Africa. There are no short run nor long run relationships between household spending on clothes, economic growth and financial sector development. Improved private sector credit also improves household spending on food. In general, there are long run relationships between per capita spending on food, per capita income and financial sector development.

     

Attitude Toward Menopause and Aging: A Study on Postmenopausal Women of West Bengal

We examined the attitude of postmenopausal women toward menopause and aging with respect to sociodemographic variables and postmenopausal years. Four hundred and eighty postmenopausal women representing Bengali-speaking Hindu ethnic group of West Bengal, India were interviewed about their attitude toward menopause and aging. Information on sociodemographic and reproductive characteristics and menopausal symptoms were also collected. The participants were categorized into four groups based on postmenopausal years (Group 1: ≤2; Group 2: >2 to ≤5; Group 3: >5 to ≤8; and Group 4: >8). The attitude did not differ significantly among different groups, but it differed significantly when compared for residential status and per capita monthly household expenditure (pooled groups), for residential and educational status (Groups 3 and 4), and per capita monthly household expenditure (Group 3). Hierarchical linear regression (stepwise) shows per capita monthly expenditure, age at menopause, years after menopause, and menopausal symptoms (irritability and inability to hold urine) significantly predict attitude.     

The Transport System and Society’s Metabolism in the UK

This paper analyses the interrelation between the transport system and measures of resource consumption such as material and energy consumption over a 60-year period (1937–1997) in the UK. Non-motorized transport and time consumption for mobility are estimated in addition to conventional measures of transport. During the period analyzed, the UK population grew by 20% while transport of goods and persons increased more than threefold and material and energy consumption almost doubled. The transport intensity of domestic material input (DMI) doubled to 300 ton-kilometers (tkm) per ton of DMI while the transport intensity of domestic energy consumption (DEC) doubled to 20 tkm per gigajoule (GJ) of DEC. Thus, while the material and energy intensity of GDP declined significantly, a well-established trend in many advanced countries, the transport intensity of materials and energy consumption rose. These findings suggest a close link between transport, economic development, and long-term structural transformations. In the case of personal transport, a rebound effect was also observed: whereas the average speed of transport has greatly increased, the average number of hours per day devoted to personal transport has not declined.     

Chronic and Transient Poverty and Vulnerability to Poverty in the Philippines: Evidence Using a Simple Spells Approach

This paper uses panel data and two welfare indicators, namely per capita expenditure and per capita food expenditure, to determine the frequency that the households enter poverty and food poverty in the Philippines. Unlike other studies, this paper attributes similar factors to explain transient and chronic poverty but finds that these factors are more pronounced for the chronic case. Significant factors that contribute to both chronic and transient poverty and food poverty are the household heads’ low educational level, affiliation in economically unstable and risky occupations such as those in the agriculture, fishery and resource sectors and those who are unskilled laborers, the lack of health insurance and high dependency burden. The paper also finds that that vulnerability to poverty and food poverty in the Philippines is high especially in the rural districts and areas with armed conflict. Households that experience higher earnings, new job, abundant harvest, better health or receipt of remittance/inheritance are less likely to be chronically poor. Shocks related to labor market affect both transient and chronic food poverty while natural calamities or health deterioration of any household member increase the probability of the household falling into chronic food poverty. Policy suggestions to address both types of poverty are provided.     

How to Reduce the Impact of Equivalence Scales on Poverty Measurement: Evidence from Turkey

The main aim of the paper is to contribute to the poverty measurement literature by demonstrating a method to reduce the impact of equivalence scales in poverty measurement. This is accomplished by choosing the most appropriate reference household type. The results showed that one adult household is certainly not suitable for being the reference household type. When one adult household is set as the reference, in the range of no equivalence scale and per capita equivalence scale, poverty head count ratio changes from 1 to 48 %, showing the huge effect of the equivalence scale choice. Also the analyses at household size level showed that one adult household type is not convenient to be the reference household type. On the other hand, no clear distinction could be made between central household types, but the importance of choosing a household type close to the center was demonstrated for Turkish data.     

World Energy Production,Population Growth,and the Road to the Olduvai Gorge

The Olduvai theory is defined by the ratio of world energy production and population. It states that the life expectancy of Industrial Civilization is less than or equal to 100 years: 1930–2030. After more than a century of strong growth—energy production per capita peaked in 1979. The Olduvai theory explains the 1979 peak and the subsequent decline. Moreover, it says that energy production per capita will fall to its 1930 value by 2030, thus giving Industrial Civilization a lifetime of less than or equal to 100 years. This analysis predicts that the collapse will be strongly correlated with an epidemic of permanent blackouts of high-voltage electric power networks—worldwide.     

Population and the energy problem

When energy is scarce or expensive, people can suffer material deprivation and economic hardship. When it is obtained in ways that fail to minimize environmental and political costs, these too can threaten human wellbeing in fundamental and pervasive ways. The energy problem today combines these syndromes: much of the world's population has too little energy to meet basic human needs; the monetary costs of energy are rising nearly everywhere; the environmental impacts of energy supply are growing and already dominant contributors to local, regional, and global environmental problems (including air pollution, water pollution, ocean pollution, and climate change); and the sociopolitical risks of energy supply (above all the danger of conflict over oil and the links between nuclear energy and nuclear weapons) are growing too. This predicament has many causes, but predominant among them are the nearly 20-fold increase in world energy use since 1850 and the cumulative depletion of the most convenient oil and gas deposits that this growth has entailed, resulting in increasing resort to costlier and/or environmentally more disruptive energy sources. The growth of world population in this period was responsible for 52% of the energy growth, while growth in per capita energy use was responsible for 48% (excluding causal connections between population and energy use per capita). In the United States in the same period, population growth accounted for 66% of the 36-fold increase in energy use. In the late 1980s, population growth was still accounting for a third of energy growth both in the United States and worldwide. Coping with global energy problems will require greatly increased investment in improving the efficiency of energy enduse and in reducing the environmental impacts of contemporary energy technologies, and it will require financing a transition over the next several decades to a set of more sustainable (but probably also more expensive) energy sources. The difficulty of implementing these measures will be greatest by far in the developing countries, not least because of their high rates of population growth and the attendant extra pressures on economic and managerial resources. If efficiency improvements permit delivering the high standard of living to which the world aspires based on a per capita rate of energy use as low as 3 kilowatts—about a quarter of the current U.S. figure—then a world population stabilized at 10 billion people would be using energy at a rate of 30 terawatts, and a population of 14 billion would imply 42 terawatts (compare 13.2 terawatts in 1990). Delivering even the lower figure at tolerable monetary and environmental costs will be difficult; each additional billion people added to the world population will compound these difficulties and increase energy's costs, making everyone poorer.Presented at the Symposium on Population and Scarcity: The Forgotten Dimensions.     

Neighborhood Characteristics and Older Adults’ Well-Being: The Roles of Sense of Community and Personal Resilience

The ecological model stresses the importance of the neighborhood context to aging successfully. This cross-sectional study aimed to examine the associations between neighborhood characteristics (public space, senior population density, and senior service) and the well-being of older adults, with sense of community as a potential mediator and personal resilience as a potential moderator. The sample consisted of 628 individuals (aged 60–97 years) recruited from 32 neighborhoods in Beijing, China. They completed measures of resilience, sense of community, and well-being. Neighborhood characteristics, including per capita public space, senior population density, and senior services, were obtained from neighborhood committees. We used hierarchical linear modeling to analyze the individual data from participants’ self-reported measures and objective data regarding neighborhoods. The results showed that: (a) public space, senior population density, and senior services were positively associated with the well-being of older adults; (b) sense of community mediated the above associations; (c) the associations between neighborhood characteristics—such as per capita public space, senior services, and well-being—were strengthened by personal resilience. This study highlighted the importance of neighborhoods to older adult’s well-being, including objective characteristics and a subjective sense of community. Besides personal strength, enhancing neighborhood resources is recommended to promote the well-being of elderly people.     

中国城镇家庭户收入和财产不平等:1995～2002

利用中国家庭户收入调查收集的1995年和2002年城镇家庭户样本数据,以家庭户作为分析单位,对中国城镇收入和财产不平等进行了考察。数据分析结果表明:中国城镇家庭户收入的大多数不平等测量指标在1995～2002年7年间都存在一个显著的大幅度上升,但家庭户财产不平等在此期间呈现出略有下降的趋势;基于人口分组的分解反映出,区域、户主受教育程度和户主中共党员身份对总的家庭收入和财产不平等具有更大的贡献;总体上,对于1995～2002年的中国城镇而言,分类机制在左右家庭户资源不平等变动中扮演着更为重要的角色。     

Assessing Asset Indices

The use of asset indices in welfare analysis and poverty targeting is increasing, especially in cases in which data on expenditures are unavailable or hard to collect. We compare alternative approaches to welfare measurement. Our analysis shows that inferences about inequalities in education, health care use, fertility, and child mortality, as well as labor market outcomes, are quite robust to the economic status measure used. Different measures—most significantly per capita expenditures versus the class of asset indices—do not, however, yield identical household rankings. Two factors stand out in predicting the degree of congruence in rankings. First is the extent to which expenditures can be explained by observed household and community characteristics. Rankings are most similar in settings with small transitory shocks to expenditure or with little random measurement error in expenditure. Second is the extent to which expenditures are dominated by individually consumed goods, such as food. Asset indices are typically derived from indicators of goods that are effectively public at the household level, while expenditures are often dominated by food, an almost exclusively private good. In settings in which individually consumed goods are the main component of expenditures, asset indices and per capita consumption yield the least similar results.     

西部地区农民进城意愿影响因素分析——以陕西省为例

基于陕西省21县的调查数据。利用Logistic模型对农民的进城意愿进行实证分析。研究结果表明：文化程度、家庭人口数、家庭人均年收入、离城镇距离等对农民进城意愿有正向影响。婚姻状况、家庭承包土地数量有负向影响,而性别、年龄、技术、城镇经济发展水平等因素的影响不显著。     

居民消费增长的路径选择——基于省际面板数据的分析

文章利用1991～2009年中国31个省份城镇和农村居民的人口、消费支出和收入的数据,基于居民总消费分解模型,进行省际面板回归估计。实证结果表明,城镇居民消费支出增长对中国居民总消费增长的贡献率最大;农村居民消费支出增长的贡献率位列第二,但呈现出下降的趋势;农村向城镇人口迁移引起的消费支出增长的贡献率位列第三。考虑到城乡收入和消费支出的差异,文章认为,居民总消费增长的路径将主要依赖于城镇居民消费支出增长和农村向城市的人口迁移,并提出通过制度改革增加居民收入、放宽并完善人口迁移政策等建议。     

Social and Economic Indicators of Household Income in Turkey: Does Ethnicity Matter?

In Turkey, the GDP per capita of eastern regions, where the Kurdish population is dense, is significantly lower than that of the rest of the country. The aim of this paper is to provide a quantitative analysis to investigate the contribution of household characteristics and regional disparities on racial/ethnic inequalities in household income, particularly across Turks and Kurds. Based on the results of regression-based decomposition analyses, there exist significant income differences between Turks and Kurds. However, this difference significantly diminishes if the household head is working. It is also observed that the household income increases with education, while decreases with migration and being settled in economically disadvantaged regions. Results also indicate that differential returns to Turks and Kurds on observable characteristics are lower in higher income quintiles     

Shares of Housework Between Mothers,Fathers and Young People: Routine and Non-routine Housework,Doing Housework for Oneself and Others

This study applies wavelet coherency analysis to examine the relationship between the U.S. per capita real GDP and six income inequality measures over the period 1917 to 2012. Wavelet analysis allows the simultaneous examination of correlation and causality between the two series in both the time and frequency domains. Our findings provide robust evidence of positive correlation between the growth and inequality across frequencies. Yet, directions of causality vary across frequencies and evolve with time. Evidence that inequality leads per capita real GDP at both high- and low-frequencies exists for the Top 1 and 10% measures of inequality with little evidence that real GDP per capita leads inequality. In the time-domain, the time-varying nature of long-run causalities implies structural changes in the two series. These findings provide a more thorough picture of the relationship between the U.S. per capita real GDP and inequality measures over time and frequency, suggesting important implications for policy makers.     

人口增长、城市化对环境的影响——以CO2排放为例

基于1978—2007中国宏观经济时间序列数据,利用协整回归方法和误差修正模型(ECM),实证分析了人口增长、城市化水平、人均GDP和能源强度对CO2排放的影响。结果显示,人口总量、城市化水平、人均GDP和能源强度与CO2排放存在长期均衡关系。长期来看,人口总量对CO2排放量的影响最大,城市化水平其次,人均GDP最小。短期来看,能源强度和人均GDP对CO2排放波动影响较大,而人口总量和城市化水平影响不显著。