Social indicators of marital instability,U.S.A., 1920–1969

A social indicators model which included demographic variables (birth rate and aged child ratio), economic variable (unemployment) and marriage rates (control variable) was utilized in explaining changes in divorce rates over time. Analysis of time series data for two distinctive periods in the U.S.A. (1920–1940 and 1946–1969) revealed the following significant results:

1. Demographic changes in the age structure of the population while controlling for marriage rates explains significantly larger amounts of the variance in marital instability than economic changes alone (unemployment).
2. In the post-World War II era unemployment was not found to be a statistically significant predictor of marital instability when control for demographic changes were established.
3. In the post-World War II era marriage rates appear to be a significant predictor of divorce rates when control for demographic changes were maintained.
4. In the post-World War II era marriage rates were found to be more sensitive to changes in economic conditions than marital instability (divorce rate).

     

The relationship of the crude birth rate and its components to social and economic development

Using well-known techniques of regression analysis, we decompose the crude birth rate into six analytical components, indicating illegitimacy, the marriage rate, legitimate fertility, and sex and age composition. All the components except sex structure are important in determining differences in crude birth rates across countries of the world. The model is elaborated by showing how economic development affects the crude birth rate through its basic demographic components.     

Internal Migration and Development: Comparing Migration Intensities Around the World

Migration is the principal demographic process shaping patterns of human settlement, and it serves an essential role in human development. While progress has been made in measuring international migration, internal migration statistics are as yet poorly developed in many countries. This article draws on a repository of data established under the IMAGE (Internal Migration Around the GlobE) project to address this deficit by constructing the first comprehensive league table of internal migration intensities for countries around the world. We review previous work, outline the major impediments to making reliable comparisons, and set out a methodology that combines a novel estimation procedure with a flexible spatial aggregation facility. We present the results in the form of league tables of aggregate crude migration intensities that capture all changes of address over one‐year or five‐year intervals for 96 countries, representing four‐fifths of the global population. Explanation for the observed differences has been sought, inter alia, in historical, structural, cultural, and economic forces. We examine the links between development and migration intensity through simple correlations using a range of demographic, economic, and social variables. Results reveal clear associations between internal migration intensities and selected indicators of national development.     

Books and Publications Received

Mexican fertility has remained at a high level (a crude birth rate of 42–46) in spite of rapid economic development and its concomitants: rising levels of urbanization, education, income, and female labour force participation, and falling levels of infant mortality and agricultural population, combined with rural-urban migration.

Data on child-woman ratios and children-ever-born statistics, for Mexico and each state, suggest that the constant crude birth rate is not masking age or region-specific declines in fertility.

Cross-section regressions are employed in an attempt to explain Mexico’s paradoxical fertility behaviour. Using measures of income, education, urbanization, occupational status, industrial composition, labour force participation, and the sex ratio, in a weighted log-linear form, a large portion of the variation in state adjusted child-woman ratios is explained by the ‘demographic transition’ variables. The only two which might possibly explain the trend in Mexican fertility are the income variable and the sex ratio, which have positive influences on Mexican fertility in 1960 and 1970.     

中国人口转变与消费制度变迁

从抑制消费到刺激消费是中国消费制度的重大变革。本文运用新制度经济学和人口经济学理论,论证了中国人口转变通过人口增长的迅速下降,人口年龄结构的变化及其带来的人口红利对消费制度变迁的影响:死亡率下降主导的初期阶段,人口转变固化了抑制消费的制度,出生率下降主导阶段,人口转变与改革开放条件下的高速经济增长相叠加加剧了原有消费制度的不均衡。通过实证分析,揭示出消费率在人口转变过程中下降的必然性和中国保持适度人口增长的必要。     

An evaluation of the American Community Survey: results from the Oregon test site

The American Community Survey (ACS) is a Census Bureau product designed to provide accurate and timely demographic and economic indicators on an annual basis for both large and small geographic areas within the United States. Operational plans for Census 2010 call for ACS to replace the decennial census long form (Census LF), pending the results of evaluation studies. This plan represents a major change in that variables that traditionally have been collected on a “snapshot” basis once every 10 years would be collected on a “rolling” annual basis. Using a loss function analysis and other tools, this paper reports preliminary findings from a comparison of ACS and Census 2000 results in Multnomah County, Oregon, one of five national “local expert” test sites set up to compare ACS data collected at the time of Census 2000. The preliminary findings suggest that there are notable differences between some of the corresponding variables found in the ACS and Census LF that require more detailed examination. For example, the loss function analysis reveals notable differences for race and disability variables. In other comparisons of corresponding variables between ACS and Census 2000, differences are found within each of the four major areas of interest: (1) demographic characteristics, (2) social characteristics, (3) economic characteristics, and (4) housing characteristics, with housing characteristics showing the least similarity overall. These results also suggest that more detailed examinations are needed to understand differences between corresponding variables collected by ACS and the Census LF.     

Regional differences in marital fertility in the Netherlands in the second half of the nineteenth century

Abstract In the Netherlands, as in other countries, substantial regional differences in the birth rate have always been the rule rather than the exception. Of course, differences in crude birth rates may be attributed to a number of possible reasons, not all of them of primary demographic interest. For instance, according to the census of 31st December 1899, the number of women per 1,000 men in the province of Drenthe was only 924; in the province of Zuidholland the corresponding number was 1,073. It is clear that, ceteris paribus, the crude birth rate in Zuidholland would be about 7% higher than in Drenthe at that time. In such a case, the difference could reflect differences in economic development or job opportunities, factors not devoid of demographic significance, but only indirectly so.     

Impact of population,age structure,and urbanization on carbon emissions/energy consumption: evidence from macro-level,cross-country analyses

This review summarizes the evidence from cross-country, macro-level studies on the way demographic factors and processes—specifically, population, age structure, household size, urbanization, and population density—influence carbon emissions and energy consumption. Analyses employing time-variant data have produced great variance in population elasticity estimations—sometimes significantly greater than one, sometimes significantly less than one; whereas, cross-sectional analyses typically have estimated population elasticities near one. Studies that have considered age structure typically have used standard World Bank definitions and mostly have found those variables to be insignificant. However, when researchers have considered levels of disaggregation that approximate life-cycle behavior like family size, they have uncovered relationships that are complex and nonlinear. Average household size has a negative relationship with road energy use and aggregate carbon emissions. Urbanization appears positively associated with energy consumption and carbon emissions. Higher population density is associated with lower levels of energy consumption and emissions.     

External Shocks,Household Consumption and Fertility in Indonesia

This paper examines the impact of idiosyncratic income shocks on household consumption, educational expenditure and fertility in Indonesia, and assesses whether the investment in human capital of children and fertility are used to smooth household consumption. Using four different kinds of self-reported economic hardships, our findings indicate that coping mechanisms are rather efficient for Indonesian households that perceive an economic hardship. Only in case of unemployment do we find a significant decrease in consumption spending and educational expenditure while fertility increases. These results indicate that households that perceive an unemployment shock use children as a means for smoothing consumption. Regarding the death of a household member or natural disaster we find that consumption per person even increases. These results are consistent with the argument that coping mechanisms even over-compensate the actual consumption loss due to an economic hardship. One important lesson from our findings is that different types of income shock may lead to different economic and demographic behavioral adjustments and therefore require specific targeted social insurance programs.     

Population dynamics and drought: A village in Niger

Summary The paper reports the results of demographic research in a rural village of about 1500 Hausaspeaking farmers in southern Niger, during the winter of 1973-74. The research site lies at the heart of the Sahel-sudanic zone just to the south of the Sahara, where drought, and in some areas, famine have exacted a heavy human, animal, and economic toll since 1968. The study was designed to measure and explain the change in the size and structure of the population during the years 1969-73. Social anthropological field techniques were used to ensure full and accurate reporting by community residents on all census topics. Data on rainfall and crop yields, on health and sanitary conditions, and on the political economy, social organization, and culture of the village were gathered in order to interpret the demographic situation The analysis of this data yields the following conclusions: 1. The population of the village appears younger (mean age: 15 years) and growing faster (mean doubling time: 23 years) than reported for Niger as a whole in 1972. 2. Contrary to what the researchers expected, the crude death rate, while relatively high to begin with, actually declined during the drought period (mean: 14.81); the crude birth rate remained very high (mean: 46.01), and the crude rate of increase rose from 1969 to 1973. 3. There was virtually no family out-migration from the target village during the drought, although the number of adult males participating in seasonal migrations to large West African towns rose from 35 per cent in 1969-70 to 75 per cent in 1973-74. 4. Problems of food production and distribution were acute, but thanks to the availability of donated foods, these were sufficiently short-lived during this drought cycle to make no discernible impact on population, although prolonged protein/calorie malnutrition among the very young may affect future fecundity.     

Economic motives for family limitation

Abstract Taiwan can boast one of the most rapid rates of economic development in the world over the past 20 years. Taiwan is also in the midst of the demographic transition. The nature of the connection between economic development and the onset and progress of the fertility decline is far from clear, however. Rather than explore the relation between income and fertility change, this paper will be concerned with some of the economic motivations which may be responsible for fertility decline during the demographic transition. Inquiries in this area have been handicapped by having to rely on aggregative or on household data which included only a very limited set of economic variables (other than income) along with demographic data. In order to re-examine the linkages between economic change and fertility change at the family level, a special survey was conducted in Taiwan in 1969. While recognizing that economic factors are not wholly, perhaps not even primarily, responsible for the lowering of the birth rate, the central interest of this paper is the complex of cost and benefit considerations which may contribute to a decline of the rate, using the new data for Taiwan.     

Female Professional Work Opportunities: A Cross-National Study

While economic development has been associated with increased participation of females in the labor force, it remains problematic whether sexual equality within the labor force has also increased. This study examines the differentiation of structural variables, specifically economic and demographic variables, on female participation and sexual equality within a specific sector of the labor force: the professions. The units of analysis are primarily European countries with the inclusion of the United States, Canada, Australia and New Zealand. The findings indicate that those economic development factors (female higher education enrollment rate and professional demand) significantly related to the female professional participation rate are distinct from those structural factors (economic growth rate, working age male deficiency) affecting sexual equality within the professional sector.     

Population policy: Personal notes

Abstract These are the population years: throughout the world, in both developing and developed countries, there has been a growing debate on population policy. In this paper population policy refers to governmental actions that are designed to alter population events, or that do alter them. The concern with policy seems to center in the relationships between four demographic variables (size, rates, distribution, composition) and four 'quality of life' categories as both determinants and consequences (comprehended here as economic, political, ecological/environmental, social). As to policy means, they can be seen as being five in number (information, voluntary programmes, change in social institutions, incentives and disincentives, and coercion) with the potential of affecting the three factors of fertility, mortality, and migration. The relationships and effects of these conceptual cross tabulations are illustrated.     

A comparison between current Indian fertility and late nineteenth-century Swedish and Finnish fertility

Abstract The paper aims to probe causes of the current high level of the crude birth rate in India. This is accomplished by comparing the current Indian fertility level with that of Sweden and Finland during the last quarter of the nineteenth century. By utilizing marital distribution, age distribution and age-specific marital fertility rates of the three countries, the basic demographic causes of high fertility in India can be established. In the second part, the factors causing age-specific marital fertility rates in India to be lower than nineteenth-century Sweden and Finland are discussed. This is done by comparing the levels of the followingsix variables, operating within marriage, between Indian and Scandinavian cultures: (1) Abstinence - voluntary and involuntary, (2) Frequency of coitus, (3) Incidence of sterility - primary and secondary, (4) Contraception and sterilization, (5) Incidence of foetal mortality and (6) Incidence of induced abortions.     

深圳市城市内部人口与社会空间结构研究

“物以类聚,人以群分”,城市内部的人们由于社会、经济、文化等原因而在空间上表现为一定结构。国内外对于深圳市这类新兴移民城市的人口和社会空间结构研究还不多见,通过采用因子分析和空间分析结合的计算机统计分析技术,使用第四次人口普查和第五次人口普查数据,从人口空间结构和社会空间结构两大方面对深圳市的人口展开研究。具体来说,一是深圳市人口数量的分布和变化研究,主要通过人口总量、人口密度和多个人口密度分布模型来测算和分析;二是对于社会空间结构的分析,主要对人口普查数据的人口社会、经济、文化属性进行因子分析,提取出若干个主因子,然后根据各个街道这些因子的得分情况进行聚类分析,得到深圳市社会空间结构的模型。     

Intergenerational transfers in US county-level CO2 emissions, 2007

Research has shown that increases in carbon emissions and resulting climate change are not driven by population size alone, but also associated with industrialization, urbanization, and economic development. Further, industrialization and development may, in part, be driven by changing demographic structure, and in particular the process of population aging. Fluctuations in age composition shape aggregate production and consumption. Viewed through this lens, the carbon dioxide emissions of an analytical unit (county, province, state, nation) can be considered a product of its age composition. This analysis tests several demographic theories of age-specific production and consumption on US county-level carbon dioxide emissions. Using a modified STIRPAT framework, econometric estimates identify a positive correlation between county-level labor force participation and total carbon dioxide emissions. These effects are a result of general economic activity as opposed to growth only in energy intensive industrial sectors, a relationship that is widely hypothesized but under-developed in carbon emission estimates. In addition, results show larger households are associated with lower aggregate emissions, confirming the hypothesis that areas of declining household size will experience higher future emissions. In general, this research demonstrates the importance of adding nuance to emission estimates by integrating demographic dimensions beyond population size and growth.     

Demographic consequences of the 1984–1985 Ethiopian famine

This article analyzes demographic responses to the 1984-1985 Ethiopian famine and compares them with Bongaarts and Cain's (1982) hypothesized responses. After briefly describing the data collection, I estimate the age distribution and the age-specific mortality and fertility rates of Ethiopian famine victims in a resettlement area and compare these with mortality estimates for the 1972-1973 Bangladesh famine and with fertility estimates from the 1981 Ethiopian demographic survey. The results show that the mortality rate among Ethiopian famine victims was about seven times higher than the rate among the Bangladesh victims and that the Ethiopian famine-related mortality was general and not a function of household socioeconomic variables. The data also show a 26 percent lower total fertility rate among famine victims.     

Modeling urbanism: Economic,social and environmental stress in cities

The time has come for urban social indicator research to converge with the basic substantive efforts of urban researchers. Such a convergence may propel both basic and applied researchers toward more fruitful outcomes. This paper argues that the traditional model of urbanism provides the medium for the convergence. When urbanism is conceptualized to be multidimensional, seemingly discreet indicators of demographic, economic, social, and environmental conditions in cities may be incorporated into a more general model of urban structure and change. Specifically, using social indicators for 195 cities from ZPG's Children's Stress Index and the 1990 U.S. Census, we show empirically: (1) Urbanism is a complex factor with four distinct dimensions: demographic scale, economic stress, social stress, and environmental stress. (2) These four dimensions of urbanism may be reliably measured with standard composite variables used in today's social indicator research. (3) Within the Urbanism factor there are causal connections among the separate dimensions, the most basic of which is that asserted by arguments from the traditional theory of urbanism; specifically, that population size, density, and social heterogeneity are causally linked to stress in economic, social, and environmental systems of the city.     

Factors Associated With Temporal and Spatial Patterns in Suicide Rates Across U.S. States, 1976–2000

Using pooled cross-sectional time-series data for the 50 U.S. states over a 25-year period, this article examines how well four conceptual groups of social correlates—demographic, economic, social, and cultural factors—are associated with the 1976–2000 patterns in overall suicide rates and suicide by firearms and other means. Unlike past research that typically considers only one dimension, this analysis differentiates between spatial and temporal variation in suicide rates to determine whether and how social correlates operate differently in these two contexts. Results indicate that suicide rates correspond closely to social correlates. Within U.S. states, lower overall suicide rates between 1976 and 2000 were associated with demographic change (e.g., larger numbers of foreign-born) as well as with fewer numbers of Episcopalians. Across U.S. states, variation in overall suicide rates over the period was related to demographic (percentage male), economic (per capita income), social (percentage divorced), and cultural (alcohol consumption and gun ownership) factors. However, findings differ importantly by type of suicide, and across time and space. Reasons for these distinct patterns are discussed.     

Population statistics] as of July 1, 1998

This article presents estimates of relevant population numbers and vital rates in Thailand as of July 1, 1998. Utilizing the standard demographic techniques of analysis, the estimates provided are assured to be the most accurate demographic estimates possible. Total population was estimated at 61,143,000. Estimates by sex, locales, region, and by age group are included. In addition, the crude birth rate per 1000 population was estimated at 18.7; the crude death rate per 1000 population was 6.5. For the natural growth rate the estimate was at 1.2%, and the infant mortality rate was 25.0 per 1000 live births. In terms of life expectancy at birth, the estimate for males was 69.9 years, while for females it was 74.9 years. Additional years in life expectancy at age 60 were 20.3 years for males and 23.9 years for females. The total fertility rate per woman is 1.98, and contraceptive prevalence is 72.2%. The demographic data will be disseminated to Thai and international population researchers and planners.