Age structure and economic policy: The case of saving and growth

The age structure of the population affects aggregate saving, which affects growth through investment. Growth in turn is influenced by other age structure effects and feeds back into aggregate saving by well known life cycle mechanisms. Some of these feedbacks are generally ignored in empirical work. Especially the age structure effect on macroeconomic variables is a commonly overlooked, yet easily accessible factor useful for prediction, policy evaluation and design. The connection between age structure, savings and growth in the OECD from 1950 to 1990 illustrates how policy analysis that ignores the macroeconomic effects and feedbacks from age structure changes is liable to lead to faulty and potentially costly conclusions about policy issues.     

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.     

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.     

Population dynamics and life-cycle consumption

This paper presents a model where aggregate consumption depends on both the level of wealth and the age structure of population. The explicit consideration of an endogenous rate of time preference permits to analyze the important role of population ageing as a determinant of aggregate saving. Received: 23 October 2001/Accepted: 13 February 2002 I would like to thank an anonymous referee for his comments. Financial support from CNR and MURST is gratefully acknowledged. Responsible editor: Alessandro Cigno.     

The Leverage of Demographic Dynamics on Carbon Dioxide Emissions: Does Age Structure Matter?

This article provides a methodological contribution to the study of the effect of changes in population age structure on carbon dioxide (CO₂) emissions. First, I propose a generalization of the IPAT equation to a multisector economy with an age-structured population and discuss the insights that can be obtained in the context of stable population theory. Second, I suggest a statistical model of household consumption as a function of household size and age structure to quantitatively evaluate the extent of economies of scale in consumption of energy-intensive goods, and to estimate age-specific profiles of consumption of energy-intensive goods and of CO₂ emissions. Third, I offer an illustration of the methodologies using data for the United States. The analysis shows that per-capita CO₂ emissions increase with age until the individual is in his or her 60s, and then emissions tend to decrease. Holding everything else constant, the expected change in U.S. population age distribution during the next four decades is likely to have a small, but noticeable, positive impact on CO₂ emissions.     

Population growth,age structure,and age-specific productivity

Motivated by empirical evidence that fluctuations in age structure affect relative wages across age groups, this paper asks whether there is a steady-state age distribution that maximizes the lifetime wages of a representative worker. The paper proves the surprising result that in a pure labor economy with any constant returns technology, a uniform age distribution minimizes lifetime wages. Skewed age distributions, generated by either positive or negative population growth rates, generate unambiguously higher lifetime wages than a stationary population, in spite of possible reductions in per capita output in every period. The presence of non-labor factors complicates, but does not necessarily reverse, this result. The paper relates the beneficial effects of higher rates of population growth on lifetime wages in a pure labor economy with imperfect substitutability across age groups to the benefits of population growth that appear in overlapping-generation consumption loan models with intergenerational transfers.A previous version of this paper was presented at the Economic Demography Workshop at the 1988 meetings of the Population Association of America. Helpful comments from Mark Berger, Theodore Bergstrom, Ronald Lee, Hal Varian, and Robert Willis are acknowledged.     

The variance of population characteristics in stable populations, with applications to the distribution of income

Summary Stable population theory has recently been used to analyse the effects of changes in fertility and mortality on economic variables such as income per head. In this paper more general results are derived to describe the effects of changing vital rates on the variance and higher moments of the distribution of some age-dependent variable. Simple analytical expressions are derived which decompose the effects of changes in age structure into the effects on inter-cohort and intra-cohort variance. The results are easily applied to standard measures of the distribution of income. By combining the analytical results with actual age profiles of income and income variance from the United States and Brazil it is observed that both the magnitude and direction of the effects of population growth on measured inequality are sensitive to the specific age profiles used. The most surprising result is that the Brazilian age profiles suggest that higher growth rates may actually reduce measured inequality, although the effect is relatively small.     

西安市人口年龄结构变动趋势对老年消费市场需求的影响分析

人作为消费活动的主体,其内部结构的变化必然会导致消费的变化。本文通过对西安市人口年龄结构的变动、老年人口收入来源及消费行为的分析,发现西安市人口结构的变化对老年消费市场需求既有积极的促进作用,也有消极的负面影响。提出政府与企业应厘清人口变动与消费之间的关系,扬长避短,尽可能发挥其积极影响作用,以促进扩大老年消费市场的需求。     

Macro and micro contexts of dependency rates: An illustration with peruvian data

This research contributes to the academic dialogue about the socioeconomic significance of rapid population growth by examining changes in age composition and household structure during a transitional period of demographic change. Two propositions relating changes in the size and age composition of households to the demographic transition are formulated and tested using Peruvian census and survey data. Results show a systematic pattern of change wherein the average annual percent increase in the number of households offsets the rate of population growth when the disequilibrium between mortality and fertility rates is greatest. The translation of aggregate increase into households is mediated by shifts in the distribution of households by size. It is inappropriate to conclude that larger families necessarily have higher dependency burdens or that they are worse off in an economic sense compared to smaller households because increments in size are not automatically translated into equivalent increases in age or economic dependency. In part, this is due to the influence of extension patterns on the age and labor force composition of households. Policy implications and a research agenda are discussed in the concluding section.An earlier version was presented at the 7th National Meeting of the Latin American Studies Association, Houston, Texas, November 2–5, 1977. I gratefully acknowledge critical comments from Michael E. Conroy, Harley L. Browning, A. Eugene Havens, Halliman Winsborough, and two anonymous reviewers. Research support for this paper was provided by the College of Agricultural and Life Sciences.     

京津冀人口集聚对能源消费的影响

京津冀作为我国重要的人口集聚区,其区域发展面临严重的能源和环境问题。首先,基于STIRPAT模型构建京津冀面板数据模型,研究1990—2017年京津冀人口密度、经济增长、产业结构和环境规制对能源消费的影响。其次,采用SVAR模型通过脉冲响应函数和方差分解,研究京津冀人口密度变动对能源消费的作用机理和动态影响关系。结果显示,京津冀三地的人口密度、人均实际GDP与能源消费之间存在正向影响关系,其中河北省影响系数最大;北京和天津第三产业占比与能源消费之间存在反向影响关系,河北省第三产业占比对能源消费的影响不显著;北京和天津的环境规制对能源消费影响不显著,河北省环境规制对能源消费具有正向影响;京津冀地区和京冀两地人口密度变动对能源消费的影响在短期呈现负向效应,但是在中长期京津冀地区和三地人口密度变动对能源消费的影响均先上升然后缓慢下降,人口集聚具有集约用能效应。相对于能源消费自身影响而言,京津冀人口密度变动对能源消费的贡献相对较小,其影响效应有限。最后,对京津冀人口流动和能源消费一体化协同发展提出对策建议。     

我国人口态势与消费模式对碳排放的影响分析

本文应用STIRPAT扩展模型,考察近30年来我国人口规模、人口结构、居民消费及技术进步因素对碳排放的影响。研究发现,居民消费与人口结构变化对我国碳排放的影响已超过人口规模的单一影响力。居民消费水平提高与碳排放增长高度相关,居民消费模式变化正在成为我国碳排放的新的增长点;人口结构因素中,人口城镇化率的提高通过对化石能源消费、水泥制造及土地利用变化等的影响导致碳排放增长;人口年龄结构变化对生产的影响大于对消费的影响,其对碳排放影响的主要途径是生产领域劳动力的丰富供应;家庭户规模减小导致人均消费支出的增加及总户数消费规模的扩张,以家庭户为分析单位考察其对碳排放的影响具有较高的解释力。针对分析结果,探讨了未来我国低碳社会发展的相关应对之策。     

预期寿命增长、年龄结构改变与我国国民储蓄率

人口年龄结构趋于老龄化和人均预期寿命逐步增长是目前我国人口发展的两个典型特征,而年龄阶段不同,个人的收入、消费与储蓄行为也不同。基于生命周期理论,在选定相关分析指标的基础上,文章使用我国省际平衡面板数据,实证分析了我国人口预期寿命增长和年龄结构改变对国民储蓄率的影响。分析结论表明,人口预期寿命增长提高了我国国民储蓄率;不考虑时间效应时,幼年人口负担比提高会减少国民储蓄率,而老年人口负担比提高会增加国民储蓄率;在考虑时间效应时,幼年人口负担比提高会增加国民储蓄率,而老年人口负担比提高会减少国民储蓄率。对此,文章给出了合理的解释。通过使用多种估计方法,我们发现所得到的结论是基本稳健的。     

Population age structure and consumption growth: evidence from National Transfer Accounts

We assess the effects of the population age structure and the population dynamics on economic growth. Following recent research, we focus on the generational turnover effect to characterize the influence of birth and death rates, depending on the age profile of individual consumption, the extent of annuity market imperfections, and the willingness of households to shift consumption over time. Using data from the National Transfer Accounts on age profiles of consumption for a number of different countries, we assess—in a comparative way—the sign and the magnitude of the generational turnover effect and its impact on economic growth. We find considerable cross-country differences and trace them back to the underlying variation in demography and in the age structure of consumption.     

河南省农村人口年龄结构对消费影响的实证分析

本文利用1987～2008年年度资料对河南省农村人口年龄结构影响农村居民消费的情况进行分析,发现少儿抚养系数、老年抚养系数与消费存在长期协整关系,并且少儿抚养系数对农村居民消费有显著的正影响,老年抚养系数对消费的影响不显著。因此,提出通过加大农村教育投入、完善农村养老保障、细分市场来应对人口年龄结构变化对消费的影响。     

Population dynamics in Germany: the role of immigration and population momentum

The effects of changes in rates of mortality, fertility, and migration depend not only on the age-specific patterns and levels of these rates, but on the age structure of the population. In order to remove the influences of the age structure and concentrate on the effects of the demographic rates themselves, a common practice is to analyze the influences of the rates for a standard age structure. This paper analyzes current and future population changes in Germany, using a stationary population equivalent model (SPE) that shows long-term effects of current fertility, mortality, and international migration patterns. Results indicate that the German population will eventually decline because of below replacement fertility, if net immigration does not counteract this decrease. This means, for instance, that the long-term stationary population levels for Germany will decrease by approximately 6.5 million during a decade in which current fertility, mortality, and international migration levels prevail. The paper also reports how various other assumptions for mortality, fertility, and international migration affect the SPE model for Germany.     

Age structure and income distribution policy

The dependence of earnings on age is a firmly established empirical fact. A simple microeconomic model of educational choice, being consistent with this observation, is designed. The model lends itself readily to aggregation over individuals and age groups. Thus, relations can be set up between economic variables influencing the aggregate distribution of labor incomes and demographic variables determining the age structure of the population. The main results of the present study are: 1) overall earnings inequality is shown to be an increasing function of life expectancy and a decreasing function of fertility. 2) The effectiveness of redistributive policies is sensitive to the age composition. In particular, the inequality-reducing effect of a 1% income tax rise is shown to be smaller the older the population.     

Growth in family income inequality, 1970–1990: Industrial restructuring and demographic change

Industrial restructuring and changing population composition frequently have been treated as competing explanations of growing U.S. income inequality. Using the Gini coefficient, we employ a model of conditional change to explore the relative effects of each on changes of family income distribution between 1970 and 1990, across 784 metropolitan areas and public use microdata areas (PUMAs). Changes in both industrial structure and population characteristics are found to have significant and opposite effects on family income distribution, although there are sharp differences by decade in the dynamics that underlie increasing inequality. Our central conclusion is that it is too soon to eliminate deindustrialization as a significant cause of increased earnings inequality.     

A Standardized dependency ratio

The dependency ratio is a measure of the effect which demographic factors exert on standards of living. It is usually defined either as the ratio of the young and the aged population to the working age population, or as the ratio of the population which does not participate in the labor force to that which does. But the consumption requirements of dependents may vary with their age. Therefore, variations in the real burden of maintaining a dependent population need not be positively associated with variations in its relative size; for example, when a decrease in the relative number of all dependents is accompanied by an increase in that of the aged.Furthermore, under the labor-force participation definition of dependency, inter-temperal and international variations are complicated because the population's average participation rate does not vary only with changes in its age distribution, but with changes in the social norms which regulate working habits.In this paper, adult-equivalence scales derived from family budget studies were used to make dependents of various ages comparable in terms of the maintenance burden they create. Similarly, constant labor-force participation rates were used to obtain estimates of the size of the population carrying this burden. When thus estimated, international differences in the dependency load are shown to be much smaller than is suggested by the normally used unweighted index.     

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。     

中国人口年龄结构变动对出生率的影响研究

本文利用相关年份的《中国统计年鉴》和人口普查数据,根据粗出生率与总和生育率的关系与特征,构建了人口年龄结构系数及其对粗出生率变动影响的贡献率指标,分析了建国以来人口年龄结构变动对出生率的影响。研究发现：1949—1979年,人口年龄结构变动对出生率的影响很小;1980—1993年,人口年龄结构变动对出生率的影响迅速上升,年龄结构的贡献率增大;1994—2008年,人口年龄结构变动对出生率的影响趋于下降,人口惯性势能在减弱;2009—2011年,受80—90年代出生高峰的影响,人口年龄结构变动对出生率的影响再次凸显,年龄结构的贡献率迅速增大。从年龄别生育率逐年下降的特点,也可以证明近年推动我国人口增长的力量主要是由于年龄结构带来的惯性增长。