{"title":"Demography and Per Head Income of the Russian Regions","authors":"B. Alekhin","doi":"10.14530/se.2022.1.125-147","DOIUrl":null,"url":null,"abstract":"Theories of economic growth and empirical studies suggest a negative effect of population growth on economic growth. This study examines the link between the two variables in 82 subjects of the Russian Federation over 2002–2019. Descriptive statistics show that Russia reaped a demographic dividend and is now paying a demographic tax. General theoretical framework for empirical analysis was drawn from the neoclassical growth theory, and panel data econometrics suggested the appropriate empirical methodology. The pooled mean group estimator was applied to an autoregressive distributed lags model based on the Solow model. We found a statistically significate negative long-term dependence (in growth terms) of per capita income on population, total fertility rate and dependence ratio. Also, three auxiliary hypotheses were tested. First: population growth variables that emphasize the relative growth of the young/dependent population (ages 0–14 years) should show a more adverse effect on economic growth than measures of growth in the total or working-age populations. Second: the partial association between population growth and economic growth will be more positive when the regression controls for investment (the resource-dilution effect). Third: the effect of population growth on economic growth is more adverse in developing countries (regions) because of greater resource-dilution and resource diversion effects, as well as poorer policy environments. These hypotheses are not rejected","PeriodicalId":54733,"journal":{"name":"Networks & Spatial Economics","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Networks & Spatial Economics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.14530/se.2022.1.125-147","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Theories of economic growth and empirical studies suggest a negative effect of population growth on economic growth. This study examines the link between the two variables in 82 subjects of the Russian Federation over 2002–2019. Descriptive statistics show that Russia reaped a demographic dividend and is now paying a demographic tax. General theoretical framework for empirical analysis was drawn from the neoclassical growth theory, and panel data econometrics suggested the appropriate empirical methodology. The pooled mean group estimator was applied to an autoregressive distributed lags model based on the Solow model. We found a statistically significate negative long-term dependence (in growth terms) of per capita income on population, total fertility rate and dependence ratio. Also, three auxiliary hypotheses were tested. First: population growth variables that emphasize the relative growth of the young/dependent population (ages 0–14 years) should show a more adverse effect on economic growth than measures of growth in the total or working-age populations. Second: the partial association between population growth and economic growth will be more positive when the regression controls for investment (the resource-dilution effect). Third: the effect of population growth on economic growth is more adverse in developing countries (regions) because of greater resource-dilution and resource diversion effects, as well as poorer policy environments. These hypotheses are not rejected
期刊介绍:
Networks and Spatial Economics (NETS) is devoted to the mathematical and numerical study of economic activities facilitated by human infrastructure, broadly defined to include technologies pertinent to information, telecommunications, the Internet, transportation, energy storage and transmission, and water resources. Because the spatial organization of infrastructure most generally takes the form of networks, the journal encourages submissions that employ a network perspective. However, non-network continuum models are also recognized as an important tradition that has provided great insight into spatial economic phenomena; consequently, the journal welcomes with equal enthusiasm submissions based on continuum models.
The journal welcomes the full spectrum of high quality work in networks and spatial economics including theoretical studies, case studies and algorithmic investigations, as well as manuscripts that combine these aspects. Although not devoted exclusively to theoretical studies, the journal is "theory-friendly". That is, well thought out theoretical analyses of important network and spatial economic problems will be considered without bias even if they do not include case studies or numerical examples.