Готові списки джерел за темами / Demography

Добірка наукової літератури з теми "Demography"

Автор: Grafiati
Опубліковано: 4 червня 2021
Оновлено: 29 липня 2024

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Статті в журналах з теми "Demography"

1

Kreager, P. "Political Demography, Demographic Engineering." Journal of Refugee Studies 15, no. 3 (September 1, 2002): 321–24. http://dx.doi.org/10.1093/jrs/15.3.321-a.

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Petit, Véronique, and Yves Charbit. "The French School of Demography: Contextualizing Demographic Analysis." Population and Development Review 38 (February 2013): 322–33. http://dx.doi.org/10.1111/j.1728-4457.2013.00567.x.

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3

K.J.G. "Demography." Americas 44, no. 3 (January 1988): 369. http://dx.doi.org/10.1017/s0003161500074216.

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V.C.P. "Demography." Americas 45, no. 4 (April 1989): 550. http://dx.doi.org/10.1017/s0003161500075957.

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5

Plant, Paul. "Demography." Ageing and Society 10, no. 1 (March 1990): 107–9. http://dx.doi.org/10.1017/s0144686x00007893.

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E.J.S. "Demography." Americas 41, no. 3 (January 1985): 106–7. http://dx.doi.org/10.1017/s0003161500015182.

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7

Keyfitz, Nathan. "Thirty Years of Demography and Demography." Demography 30, no. 4 (November 1993): 533. http://dx.doi.org/10.2307/2061805.

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8

YUSIFOV, F. F., and N. E. AKHUNDOVA. "Analysis of Demographic Characteristics Based on E-Demography Data." Demography and social economy 1 (April 22, 2022): 38–54. http://dx.doi.org/10.15407/dse2022.01.038.

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Анотація:
The introduction of digital technologies, the Internet and social media into human life provides new information and data sources for the study of demographic behavior. The article studies the analysis of demographic characteristics based on e-demographic data. The creation of an e-demographic system is one of the urgent issues for demographic research, the management of demographic processes and for the study of demographic behavior. The article is devoted to the analysis of demographic indicators. The article examines the existing international experience in the field of e-demography, analyzes the current state of research in the field of creating a single population register. In order to build an e-demographic system, it is proposed to integrate public registers in various fields into a single platform through a personal identification number. Demographic analyzes can be conducted information on social networks, mobile phones, banking systems, insurance companies, via traces in various search browsers. The article analyzes demographic characteristics based on e-demographic data. The experiment examined the analysis of demographic characteristics of graduates who studied abroad. Demographic analysis was conducted according to the age, sex, marital status, education level, specialty, country of study and other indicators of the graduates. K-Means model was used to divide the graduates into different clusters. According to the experience, it is possible to divide graduates who studied abroad into clusters according to their age. Thus, graduates of each cluster can be surveyed according to other demographic indicators. E-demography creates new opportunities for social research and population data monitoring. The establishment of an e-demographic system will allow for population statistics, online census monitoring, in-depth analysis of demographic processes and the study of demographic behavior. Citizens of each cluster will be able to conduct different analyzes according to income, field of work, education and other indicators. The research proposes to build an e-demographic system on the basis of a single state register. In future research, the data in the various registers will be analyzed in depth.
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Swako Shirahase. "Demography as Social Risk: Demographic Change and Accumulated Inequality." Development and Society 42, no. 2 (December 2013): 213–35. http://dx.doi.org/10.21588/dns.2013.42.2.004.

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10

Teitelbaum, Michael S. "Political demography: Powerful trends under-attended by demographic science." Population Studies 69, sup1 (April 26, 2015): S87—S95. http://dx.doi.org/10.1080/00324728.2014.977638.

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Дисертації з теми "Demography"

1

Coast, Ernestina. "Maasai demography." Thesis, University College London (University of London), 2000. http://discovery.ucl.ac.uk/1317547/.

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2

Blochel, Alexander. "Population demography’s potential effect on stoichiometry : Assessing the growth rate hypothesis with demography." Thesis, Umeå universitet, Institutionen för ekologi, miljö och geovetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-130908.

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The elemental composition within structured insect populations was tested by creating a new method to analyze how variables (survival, growth and fecundity) within a population matrix could potentially affect the stoichiometric regime of a structured population at steady state. This was done by focusing on if the growth rate hypothesis, which states that there is a linear relationship between an individual growth rate and the percent of phosphorus within the individual, works at a population level. This was analyzed by creating and combining two matrices: the matrix-population containing the variables and a matrix containing the element phosphorus and dry weight. Data from a beetle species, Chrysomela tremulae F., was used as a guideline to create eight stoichiometric generic populations, where survival, growth and fecundity were tested in each of the eight generic populations. The results showed deviations from the growth rate hypothesis, suggesting that the hypothesis does not always work within structured populations. However, more research is needed to predict exactly how this hypothesis works in populations. Overall, this new method for analyzing stoichiometry within structured populations is a useful analytical tool, but there is a need for analyzing the results from these models in a more efficient way.
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Žamac, Jovan. "Education, pensions, and demography /." Uppsala : Department of Economics, Uppsala University, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-7433.

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4

Lovina, O. O. "Population demography of Nigeria." Thesis, Sumy State University, 2014. http://essuir.sumdu.edu.ua/handle/123456789/36345.

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The most populous country in Africa, Nigeria accounts for approximately one sixth of the African population (or one fifth of Sub-Saharan African population). Approximately 50 % of Nigerians are urban dwellers. At least 24 cities have populations of more than 100,000. The variety of customs, languages, and traditions among Nigeria's 389 ethnic groups gives the country a cultural diversity. Nigeria suffers from a population explosion, with a current population in excess of 170 million (2012) and a growth rate of more than 2 % p.a. (or a doubling time of about 30 years), with all the associated problems such as youth bulge, crime, ethnic tension and high emigration. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/36345
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Kolk, Martin. "Multigenerational Processes in Demography." Doctoral thesis, Stockholms universitet, Sociologiska institutionen, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-106987.

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Contemporary social science research has often focused on nuclear family relationships, and has largely neglected kinship and family outside the nuclear household. In this doctoral thesis I explore demographic issues from a multigenerational perspective, using Swedish register data and mathematical modeling. In different chapters I examine intergenerational transmission of fertility—the relationship between the number of siblings and other kin, and the fertility of an individual. The thesis demonstrates the possibilities for empirical research on family and kinship based on Swedish register data. Unique linkage opportunities across three and four generations are applied to previously unexplored research questions. The studies in the thesis demonstrate the importance of kin outside the household, such as grandparents, aunts/uncles, and cousins, for fertility and family dynamics.
Samhällsvetenskaplig forskning har i hög grad varit fokuserad på kärnfamiljer, och i lägre grad undersökt släktskap utanför hushållet. Den här avhandlingen undersöker demografiska frågor utifrån ett flergenerationsperspektiv med hjälp av svenska registerdata och matematisk modellering. I de olika studierna undersöker jag den sociala överföringen av barnafödande mellan fler generationer—sambanden mellan antalet syskon och andra familjemedlemmar, och en persons barnafödande. Avhandlingen demonstrerar hur svenska registerdata möjliggör empirisk forskning om familj och släktskap. De unika kopplingsmöjligheterna över tre till fyra generationer appliceras på tidigare outforskade forskningsfrågor. Avhandlingen visar vikten av släktskap utanför kärnfamiljen, så som far/mor-föräldrar samt kusiner, för familjedemografiska processer.
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Verdery, Ashton M. Entwisle Barbara. "Demography and social network differentiation." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2010. http://dc.lib.unc.edu/u?/etd,2938.

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Thesis (M.A.)--University of North Carolina at Chapel Hill, 2010.
Title from electronic title page (viewed Jun. 23, 2010). "... in partial fulfillment of the requirements for the degree of Master of Arts in the Department of Sociology." Discipline: Sociology; Department/School: Sociology.
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7

St, Onge Kate. "Demography and Polyploidy in Capsella." Doctoral thesis, Uppsala universitet, Evolutionär funktionsgenomik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-136696.

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Studies of demography and population structure give insight into important evolutionary processes such as speciation and diversification. In the present work I perform such studies in the genus Capsella, which has three species: C. grandiflora, an outcrossing diploid, C. rubella a selfing diploid, and C. bursa-pastoris a selfing tetraploid. These three species make a good model system for evolutionary studies because they encompass two major plant evolutionary processes: mating system shifts and polyploidization. To conduct my studies I have gathered a large number of samples across the distributions of each species and scored them both phenotypically and genotypically: more specifically we measured flowering time and collected DNA sequence data. In the tetraploid C. bursa-pastoris we applied an association mapping approach which takes population structure into account to search for genetic variation associated with variation in flowering time. Flowering time is an important and highly adaptive trait which is frequently subject to natural selection. We found evidence of association between flowering time and several single nucleotide polymorphisms (SNPs) within the flowering locus C (FLC) and cryptochrome 1 (CRY1). In the case of FLC these SNPs code for nonconsensus splice site variation in one of the two copies of the gene. The SNPs could potentially have functional consequences and our results imply that non-functionalization of duplicate genes could be an important source of phenotypic variation. Using a novel coalescent based approach, we investigated the polyploid origin of C. bursa-pastoris and find evidence supporting a recent autopolyploid origin of this species. In the two diploid species, I use sequence data to investigate population structure and demographic history and to assess the effects of selfing on C. rubella. Observed patterns of population structure and genetic diversity in C. rubella can be explained by a combination of both demographic history and mating system. Observed patterns in C. grandiflora suggest that the investigated populations do not deviate strongly from the SNM, which has rarely been found in modern demographic studies. Finally, we investigate the effect of sampling strategy on demographic inference. Extensive sampling both within and across our populations allow us to empirically test the effect of sampling strategy on demographic inference. We complement the empirical analysis with simulations and conclude that the effect of sampling strategy is in many cases weak compared with that of demographic events. Nevertheless, these effects are real and have the potential to lead to false inference and therefore sampling strategy should be carefully considered in demographic studies.
Felaktigt tryckt som Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 725
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8

Metcalf, Charlotte Jessica Eland. "Evolutionary demography of monocarpie perennials." Thesis, Imperial College London, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.416378.

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9

Atkinson, John William. "Demography of supermassive black holes." Thesis, University of Hertfordshire, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.397769.

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10

KAI, HAMILTON MASSATAKA. "THREE ESSAYS ON ECONOMIC DEMOGRAPHY." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2009. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=15322@1.

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Анотація:
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
Essa tese é composta de três ensaios. O primeiro ensaio estuda a relação entre renda e número de filhos no Brasi da primeira metade do século XX. Ao contrário do que os modelos econômicos sobre regimes demográficos preveriam, os dados em cross-section por coorte mostram uma relação consistentemente negativa entre renda e número de filhos ao longo de todo o período analisado. O segundo ensaio mostra que a tecnologia doméstica de saúde desempenha um papel crucial nas escolhas reprodutivas das famílias e, ao alterar o entendimento usual sobre o regime demográfico malthusiano, o modelo é capaz de explicar o resultado empírico do primeiro ensaio. Finalmente, o terceiro ensaio avalia os determinantes das correlação entre a escolaridade da mulher e a condição de saúde dela própria e de seus filhos.
This thesis presents three essays in economic demography. The first essay studies the relationship between socioeconomic status and fertility in Brazil. Cross-section data shows a negative income-fertility relationship in cohorts of the first half of the twentieth century, an unexpected result according to the usual economic models of demographic transitions. In order to explain the empirical puzzle of the first essay, a model which explores the effects of the household health technology on fertility choices is presented in the second essay. This model changes in important ways the usual agreement on the Malthusian demographic regime. Finally, the last essay analysis the determinants of the correlation between education of women and health conditions of both her own and her children.
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Книги з теми "Demography"

1

Gee, Christopher Kok Aun, author and Institute of Policy Studies (Singapore), eds. Demography. Singapore: Institute of Policy Studies, 2016.

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2

Langford, C. M. Demography. London: University of London, 1993.

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3

Malwade, Basu Alaka, Aaby Peter, and IUSSP Committee on Anthropological Demography., eds. The methods and uses of anthropological demography. Oxford: Clarendon Press, 1998.

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4

Smith, David P. Formal Demography. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4899-2465-0.

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5

Smith, David P., and Nathan Keyfitz. Mathematical Demography. Edited by Kenneth W. Wachter and Hervé Le Bras. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35858-6.

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6

Willekens, Frans. Multiregional demography. Voorburg: Netherlands Interuniversity Demographic Institute, 1985.

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7

Centre for Exploitation of Science and Technology., ed. Demography factbook. Manchester: CEST, 1991.

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8

United Nations. Dept. of Technical Cooperation for Development., ed. Teaching demography. New York: Dept. of Technical Co-operation for Development, United Nations, 1985.

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9

Paul, Schultz T., ed. Economic demography. Northampton, Mass: Edward Elgar Pub., 1998.

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10

University Eotvos Lorand Chair for Statistics. Review of Historical Demography Communications de Demographie Historique. Budapest: s.n., 1986.

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Частини книг з теми "Demography"

1

Yadav, Shakti Kumar, Sompal Singh, and Ruchika Gupta. "Demography." In Biomedical Statistics, 177–80. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9294-9_21.

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2

Droogleever Fortuijn, Joos C. "Demography." In World Regional Geography Book Series, 193–210. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75073-6_11.

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3

Kuné, Jan B. "Demography." In Contributions to Economics, 5–22. Heidelberg: Physica-Verlag HD, 2003. http://dx.doi.org/10.1007/978-3-642-50170-8_2.

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4

Le Bras, Hervé. "Demography." In Lecture Notes in Morphogenesis, 107–8. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51324-5_22.

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Fog, Agner. "Demography." In Cultural Selection, 136–38. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9251-2_6.

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6

MacInnes, John, and Julio Pérez Díaz. "Demography." In The New Blackwell Companion to Social Theory, 428–50. Oxford, UK: Wiley-Blackwell, 2009. http://dx.doi.org/10.1002/9781444304992.ch22.

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Langdon, Steven, Archibald R. M. Ritter, and Yiagadeesen Samy. "Demography." In African Economic Development, 107–29. New York, NY : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315690506-6.

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Novak, Mark. "Demography." In Issues in Aging, 85–127. Fourth edition. | New York, NY : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315445366-3.

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Bruner, Jason. "Demography." In How to Study Global Christianity, 43–54. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12811-0_5.

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10

Keyfitz, Nathan. "Demography." In The New Palgrave Dictionary of Economics, 2733–44. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_23.

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Тези доповідей конференцій з теми "Demography"

1

Weber, Ingmar, and Bogdan State. "Digital Demography." In the 26th International Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3041021.3051104.

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2

ANDO, ALBERT. "DEMOGRAPHY AND AGGREGATE SAVING." In Proceedings of the Economic Development of ROC and the Pacific Rim in the 1990s and Beyond. WORLD SCIENTIFIC, 1994. http://dx.doi.org/10.1142/9789814440998_0013.

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3

Zhang Jiayou and Chen Qi'an. "Monte Carlo simulation in demography." In 2008 3rd International Conference on Intelligent System and Knowledge Engineering (ISKE 2008). IEEE, 2008. http://dx.doi.org/10.1109/iske.2008.4730958.

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4

Zekri, Lotfi. "Sociophysics simulations III: retirement demography." In MODELING COOPERATIVE BEHAVIOR IN THE SOCIAL SCIENCES. AIP, 2005. http://dx.doi.org/10.1063/1.2008592.

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Silverman, Eric, Jakub Bijak, Daniel Courgeau, and Robert Franck. "Advancing Social Simulation: Lessons from Demography." In Artificial Life 14: International Conference on the Synthesis and Simulation of Living Systems. The MIT Press, 2014. http://dx.doi.org/10.7551/978-0-262-32621-6-ch061.

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Newell, Alan F. "Usability, demography, and directions for W4A." In the International Cross-Disciplinary Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2207016.2207040.

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7

Boggs, Carol L. "Demography and climate change in insects." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.105035.

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Moore, K. J., and C. Cordova. "Tiller Demography Within Synthetic Grass Populations." In XXV International Grassland Congress. Berea, KY 40403: International Grassland Congress 2023, 2023. http://dx.doi.org/10.52202/071171-0050.

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Silverman, Eric, Jakub Bijak, Daniel Courgeau, and Robert Franck. "Advancing Social Simulation: Lessons from Demography." In Artificial Life 14: International Conference on the Synthesis and Simulation of Living Systems. The MIT Press, 2014. http://dx.doi.org/10.1162/978-0-262-32621-6-ch061.

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Nirmalasari, T. N., A. Rejo, Y. Windusari, and Azhar Azhar. "Demography and Crime in Banyuasin Regency." In Proceedings of the 3rd Sriwijaya International Conference on Environmental Issues, SRICOENV 2022, October 5th, 2022, Palembang, South Sumatera, Indonesia. EAI, 2023. http://dx.doi.org/10.4108/eai.5-10-2022.2328360.

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Звіти організацій з теми "Demography"

1

Georgiev, Venelin. Demography, Capabilies and Security. Procon, 2020. http://dx.doi.org/10.11610/it4sec.0134.

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2

Hoem, Jan M. Demography, present and future. Rostock: Max Planck Institute for Demographic Research, May 2007. http://dx.doi.org/10.4054/mpidr-wp-2007-019.

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3

Clark, Andrew E. Demography and well-being. Verlag der Österreichischen Akademie der Wissenschaften, January 2021. http://dx.doi.org/10.1553/populationyearbook2021.deb02.

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Анотація:
Demography studies the characteristics of populations. One such characteristic is well-being: this was the subject of the 2019 Wittgenstein Conference. Here, I discuss how objective well-being domains can be summarised to produce an overall well-being score, and how taking self-reported (subjective) well-being into account may help in this effort. But given that there is more than one type of subjective well-being score, we would want to know which one is “best”. We would also need to decide whose well-being counts, or counts more than that of others. Finally, I briefly mention the potential role of adaptation and social comparisons in the calculation of societal well-being.
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4

Trinitapoli, Jenny. Demography Beyond the Foot. Population Council, February 2021. http://dx.doi.org/10.31899/pdr1.1012.

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5

Lutz, Wolfgang. Sustainable human wellbeing: What can demography contribute? Verlag der Österreichischen Akademie der Wissenschaften, September 2021. http://dx.doi.org/10.1553/populationyearbook2021.deb03.

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Анотація:
This note considers the role that demography as a discipline can play in addressing some of the key questions in the context of human wellbeing and sustainable development. Starting with the wellbeing function of sustainability science that tries to explain an indicator of human wellbeing as being determined by a set of capitals and explanatory factors, it gives an example of how the constituents of such a wellbeing indicator can be combined based on a demographic approach. It also highlights how a broadened view of demographic methodology that goes beyond the conventional focus on age and sex alone can help to make demography more relevant for studying the key challenges of humanity.
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6

Fait, Raul E. Argentina: Nationality, Demography and Security. Fort Belvoir, VA: Defense Technical Information Center, April 1993. http://dx.doi.org/10.21236/ada264537.

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7

Bernardi, Laura. An introduction to anthropological demography. Rostock: Max Planck Institute for Demographic Research, August 2007. http://dx.doi.org/10.4054/mpidr-wp-2007-031.

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8

Gaines, Eleanor. Snowy Plover Demography in Oregon. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6880.

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9

Allendorf, Keera. Coronavirus, Cohorts, and International Demography. Population Council, February 2021. http://dx.doi.org/10.31899/pdr1.1000.

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10

Higgins, Matthew, and Jeffrey Williamson. Asian Demography and Foreign Capital Dependence. Cambridge, MA: National Bureau of Economic Research, May 1996. http://dx.doi.org/10.3386/w5560.

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