Hasil untuk "Economic theory. Demography"

D. Massey

J. Caldwell

E. Palmore, R. Binstock, E. Shanas

W. Zelinsky

Keith Chen

Gregory Casey, S. Shayegh, J. Moreno-Cruz et al.

We examine the potential for climate change to impact fertility via adaptations in human behavior. We start by discussing a wide range of economic channels through which climate change might impact fertility, including sectoral reallocation, the gender wage gap, longevity, and child mortality. Then, we build a quantitative model that combines standard economic-demographic theory with existing estimates of the economic consequences of climate change. In the model, increases in global temperature affect agricultural and non-agricultural sectors differently. Near the equator, where many poor countries are located, climate change has a larger negative effect on agriculture. The resulting scarcity in agricultural goods acts as a force towards higher agricultural prices and wages, leading to a labor reallocation into this sector. Since agriculture makes less use of skilled labor, climate damage decreases the return to acquiring skills, inducing parents to invest less resources in the education of each child and to increase fertility. These patterns are reversed at higher latitudes, suggesting that climate change may exacerbate inequities by reducing fertility and increasing education in richer northern countries, while increasing fertility and reducing education in poorer tropical countries. While the model only examines the role of one mechanism, it suggests that climate change could have an impact on fertility, indicating the need for future work on this important topic.

E. Glaeser, Bryce Ward

Thi Cam Thuy Ngo, H. Nguyen, Hoang Phi Nguyen et al.

The rapid expansion of online commerce has significantly altered consumer behavior, particularly among digitally-savvy Generation Z individuals. This research analyzes the influence of product presentation videos on online impulsive buying behaviors in this demographic, using the Shopee video platform as a case study. The study aims to investigate how various external factors, including time pressure (TP), quantity pressure (QP), economic benefits (EB), social influence (SI), visual (VS), and sound (SO), affect online impulse buying by mediating emotions of arousal (AR) and pleasure (PL). This study employed a quantitative approach, and data was collected through a Likert scale questionnaire using a non-probability sampling technique. PLS-SEM statistical analysis was utilized to assess the research model, exploring the interplay of these stimuli in shaping impulsive buying behavior on the Shopee platform, among 438 Vietnamese Generation Z. The study's results indicate significant impacts of all factors on arousal, while time pressure, quantity pressure, and economic benefits did not significantly influence pleasure. Notably, arousal and pleasure emerged as mediators shaping impulsive buying decisions among Generation Z. These findings indicate that strategic use of external factors can effectively trigger emotions, leading to impulsive buying among digital natives. This also offers valuable insights for marketers looking to enhance e-commerce strategies on platforms such as Shopee video. Marketers can trigger customers' impulsive buying by creating a sense of urgency (e.g. flash sales, limited quantities), useful online reviewing, and personalizing discounts. Additionally, using visual and sound strategies in a positive online experience can further enhance this behavior and shape preferences. This study's findings contribute to a deeper understanding of consumer behavior theories in the digital era, highlighting the intricate roles of arousal and pleasure in online impulse buying.

Achim Edelmann, T. Wolff, Danielle Montagne et al.

The integration of social science with computer science and engineering fields has produced a new area of study: computational social science. This field applies computational methods to novel sources of digital data such as social media, administrative records, and historical archives to develop theories of human behavior. We review the evolution of this field within sociology via bibliometric analysis and in-depth analysis of the following subfields where this new work is appearing most rapidly: (a) social network analysis and group formation; (b) collective behavior and political sociology; (c) the sociology of knowledge; (d) cultural sociology, social psychology, and emotions; (e) the production of culture; (f) economic sociology and organizations; and (g) demography and population studies. Our review reveals that sociologists are not only at the center of cutting-edge research that addresses longstanding questions about human behavior but also developing new lines of inquiry about digital spaces as well. We conclude by discussing challenging new obstacles in the field, calling for increased attention to sociological theory, and identifying new areas where computational social science might be further integrated into mainstream sociology.

Catherine Quantin, Jonathan Cottenet, Colleen Chambers et al.

Objectives Child physical abuse (CPA) is a global public health problem associated with lifelong negative consequences, yet reliable epidemiologic data are lacking. We did a multinational cohort study to analyse trends in CPA hospitalisations between 2013 and 2021. Method We used medico-administrative databases to identify children aged one month to five years hospitalised in Denmark, England, France, Ireland, and Wales. Analysing data on more than 12 million hospitalisations, we identified CPA using a validated algorithm based on International Classification of Diseases-10 codes (ICD-10 codes). We calculated the number, proportion, and incidence rate of children hospitalised for CPA, and the number and proportion of total hospitalisations for CPA, by year and age group (<1 and <5). We assessed the distribution of ICD-10 codes used to identify CPA, in each country. Results The pooled incidence rate of infants <1 year hospitalised for CPA was stable over time (around 42/100,000 per year), ranging on average from 33 to 48/100,000 between countries. Average incidence rates for infants were highest in England and lowest in Wales. The pooled proportion of infant CPA hospitalisations was around 0.17% per year (range 0.15–0.21%), increasing significantly during the COVID-19 pandemic in 2020 (0.21%). In children <5, the incidence rate (around 18/100,000 per year) and proportion of CPA hospitalisations (around 0.11% per year, range 0.10–0.14%) were lower than in infants but also increased in 2020 (0.14%). There were national differences in the distribution of ICD-10 codes used to record CPA and differences in year-on-year trends between countries. Conclusions This study is, to our knowledge, the first large-scale analysis examining trends in CPA hospitalisations in more than two European countries. We demonstrated that comparing temporal trends in CPA hospitalisations between countries is feasible, implying that hospital data are one of several valuable sources of information for surveillance of CPA.

César A. Hidalgo, Viktor Stojkoski

We provide a mechanistic foundation for economic complexity methods. In our model, an economy's ability to produce an activity depends on the joint presence of required factors. We analytically derive the Economic Complexity Index for this model and show that it is a monotonic function of the probability an economy holds many factors, validating it as an agnostic measure of productive capabilities. We also show that this model explains differences in the shape of networks of related activities, such as the product space or research space. These findings solve long standing puzzles in the literature on economic complexity.

Horst Treiblmaier

Dee Hock, the founder of Visa, coined the term 'chaordic' to describe simultaneously chaotic and ordered systems. Based on his reasoning, we introduce the Theory of Chaordic Economics to explain how economic systems are transformed by two disruptive technologies: namely Artificial Intelligence and Blockchain. Artificial intelligence can generate novel output through algorithmic yet rather unpredictable processes. Blockchain creates deterministic results without central authorities and relies on elaborated protocols that prescribe how consensus can be reached within a network of peers. The amalgamation of chaos and order produces chaordic economic systems and can yield hitherto unthinkable economic structures.

Frank Martela, Annika Lehmus-Sun, P. Parker et al.

In the quest to identify the key sources of subjective well-being, self-determination theory (SDT) has proposed that three basic psychological needs—autonomy, competence, and relatedness—are fundamental to well-being across cultures. To understand their influence on well-being, we analyzed data from European Social Survey on 27 European countries (n = 48,550) using structural equation modeling with alignment invariance that allowed us to get comparable indicators across the countries. Both across Europe, and within each of the 27 countries, SDT’s basic psychological needs—both when examined alone and when examined together—were strongly related to key indicators of well-being (happiness, life satisfaction, and meaning in life) and a key indicator of ill-being (symptoms of depression), even controlling for demographic factors and socio-economic position. Moreover, basic needs substantially and sometimes fully mediated the effects of socio-economic position on well-being, underscoring their status as crucial to human well-being.

Sára Farkas

The purpose of this study is to shed light on the possibilities of higher-level development policy involvement of the financial intermediary institutional system, with particular regard to regional development. The investigation was primarily based on the analysis of the Hungarian financial intermediary system of refundable subsidies from the European Union that operated from 2007 through 2013. The reason for this is that, in terms of the diversity of the institutional system, both concerning the preceding and the 2014-2020 development cycle, this period had the highest diversity of institutions mediating subsidies, which plays a crucial role in the development of solutions that are more precisely suited to the financing needs of the final beneficiaries. After reviewing the available literature and development policy documents, I applied a research method based on a Delphi analysis. The investigation revealed a new finding: the market experience of the institutions' experts was the key factor in the successful placement of intermediary institutions' resources. This aspect had not been previously highlighted in evaluations or literature findings. In addition, the research pointed out, among other things, that for more optimal use of financial instruments for cohesion purposes, an integrated policy mix should be created at a higher level, including primarily the social and financial sectors, as well as the territorial development policy. All this would enable the introduction of combined support products at the implementation level, linking financial instruments with other non-financial types of support. For example, loan or guarantee products could be supplemented with consultancy, education, or mentoring support (especially concerning management, organization development, and strategic planning).

Calum Hughes, Adrian Miranda

We give an elementary description of $2$-categories $\mathbf{Cat}\left(\mathcal{E}\right)$ of internal categories, functors and natural transformations, where $\mathcal{E}$ is a category modelling Lawvere's elementary theory of the category of sets (ETCS). This extends Bourke's characterisation of $2$-categories $\mathbf{Cat}\left(\mathcal{E}\right)$ where $\mathcal{E}$ has pullbacks to take account for the extra properties in ETCS, and Lawvere's characterisation of the (one dimensional) category of small categories to take account of the two-dimensional structure. Important two-dimensional concepts which we introduce include $2$-well-pointedness, full-subobject classifiers, and the categorified axiom of choice. Along the way, we show how generating families (resp. orthogonal factorisation systems) on $\mathcal{E}$ give rise to generating families (resp. orthogonal factorisation systems) on $\mathbf{Cat}\left(\mathcal{E}\right)_{1}$, results which we believe are of independent interest.

Олександр Атамас

У статті проаналізовано сучасний стан інвестиційної діяльності в Україні, розглянуто вітчизняний та міжнародний аспекти її ведення, визначено головні проблеми забезпечення високого рівня інвестиційної привабливості національної економіки в контексті реалій сьогодення. Проведено комплексний аналіз факторів формування інвестиційного потенціалу та інвестиційних ризиків на макрорівні, об’єму залучення інвестиційного капіталу в національну економіку, основних перешкод та ризиків низької інвестиційної активності в Україні на сучасному етапі. Визначено динаміку змін показника валового внутрішнього продукту та обсягу капітальних інвестицій в економіку України, запропоновано ключові напрями державної політики щодо активізації процесу залучення інвестицій в національну економіку.

Stephan Ochsenfeld, Sören Schlichting

Viscous hydrodynamics serves as a successful mesoscopic description of the Quark-Gluon Plasma produced in relativistic heavy-ion collisions. In order to investigate, how such an effective description emerges from the underlying microscopic dynamics we calculate the hydrodynamic and non-hydrodynamic modes of linear response in the sound channel from a first-principle calculation in kinetic theory. We do this with a new approach wherein we discretize the collision kernel to directly calculate eigenvalues and eigenmodes of the evolution operator. This allows us to study the Green's functions at any point in the complex frequency space. Our study focuses on scalar theory with quartic interaction and we find that the analytic structure of Green's functions in the complex plane is far more complicated than just poles or cuts which is a first step towards an equivalent study in QCD kinetic theory.

V. V. Mortikov

Adaptation of employees and employers to each other is very important for resolving many problems of labour economics and HR management. There are four types of response to discrepancy between opportunities and needs of labour relation entities: adjustment of workers to work-place requirements; changes in work-places on the part of employees; changes in work-places by employers necessary to comply with needs and qualification of workers; adaptation of employers to needs and qualities of workers. Adaptation of employers and employees to each other and changing work-places by them act, to a certain extent, as substitutes, which allow labour relation participants to interact effectively. Having faced restrictions by one of the four mentioned response to discrepancy between workers’ characteristics and work-places, the given participants turn to another response. The author using the experience of a university lecturer researches changes in work-place on the part of employees in the system of higher education. To analyze the potential of changing work-place characteristics the data of Risstat selective study was used. Factors showing specific features of adaptation of employees and employers to each other were identified and analyzed. Among them the author mentioned the situation on markets of finished products and labour, where the organization (employer) is involved, professional and personal qualities of worker, budget restrictions of labour relation entities, specific features of labour contracts and legislation.

Irina G. Romanenko, Maxim I. Danilov

The authors reveal a mathematical model for a DC engine with a subordinate control system. The developed software system contains a model for engine start both without parameter regulation and with that. There has been shown the influence of the engine parameters on the quality of the control.

Claudio Bosco, Sara Grubanov-Boskovic, Stefano Iacus et al.

With the consolidation of the culture of evidence-based policymaking, the availability of data has become central to policymakers. Nowadays, innovative data sources offer an opportunity to describe demographic, mobility, and migratory phenomena more accurately by making available large volumes of real-time and spatially detailed data. At the same time, however, data innovation has led to new challenges (ethics, privacy, data governance models, data quality) for citizens, statistical offices, policymakers and the private sector. Focusing on the fields of demography, mobility, and migration studies, the aim of this report is to assess the current state of data innovation in the scientific literature as well as to identify areas in which data innovation has the most concrete potential for policymaking. Consequently, this study has reviewed more than 300 articles and scientific reports, as well as numerous tools, that employed non-traditional data sources to measure vital population events (mortality, fertility), migration and human mobility, and the population change and population distribution. The specific findings of our report form the basis of a discussion on a) how innovative data is used compared to traditional data sources; b) domains in which innovative data have the greatest potential to contribute to policymaking; c) the prospects of innovative data transition towards systematically contributing to official statistics and policymaking.