Hasil untuk "Economic history and conditions"

Sofia Tapias Montana, Ronnie de Souza Santos

This paper investigates how software professionals perceive the economic implications of diversity in software engineering teams. Motivated by a gap in software engineering research, which has largely emphasized socio-technical and process-related outcomes, we adopted a qualitative interview approach to capture practitioners' reasoning about diversity in relation to economic and market-oriented considerations. Based on interviews with ten software professionals, our analysis indicates that diversity is perceived as economically relevant through its associations with cost reduction and containment, revenue generation, time to market, process efficiency, innovation, and market alignment. Participants typically grounded these perceptions in concrete project experiences rather than abstract economic reasoning, framing diversity as a practical resource that supports project delivery, competitiveness, and organizational viability. Our findings provide preliminary empirical insights into how economic aspects of diversity are understood in software engineering practice.

Hindaf Muhammad Tawfiq, Hilovan Husni Othman

Organizational symmetry is a critical factor in enhancing organizational pride, which positively impacts job performance and organizational loyalty. In the academic environment, faculty members' affiliations are fundamental to universities' success, making the study of the relationship between these two concepts highly significant. The problem lies in the lack of studies examining the impact of organizational symmetry on organizational pride in Iraqi universities, particularly at Zakho University. There is also a need to understand how faculty members perceive this symmetry and how it can be enhanced to increase their pride in belonging to the university. The study aimed to analyze the effect of organizational symmetry, with its dimensions (loyalty, similarity, belonging), on enhancing organizational pride, with its dimensions (emotional and attitudinal), among faculty members. Zakho University was chosen as the field of study, and a sample of faculty members was selected, totaling 243. The fieldwork primarily relied on a descriptive-analytical approach, and a questionnaire waxas distributed to collect data from the study sample. This was done to describe and determine the availability of the study variables at the researched university and to examine their relationships using specific statistical measures and indicators (mean, correlation coefficient, regression) in SPSS. Based on the study's testing and analysis, several results were reached: the most significant was the strong positive relationship between organizational similarity and organizational pride, and shared values between teachers and the university were the most influential factor in enhancing organizational pride.

Elena STĂNCIULESCU

Keeping and archiving finance and accounting documents represent a responsibility for entities that organize and manage financial accounting and for individuals who are required to keep accounting records. Accounting professionals must be aware that, in addition to preparing and using supporting and accounting documents, their recording in accounting, the reconstruction of lost, stolen or destroyed documents, keeping and archiving these documents play a very important role.

Sakshi S. Naik, Lavinia M. Ghilardi, Robert B. Parker et al.

Multistage model predictive control (MPC) provides a robust control strategy for dynamic systems with uncertainties and a setpoint tracking objective. Moreover, extending MPC to minimize an economic cost instead of tracking a pre-calculated optimal setpoint improves controller performance. In this paper, we develop a formulation for multistage economic MPC which directly minimizes an economic objective function. The multistage economic MPC framework is extended for systems with a cyclic steady state (CSS) and stability is guaranteed by employing a Lyapunov-based stability constraint. The multistage economic MPC framework is validated on two natural gas network case studies to minimize the net energy consumption during gas transmission. In both instances, the multistage economic MPC effectively manages uncertain demands by preventing constraint violations and guides the network to its optimal cyclic operating conditions. The Lyapunov function remains bounded in both instances, validating the robust stability of the controller.

Yakir Aharonov, Guy Hetzroni

This oral history interview provides Yakir Aharonov's perspective on the theoretical discovery of the Aharonov-Bohm effect in 1959, during his PhD studies in Bristol with David Bohm, the reception of the effect, the efforts to test it empirically (up to Tonomura's experiment), and some of the debates regarding the existence of the effect and its interpretation. The interview also discusses related later developments until the 1980s, including modular momentum and Berry's phase. It includes recollections from meetings with Werner Heisenberg, Richard Feynman, and Chen-Ning Yang, also mentioning John Bell, Robert Chambers, Werner Ehrenberg, Sir Charles Frank, Wendell Furry, Gunnar Källén, Maurice Pryce, Nathan Rosen, John Wheeler, and Eugene Wigner.

José-Ignacio Antón, Ruthy Intriago, Juan Ponce

The primary goal of conditional cash transfers (CCTs) is to alleviate short-term poverty while preventing the intergenerational transmission of deprivation by promoting the accumulation of human capital among children. Although a substantial body of research has evaluated the short-run impacts of CCTs, studies on their long-term effects are relatively scarce, and evidence regarding their influence on resilience to future economic shocks is limited. As human capital accumulation is expected to enhance individuals' ability to cope with risk and uncertainty during turbulent periods, we investigate whether receiving a conditional cash transfer -- specifically, the Human Development Grant (HDG) in Ecuador -- during childhood improves the capacity to respond to unforeseen exogenous economic shocks in adulthood, such as the COVID-19 pandemic. Using a regression discontinuity design (RDD) and leveraging merged administrative data, we do not find an overall effect of the HDG on the target population. Nevertheless, we present evidence that individuals who were eligible for the programme and lived in rural areas (where previous works have found the largest effects in terms of on short-term impact) during their childhood, approximately 12 years before the pandemic, exhibited greater economic resilience to the pandemic. In particular, eligibility increased the likelihood of remaining employed in the formal sector during some of the most challenging phases of the COVID-19 crisis. The likely drivers of these results are the weak conditionality of the HDG and demand factors given the limited ability of the formal economy to absorb labour, even if more educated.

Bahram Adrangi, Arjun Chatrath, Saman Hatamerad et al.

This study investigates the relationship between the market volatility of the iShares Asia 50 ETF (AIA) and economic and market sentiment indicators from the United States, China, and globally during periods of economic uncertainty. Specifically, it examines the association between AIA volatility and key indicators such as the US Economic Uncertainty Index (ECU), the US Economic Policy Uncertainty Index (EPU), China's Economic Policy Uncertainty Index (EPUCH), the Global Economic Policy Uncertainty Index (GEPU), and the Chicago Board Options Exchange's Volatility Index (VIX), spanning the years 2007 to 2023. Employing methodologies such as the two-covariate GARCH-MIDAS model, regime-switching Markov Chain (MSR), and quantile regressions (QR), the study explores the regime-dependent dynamics between AIA volatility and economic/market sentiment, taking into account investors' sensitivity to market uncertainties across different regimes. The findings reveal that the relationship between realized volatility and sentiment varies significantly between high- and low-volatility regimes, reflecting differences in investors' responses to market uncertainties under these conditions. Additionally, a weak association is observed between short-term volatility and economic/market sentiment indicators, suggesting that these indicators may have limited predictive power, especially during high-volatility regimes. The QR results further demonstrate the robustness of MSR estimates across most quantiles. Overall, the study provides valuable insights into the complex interplay between market volatility and economic/market sentiment, offering practical implications for investors and policymakers.

Hiroto Sato, Konan Shimizu

In social learning environments, agents acquire information from both private signals and the observed actions of predecessors, referred to as history. We define the value of history as the gain in expected payoff from accessing both the private signal and history, compared to relying on the signal alone. We first characterize the information structures that maximize this value, showing that it is highest under a mixture of full information and no information. We then apply these insights to a model of markets for history, where a monopolistic data seller collects and sells access to history. In equilibrium, the seller's dynamic pricing becomes the value of history for each agent. This gives the seller incentives to increase the value of history by designing the information structure. The seller optimal information discloses less information than the socially optimal level.

W. A. Rojas C., A. Zamora

We present an analysis of Bogot'{a}'s sports sector through thermostatistical models applied to economic systems. The study investigates the cross-price elasticity of income ($λ$) to determine whether sports services in Bogot'{a} are normal or inferior goods. Analyzing data from the Sports Satellite Account of Bogot'{a} (CSDB) from 2018 to 2022, we find that demand for sports services is highly elastic, particularly during economic upturns, indicating they are seen as normal or luxury goods. We also calculate the partition function, entropy, and heat capacity, showing consistency with the Boltzmann Principle, which indicates a strong correlation between microstates and the macroeconomic state, supporting the statistical thermodynamic framework. Furthermore, the study employs geometrothermodynamics to assess system stability using Kretschmann and Ricci scalars to identify economic singularities, especially during the pandemic, highlighting its disruptive impact. This approach provides a nuanced understanding of system stability and the effects of external shocks like COVID-19 on the economic structure. Our analysis demonstrates that Bogot'{a}'s sports sector responds elastically to GDP changes, with stability influenced by various macroeconomic factors. However, a decline in heat capacity as economic temperature rises suggests potential growth limitations, necessitating further research to fully grasp the sector's long-term outlook.

Yue Guo, Yi Yang

Large Language Models (LLMs) are widely used for writing economic analysis reports or providing financial advice, but their ability to understand economic knowledge and reason about potential results of specific economic events lacks systematic evaluation. To address this gap, we propose a new dataset, natural language inference on economic events (EconNLI), to evaluate LLMs' knowledge and reasoning abilities in the economic domain. We evaluate LLMs on (1) their ability to correctly classify whether a premise event will cause a hypothesis event and (2) their ability to generate reasonable events resulting from a given premise. Our experiments reveal that LLMs are not sophisticated in economic reasoning and may generate wrong or hallucinated answers. Our study raises awareness of the limitations of using LLMs for critical decision-making involving economic reasoning and analysis. The dataset and codes are available at https://github.com/Irenehere/EconNLI.

Ryan M. McGranaghan

This review examines complexity science in Heliophysics, describing it not as a discipline, but as a paradigm. In the context of Heliophysics, complexity science is the study of a star, interplanetary environment, magnetosphere, upper and terrestrial atmospheres, and planetary surface as interacting subsystems. Complexity science studies entities in a system (e.g., electrons in an atom, planets in a solar system, individuals in a society) and their interactions, and is the nature of what emerges from these interactions. It is a paradigm that employs systems approaches and is inherently multi- and cross-scale. Heliophysics processes span at least 15 orders of magnitude in space and another 15 in time, and its reaches go well beyond our own solar system and Earth's space environment to touch planetary, exoplanetary, and astrophysical domains. It is an uncommon domain within which to explore complexity science. This review article excavates the lived and living history of complexity science in Heliophysics. It identifies five dimensions of complexity science. It then proceeds in three epochal parts: 1) A pivotal year in the Complexity Heliophysics paradigm: 1996; 2) The transitional years that established foundations of the paradigm (1996-2010); and 3) The emergent literature largely beyond 2010. The history reveals a grand challenge that confronts most physical sciences to understand the research intersection between fundamental science (e.g., complexity science) and applied science (e.g., artificial intelligence and machine learning). A risk science framework is suggested as a way of formulating the challenges in a way that the two converge. The intention is to provide inspiration and guide future research. It will be instructive to Heliophysics researchers, but also to any reader interested in or hoping to advance the frontier of systems and complexity science.

Nahuel Enrique Cavagnaro

Este artículo intenta mostrar el accionar de los emisarios diplomáticos de la Monarquía Hispánica en el norte de la península itálica, en general, y en Génova, en particular, durante el siglo XVII. En este ámbito, donde confluían los intereses de los Habsburgos y la Monarquía de Francia, aliada al ducado de Saboya, entidades cuya política exterior irradiaban sistemas de soberanía universal y de expansión territorial. El designio de Francisco de Melo, como interlocutor entre el consejo de Estado y los agentes políticos y de crédito de la República de Génova, fue un aspecto fundamental de la composición de una red de información que operó en la ciudad ligur durante la guerra con Saboya entre 1624 y 1625, la conjura de Giulio Cesare Vacchero en 1628 y la elección del dux de 1633. Así la política interna de Génova pasó a ser un tema de relevancia real, en periodos turbulentos en el entramado imperial de la Monarquía Hispánica.

S. Eich

Rediscovery of John Rawls's early interest in theology has recently prompted readings of his philosophical project as a secularized response to earlier theological questions. Intellectual historians have meanwhile begun to historicize Rawls's use of contemporary philosophical resources and his engagement with economic theory. In this article I argue that what held together Rawls's evolving interest in postwar political economy and his commitment to philosophy as reconciliation was his understanding of the need for secular theodicy. In placing Rawls in the intellectual context of a postwar political economy of growth as well as in relation to the history of political thought, including his reading of that history, I defend two claims. First, I argue that Rawls's philosophical ambition is best understood as providing a secular reconciliatory theodicy. Second, I suggest that Rawls's theodicy was initially rendered plausible by the economic background conditions of economic growth that were fractured and fragmented just as Rawls's book was published in 1971. This divergence between text and context helps to account for Rawls's peculiar reception and his own subsequent attempt to insist on the applicability of his theory under radically altered circumstances.

Lishan Xiao, Peiqi Shi, Tong Lin et al.

Rapid urbanization in China has transformed many rural areas from agriculture-dominated to diverse systems, but studies of rural morphology are limited compared to studies of urban settlement. This paper uses a fractal dimension (FD) value to analyze the change in rural morphology in Fujian Province, a region with a long history of rural settlement and rapid recent urbanization, and to explore the factors that influenced this change. We found that the rural FD value increased from 2000 to 2012 and that rural morphology was spatially heterogeneous. FD was generally lower than in urban areas but very close to a typical urban area value in the southeast coastal region. A structural equation model was used to identify key factors influencing rural morphology, which were natural conditions, rurality and economic development, while historic administration had the smallest positive effect. With a long history and unique administrative system, the spatial morphology of Chinese rural areas has shown characteristics distinct from compact urban or scattered rural areas. The urban planning method adopted by rural planners is not suitable in rural regions, because the planning potential of rural areas with high and low FD values varies. Although rural planning currently uses a very similar approach to urban planning, it should use a local, flexible and adaptive policy based on rural morphological characteristics.

Natalia Fabra, Massimo Motta, Martin Peitz

Martha Virginia González Medina

El compromiso social de educar y enseñar bajo el enfoque de la sustentabilidad exige un cambio: dejar de reducir a la Naturaleza a una simple mercancía y qué cambios, estrategias y recursos utilizar para formar a losfuturos profesionistas bajo un enfoque multidisciplinar, interdisciplinar, transdisciplinar y crítico. La Universidad de Guadalajara enfrenta un gran reto, como institución deberá asumir compromisos y acciones conjuntas como institución de educación superior para formar un nuevo tipo de profesionistas; llevar a cabo modificaciones en todos los planes de estudio de las diferentes carreras; formar a sus profesores, lo cual implica hacer frente a las barreras institucionales e interpersonales apoyándose en el trabajo colaborativo con otras universidades, empresas, gobierno y ONGs bajo un compromiso social. Aunque se reconoce la necesidad de esos cambios y se desea hacerlo, falta diseñar la ruta de acción para llevarlo a cabo. El reciente Seminario Prospectiva, pensamiento complejo y transdisciplina contribuyó a replantear diversas problemáticas y dar cabida a la discusión de nuevos temas y/o novedosos abordajes, pero lo que es más importante, transitar de la teoría al terreno de la realidad y sus problemáticas. Para ello se requiere desarrollar una serie de competencias para la sostenibilidad (Evans, 2009): pensamiento sistémico, anticipatoria, normativa, estratégica e interpersonal con las que se espera que el alumno resuelva los problemas de sostenibilidad y también para fomentar el desarrollo sostenible. Pero por otra parte, más importante aún, es entender que la sustentabilidad es un tema vasto y complejo.  

Dirk Pauly, Michael Schomburg

We show that the elasticity Hilbert complex with mixed boundary conditions on bounded strong Lipschitz domains is closed and compact. The crucial results are compact embeddings which follow by abstract arguments using functional analysis together with particular regular decompositions. Higher Sobolev order results are proved as well. This paper extends recent results on the de Rham Hilbert complex with mixed boundary conditions from [11] and recent results on the elasticity Hilbert complex with empty or full boundary conditions from [15].

Maria Papadopoulou, Zacharoula Smyrnaiou

Digital technologies, such as the Internet and Artificial Intelligence, are part of our daily lives, influencing broader aspects of our way of life, as well as the way we interact with the past. Having dramatically changed the ways in which knowledge is produced and consumed, the algorithmic age has also radically changed the relationship that the general public has with History. Fields of History such as Public and Oral History have particularly benefitted from the rise of digital culture. How does our digital culture affect the way we think, study, research and teach the past, as historical evidence spreads rapidly in the public sphere? How do digital technologies promote the study, writing and teaching of History? What should historians, students of history and pre-service history teachers be critically aware of, when swarmed with digitized or born-digital content, constantly growing on the Internet? And while these changes are now visible globally, how is the discipline of History situated within the digital transformation rapidly advancing in Greece? Finally, what are the consequences of these changes for History as a subject taught at Greek secondary schools? These are some of the issues raised in the text that follows, which is part of the course materials of the undergraduate course offered during winter semester 2020-2021 at the School University of Athens, School of Philosophy, Pedagogy, Psychology. Course Title: 'Pedagogics of History: Theory and Practice', Academic Institution: School of Philosophy-Pedagogy-Psychology, University of Athens.

Christis Katsouris

Monitoring economic conditions and financial stability with an early warning system serves as a prevention mechanism for unexpected economic events. In this paper, we investigate the statistical performance of sequential break-point detectors for stationary time series regression models with extensive simulation experiments. We employ an online sequential scheme for monitoring economic indicators from the European as well as the American financial markets that span the period during the 2008 financial crisis. Our results show that the performance of these tests applied to stationary time series regressions such as the AR(1) as well as the AR(1)-GARCH(1,1) depend on the severity of the break as well as the location of the break-point within the out-of-sample period. Consequently, our study provides some useful insights to practitioners for sequential break-point detection in economic and financial conditions.

Jiangtao Lin, B. Xing, Huaping Tang et al.

Purpose Details of patients hospitalized for asthma exacerbation in mainland China are lacking. To improve disease control and reduce economic burden, a large sample survey among this patient population is indispensable. This study aimed to investigate the clinical characteristics and outcomes of such patients. Methods A retrospective study was conducted on patients hospitalized for asthma exacerbation in 29 hospitals of 29 regions in mainland China during the period 2013 to 2014. Demographic features, pre-admission conditions, exacerbation details, and outcomes were summarized. Risk factors for exacerbation severity were analyzed. Results There were 3,240 asthmatic patients included in this study (57.7% females, 42.3% males). Only 28.0% used daily controller medications; 1,287 (39.7%) patients were not currently on inhaled corticosteroids. Acute upper airway infection was the most common trigger of exacerbation (42.3%). Patients with severe to life-threatening exacerbation tended to have a longer disease course, a smoking history, and had comorbidities such as hypertension, chronic obstructive pulmonary disease (COPD), and food allergy. The multivariate analysis showed that smoking history, comorbidities of hypertension, COPD, and food allergy were independent risk factors for more severe exacerbation. The number of patients hospitalized for asthma exacerbation varied with seasons, peaking in March and September. Eight patients died during the study period (mortality 0.25%). Conclusions Despite enhanced education on asthma self-management in China during recent years, few patients were using daily controller medications before the onset of their exacerbation, indicating that more educational efforts and considerations are needed. The findings of this study may improve our understanding of hospital admission for asthma exacerbation in mainland China and provide evidence for decision-making.