Areas Of Economics Research Articles

Multi-Step-Ahead Time Series Forecasting using Deep Learning and Fuzzy Time Series-based Error Correction Method

Recently time series forecasting has become one of the prime application areas of climatology, economics and industries. Many research works are conducted to forecast the time series more accurately. But few of them are concentrated on predicting the time series over an extended future horizon, and there is also a scope to improve their forecasting accuracy. This work proposes a multi-step-ahead foresting method to produce a stable and accurate forecasting result for the extended future horizon. Firstly, a deep learning-based forecasting model is proposed to predict the time series. Secondly, a fuzzy time series-based error correction model is implemented to enhance the prediction performance of the deep learning model. Here to optimize all the fuzzy time series (FTS) parameters in an integrated way, an integrated butterfly optimization (FTS-IBO) algorithm is proposed. In this study, two different types of real-world multivariate time series datasets are used to analyze the forecasting performance of the proposed model. The performance of the proposed FTS-IBO algorithm is compared with the traditional butterfly optimization (FTS-BO) algorithm. The experimental results show that the FTS-IBO technique is superior to the FTS-BO technique. The forecasting performance of the proposed model has also compared the other state-of-the-art models, and the simulation results exhibit that the proposed model produces a more accurate prediction performance for multi-step-ahead time series forecasting problems compared to other models.

Impacts on Health, Environment and Quality of Life in the Post-Covid-19 Pandemic Period

Objective: To investigate how the pandemic and the post-COVID-19 scenario may impact current and future plans in health (medical area), the environment, and the population's quality of life. Theoretical Framework: In 2019, the world began to live as a hostage to an infectious disease caused by the SARS-CoV-2 coronavirus. As uncertainty reigns, the severity of the situation has shown that it could have social, health, educational, economic, and environmental aspects. Method: The methodology adopted for this research comprises a bibliographic review based on books, cataloged scientific articles being published on digital platforms including Scientific Library Online (SciELO), Pubmed, Periódico Capes, Cochrane, and Google Scholar, using the descriptors: COVID-19; quality of life; environment; health; and their respective synonyms, in Portuguese and English, published between 2015 and 2024. The exclusion criteria used in this study were duplicate articles in more than one database, with similar titles and that did not cover the topic, as well as articles published before 2015 in Portuguese and English. The main aspects analyzed for inclusion were the year of publication, type of study, language, objectives and main findings, according to the relevance of the original and current topic. Therefore, considering the inclusion and exclusion criteria, we made a cut of works published in the last 9 years and in the end 31 works were selected for the construction of this study. Results and Discussion: The results obtained revealed that all social spheres were, and may still be, affected unequally by the pandemic, since it is a situation of unknown nature, which is intensified every day by globalization and social inequalities. Direct impacts on the economy and jobs, as well as indirect effects of learning losses among children who are out of school. In terms of health and the impact on quality of life, we found changes in mental health, with an increase in the diagnosis of depression among adults. Research Implications: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied or influence practices in the fields of health, environment and education. These implications can cover areas of health promotion, economics and public and private management. Originality/Value: This study contributes to the literature by addressing a current topic with extreme social relevance that prioritizes deepening knowledge in the area that has changed humanity the most in current times: the COVID-19 Pandemic. Furthermore, it analyzes the real impacts of this historical and unique moment in the global context, with a greater focus on health, the environment and the quality of life of the human population.

Food security and the ma(s)king of indigenous peoples’ dispossession: the example of Inuit in Canada

ABSTRACT Focusing on constructions of food security in settler colonial contexts, this article demonstrates how its contemporary conceptualization is heir to long-standing schemes to reform Indigenous peoples and validate state projects. It highlights how discursive regimes of food security in the areas of health, conservation, and economics were conceived within frameworks that instruct Indigenous peoples as to correct behaviour, blame them for their misconduct, and ignore the role of settler states and populations in defining notions of right and wrong and in creating the conditions that promote and sustain those definitions. Ignorance, blame, and indoctrination are thus constitutive features of state interventions aimed at promoting Indigenous peoples’ food security. Using instructional publications directed at Inuit, the article demonstrates how, through the provision of services, and in the exercise of settler nation-building, Indigenous peoples have been subjected to programmes of indoctrination and ideological pacification whilst larger contexts of dispossession are bracketed out.

중학교 가정교과 인공지능 활용 식생활 교수⋅학습 과정안 개발 및 적용

The purpose of this study was to design a lesson utilizing artificial intelligence in the dietary area of home economics and to investigate the effectiveness of the lesson by implementing it. To achieve the purpose of the study, practical problem-based lessons were selected by analyzing the achievement standards of the home economics curriculum, and strategies using AI were designed and put into the process of practical problem-based lessons to develop a teaching and learning curriculum. This was implemented on middle school students to assess the impact on the three systems of action and to evaluate strengths and areas for improvement. The learning topic is set as “What dietary choices should we make to lead a healthy and self-directed life?” and developed a teaching and learning plan, learning activities, and rubrics for four sessions utilizing generative AI services such as ChatGPT, WRTN, Askup, and typecast. The developed teaching and learning plan was implemented to 170 first-grade students middle school in Gwangju. A paired sample t-test was conducted on the pre- and post-test of the three systems of action, and it was found that there was a significant difference between the pre- and post-test (t=-2.86, p<.05). Students gave positive feedback on the AI-assisted dietary class, as it provided diverse and accessible information for analyzing dietary problems and identifying causes and solutions, and enabled efficient completion of learning tasks.

Promising areas of slag processing in ferrous metallurgy

The characteristics of promising areas of slag processing in ferrous metallurgy are given. An increase in requirements for environmental protection was noted. Modern slag processing includes primary and secondary processing, which differ in the physical state of the slag. The technological foundations of mass processing of slag have been formed at the Ural Institute of Metals. An assessment of the state of slag processing shows that the capacity of crushing and screening plants, mainly due to complexes purchased abroad, exceeds the yield of slag of current production and leads to a decrease in dumps. Modern areas of economics and environmental protection require the creation and implementation of new technologies and equipment for the processing of slag in liquid and solid form, improving the quality of products at all stages of processing. Processing of slag in liquid form at furnace (or located near melting furnaces) plants will make it possible to organize the technological process in highly economical environmentally friendly small-sized units, to adjust the composition and properties of slag, to expand the range and quality of the resulting products, to create conditions for the utilization of melt heat and the recycling of slag processing products. These processes reduce the environmental burden on the environment, reduce material, energy and operational costs, and expand the range and quality of the products obtained

Russia’s Foreign Policy Priorities in the Arctic Region Development at Current Stage

The article reviews the features of the processes in the Arctic region in the context of its growing importance in world politics and economics. The Arctic has the richest resources in the world. In the depths of the Arctic there is about a third of all the world’s reserves of natural gas and up to 13% of oil, huge reserves of coal, gold, copper, nickel, tin, platinum, and manganese. The growing dependence of the world economy on energy resources is pushing foreign countries to develop their interests in this region. Russia occupies a unique geopolitical position in the Arctic. The Arctic zone of Russia is singled out as a special object of state policy on the basis of its special national interests in the areas of geopolitics, economics, ecology, science, defense and national security. The development of mutually beneficial international cooperation in the Arctic meets the interests of Russia and its socioeconomic development. International cooperation in the Arctic is greatly influenced by the contradictory trends in modern international relations. As a result of the confrontation unleashed by Western countries against Russia, there was a significant complication of relations within the Arctic community. The Western Arctic states have blocked the development of common approaches to solving the most important issues for the region in the modern Arctic. In these conditions, Russia is building a multi-vector policy in the Arctic, which has brought positive results in attracting friendly states to partner cooperation on the implementation of projects in the Russian Arctic zone.

Editorial: Embracing New Horizons

In September 2024, ‘ISRA International Journal of Islamic Finance’ (IJIF) has been rebranded, and its publication is being continued under a new title, ‘International Journal of Islamic Finance and Sustainable Development’ (IJIFSD), following an institutional collaboration between the Islamic Development Bank Institute (IsDBI) and INCEIF University. The collaboration in the publication of IJIFSD marks the interest of both institutions in driving innovative research to create more meaningful real-world impact and support sustainable economic development in societies. The collaboration brings the combined resources and expertise of the two institutions in providing a premier platform for showcasing cutting-edge research by synthesising the principles of Islamic finance and sustainable development practices. While IJIFSD will continue to be published by ISRA Research Management Centre, INCEIF University, it will now have the added leverage of IsDBI to support its sponsorship and ensure its open and free accessibility to readers. The new title incorporates the terms ‘sustainable development’ as a strategic move to align the journal with the evolving landscape of Islamic finance that promotes global sustainability goals and, thus, results in a journal that is broader in scope and coverage. Therefore, besides focusing on the areas of Islamic economics, banking and finance and its related fields—Islamic capital markets, Islamic social finance, takāful (Islamic insurance), Islamic financial law, and Sharīʿah applications in Islamic finance—attention will also be given to the discourse on sustainability and sustainable economic development. With the expanded scope, it is expected that the journal will garner increased appeal to a wider range of authors and readers. It will also be able to reach a wider range of markets that have not yet been served, as well as have greater impact through enhanced citations. The key features of the rebranded journal therefore include: Focus: emerging trends such as green finance, impact investing, financial inclusion. Platform: fostering a community of forward-thinking scholars, researchers, policymakers, and practitioners to share insights on issues of concern. Goal: providing practical solutions for sustainable economic development and showcasing Islamic finance’s role in creating shared prosperity.

FEATURES OF INTERNATIONAL REGULATION IN THE SPHERE OF DIGITAL FINANCIAL ASSETS

The article is devoted to the study of the legal regulation of the market of digital assets and cryptocurrencies, which is one of the most relevant and dynamically developing areas of modern law and economics. The work examines the main approaches to the regulation of digital assets in various countries, analyzes the advantages and disadvantages of existing legal norms and proposals for their improvement. Based on the analysis, recommendations are proposed for the formation of an effective legal framework that can ensure the stable development of the market for digital assets and cryptocurrencies, while minimizing potential risks.

THE EVOLUTION OF THE PERFORMANCE CONCEPT – A BIBLIOMETRIC ANALYSIS

The main objective of the study is to research the evolution of the concept of performance, through the lens of definitions given since 1957 until today. Also, the research proposes a performance analysis from a general approach to a financial approach. Currently, a great significance is represented by the existing performance at the level of the companies, practically any company has as its goal the obtaining of profit, and within a profitable company we are talking about the performance of the companies. At the end of this article, I performed a bibliometric analysis that aimed to identify scientific works that address the theme of "the evolution of the concept of performance", using the VOS Viewer program. So, as we identified in the Web of Science Core Collection platform, by selecting the areas of interest Business Finance, Business, Economics and Management, a number of 697 articles written between 1999 and 2023 resulted. The importance of the theme began to grow starting with year 2007, and since 2010 it has been written constantly until now, but in 2020 the most articles were written on the analyzed topic. Depending on the country of origin of the published articles, most articles were published by researchers from the USA, followed by England, Spain, Italy and Romania. Finally, we analyzed the fields of journals in which the most articles on the chosen topic were published, and last but not least, we analyzed the network visualization for the co-occurrence of keywords.

OVERCOMING ENGLISH LANGUAGE SKILLS BARRIERS IN EDUCATIONAL INSTITUTIONS

English is one of the international languages that has global mastery in many areas of life, including science, information technology, education, politics, economics, social, and cultural aspects. The problems with learning English that still exist today are that many students from elementary school to college can't speak English and haven't been able to maximize their English skills well, despite having mastered English and studied for many years in educational institutions. One of the causes is that some of them use English as a subject and course without any implementation or practice in the areas of reading, speaking, listening, writing, and so on. The aim of this article is to find out the solution to the problem of English skills. Key Words: English; Problems; Skills; Solution.

Modeling green energy and innovation for ecological risk management using second generation dynamic quantile panel data model

Ecological risk management has emerged as a critical research and policy development area in energy and environmental economics. Sustained ecology is crucial for the standard of living and food security. As the adverse impacts of environmental degradation and climate change become increasingly apparent it is imperative to understand ecological risk and its interconnectedness with environmental pressure, clean energy, economic activity, globalization, and green technology. Ecological risk is assessed using the environmental performance index which is a holistic indicator of climate change, environmental pressures and human actions in which most of these indicators have spatial effects. This paper explores the multifaceted relationship between identified anthropogenic critical factors and their role in effectively managing ecological risk globally. This study has developed the second-generation dynamic panel quantile regression considering spatial effects of economic activities on ecology across borders of 55 countries between 1995 and 2022. This innovative hybrid estimation scheme that integrated theoretical and econometric aspects makes the model robust to major regression issues. Several implications ranked in decreasing order of its effectiveness are reducing environmental pressure, expediting energy transition, and embracing economic integration while there is a need to work on rejuvenating green technology and green growth.

A Bibliometric Study: General Equilibrium Models on Energy Economics

General equilibrium (GE) models are commonly used for economic impact analysis. They offer a benchmark for analyzing changes in the overall economy due to new policies, shocks, or technological improvements, using the data from the social accounting matrices and input-output tables. GE models are widely used for analyzing the areas of energy economics, as the focus on energy-related issues has become critical throughout the years. Therefore, a broad literature focuses on the GE models and energy economics. This study uses bibliometric analysis to examine the networks between the existing literature between 1990-2020. No other paper uses this method to focus on the selected literature. The data for the bibliometric analysis is subtracted from the Web of Science. The keywords are "computable general equilibrium, dynamic stochastic general equilibrium, and energy." Dynamic Stochastic Models are added to expand the scope of the dataset. In addition, the paper reviews the ten most cited articles based on the data retrieved from the Web of Science. The main results of the bibliometric analysis show that the GE models were highly used after 2005, with the introduction of international energy agreements. The focus of these models is usually renewable energy and mitigation policies.

The Most Prestigious Research Areas in Financial Economics From 1896 to 2006: Scientometrics Based on Complex Networks

This work has three objectives related to scientometrics of financial economics from 1896 to 2006: (i) to detect which are the most cited authors and co-authors of a sample of the most influential works in the finance literature; and (ii) define the most relevant co-authorship groups in this sample; and (iii) develop a complex network with the links between these clusters, authors and co-authors. We used the Complex Network Statistics weighted degree metric, IDEAS/RePEc scores, and ranking to achieve the first objective. For the second, we adopt the modularity class process. For the third, we use Yifan Hu's proportional layout algorithm. The database was gathered from two sources, the Institute for New Economic Thinking's The History of Economic Thinking website and the references described by financial historian Peter L. Bernstein in his seminal book tracing the history of financial and economic thought.

Some real Life Application of Derivatives in Economics

In this assignment, we addressed the usage of derivatives in several areas of economics, such as demand elasticity, cost minimization, and profit maximization. In addition, derivatives are used to calculate marginal revenue, marginal cost, and marginal product. This work is motivated by the work of [1-24].

Income per-capita across-countries: stories of catching-up, stagnation, and laggardness

ABSTRACT The convergence/divergence debate and plausible explanations to the process of catching-up remain highly controversial research areas in growth economics. Recently, these issues have been the subject of questionable predictions with regard future prospect for backward countries, raising concerns about the right direction of macroeconomic policy. To explore these issues, a sample of 131 countries is studied over the 1950s–2010s to identify those that have managed to catching-up, remain stagnant, or keep lagging further behind. Time-distance to the frontier and productivity decompositions, based on non-parametric methods, suggest that some countries have successfully completed already the caching-up, and it would take between 27 and 194 years for others to do so in the most optimistic scenario. But many others would never do. Policy implications drawn from the comparative analysis suggests the need to strengthen local innovation in order to increase the ability to catching-up alongside widespread reliance on technology diffusion from abroad.

Geographical and economic foundations of the study of infrastructure: collective monograph

Based on a systematic approach, the monograph examines the features of the placement and development of the infrastructure complex in various areas of geography and economics. The monograph is intended for representatives of the scientific and pedagogical community, undergraduate and graduate students, graduate students and students of advanced training and professional retraining courses

‘Understanding socialism from the outside and from the inside’ – Interview with Alberto Chilosi

Alberto Chilosi is a former Professor of Economic Policy in the Department of Economics at the University of Pisa, Italy. After obtaining a degree in Law at Pisa, he earned a scholarship to Warsaw, receiving a Diploma in Economic Planning in 1968 and a Doctorate in Economics in 1972. He has been mainly active in the area of Comparative Economics, the Economics of Socialism, and the Economics of Transition. As a chairman of the Italian Association of Comparative Economic Studies, he has cooperated to organise the founding of the European Association of Comparative Economic Studies, serving as a member of its first Executive Committee. As a Senior Associate Member of St Antony’s College, University of Oxford (UK), he has taken part in its research in the area of Economics of Eastern Europe. He has also contributed in the areas of Macroeconomics and Growth Theory. While there are numerous examples of Western scholars who have studied the socialist system from the outside, as well as Eastern scholars who have studied it from the inside, Chilosi represents a rare case of a scholar who has managed to study the system from both perspectives simultaneously.

From coordination devices to coordination failures: on the changing epistemology of sunspots since the 1970s

The widespread adoption of the rational expectations hypothesis in macroeconomic literature from the 1970s onwards has often overlooked the issue of coordinating individual decisions, particularly regarding expectations. How is common knowledge, essential for rational expectations equilibrium, established? When common knowledge supports multiple equilibria, how do expectations converge to a specific one? These pivotal questions have always been at the core of sunspot literature, which emerged at the turn of the 1980s, albeit sometimes implicitly. While unspots were initially regarded by pioneers David Cass and Karl Shell as essential coordination devices, their epistemological status evolved with the introduction of competing models in ndogenous fluctuations (chaos, bifurcations, deterministic cycles) and the transition from the overlapping generations to the infinitely lived agent framework. Ultimately identified as anticipation shocks, sunspots were portrayed as instability triggers and markers of coordination failures. However, recent advancements in sunspot theory, especially in the areas of financial crises and experimental economics, have started to rehabilitate the original interpretation of sunspots as coordination mechanisms. This article maps out the historical development, shedding light on the evolving concepts surrounding sunspots.

ANALYZING THE ROLE OF COMPUTER SCIENCE IN SHAPING MODERN ECONOMIC AND MANAGEMENT PRACTICES. BIBLIOMETRIC ANALYSIS

The application of computer science in management and economics is a rapidly growing field that combines the analytical and technological capabilities of computer science with the strategic and operational needs of management and economics. The main aim of this research paper is to analyze the main academic contributors, sources, and international collaborations from 2014 to 2022 in computer science in the areas of management and economics, as well as to analyze the main subtopics developed over time. Bibliometric techniques were used to carry out the literature review, which allows an objective analysis of the academic literature through quantitative indicators. The results reveal a significant shift towards data-driven decision making in management, with artificial intelligence and machine learning improving predictive analytics, operational efficiency, and economic forecasting and modeling, highlighting the essential role of digital transformation in these disciplines, with significant implications for researchers, practitioners and decision-makers. It concludes that all stakeholders should work to develop a more informed and innovative approach to maximize the exploitation of the potential offered by computational sciences in different contexts. This includes the integration of advanced computational tools to improve decision making and operational efficiency, or the exploitation of computational models for more effective forecasting and policy decision making, as well as the continuous analysis of emerging areas in this field, being aware of the ethical, privacy and security challenges presented by these technologies, in order to ensure a responsible and equitable application.

TRENDS OF CHANGES IN THE LABOR MARKET FOR GRADUATES OF IT SPECIALTIES AND EMPLOYMENT OPPORTUNITIES IN STACK 1C

Changes in the labor market are constantly occurring, and the IT specialist market is no exception. In this field, it is important to follow new trends in order to remain in demand as a specialist. In recent years, the demand for IT specialists has continued to grow, especially in the fields of software development, artificial intelligence, machine learning and cybersecurity. This opens up great opportunities for graduates of IT fields, especially in the light of universal digitalization and the transition to remote work. Currently, the market in the IT sector is striving for saturation, the offer of vacancies practically corresponds to demand. Employers are interested in mid- and high-level specialists. Applicants for IT professions require high salaries. For successful employment, you need to be a professional or go into scarce areas. The most in-demand and almost the only IT field where there is a shortage of specialists is 1C. The labor market in 1C is characterized by an excess of vacancies in relation to available resumes. A future specialist in this field should have skills in 1C programming, have knowledge in the subject areas of economics and continuously engage in their professional growth. Purpose – identification of trends in the labor market of IT specialties and employment prospects in the 1C stack. Methodology: the article used methods of analysis and synthesis of statistical information, methods of comparison and generalization. Results: the trend of increasing demand for 1C specialists in the labor market has been revealed. Practical implications it is advisable to apply the obtained results to enterprises, industries, municipalities, regions that monitor the labor market and the education system.