Economic Sectors Research Articles

Дуальное обучение как условие формирования экологической компетентности студентов в системе среднего профессионального образования

The system of secondary vocational training in Russia is undergoing significant changes regarding the quality of training of competent specialists who are able not only to carry out professional activities in modern socio-economic conditions, but also to successfully compete in those sectors of the national economy where they will work after graduation. As noted in the state program of the Russian Federation “Development of Education” until 2030, special attention is paid to the development of dual education and environmental education of students. In this regard, since 2014, dual (practice-oriented) training has been successfully implemented in secondary vocational education institutions in the country, within which students acquire basic theoretical knowledge in college classes and acquire practical skills at the enterprise. The purpose of the article is to study ways of developing students’ environmental competence in the system of secondary vocational education. Materials and research methods include an analytical review of scientific research related to the formation of environmental competence in dual learning conditions. The results of the study and their discussion are determined by the choice of approaches, technologies, methods, techniques and forms of work to develop students’ environmental competence. In conclusion, the results of the study are summarized.

How Do Immigration Policies Affect Voter Support for Low-Skilled Immigrants? Evidence from a Survey Experiment

Countries depend on both high- and low-skilled immigration to meet economic needs. But most voters prefer high-skilled immigrants, despite the fact that multiple economic sectors structurally depend on low-skilled immigrants. In this paper, we examine voter preferences toward low-skilled immigrants as one barrier to effective immigration policy, even in political regimes where immigration is the consequence of highly coordinated or “planned” policies. Specifically, we consider whether government communication around the benefits of low-skilled immigration can increase favorability of such policies. We are particularly interested in the ways in which government communicates immigration messages and whether the scope or concentration of the proposed benefits will move individual preferences. In an online survey experiment, we present Canadians ( N=2,023) with a policy brief that manipulates immigrant skill level (high vs. low), economic outcomes of migration (positive vs. mixed), and the geographic scope of benefits (concentrated vs. sociotropic). Employing two measures of policy support, we find some evidence that positive framing can increase overall support for low-skill migrants. We also find that manipulating framing around high-skilled workers has little effect on support for low-skill workers, even when that framing presents countervailing evidence as to the benefit of high-skilled labor. In sum, our findings suggest that elite level communication around the benefits of low-skill labor may have the ability to disrupt longstanding antipathy for low-skilled labor, even in regimes with longstanding support for high-skilled labor.

PUBLIC POLICIES AND THEIR IMPACT ON ECONOMIC DEVELOPMENT: A SYSTEMATIC REVIEW

Purpose: The aim of this paper is to identify the impact of public policies on economic development through a systematic review method. Theoretical Framework: The paper emphasizes the role of decentralization in allowing governments to implement efficient public policies that drive economic development, referencing Kitchenham’s guidelines for systematic literature review. Design/Methodology/Approach: The study employed a Systematic Literature Review (SLR) based on 55 selected studies. Data were extracted and synthesized to answer 8 research questions related to the impact of public policies on economic sectors and development. Findings: The review identified that public policies significantly impact economic development, particularly in the industry and environment sectors. Countries like China are leading in policy application for growth. Decentralization enhances policy effectiveness by allowing local adaptation. However, gaps remain in understanding the influence of public policies in less-explored sectors, highlighting the need for further research. Research, Practical & Social Implications: The study suggests that public policies play a critical role in shaping economic development, particularly in sectors like industry and environmental policy. Future research should focus on extending these findings to other sectors. Originality/Value: This research adds to the growing body of knowledge by synthesizing existing studies and identifying key sectors and metrics for evaluating the impact of public policies on economic development.

Artificial Intelligence in Agriculture: Application in Developing Countries

The economic sector is significantly impacted by agriculture. Artificial intelligence is being applied in agriculture to automate numerous tasks, reduce hazards, and provide farmers with a comparatively easy-to-use farming system but a revolution is taking place in the field of agriculture, utilizing artificial intelligence (AI) to solve major issues confronting the agricultural sector in developing nations. A focus on the impact and potential benefits of AI in developing nations is explored in this paper. The widespread adoption of AI in agriculture in developing countries has been confronted by challenges such as infrastructure deficits, high investment costs, and a lack of capacity building. Governments, policymakers, researchers, and technology providers must work together to ensure sustainable and inclusive deployment of AI technologies in agriculture. A critical examination of the state of agriculture in developing countries is the primary objective of this study, as well as the identification and mitigation of farmer challenges with the use of AI technologies. But a revolution is taking place in agriculture, utilizing artificial intelligence (AI) to solve major issues confronting the agricultural sector in developing nations.

SHIPBUILDING OF SOUTHERN UKRAINE: FROM STATE MONOPOLY TO CLUSTER INTEGRATION

The purpose of this article is to determine the prospects of Ukrainian shipbuilding, based on a review of its historical development. Methodology. In this study, the authors used a mix of methods for collecting, systematising and processing information. Primary data was collected through a review of thematic publications and research conducted by predecessors. Retrospective analysis was used to identify trends in the historical development of the shipbuilding sector of the domestic economy. Statistical analysis was used to determine its current state and foreseeable future. Results. Since Porter's introduction of the cluster theory, the Ukrainian shipbuilding business has failed to take advantage of the benefits it has offered. It has been reckless in building cluster potential as a tool for local economic development and community (hromada) management. While most shipbuilding and related enterprises are concentrated in the areas limited by the administrative boundaries of the country's Black Sea regions. Pessimists insist that the chances of success have been lost completely and irrevocably. The authors, on the other hand, based on a generalisation of current practice, observe the Phoenix effect. The authors illustrate it empirically. In particular, on the example of the Ukrainian Maritime Cluster (UMC). Practical implications. The first part of the article explores the former power of Ukrainian shipyards. The second part discusses the constructive initiatives of the modern shipbuilding business. The third part highlights the initiative to create the UMC. Value / Originality. This paper adds to the existing understanding and provides empirical evidence of the strong and untapped potential of the country's shipbuilding cluster. It also focuses on its attractiveness for cooperation with foreign investors after the onset of peace. The originality of this study lies in the holistic study of shipbuilding practice in the context of development. The authors are optimistic despite the war and the tragic consequences that accompany it.

Unveiling impact measurement: navigating the evolving landscape in France

Purpose This article aims to explore the growing adoption of social impact measurement (SIM) among French Social and Solidarity Economy Organizations (SSEOs) in the context of a global drive for accountability. It examines the evolution of SIM, its implications, risks and methodological challenges. Key themes include the transition from “social utility” to “social impact,” the emergence of an impact-driven market, and concerns about the limitations of standardized measurement models. The paper calls for a diverse approach to evaluation, aiming to preserve the unique identities of SSEOs and promote innovation. Design/methodology/approach This comprehensive literature review, covering both academic and grey literature, explores the evolution of SIM in French SSEOs. It focuses on regulatory frameworks, stakeholder engagement and methodological principles to provide a thorough understanding of the implications and potential risks. Findings The findings highlight a major shift in public policy instruments, driven by the growing adoption of SIM within French SSEOs. While SIM methods offer opportunities, they also pose risks, such as the commodification of social impact, the rise of isomorphic practices and an overemphasis on performativity. Research limitations/implications The research implications emphasize the need to recognize how SIM affects the organizational identity of SSEOs and to foster discussions on alternative evaluation methods. A limitation of the study is its focus on French SSEOs, which may limit the generalizability of the findings to other contexts within the broader social economy sector. Practical implications The article provides valuable insights for policymakers, SSEOs and stakeholders on the role of SIM in the French social economy. It advocates for critical evaluation and policy alignment to improve the sector’s overall effectiveness. Social implications The social implications involve gaining a deeper understanding of how SIM practices affect the identity and operations of French SSEOs. By emphasizing risks such as commodification and isomorphic trends, the article encourages reflection on the broader societal impacts. Originality/value The article’s originality stems from its thorough exploration of SIM’s evolution within French SSEOs. Its value lies in shedding light on the complex relationship between SIM adoption, organizational identity and societal values, thereby encouraging informed decision-making and deeper discourse within the SSEOs landscape.

Financial Framework for Non-Resource Exports to Foster the Dynamic Growth of the Russian Economy

The relevance of the article is rooted in the critical role of the non-resource sector in the Russian economy, particularly in the face of increasing sanctions.The purpose of the article is to propose a comprehensive framework for financial assistance to non-resource exports, fostering the sustained growth of the Russian economy in the current context.Methods: the research methodology is based on general and special methods of cognition; analysis of reports of international organizations, official databases of statistical data, normative documents, monographs and scientific publications.Scientific novelty: Drawing on the analysis of successful international approaches, we have developed a holistic framework for financial assistance to non-traditional exports in Russia. This framework is designed to complement the national project “International Cooperation and Export”, which is focused on implementing the Strategy for the Development of Foreign Economic Activity of the Russian Federation until 2030.Research results: The article explores the global experience of comprehensive export support systems and suggests financial measures to help Russian manufacturers of industrial products.Practical significance of the article lies in the fact that the financial instruments developed for non-primary non-energy exports can be used in the implementation of the Federal National Project “International Cooperation and Export”.

Economic Impact of Droughts in Southern Brazil, a Duration Analysis

Hydrometeorological hazards are currently a cause for great concern worldwide. Droughts are among the most recurrent events, causing significant losses. This article presents a study on the duration of droughts in the southernmost state of Brazil, which has a large agricultural sector and experiences frequent drought events. The approach focuses on the economic recovery time of municipalities affected by the drought in 2020, 2022 and 2023, using the total value of invoices issued within each municipality between companies and from companies to consumers. The Kaplan–Meier estimator and Cox regression models are applied, incorporating covariates such as the size of the municipality, geographic location, and primary economic activity sector. The results show that the longest recovery period is concentrated in small cities, particularly in those where agriculture or livestock is the primary economic activity. The greatest resilience is observed in cities within the metropolitan region, where economic activity is more concentrated in services and industry and where populations are generally larger. The study identifies that after each drought event, at least 75% of municipalities achieve economic recovery within 3 months. These findings support better planning for both drought prevention and impact reduction and they are relevant for the development of economic and social policies.

Analisis Strategi Pengembangan Kemandirian Ekonomi Pesantren dalam Menunjang Ekosistem Halal di Kabupaten Bangkalan

Pesantren as a traditional Islamic educational institution has a significant role in the life of Indonesian society, especially in areas where the majority of the population is Muslim, such as in Bangkalan Regency, Madura. Because over time, apart from being an educational institution, pesantren also have an important role in the social and religious life of the community, not only focusing on religious education, but also starting to play a role in the economic sector, especially in developing the economic independence of pesantren which is expected to support the halal ecosystem. The main objective of this study is to find out the strategies of pesantren in increasing economic independence as well as its impact on the halal ecosystem. This study also provides recommendations regarding the development of collaboration with various parties to optimize the potential of the halal ecosystem in Madura. In this study, researchers used a descriptive qualitative approach. Researchers will examine in depth the Al Falah Kepang Islamic Boarding School in Bangkalan Regency which is active in developing an independent economy. Data will be collected through in-depth interviews, observation, and documentation. This approach was chosen to comprehensively explore the strategies implemented by pesantren that influence the development of the halal ecosystem.

Portuguese version of the citizenship fatigue scale: adaptation and evidence of validity.

Citizenship fatigue has been identified as a negative consequence of performing organizational citizenship behaviors and has been studied due to its undesirable effects on employees and organizations. This article aims to present the results of adapting the citizenship fatigue scale to Portuguese language and to provide evidence of its validity. The research methodology involved multiple stages. Initially, the Citizenship Fatigue Scale was translated into Portuguese using a robust back-translation process involving three bilingual translators to ensure semantic accuracy. Subsequently, for psychometric testing, the Citizenship Fatigue Scale and Compulsory Citizenship Behavior Scale were administered to a sample of 406 employees from different economic sectors (103 male; 303 female), aged 18 to 70 years. Reliability and validity indicators were calculated from the CFA structure, employing the maximum likelihood estimation with bootstrapping. Gender invariance was examined at three different levels: [1] configural invariance [2], factor loading invariance and [3] factor loading and intercept invariance. The internal consistency, of the whole scale, measured by Cronbach's alpha, was 0.94. The composite reliability value was also very satisfactory (CF = 0.94). The variance extracted from mean (AVE) value of 0.79 was higher than the required limit of 0.50, indicating an adequate fit of the model. The confirmatory analysis supported a single-factor model and showed good to very good fit indexes (CFI = 1.00; GFI = 0.99; RMSEA ≤ 0.01). The model was successfully replicated with a male and female sample. The results confirm that the Portuguese version of the Citizenship Fatigue Scale is a reliable instrument for research with Portuguese speaking samples and international research.

Közép-európai gyógyszergyártó vállalatok forgótőke helyzetének elemzése

The pharmaceutical industry has huge market potential and investment opportunities, while pharmaceutical players also face a number of challenges, such as regulating the production and pricing of active pharmaceutical ingredients, protecting intellectual property and competing with other players. As a key sector of the Hungarian economy, the industry generates a significant share of GDP and has grown dynamically in recent years, the aim of our study is to compare the activities of Hungarian industry players with sectoral companies in other Visegrad countries, and thus to examine the similarities and differences in the liquidity management of the pharmaceutical industries in these countries. The analysis was based on the annual accounts of regional pharmaceutical companies for the period 2018-2022, extracted from the EMIS database. The period covered included several globally significant events, and therefore our research also examined the impact of the coronavirus epidemic and the war in Ukraine on pharmaceutical companies and whether there were differences between the Central European countries. Overall, sectoral players in each of the region's countries were able to keep their indebtedness under control and, although Hungarian companies were able to manage the largest assets, by the end of the period the working capital efficiency of Polish companies was better than their regional competitors overall.

Tackling soil erosion and contamination within the SDGs framework: a case study of the Erdenet copper-molybdenum mine

AbstractMining operations in Mongolia have contributed significantly to national economic growth. However, the lack of adequate mine land rehabilitation practices has resulted in various forms of land degradation, including land cover change, soil erosion and contamination with heavy metals and metalloids. These issues have negatively affected ecosystems and posed potential risks to human health due to the interconnected relationships between land, water and human activities. This study focuses on the copper-molybdenum mining site of Erdenet, the oldest and one of the largest copper mines in Mongolia, to investigate the main drivers of soil degradation and evaluate effective rehabilitation strategies. By combining findings from our previous studies on soil erosion and contamination in the Erdenet area with a review of existing research, we assess key rehabilitation priorities. Taking a Nexus approach, this study explores the interconnections between environmental, economic and social sectors, emphasizing the importance of balancing mining activities with sustainable land management. The previous studies suggest that for the next 10–15 years, priorities should focus on tailings storage facility rehabilitation and soil contamination remediation, while longer-term goals include developing sustainable environmental management strategies that foster cooperation between mining corporations and local communities, enforce regulations and improve monitoring in the Erdenet mining area. The study aligns these priorities with the Sustainable Development Goals, offering science-based recommendations for managing soil erosion and reducing contamination.

Assessing social risks in Greek and Dutch economies: A product social impact life cycle assessment approach

Abstract Purpose Input–output tables describe monetary relationships between producers and consumers within an economy and have been used to assess the effects on job creation and gross domestic product (GDP). The objective of this study was to apply the social life cycle assessment (S-LCA) to assess direct social risks in national economies and explore whether S-LCA can replace or support beyond-GDP metrics. Methods S-LCA was applied in three ways. First, a hotspot assessment was conducted using the Product Social Impact Life Cycle Assessment (PSILCA) database to assess the direct social risks of monetary outputs of the Dutch and Greek economies in 2018. Classification 1 regarded the comparison of the Dutch and Greek economies based on direct social risks classified as Sustainable Development Goals (SDGs). Classification 2 grouped the calculated social risks into sub-sub-topics of the European Corporate Sustainability Reporting Standards (CSRS) directive. In each classification, the calculated risks were normalized by the total monetary output of the national economy. Results and discussion This study showed that the Dutch economy results in lower normalized risk values for all S-LCA stakeholders and impact subcategories, except for “Respect of indigenous rights” and “Health and safety (Workers).” The main contributing parameters were sectorial monetary output and the risk levels of the indicators. Classification 1 showed that using input–output tables and PSILCA to simplify the calculation of SDGs was partially successful, because the SDGs also consider environmental aspects and PSILCA is limited to social aspects. Classification 2 showed that the Greek economy resulted in higher normalized risk values than the Dutch economy for almost all sub-sub-topics of the CSRS. Conclusions The results indicate that input–output tables can be extended to incorporate social dimensions with S-LCA and PSILCA. However, the nature of the SDGs means that S-LCA is not capable of simplifying the evaluation of countries’ societal progress, but S-LCA combined with PSILCA can assist national governments in taking targeted actions to reach SDG targets and enforce European CSRS directive compliance in the most impactful economic sectors for social performance monitoring and reporting.

Product lifecycle management as a sustainable approach within the Moroccan social and solidarity economy sector

Product lifecycle management as a sustainable approach within the Moroccan social and solidarity economy sector

Coal structure evaluation and morphological properties that affect the coal usage in industries

AbstractThe contemporary research article is central to understanding coal structure evaluation and the morphological development impacting its utilization in different applications. Through Mineral Liberation Analysis (MLA) designs high content phyllosilicates minerals and swelling clay minerals were rationalized to provides a novel insight into enhanced coal beneficiation and the benefits of coal by-product re-utilization progressions that encourage safer environments and economic sustainability. This work commences with collection of five (5) different coal samples from the central district region in Botswana, sample characterization deploying Thermogravimetric coal analysis (TGA), x-ray fluorescence spectroscopy (XRF), x-ray diffraction (XRD), scanning electron microscopy (SEM) and the Hardgrove Grindability Index (HGI) test that was directed to quantification of the coal hardness and fracture toughness during milling. The cumulative objective was to understand the correlation that exists between the natural composition of the coal sample and their adaptation and application in various carbonaceous products. A solid connection was thus identified in the sulfur and phosphorus weight percentage inclusions in all the coal materials hence higher significance in sphalerite mineral phases (Zn, Fe) S critically increased the fracture toughness and hardness properties. Moreover, mineral amalgams intrinsic to the coal maceral such as aluminum oxides (Al2O3), silicate (SiO2), calcites (CaO), Iron oxide (Fe2O3), potassium feldspars (K − AlSi3O8), albite (Na − AlSi3O8), and anorthite (Ca − Al2Si2O8) compounds in alkali feldspars were detected in larger quantities. The coal industry has attracted much industrial attention to manufacturing foundations producing cement, ceramic tiles, paving bricks, and material synthesis and will continue to supply other economic sectors in the conceivable future. Graphical Abstract

UNDER THE LOAN: AN ANALYSIS OF ARMENIAN BANKING SECTOR AND CREDIT TRENDS

This study examines recent trends in Armenia's banking sector and export patterns, revealing underlying economic vulnerabilities despite apparent growth. Using data from the Central Bank of Armenia and official trade statistics, this paper analyzes shifts in lending patterns across various economic sectors and changes in export composition. Our findings indicate a concerning decline in industrial sector lending, coupled with a significant increase in mortgage and consumer loans. Additionally, we observe a heavy reliance on precious metal re-exports for economic growth, raising questions about the sustainability of Armenia's current economic trajectory. This research contributes to the understanding of potential risks in Armenia's financial system and highlights the need for diversification in its export base.

Sizing large-scale industrial heat pump for heat recovery from treated municipal sewage in coal-fired district heating system

Electrification of district heating and deep integration of sectors of national economies are fundamental elements of the future smart energy systems. This paper discusses the problem of optimal sizing of large-scale high-temperature heat pumps using treated sewage water as a heat source in a coal-fired district heating system. The study presents an approach to modelling of heat pump system that enables techno-economic analysis for investment decision making. Such analysis is enabled by a black-box-type identification model of the selected industrial heat pump. The model was developed based on the data generated by physical modelling of the heat pump using Ebsilon Professional software. In addition, it is proposed that the heat pump system is integrated with a dedicated photovoltaic power plant. The case study takes into consideration site-specific technical, economic, ecological, and legal constraints, weather conditions, hydraulic performance of the heat-ing network, and variability of loads within the sewage and the district heating systems. The results revealed that the proposed modelling approach is effective regarding multiple simulations and system optimisation. In addition, it was found that large-scale heat pump projects can be technically feasible and profitable if the heat pump is appropriately sized and operated. In the given case, the optimum size of the heat pump for a city of around 180 000 inhabitants is around 12 MW under maximum winter load.

An intelligent agriculture monitoring framework for leaf disease detection using YOLOv7

Agriculture is one of the most important economic sectors on which societies have relied since ancient times. With the recent development of technology, agriculture has also been incorporating modern techniques such as the Internet of Things and Artificial Intelligence to improve productivity and monitor the farming process. One of agriculture’s most prominent issues is the spread of plant diseases and the lack of real-time monitoring. Various systems and operations have recently been developed to predict and diagnose plant diseases. However, current operations have been selective, focusing on a specific aspect without addressing other important aspects, resulting in either partial or compound application of results, rendering the desired outcomes ineffective. To deal with such challenges, we propose an intelligent framework for real-time agriculture monitoring and disease detection, namely a system for monitoring plant diseases using YOLOv7. In the proposed framework, a rule-based policy has been designed for detecting plant diseases using online plant leaf monitoring, sensors, and surveillance cameras. Images of plant leaves captured by different cameras are sent in real-time to central cloud servers for disease detection. The improved YOLOv7 technology is utilized for plant disease detection, and the proposed system has been evaluated using a dataset of diseased tomato leaves, comparing it with different models based on various performance metrics to demonstrate its effectiveness, achieving an accuracy of 96%.

The impact of innovation and differentiation strategy on financial performance with emphasis on the role of risk management and intellectual capital

Purpose The purpose of this study is to investigate the impact of innovation and differentiation strategy on financial performance with a focus on the role of risk management and intellectual capital of companies listed on the Tehran Stock Exchange. Design/methodology/approach In this research, differentiation and innovation strategy criteria are the independent variables, performance criteria are the dependent variables and risk management effectiveness and intellectual capital are the moderating variables. The statistical population of this research includes all the companies listed in the Tehran Stock Exchange during the 10-year period, and 127 companies were selected as a statistical sample using the systematic elimination method. The research model fitting and hypothesis testing were carried out using structural equation modeling and SPSS, Smart PLS software. Findings The results of the hypothesis testing showed a positive and significant relationship between the innovation and differentiation strategy and the firm performance. In addition, effective management of risk and intellectual capital also had a significant and positive impact on this relationship. Research limitations/implications Given that this research was conducted at the Tehran Stock Exchange, it was difficult for the researchers to collect data. Also, since the Tehran Stock Exchange is a new market, a lot of research needs to be done in different areas of this market to identify the existing problems and shortcomings and to provide reasons for its growth and development. Practical implications According to the results of the research on the impact of intellectual capital and risk management on corporate performance and the impact of strategy on this relationship, this paper can expect to see an improvement in corporate performance and an increase in shareholder wealth as a result of applying the results of this research. Social implications Considering that corporate strategy, intellectual capital criteria and risk management to increase the financial performance of companies have informational content; therefore, according to the results of this research, an increase in the performance of listed companies is expected, and naturally, this increase in performance will lead to the prosperity of the economic sector, increase in job creation and as a result, improve the quality of social life. Originality/value In the Tehran Stock Exchange, by properly evaluating the financial performance criteria of companies and identifying the factors that increase intellectual capital and risk management, they provide the means to improve knowledge in this area of research.

Digital economy, technology, and urban carbon emissions nexus: an investigation using the threshold effects and mediation effects tests

IntroductionThis study aims to explore the mechanisms by which the digital economy influences urban carbon emissions in China, with a particular focus on potential threshold effects and the mediating role of technology. As the digital economy grows, it impacts various environmental metrics, including carbon emissions, necessitating a deeper understanding of its nonlinear dynamics and implications for sustainable urban development.MethodsUsing panel data from 286 prefecture-level cities in China spanning from 2012 to 2021, we apply threshold effect models and mediation effect tests. The threshold effect model is employed to investigate non-linear characteristics of the digital economy’s impact on carbon emissions, while the mediation effect model assesses the role of technology as an intermediary in this relationship.ResultsThe threshold effect model reveals a single threshold in the impact of the digital economy on urban carbon emissions, indicating a nonlinear relationship. Initially, the influence of the digital economy on emissions is weak, but as the digital economy develops, its effect becomes more pronounced. The mediation effect model demonstrates that technological advancement can offset the increase in emissions associated with digital economic growth, thus showcasing technology’s potential to mitigate environmental impacts.DiscussionThe findings suggest that while the digital economy generally promotes urban carbon emissions, its impact is non-linear and mitigatable through technological innovation. To curb emissions in urban areas, fostering technological innovation and supporting green technology research and development are critical. Moreover, enhancing management and supervision within the digital economy sector can contribute to balancing economic growth with environmental goals. These insights are valuable for policymakers striving to harmonize digital economic expansion with sustainable environmental practices.