Economic Conditions Research Articles

Analysis of the influencing factors of left-behind children's mental health based on python program--Anhui Province as an example

With the rapid development of social economy, the number of farmers going to the cities to work has increased, leading to the problem of left-behind children in rural areas. Left-behind children face physical and mental health challenges due to the lack of parental accompaniment. The state has introduced policies to improve their environment, but uneven educational resources, psychological problems and lagging rural development remain to be solved. Based on the data of left-behind children in Anhui Province during the seven-year period of 2016-2022, this paper collates relevant literature and then empirically analyses the factors affecting the number of left-behind children and their mental health by means of multiple linear regression models. The study shows that the number of left-behind children has a strong negative correlation with economic growth and education problems, which means that improving the economic and educational conditions may help reduce the number of left-behind children, while the family environment and campus environment have a significant positive effect on the mental health of left-behind children. Finally, on the basis of the empirical findings, policy initiatives such as promoting economic growth and employment opportunities, improving the distribution of educational resources, strengthening family care and companionship, optimising the campus environment and teacher-student relationship, and establishing a peer support mechanism and are proposed in the hope of creating a better environment for left-behind children to grow up, and then promoting their psychological health development.

“Loneliness of Catalonia”: Separatism in Catalan-speaking Regions in Spain in 21st Century

The article analyzes the historical, ethno-social, economic, and political reasons for the formation of separatist tendencies in regions where the Catalan language is spoken in Spain: Catalonia, Valencia, and the Balearic Islands. It is commonly believed that these regions share many similarities, yet in practice only Catalonia seeks independence. The study investigates why separatist tendencies are prominently displayed in only one of the Catalan-speaking regions. The research is based on historical facts, scholarly works dedicated to separatism in Catalan-speaking regions, statistical data on the economies of the regions and election results, and news reports. The conclusion drawn from the study is that the Catalan-speaking regions have many distinct characteristics: they have different histories tied to their past status as regions; different self-perceptions within Spain and globally, varying economic conditions, and consequently different political tendencies. It is proven that due to historical, ethno-social, economic, and political reasons, Valencia and the Balearic Islands have no intention of separating from Spain, leaving Catalonia alone in its quest for independence.

COMPUTER EDUCATION REFORM IN TAIWAN

This article discusses the evolution of computer education curricula in primary and high schools worldwide, highlighting the significance of adapting to the rapid advancements in information technology. It addresses the varying perspectives on the content and timing of computer courses and analyzes literature on pre-university computer curricula across different countries. These differences reflect the unique societal and economic conditions of each country. Taiwan's computer education reform, initiated in 2019 with the 12-Year Curriculum Guidelines, is explained. The reform significantly emphasizes computational thinking, a recent shift in curriculum orientation incorporating problem-solving skills to address real-world issues. The discussion also notes the difficulties in promoting new computer curricula, emphasizing the need to understand these challenges to prevent potential conflicts. Key words: ICT in education, computer science education, computational thinking, computer education reform.

How social and economic conditions impact socioeconomic mobility. The case of Spain

We rely on Permanent Income to define a socioeconomic stratification system based on a latent trait measurement model using objective and widely available socioeconomic variables as reflective indicators, with an official panel of households spanning 2006–2020 in Spain. We obtain an objective and transparent stratification of Spanish society for these 15 years, and track social mobility at the household level between consecutive years that included economic expansion, a major recession, economic recovery and a major pandemic.We have quantified social mobility (greater in the extreme strata) in each of the periods of growth, crisis and economic recovery. Crisis derived from COVID-19 has been more drastic and has affected more the consumption of households under 65 years of age or with few members. In Spain, measures adopted against the effects of the COVID crisis have generated less inequality than those adopted during the Big Recession of 2008.

Pengaruh Motivasi Karir, Dorongan Finansial, Persepsi Mengenai Biaya Pendidikan Terhadap Minat Mahasiswa Mengikuti Pendidikan Profesi Guru

This research aims to find out how career motivation, financial encouragement, and perceptions regarding educational costs influence Accounting Education students' interest in participating in Teacher Professional Education. This research uses a quantitative research design using primary data sources taken directly by researchers with a Likert scale questionnaire. A purposive sampling technique was chosen to be used in this research and 98 students majoring in Accounting Education class of 2017 at Surabaya State University were the sample. The multiple regression analysis method was used to analyze the data obtained. The research results show that; (1) Career motivation has a significant effect on students' interest in participating in PPG, high career motivation will encourage students to improve their abilities so they can achieve higher careers and positions, one of which is by obtaining teacher certification. (2) Financial encouragement has a significant effect on students' interest in participating in PPG, the higher the student's financial encouragement, the higher their interest in participating in PPG. (3) Perceptions regarding education costs do not influence students' interest in participating in PPG, different economic conditions are not always directly proportional to students' interest in participating in PPG. (4) Career motivation, financial encouragement, student perceptions regarding educational costs can simultaneously influence students' interest in pursuing professional teacher education.

Implementation of the «Two-Pillar Solution» prospects in the international taxation system

The world economy has undergone a rapid digital transformation, which has caused critical discussions about the effectiveness of existing international tax systems. Traditional norms and rules are proving insufficient to solve the dynamic challenges associated with the development of the digital economy, where new sources of value creation and innovative business models challenge the established norms of profit distribution and relationships. At the same time, intangible sources of value creation contribute to tax avoidance by transnational corporations. Base Erosion and Profit Shifting (BEPS) rules are becoming a key initiative to counter these challenges. The article identifies the difficulties in reforming the modern international tax system, emphasizing the need for constant dialogue, cooperation, and adaptation to changing economic conditions. A two-step solution is an important tool in the fight against aggressive tax planning. Current discussions highlight the complex nature of the impact of the digital economy on international tax rules. Effective monitoring of the implementation and impact of the two-step solution is critical to areas for improvement, with international cooperation through the OECD playing a central role in this reform process. The BEPS rules are seen as a critical solution in the evolution of international tax policy in overcoming the challenges associated with the digital economy. The success of the implementation of the two-step solution initiative depends on effective cooperation between countries, in particular in the context of agreements on the avoidance of double taxation. The internal adaptability of this tool has the potential to improve the efficiency of the international tax system, as it directly addresses the challenges and conditions of the digital economy.

Crude Oil Prices Forecast Based on Mixed-Frequency Deep Learning Approach and Intelligent Optimization Algorithm

Precisely forecasting the price of crude oil is challenging due to its fundamental properties of nonlinearity, volatility, and stochasticity. This paper introduces a novel hybrid model, namely, the KV-MFSCBA-G model, within the decomposition–integration paradigm. It combines the mixed-frequency convolutional neural network–bidirectional long short-term memory network-attention mechanism (MFCBA) and generalized autoregressive conditional heteroskedasticity (GARCH) models. The MFCBA and GARCH models are employed to respectively forecast the low-frequency and high-frequency components decomposed through variational mode decomposition optimized by Kullback–Leibler divergence (KL-VMD). The classification of these components is performed using the fuzzy entropy (FE) algorithm. Therefore, this model can fully exploit the advantages of deep learning networks in fitting nonlinearities and traditional econometric models in capturing volatilities. Furthermore, the intelligent optimization algorithm and the low-frequency economic variable are introduced to improve forecasting performance. Specifically, the sparrow search algorithm (SSA) is employed to determine the optimal parameter combination of the MFCBA model, which is incorporated with monthly global economic conditions (GECON) data. The empirical findings of West Texas Intermediate (WTI) and Brent crude oil indicate that the proposed approach outperforms other models in evaluation indicators and statistical tests and has good robustness. This model can assist investors and market regulators in making decisions.

Local Economic Conditions Affect Aedes albopictus Management.

Invasive mosquitoes are an emerging public health issue, as many species are competent vectors for pathogens. We assessed how multiple environmental and socio-economic factors affected the engagement of municipalities in Italy (n = 7679) in actions against Aedes albopictus, an invasive mosquito affecting human health and well-being, between 2000 and 2020. We collected information about mosquito control from official documents and municipal websites and modeled the role played by multiple environmental and socioeconomic factors characterizing each municipality through the random forest algorithm. Municipalities are more prone to manage A. albopictus if more urbanized, in lowlands and with long infestation periods. Moreover, these variables are more predictive of management in municipalities with a high median income and thus more economic resources. Only 25.5% of Italian municipalities approved regulations for managing A. albopictus, and very few of them were in Southern Italy, the most deprived area of the country. Our findings indicate that local economic conditions moderate the effect of other drivers of mosquito control and ultimately can lead to better management of A. albopictus. If the management of invasive mosquitoes, or other forms of global change, is subjected to local economic conditions, economic inequalities will jeopardize the success of large-scale policies, also raising issues of environmental and climate justice.

The Elusive Gains from Nationally Oriented Monetary Policy

Abstract The gains from monetary policy cooperation depend on real and financial distortions in the economy and evolve dynamically with prevailing economic conditions. We show that, with international trade in assets, these gains are driven by asymmetric cross-border developments in productivity and savings, and can reach multiples of the cost of economic fluctuations. When financial flows are restricted to non-state-contingent bonds, the gains from cooperation grow with the size of global imbalances, i.e., net-foreign-asset positions.

Decoding financial performance of US-listed entities: A sectoral exploration of input efficiency amid stochastic volatility

This study explores the complex relationship between firm efficiency and stochastic volatility, focusing on how firms utilise inputs to generate sales and the impact of financial shocks on efficiency levels. Utilising a dataset of 476 U.S. firms across 23 sectors from 2010 to 2022, it integrates stochastic volatility into efficiency analysis, treating volatility as an evolving, unobserved process diverging from traditional methods. The research classifies sectors into various efficiency performance categories based on their response to economic fluctuations. Findings show divergent patterns across sectors, with some exhibiting consistent efficiency and others facing erratic performance due to market and technological changes. This analysis provides valuable insights into sectoral adaptability and resilience in fluctuating economic conditions, offering strategic implications for managers and policymakers.

The relationship between foreign direct investment and financial inclusion in MENA countries: Evidence from the General Method of Moments

The study delves into the nuanced interaction between foreign direct investment (FDI) and financial inclusion in the MENA region, spanning the years 2003 to 2022 and employing the General Method of Moments for rigorous analysis. Its primary objectives are to elucidate how financial inclusion influences FDI and to examine the mediating role of economic growth and inflation as key factors. Key findings reveal a robust positive correlation between financial inclusion and FDI inflows within MENA countries. Specifically, the study uncovers significant relationships between FDI and the various dimensions of financial inclusion, including access, availability, and usage. This underscores the pivotal role of inclusive financial systems in attracting foreign investment. Moreover, the study highlights the symbiotic relationship between economic growth and FDI, indicating that heightened levels of economic prosperity attract greater investment. This underscores the importance of fostering conducive economic conditions to attract foreign capital. Furthermore, the study underscores the critical role of financial inclusion in shaping monetary policy and mitigating investment risks. By facilitating access to capital and reducing uncertainty, financial inclusion promotes transparency and stability, thereby enhancing the attractiveness of foreign markets for investment.

Over 25 Years of Hope: Development of Lymphatic Filariasis Patient Support Groups in Haiti.

Support groups can create environments that are conducive to healing and well-being, particularly for persons with stigmatizing chronic diseases. In 1998, the support group concept was adapted in Haiti for persons with disabling lymphedema caused by lymphatic filariasis (LF). The project was developed with the expectation that the support group model conceived in the developed world be interpreted and modified by persons affected with lymphedema in the Haitian setting. Initiated with modest financial support within a research initiative to eliminate LF, a total of 50 "Hope Clubs" were formed from 1998 to 2023 across seven communes (districts) located in 3 of Haiti's 10 regional Departments. Documented benefits of the support groups included improved limb self-care, decreased incidence of inflammatory episodes (adenolymphangitis), enhanced self-efficacy, economic benefit through microenterprise, and improved quality of life. Despite challenges of funding shortfalls, natural disasters, and political insecurity, persistence of LF support groups in Haiti highlights the crucial role of group ownership by affected persons and the freedom to reinvent the support group concept in light of local social, cultural, and economic conditions.

Analisis Potensi Equator Park Dalam Meningkatkan Kesejahteraan Masyarakat Di Desa Jeruju Besar

Equator Park Jeruju Besar is a new educational tourist attraction located in Kubu Raya Regency, West Kalimantan. This location is located in Karya Bhakti Hamlet, Jeruju Besar Village, Sungai Kakap District, which has great potential in introducing the outside world to tourism, especially about mangrove and mangrove tourism. This area has been established for two years and is still being developed for mangrove and mangrove tourism. The development potential of this place is very large because of its strategic location and not far from the city center. Apart from improving tourism facilities in the Kubu Raya area, improving and improving the quality of existing tourist destinations is also important because this will have an impact on improving the standard of living of the local community. Ecotourism is an environmentally friendly tourism concept that can minimize adverse impacts on the natural, social, cultural and livelihoods of local communities. The concepts of village tourism and ecotourism have similarities in terms of preservation, consolidation and community involvement for the sake of long-term tourism expansion. The Equator Park area in Jeruju Besar Village improves the economic, social and cultural conditions around this tourist community area. The development of the Equator Park area in Jeruju Besar Village was developed with community participation, as an effort to empower and increase human potential, especially young people. The plan to expand the Jeruju Equatorial Park area is in collaboration with Karang Taruna to build paths, gazebos and gates in the Jeruju Equatorial Park area. This area has superior potential for development, such as culinary tourism, historical tourism and accommodation. Tourism potential in Jeruju Besar Village must be developed in a way that is environmentally, socially, culturally and friendly to the lives of local communities. The development of the Equator Park area in Jeruju Besar Village will be one of the choices for tourists visiting Kubu Raya Regency. This research aims to analyze the regional potential of Equator Park Tourism in Jeruju Besar Village, Sungai Kakap District, Kubu Raya Regency, West Kalimantan Province. The method used in this research is a qualitative approach involving field surveys, in-depth interviews, observations and document analysis. Focusing on aspects such as tourist attraction, infrastructure, accessibility and local economic potential, this research groups the factors that influence the development and marketing of these tourist destinations. The results of the analysis provide insight into the potential and challenges faced by Equator Park Jeruju Besar as well as recommendations for increasing the use of tourism potential to support local economic development.

Использование базовых положений школы обучения Ч. Линдблома в интересах развития системы образования с учетом вызовов ХХI века

The relevance of the presented research lies in the fact that, on the one hand, modern scientific and technological trends and geopolitical and economic conditions of development differ significantly from previous stages of development. On the other hand, given that economic development is carried out in a spiral, it is of interest to consider the experience of using management tools used in the previous round of technological development in the crisis phase of the 1970s, similar to the current crisis phase of socio-economic development of the 2020s. The purpose of the presented research is to consider the possibilities of using the provisions of the C. Lindblom school of education in the interests of the modern development of the education system, taking into account the challenges of the 21st century. The main result of the research is the formulation, based on the provisions of Ch. Linblom’s school of education, of proposals for the development of the national education system taking into account the challenges of the 21st century. The practical significance of the results obtained lies in the possibility of their use in training personnel, including managers and specialists in the system of additional professional education.

Methodology for forming a digital farming management system

The paper presents methodological approaches for the creation of a digital farming management system (DFMS). A convergent approach, based on cognitive (conceptual) analysis methods, is employed in the research and applied to the formation of adaptive landscape farming systems. The fundamental principles of organizing DFMS include crop and environmental monitoring (in situ, remote sensing); the formation of farming system archetypes based on the analysis of long-term field experiments; spatial object modeling and land typology using GIS; planning and support for agrotechnologies to adapt to natural and economic conditions; modeling ecosystem services and biodiversity; assessing the impact on the sustainability and economics of crop production. The system is implemented using geoinformation models in a specific geographic coordinate. DFMS involves conducting a "inventory" of natural and production resources, as well as identifying limits of climatic, soil, and agrolandscape parameters at different levels of land use intensity. At each stage of organizing system blocks, methods of intelligent data analysis and machine learning are used, with the core of the system relying on the use of knowledge bases and logical rules of the subject area. A key element of the system is the scaling of the results of long-term field experiments and accumulated knowledge in different management areas based on the parameterization of the multi-level variability of farming systems and the formation of their archetypes. The practical implementation of the main provisions of DFMS allows approaching the solution of key issues related to reducing the level of uncertainty and associated risks in agriculture. This is achieved through scientifically justified organization of rational land use, increasing the resilience of crop production in different land use conditions, and providing information support to rural producers.

Managing energy consumption by adapted energy performance contracting modes in rural China

Energy performance contracting (EPC) as a market instrument has been effective in promoting energy efficiency worldwide, but it has encountered many insurmountable obstacles in rural energy management. In this study, based on the characteristics of energy management in rural areas, three EPC modes are designed and tested in 24,000 rural households. The test results show that two adapted EPC modes of local government involvement and energy payment directly from the national grid can effectively overcome the barriers encountered in the traditional EPC modes and work well under the economic and social environmental conditions in rural areas. The key to the adaptation of the traditional EPC modes is the introduction of the local government as the third party. Participation of the third party can effectively reduce and remove the barriers and risks and increase the mutual trust between the clients (households) and the energy service companies (ESCOs). Based on the testing results, this study suggests that governmental departments should formulate relevant EPC policies and technical guidelines within the rural context. This research recommends that farmers should not manage their energy services by themselves and it is suggested to out-contracting ESCOs by applying the modes developed and tested by this paper.

Risks of Unemployment in the Future for Workers as India's Labour Sectors Embrace Automation, Robots, and Artificial Intelligence

This article examines the immediate concerns of unemployment that workers in India face due to implementation of automation, robotics, and artificial intelligence (AI) become more prevalent in the labour sectors. The swift progress of technology poses a danger to conventional manual labour positions, resulting in a large scale loss of jobs and unstable economic conditions. The impacts of automation are most likely to affect marginalized communities, aggravating already existing disparities. To lessen(minimalize/reduce) the negative impacts of mass unemployment, industry stakeholders, governments, and civil society must adopt proactive steps. These are necessary because of the social and political implications of this issue. India's workforce may move towards a more sustainable and fair future by supporting inclusive economic development, encouraging entrepreneurship, and investing in vocational training.

Fracking, farmers, and rural electrification in India

The shale gas revolution in the United States induced an unprecedented commodity boom across northwestern India. Leveraging population-based discontinuities in the contemporaneous roll-out of India’s national rural electrification scheme, we show that access to electricity increased total employment and non-agricultural employment in villages affected by this exogenous economic shock, but had no impact on labor markets elsewhere. This combination of two natural experiments highlights how complementary economic conditions drive heterogeneity in the labor-market impacts of rural electrification. It also helps explain the large variation in the reported impacts of such resource-intensive infrastructure investments globally.

Spatial and emotional distances in parent-child relationships: Impacts on human capital development in rural Chinese boarding children

BackgroundThe policy of merging remote rural elementary schools into centralized villages has led to the emergence of boarding schools as an essential means of providing compulsory education in rural areas of China. As boarding children reside in schools for extended periods, parents' influence on their human capital development is inevitably specificity. The development of rural boarding children is a serious social issue in China, and parent–child distance plays a crucial role in affecting the development of children's human capital. ObjectiveWhile previous studies have focused on the relationship between parental absence and the development of human capital in rural boarding children, this study examines the effects of both spatial and emotional distance between parents and children on the human capital of rural boarding children. Participants and settingA stratified, multi-stage probabilities proportional to size (PPS) sampling method was used, and self-report questionnaires were completed by 2397 rural boarding children (54.2 % males; ages 12 to 18, M = 14.66, SD = 1.30). MethodsChildren's background, family, and school and teacher characteristics were used as control variables. An OLS regression model was used to assess the effects of parent–child spatial and emotional distance on the human capital of rural boarding children, and a CMP–OLS regression model was used to address endogeneity using parents' self-assessed family economic conditions as instrumental variables. ResultsParent–child spatial distance had a significant positive effect (p < 0.05, p < 0.05), and emotional distance had a significant negative effect (p < 0.05, p < 0.01) on the cognitive and non-cognitive abilities development of rural boarding children. Living with grandparents heightened the negative effect on non-cognitive abilities development. ConclusionsThe findings of this study strengthen the link between parent–child distance and rural boarding children and the moderating impact of living with grandparents on the effect of parent–child distance on rural boarding children's human capital providing new insights for promoting the development of rural boarding children. It also highlights the detrimental effects of emotional neglect on rural boarding children's development. This is important for realizing China's rural revitalization strategy and the healthy development of disadvantaged children in rural areas.

Correlation of insomnia with perceived stress in college students

To investigate the prevalence of insomnia in college students and analyze the correlation between insomnia and perceived stress. A cluster sampling method was used to investigate the prevalence of insomnia and stress levels in 3702 college students using Insomnia Severity Index (ISI) and Perceived Stress Scale-10 (PSS-10). Insomnia was detected in 31.4% of the college students, and the symptoms were more severe in male students (t=2.047, P=0.041) and in those with poorer family economic conditions (F=20.423, P<0.001). Insomnia was positively correlated with perceived stress, perceived distress, and perceived coping ability, with correlation coefficients of 0.42, 0.38, and 0.31, respectively (P<0.001). The students with higher levels of perceived stress had higher insomnia scores (F=203.03, P<0.001) and higher detection rate of insomnia (χ2=359.784, P<0.001), and those with moderate or severe insomnia also had higher levels of perceived stress (F=293.569, P<0.001). The types of perceived stress among college students included incontrollable (15.3%), nervous (8.3%), vulnerable (23.0%) and the relaxed types (53.5%). The incontrollable type was associated with the highest insomnia scores, followed by the nervous type and susceptible type, and the relaxed type had the lowest insomnia scores (F= 185.969, P<0.001). The prevalence rates of insomnia in students with the 4 types of perceived stress were 57.3%, 43.3%, 39.3%, and 18.7%, respectively (χ2=368.876, P<0.001). There is a close correlation between perceived stress and insomnia, and identification of the high-risk population for insomnia from the perspectives of perceived stress level and perceived stress type can facilitate the management and prevention of insomnia.