Chibuikem Dibor Alfred, Mehdi Seraj, Huseyin Ozdeser
{"title":"The Impact of Technological Advancement on Unemployment in Turkey","authors":"Chibuikem Dibor Alfred, Mehdi Seraj, Huseyin Ozdeser","doi":"10.37256/ges.5120243330","DOIUrl":"https://doi.org/10.37256/ges.5120243330","url":null,"abstract":"Technological advancements have been reshaping industries and economies worldwide. As technology evolves, questions arise about its impact on employment. This study aims to investigate the relationship between technological advancement and unemployment over the period from 1991 to 2020. The objective of this research is to examine the influence of various factors, including Patent Assistance (PA) residents, Gross Domestic Product per capita (GDPpc), Gross Capital Formation (GCF), and the Consumer Price Index (CPI), on the unemployment rate (UEMP). We seek to understand these variables’ long-term and short-term effects on unemployment. We utilized data from the World Bank for our analysis. The study employed the Auto Regressive Distributed Lag (ARDL) methodology to explore the dynamics between technological advancement and unemployment. This method allows us to investigate both short-term and long-term relationships. Our analysis revealed interesting insights. In the long run, we observed that GCF and CPI negatively influenced unemployment, indicating that an increase in these variables is associated with a reduction in unemployment. However, PA had a positive impact on UEMP, although this effect was not statistically significant. In the short term, GCF, GDPpc, and CPI all had a negative effect on UEMP. These findings carry important policy implications. They suggest that fostering startups and entrepreneurial ventures can drive technological innovation and job creation. To support this, policymakers should focus on creating an enabling environment for startups by reducing bureaucratic barriers, streamlining business registration processes, and providing financial and mentoring support. Encouraging entrepreneurship has the potential to unleash innovative ideas, create new ventures, and generate employment opportunities, particularly for the youth population.","PeriodicalId":487966,"journal":{"name":"Global economics science","volume":"81 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139388132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of Human Capital Development on Economic Progress: A Panel Data Analysis by Using Classical and Bayesian Estimates","authors":"Nayab Minhaj, Roohi Ahmed, Qasim Shah","doi":"10.37256/ges.5120241633","DOIUrl":"https://doi.org/10.37256/ges.5120241633","url":null,"abstract":"This comparative research debates a magnified role of human capital development in selected developed, developing economies and less developing economies, including Pakistan. Between 1990 and 2019, two-panel data analysis techniques were employed, one classical and the other Bayesian. The key objective of this study was to investigate the impact of human capital development on economic growth, and also suggest the best statistical techniques for developing an appropriate model. GDP is the dependent variable, whereas the independent variables are human capital, physical capital, physical and human capital growth, health expenditure, education spending, and life expectancy rate. For the optimal model, both Bayesian and classical approaches were used to analyze the appropriate model. Empirical evidence has shown that human capital is the most important factor and is directly correlated with growth in any economy Furthermore, the findings suggested that Bayesian techniques produce more appropriate models for policy implications than classical techniques.","PeriodicalId":487966,"journal":{"name":"Global economics science","volume":"70 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136349745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of Human Capital Development and Economic Growth on Global Competitiveness","authors":"Nayab Minhaj, Roohi Ahmed","doi":"10.37256/ges.5120241632","DOIUrl":"https://doi.org/10.37256/ges.5120241632","url":null,"abstract":"The focus of this study is on the growing importance of human capital development in a number of developed, emerging, and developing countries, including Pakistan. The panel data analysis uses traditional approaches to examine observations from 1990 to 2019. The study’s main goal was to look at the impact of human capital development and growth on competitiveness. The dependent variable in the model is the global competitiveness index (GCI), with human capital, GDP per capita, GNP per capita, physical capital growth, and inflation as explanatory variables. Empirical data consistently demonstrates that human capital is the paramount asset in all economies, regardless of their development status. Its strong connection to competitiveness underscores the need to thoroughly evaluate policies impacting human capital development across nations. This assessment is crucial for understanding the interplay of policies and human capital development, a key factor in achieving desired outcomes.","PeriodicalId":487966,"journal":{"name":"Global economics science","volume":"308 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136103291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Leveraging Youth Employment Through Human Resource Practices and Vocational Education in Asia","authors":"None Falendra Kumar Sudan","doi":"10.37256/ges.4320231572","DOIUrl":"https://doi.org/10.37256/ges.4320231572","url":null,"abstract":"This paper reviewed how human resource (HR) practices and vocational education leverage you temployment in Asian countries, presented a statistical analysis of youth unemployment and employment, an formulated policy proposals that influence youth employment through HR practices and technical and vocational education and training (TVET). The study has used multiple data sources for data triangulation and combined qualitative and quantitative research. The study reveals that inadequate knowledge and skills have been responsible for substantial youth unemployment in Asian economies. Novel technologies and innovations cause substantial skills gaps in labor markets. Disruptive technologies make it difficult to predict future job skills. The existing skills in organizations engaged in information technology/business process outsourcing and tourism are becoming obsolete. Similarly, organizations engaged in financial services and advanced manufacturing are vulnerable to disruption. Therefore, HR practices in organizations need to adopt a more forward-looking approach and equip young workers with cross-job skills that enable them to perform new tasks. Therefore, skilled, knowledgeable, and trainable human resources should be recruited to perform human resource management tasks including routine and specialized activities. Besides, emerging employment opportunities in the context of new technologies should be tapped by developing compatible skills by reorienting existing educational and vocational education through robust TVET programs.","PeriodicalId":487966,"journal":{"name":"Global economics science","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135392972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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