Pub Date : 2024-05-17DOI: 10.11648/j.ijefm.20241203.11
Billy Gao
In addressing the need for a robust economic measure, this paper presents a mathematical model to forecast Gross Domestic Product (GDP) across diverse global economies. Our model, constructed from a dataset spanning 39 years from 16 varied economies, deciphers GDP by dissecting its fundamental components of population and productivity. Through meticulous literature review and data analysis, the research develops four predictive models, using linear and exponential trends, to represent the immediate and projected rates of change in both population and productivity. The research reveals a nuanced dynamic between these elements, identifying productivity, especially in infrastructure, healthcare, telecommunications, and innovation, as a pivotal force in driving economic growth. The study not only underlines the significant influence of these sectors but also the critical role of developed economies in aiding less developed ones to counteract the widening poverty gap. A comprehensive sensitivity analysis within the paper evaluates the impact of these factors on GDP, equipping policymakers with essential insights into enhancing economic progress. By combining immediate and long-term growth metrics derived from twenty-four influential variables into a cohesive predictive model, this research illuminates the complex interplay of forces shaping GDP trajectories. It suggests that while boosting population can yield short-term economic gains, enduring prosperity hinges on amplifying productivity. Moreover, the study points to the potential socio-economic divides that necessitate proactive measures for equitable development. Although challenges such as data dependency and growth discrepancies are acknowledged, the model proposes more frequent data analyses for capturing economic fluctuations accurately. Conclusively, the paper bridges a critical gap in economic modeling literature and provides a pragmatic framework for crafting inclusive economic policies and development strategies, thus making a significant contribution to both theoretical and applied economic fields.
{"title":"A Universal Model for General Gross Domestic Product Across Global Economies","authors":"Billy Gao","doi":"10.11648/j.ijefm.20241203.11","DOIUrl":"https://doi.org/10.11648/j.ijefm.20241203.11","url":null,"abstract":"In addressing the need for a robust economic measure, this paper presents a mathematical model to forecast Gross Domestic Product (GDP) across diverse global economies. Our model, constructed from a dataset spanning 39 years from 16 varied economies, deciphers GDP by dissecting its fundamental components of population and productivity. Through meticulous literature review and data analysis, the research develops four predictive models, using linear and exponential trends, to represent the immediate and projected rates of change in both population and productivity. The research reveals a nuanced dynamic between these elements, identifying productivity, especially in infrastructure, healthcare, telecommunications, and innovation, as a pivotal force in driving economic growth. The study not only underlines the significant influence of these sectors but also the critical role of developed economies in aiding less developed ones to counteract the widening poverty gap. A comprehensive sensitivity analysis within the paper evaluates the impact of these factors on GDP, equipping policymakers with essential insights into enhancing economic progress. By combining immediate and long-term growth metrics derived from twenty-four influential variables into a cohesive predictive model, this research illuminates the complex interplay of forces shaping GDP trajectories. It suggests that while boosting population can yield short-term economic gains, enduring prosperity hinges on amplifying productivity. Moreover, the study points to the potential socio-economic divides that necessitate proactive measures for equitable development. Although challenges such as data dependency and growth discrepancies are acknowledged, the model proposes more frequent data analyses for capturing economic fluctuations accurately. Conclusively, the paper bridges a critical gap in economic modeling literature and provides a pragmatic framework for crafting inclusive economic policies and development strategies, thus making a significant contribution to both theoretical and applied economic fields.\u0000","PeriodicalId":258703,"journal":{"name":"International Journal of Economics, Finance and Management Sciences","volume":"104 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141126057","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}
Pub Date : 2024-04-12DOI: 10.11648/j.ijefm.20241202.14
Yuhang Xing, Ke Gao, Leyi Zhou
Online business models are developing rapidly and market competition is intensifying. Customer loyalty and consumer willingness are declining across many industries. Customer loyalty is a decisive factor affecting a company's long-term profits. Market share measured by customer loyalty is more meaningful than market share measured by the number of customers. At the same time, corporate managers have shifted the focus of marketing management to improving customer loyalty, allowing companies to gain advantages in fierce competition. To build customer loyalty, it is important to use the right customer loyalty tools, which means the significant question for companies is which tool to choose. Therefore, this paper aimed to address the issues that how to design customer loyalty in online business models. To achieve this goal, this paper first illustrated the basics of customer loyalty and online business models. Then, relevant customer loyalty tools were selected and evaluated from contracts, products, communication and distribution policies to better build customer loyalty in online business models. This paper found that customer analysis and competitive analysis can also be evaluated as customer loyalty-oriented theories. Finally, the case of Amazon was also studied in the paper specifically, combining theory with practice to build customer loyalty in an online business model.
{"title":"Building Customer Loyalty in Online Business Models","authors":"Yuhang Xing, Ke Gao, Leyi Zhou","doi":"10.11648/j.ijefm.20241202.14","DOIUrl":"https://doi.org/10.11648/j.ijefm.20241202.14","url":null,"abstract":"Online business models are developing rapidly and market competition is intensifying. Customer loyalty and consumer willingness are declining across many industries. Customer loyalty is a decisive factor affecting a company's long-term profits. Market share measured by customer loyalty is more meaningful than market share measured by the number of customers. At the same time, corporate managers have shifted the focus of marketing management to improving customer loyalty, allowing companies to gain advantages in fierce competition. To build customer loyalty, it is important to use the right customer loyalty tools, which means the significant question for companies is which tool to choose. Therefore, this paper aimed to address the issues that how to design customer loyalty in online business models. To achieve this goal, this paper first illustrated the basics of customer loyalty and online business models. Then, relevant customer loyalty tools were selected and evaluated from contracts, products, communication and distribution policies to better build customer loyalty in online business models. This paper found that customer analysis and competitive analysis can also be evaluated as customer loyalty-oriented theories. Finally, the case of Amazon was also studied in the paper specifically, combining theory with practice to build customer loyalty in an online business model.","PeriodicalId":258703,"journal":{"name":"International Journal of Economics, Finance and Management Sciences","volume":"79 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140709165","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}
Pub Date : 2024-04-12DOI: 10.11648/j.ijefm.20241202.13
Mohamed Abdelgany, Sohair Mohamed, Mohamed Rashed
Education plays a pivotal role in driving economic growth, acting as a catalyst for human capital development and fostering innovation. Additionally, investing in education cultivates a skilled workforce, which not only attracts foreign investment but also enhances economic growth by bolstering competitiveness and market efficiency. Ultimately, these factors positively impact the standard of living, reflecting the interconnectedness between education, economic prosperity, and quality of life. This research comes to evaluate the impact of spending on education on the standard of living and then on economic growth in Egypt. The research is centered on employing a quantitative approach to assess the influence of education on economic growth. Additionally, it includes a descriptive analysis of variables and the presentation of results to provide a comprehensive understanding. The research functions the Auto Regressive Distributed Lag (ARDL) Bounds testing method in examining the cointegration from 1990 to 2021 based on annual time series data in Egypt. The research utilizes the numbers of classes in schools in the three educational stages (primary - preparatory - secondary) and the number of students enrolled in theoretical and practical colleges. The findings affirm that expenditure on education across all levels has a positive impact on economic growth in Egypt, albeit weak. This trend is attributed to the reduction in education spending relative to the growing number of students.
{"title":"Evaluating the Relationship Between Education Spending and Economic Growth in Egypt: An ARDL Model Analysis","authors":"Mohamed Abdelgany, Sohair Mohamed, Mohamed Rashed","doi":"10.11648/j.ijefm.20241202.13","DOIUrl":"https://doi.org/10.11648/j.ijefm.20241202.13","url":null,"abstract":"Education plays a pivotal role in driving economic growth, acting as a catalyst for human capital development and fostering innovation. Additionally, investing in education cultivates a skilled workforce, which not only attracts foreign investment but also enhances economic growth by bolstering competitiveness and market efficiency. Ultimately, these factors positively impact the standard of living, reflecting the interconnectedness between education, economic prosperity, and quality of life. This research comes to evaluate the impact of spending on education on the standard of living and then on economic growth in Egypt. The research is centered on employing a quantitative approach to assess the influence of education on economic growth. Additionally, it includes a descriptive analysis of variables and the presentation of results to provide a comprehensive understanding. The research functions the Auto Regressive Distributed Lag (ARDL) Bounds testing method in examining the cointegration from 1990 to 2021 based on annual time series data in Egypt. The research utilizes the numbers of classes in schools in the three educational stages (primary - preparatory - secondary) and the number of students enrolled in theoretical and practical colleges. The findings affirm that expenditure on education across all levels has a positive impact on economic growth in Egypt, albeit weak. This trend is attributed to the reduction in education spending relative to the growing number of students.","PeriodicalId":258703,"journal":{"name":"International Journal of Economics, Finance and Management Sciences","volume":"72 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140711100","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}
Pub Date : 2023-11-24DOI: 10.11648/j.ijefm.20231106.12
Olufemi C. Ademola, S. Alalade, P. Ogbebor, Olalekan Aworinde
{"title":"Interest Rates and Real Economic Growth in Nigeria: Empirical Investigation from Autoregressive Distributed Lag Model","authors":"Olufemi C. Ademola, S. Alalade, P. Ogbebor, Olalekan Aworinde","doi":"10.11648/j.ijefm.20231106.12","DOIUrl":"https://doi.org/10.11648/j.ijefm.20231106.12","url":null,"abstract":"","PeriodicalId":258703,"journal":{"name":"International Journal of Economics, Finance and Management Sciences","volume":"100 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139239001","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}
Pub Date : 2023-11-09DOI: 10.11648/j.ijefm.20231106.11
Abdul Fatahi Ibrahim, Eric Bruce-Amartey Junior, M. Ahiamenyo
{"title":"Empirical Analysis of the Implementation of (TQM) in the Production of Smocks in Northern Ghana for Sustainable Development","authors":"Abdul Fatahi Ibrahim, Eric Bruce-Amartey Junior, M. Ahiamenyo","doi":"10.11648/j.ijefm.20231106.11","DOIUrl":"https://doi.org/10.11648/j.ijefm.20231106.11","url":null,"abstract":"","PeriodicalId":258703,"journal":{"name":"International Journal of Economics, Finance and Management Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139281958","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}
Pub Date : 2023-10-31DOI: 10.11648/j.ijefm.20231105.16
Aiping Wu, Jessa Frida T. Festijo
{"title":"Surveillance on the Strategic Management of Meituan Fresh's Business Model Under the Digital Economy --Based on Multi-Case Comparative Analysis","authors":"Aiping Wu, Jessa Frida T. Festijo","doi":"10.11648/j.ijefm.20231105.16","DOIUrl":"https://doi.org/10.11648/j.ijefm.20231105.16","url":null,"abstract":"","PeriodicalId":258703,"journal":{"name":"International Journal of Economics, Finance and Management Sciences","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139308620","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}
Pub Date : 2023-10-31DOI: 10.11648/j.ijefm.20231105.15
Yuanzhe Cheng, Haoyang Lv, Hanrui Chen, Chengjie Ni, Yuyang Hu
{"title":"Performance Evaluation and Comparison of a Stacking - Based Ensemble Model for Traffic Speed Prediction","authors":"Yuanzhe Cheng, Haoyang Lv, Hanrui Chen, Chengjie Ni, Yuyang Hu","doi":"10.11648/j.ijefm.20231105.15","DOIUrl":"https://doi.org/10.11648/j.ijefm.20231105.15","url":null,"abstract":"","PeriodicalId":258703,"journal":{"name":"International Journal of Economics, Finance and Management Sciences","volume":"264 1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139309403","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}
Pub Date : 2023-10-31DOI: 10.11648/j.ijefm.20231105.17
Suman Dey
{"title":"Corporate Governance & Rights and Privileges of Minority Shareholders of Family-Owned Firms: Evidence from the Emerging Economy","authors":"Suman Dey","doi":"10.11648/j.ijefm.20231105.17","DOIUrl":"https://doi.org/10.11648/j.ijefm.20231105.17","url":null,"abstract":"","PeriodicalId":258703,"journal":{"name":"International Journal of Economics, Finance and Management Sciences","volume":"73 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139309451","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}
Pub Date : 2023-10-28DOI: 10.11648/j.ijefm.20231105.14
Qi’an Zhong
{"title":"Spatio-Temporal Evolution of the Coupled Coordination of the Digital Economy and the High-Quality Development of the Retail Industry<br /> <div> <br /> </div>","authors":"Qi’an Zhong","doi":"10.11648/j.ijefm.20231105.14","DOIUrl":"https://doi.org/10.11648/j.ijefm.20231105.14","url":null,"abstract":"","PeriodicalId":258703,"journal":{"name":"International Journal of Economics, Finance and Management Sciences","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139311933","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}
Pub Date : 2023-10-28DOI: 10.11648/j.ijefm.20231105.13
Mariana Doga-Mirzac, Viorica Ataman
{"title":"The Potential University Environment of Entrepreneurship Development Through the Lens of Business Incubators<br /> <div> <br /> </div>","authors":"Mariana Doga-Mirzac, Viorica Ataman","doi":"10.11648/j.ijefm.20231105.13","DOIUrl":"https://doi.org/10.11648/j.ijefm.20231105.13","url":null,"abstract":"","PeriodicalId":258703,"journal":{"name":"International Journal of Economics, Finance and Management Sciences","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139312182","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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