The Impact of Socio-Economic Challenges and Technological Progress on Economic Inequality: An Estimation with the Perelman Model and Ricci Flow Methods
The article examines the impact of 16 key parameters of the Georgian economy on economic inequality, using the Perelman model and Ricci flow mathematical methods. The aim of the study is to conduct a deep analysis of the impact of socio-economic challenges and technological progress on the dynamics...
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| Format: | Article |
| Language: | English |
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The Academic Research and Publishing UG (i. G.) (AR&P) LLC
2024-12-01
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| Series: | SocioEconomic Challenges |
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| Online Access: | https://armgpublishing.com/wp-content/uploads/2024/12/SEC_4_2024_11.pdf |
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| author | Davit Gondauri |
| author_facet | Davit Gondauri |
| author_sort | Davit Gondauri |
| collection | DOAJ |
| description | The article examines the impact of 16 key parameters of the Georgian economy on economic inequality, using the Perelman model and Ricci flow mathematical methods. The aim of the study is to conduct a deep analysis of the impact of socio-economic challenges and technological progress on the dynamics of the Gini coefficient. The article examines the following parameters: income distribution, productivity (GDP per hour), unemployment rate, investment rate, inflation rate, migration (net negative), education level, social mobility, trade infrastructure, capital flows, innovative activities, access to healthcare, fiscal policy (budget deficit), international trade (turnover relative to GDP), social protection programs, and technological access. The results of the study confirm that technological innovations and social protection programs have a positive impact on reducing inequality. Productivity growth, improving the quality of education and strengthening R&D investments increase the possibility of inclusive development. Sensitivity analysis shows that social mobility and infrastructure are important factors that affect economic stability. The accuracy of the model is confirmed by high R² values (80-90%) and the statistical reliability of the Z-statistic ( |
| format | Article |
| id | doaj-art-da65c63673bd426d9fb7a919a2ada085 |
| institution | Kabale University |
| issn | 2520-6621 2520-6214 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | The Academic Research and Publishing UG (i. G.) (AR&P) LLC |
| record_format | Article |
| series | SocioEconomic Challenges |
| spelling | doaj-art-da65c63673bd426d9fb7a919a2ada0852025-01-12T17:10:20ZengThe Academic Research and Publishing UG (i. G.) (AR&P) LLCSocioEconomic Challenges2520-66212520-62142024-12-018416117610.61093/sec.8(4).161-176.2024The Impact of Socio-Economic Challenges and Technological Progress on Economic Inequality: An Estimation with the Perelman Model and Ricci Flow MethodsDavit Gondauri0https://orcid.org/0000-0002-9611-3688Professor, Doctor of Business Administration, Business & Technology University, GeorgiaThe article examines the impact of 16 key parameters of the Georgian economy on economic inequality, using the Perelman model and Ricci flow mathematical methods. The aim of the study is to conduct a deep analysis of the impact of socio-economic challenges and technological progress on the dynamics of the Gini coefficient. The article examines the following parameters: income distribution, productivity (GDP per hour), unemployment rate, investment rate, inflation rate, migration (net negative), education level, social mobility, trade infrastructure, capital flows, innovative activities, access to healthcare, fiscal policy (budget deficit), international trade (turnover relative to GDP), social protection programs, and technological access. The results of the study confirm that technological innovations and social protection programs have a positive impact on reducing inequality. Productivity growth, improving the quality of education and strengthening R&D investments increase the possibility of inclusive development. Sensitivity analysis shows that social mobility and infrastructure are important factors that affect economic stability. The accuracy of the model is confirmed by high R² values (80-90%) and the statistical reliability of the Z-statistic (https://armgpublishing.com/wp-content/uploads/2024/12/SEC_4_2024_11.pdftechnological advanceseconomical inequalitygini coefficientricci flowperelman modelstechnological innovationsresearch and developmentinnovationssensitive analyzeautomatizationeconomic stabilitysocio-economic challenges |
| spellingShingle | Davit Gondauri The Impact of Socio-Economic Challenges and Technological Progress on Economic Inequality: An Estimation with the Perelman Model and Ricci Flow Methods SocioEconomic Challenges technological advances economical inequality gini coefficient ricci flow perelman models technological innovations research and development innovations sensitive analyze automatization economic stability socio-economic challenges |
| title | The Impact of Socio-Economic Challenges and Technological Progress on Economic Inequality: An Estimation with the Perelman Model and Ricci Flow Methods |
| title_full | The Impact of Socio-Economic Challenges and Technological Progress on Economic Inequality: An Estimation with the Perelman Model and Ricci Flow Methods |
| title_fullStr | The Impact of Socio-Economic Challenges and Technological Progress on Economic Inequality: An Estimation with the Perelman Model and Ricci Flow Methods |
| title_full_unstemmed | The Impact of Socio-Economic Challenges and Technological Progress on Economic Inequality: An Estimation with the Perelman Model and Ricci Flow Methods |
| title_short | The Impact of Socio-Economic Challenges and Technological Progress on Economic Inequality: An Estimation with the Perelman Model and Ricci Flow Methods |
| title_sort | impact of socio economic challenges and technological progress on economic inequality an estimation with the perelman model and ricci flow methods |
| topic | technological advances economical inequality gini coefficient ricci flow perelman models technological innovations research and development innovations sensitive analyze automatization economic stability socio-economic challenges |
| url | https://armgpublishing.com/wp-content/uploads/2024/12/SEC_4_2024_11.pdf |
| work_keys_str_mv | AT davitgondauri theimpactofsocioeconomicchallengesandtechnologicalprogressoneconomicinequalityanestimationwiththeperelmanmodelandricciflowmethods AT davitgondauri impactofsocioeconomicchallengesandtechnologicalprogressoneconomicinequalityanestimationwiththeperelmanmodelandricciflowmethods |