The Dynamics of Labor Income Share in an Era of Robotic Automation: A Panel Data Analysis in High-Level Automation Countries
This study examines the impact of robotic capital, physical capital, technological change, human capital, and trade globalization on labor income share dynamics in the era of robotic automation. Focusing on China, Germany, Japan, South Korea, and the United States – countries responsible for 79.2% o...
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| Format: | Article |
| Language: | English |
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Sciendo
2025-03-01
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| Series: | Studia Universitatis Vasile Goldis Arad, Seria Stiinte Economice |
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| Online Access: | https://doi.org/10.2478/sues-2025-0005 |
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| author | Erkişi Kemal Çetin Melike |
| author_facet | Erkişi Kemal Çetin Melike |
| author_sort | Erkişi Kemal |
| collection | DOAJ |
| description | This study examines the impact of robotic capital, physical capital, technological change, human capital, and trade globalization on labor income share dynamics in the era of robotic automation. Focusing on China, Germany, Japan, South Korea, and the United States – countries responsible for 79.2% of global industrial robotic installations from 2010 to 2023 – our analysis employs key variables such as labor income share, annual industrial robot installations, gross fixed capital formation, researchers in research and development, human capital index, and trade of goods and services. Estimations using Arellano-Bond, Generalized Estimating Equations, Driscoll-Kraay, and Arellano-Froot-Rogers methods reveal a consistent negative association between labor income share and robotic capital. Conversely, a positive relationship is observed with research and development. Notably, the study underscores the consistent negative impact of physical capital accumulation on labor income share across the Arellano-Bond, Driscoll-Kraay, and Arellano-Froot-Rogers methods. Furthermore, globalization, as assessed by the Arellano-Bond, Generalized Estimating Equations, and Driscoll-Kraay methods, is identified as a factor adversely affecting labor income share. |
| format | Article |
| id | doaj-art-0f08fc199d9046d293435875d3b29da8 |
| institution | Kabale University |
| issn | 2285-3065 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Studia Universitatis Vasile Goldis Arad, Seria Stiinte Economice |
| spelling | doaj-art-0f08fc199d9046d293435875d3b29da82025-01-20T11:10:14ZengSciendoStudia Universitatis Vasile Goldis Arad, Seria Stiinte Economice2285-30652025-03-013518311210.2478/sues-2025-0005The Dynamics of Labor Income Share in an Era of Robotic Automation: A Panel Data Analysis in High-Level Automation CountriesErkişi Kemal0Çetin Melike11Antalya Bilim University, Antalya, Turkiye2Antalya Bilim University, Antalya, TurkiyeThis study examines the impact of robotic capital, physical capital, technological change, human capital, and trade globalization on labor income share dynamics in the era of robotic automation. Focusing on China, Germany, Japan, South Korea, and the United States – countries responsible for 79.2% of global industrial robotic installations from 2010 to 2023 – our analysis employs key variables such as labor income share, annual industrial robot installations, gross fixed capital formation, researchers in research and development, human capital index, and trade of goods and services. Estimations using Arellano-Bond, Generalized Estimating Equations, Driscoll-Kraay, and Arellano-Froot-Rogers methods reveal a consistent negative association between labor income share and robotic capital. Conversely, a positive relationship is observed with research and development. Notably, the study underscores the consistent negative impact of physical capital accumulation on labor income share across the Arellano-Bond, Driscoll-Kraay, and Arellano-Froot-Rogers methods. Furthermore, globalization, as assessed by the Arellano-Bond, Generalized Estimating Equations, and Driscoll-Kraay methods, is identified as a factor adversely affecting labor income share.https://doi.org/10.2478/sues-2025-0005robotic automationlabor incomerobotic capitaltechnological changepanel dataj24j31o33l16 |
| spellingShingle | Erkişi Kemal Çetin Melike The Dynamics of Labor Income Share in an Era of Robotic Automation: A Panel Data Analysis in High-Level Automation Countries Studia Universitatis Vasile Goldis Arad, Seria Stiinte Economice robotic automation labor income robotic capital technological change panel data j24 j31 o33 l16 |
| title | The Dynamics of Labor Income Share in an Era of Robotic Automation: A Panel Data Analysis in High-Level Automation Countries |
| title_full | The Dynamics of Labor Income Share in an Era of Robotic Automation: A Panel Data Analysis in High-Level Automation Countries |
| title_fullStr | The Dynamics of Labor Income Share in an Era of Robotic Automation: A Panel Data Analysis in High-Level Automation Countries |
| title_full_unstemmed | The Dynamics of Labor Income Share in an Era of Robotic Automation: A Panel Data Analysis in High-Level Automation Countries |
| title_short | The Dynamics of Labor Income Share in an Era of Robotic Automation: A Panel Data Analysis in High-Level Automation Countries |
| title_sort | dynamics of labor income share in an era of robotic automation a panel data analysis in high level automation countries |
| topic | robotic automation labor income robotic capital technological change panel data j24 j31 o33 l16 |
| url | https://doi.org/10.2478/sues-2025-0005 |
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