Araştırma Makalesi
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Automation, Political Competition and Robot Taxation: An Economic Analysis

Yıl 2025, Cilt: 24 Sayı: 53, 448 - 476, 29.09.2025
https://doi.org/10.46928/iticusbe.1673690

Öz

This study analyzes whether political competition warrants a robot tax or a subsidy. Through a simple general equilibrium model, we show that automation replaces routine workers while increasing the productivity of non-routine workers, which creates a political conflict of interest in society. As a result of this conflict, we analyze that two political parties representing different groups of workers engage in a game-theoretic competition to win elections and maximize the benefits of their electorate. In this political competition, both income tax and robot tax policy instruments are used. Our quantitative analysis demonstrates that current robot prices are too high which would result in support by both parties for subsidies for robot use. However, in this study, we show that robot taxes may become inevitable in the long run as robot prices decrease over time due to technological development. We also find that the multidimensionality of the policy space does not have a significant impact on our main findings. Our study contributes to the literature on understanding the effects of automation on political processes and decision-making mechanisms.

Kaynakça

  • Acemoglu, D., & Autor, D. (2011). Skills, tasks and technologies: Implications for employment and earnings. O. Ashenfelter & D. Card (Ed.), Handbook of labor economics (Vol. 4B, s. 1043–1171) içinde. Elsevier.
  • Acemoglu, D., Golosov, M., & Tsyvinski, A. (2010). Dynamic Mirrlees taxation under political economy constraints. Review of Economic Studies, 77(3), 841–881.
  • Acemoglu, D., Koster, H., & Ozgen, C. (2023). Robots and workers: Evidence from the Netherlands (NBER Working Paper No. 31009). National Bureau of Economic Research.
  • Acemoglu, D., & Restrepo, P. (2018). The race between man and machine: Implications of technology for growth, factor shares, and employment. American Economic Review, 108(6), 1488–1542. Acemoglu, D., & Restrepo, P. (2020). Robots and jobs: Evidence from US labor markets. Journal of Political Economy, 128(6), 2188–2244.
  • Adachi, D. (2024). Robots and Wage Polarization: The effects of robot capital by occupation (Discussion Paper No. 24066). Research Institute of Economy, Trade and Industry.
  • Ales, L., Kurnaz, M., & Sleet, C. (2015). Technical change, wage inequality, and taxes. American Economic Review, 105(10), 3061–3101.
  • Alesina, A., Miano, A., & Stantcheva, S. (2021). Immigration and redistribution. Review of Economic Studies, 88(1), 133–185.
  • Anelli, M., Colantone, I., & Stanig, P. (2021). Individual vulnerability to industrial robot adoption increases support for the radical right. Proceedings of the National Academy of Sciences, 118(47), e2111611118. https://doi.org/10.1073/pnas.2111611118
  • Atolia, M., Holland, M., & Kreamer, J. (2024). Optimal taxes and basic income during an episode of automation: A worker’s perspective. Macroeconomic Dynamics, 1–27.
  • Aum, S., & Shin, Y. (2024). Is software eating the world? (NBER Working Paper No. 32591). National Bureau of Economic Research.
  • Autor, D. H., Levy, F., & Murnane, R. (2003). The skill content of recent technological change: An empirical exploration. Quarterly Journal of Economics, 118(4), 1279–1333.
  • Autor, D. H., & Dorn, D. (2013). The growth of low-skill service jobs and the polarization of the US labor market. American Economic Review, 103(5), 1553–1597.
  • Bardhan, P., & Mookherjee, D. (2000). Capture and governance at local and national levels. American Economic Review, 90(2), 135–139. https://doi.org/10.1257/aer.90.2.135
  • Battaglini, M., & Harstad, B. (2020). The political economy of weak treaties. Journal of Political Economy, 128(3), 1010–1062.
  • Caselli, M., Fracasso, A., & Traverso, S. (2020). Globalization, robotization, and electoral outcomes: Evidence from spatial regressions for Italy. Journal of Regional Science, 61(1), 86–111.
  • Costinot, A., & Werning, I. (2023). Robots, trade, and Luddism: A sufficient statistic approach to optimal technology regulation. The Review of Economic Studies, 90(5), 2261–2291.
  • Eden, M., & Gaggl, P. (2020). On the welfare implications of automation. Review of Economic Dynamics, 37, 135–157.
  • Farhi, E., Sleet, C., Werning, I., & Yeltekin, S. (2012). Non-linear capital taxation without commitment. The Review of Economic Studies, 79(4), 1469–1493.
  • Farhi, E., & Werning, I. (2008). The political economy of nonlinear capital taxation. Unpublished manuscript.
  • Funke, M., Schularick, M., & Trebesch, C. (2023). Populist leaders and the economy. American Economic Review, 113(12), 3249–3288. https://doi.org/10.1257/aer.20202045
  • Gasteiger, E., & Prettner, K. (2022). Automation, stagnation, and the implications of a robot tax. Macroeconomic Dynamics, 26(1), 218–249.
  • Graetz, G., & Michaels, G. (2018). Robots at work. The Review of Economics and Statistics, 100(5), 753–768.
  • Guerreiro, J., Rebelo, S., & Teles, P. (2022). Should robots be taxed? The Review of Economic Studies, 89(1), 279–311.
  • Hémous, D., & Olsen, M. (2022). The rise of the machines: Automation, horizontal innovation, and income inequality. American Economic Journal: Macroeconomics, 14(1), 179–223.
  • Im, Z., Mayer, N., Palier, B., & Rovny, J. (2019). The “losers of automation”: A reservoir of votes for the radical right? Research and Politics, 6(1), 1–7. https://doi.org/10.1177/2053168018822395
  • Iversen, T., & Soskice, D. (2006). Electoral institutions and the politics of coalitions: Why some democracies redistribute more than others. American Political Science Review, 100(2), 165–181. https://doi.org/10.1017/S0003055406062083
  • Korinek, A., Schindler, M., & Stiglitz, J. E. (2021). Technological progress, artificial intelligence, and inclusive growth (IMF Working Paper No. 2021/166). International Monetary Fund. https://www.imf.org/en/Publications/WP/Issues/2021/06/11/Technological-Progress-Artificial-Intelligence-and-Inclusive-Growth-460695
  • McKinsey Global Institute. (2020). The automation age: Implications for employment and income inequality. https://www.mckinsey.com/featured-insights/artificial-intelligence/five-fifty-fear-fear-not
  • Persson, T., & Tabellini, G. (1994). Representative democracy and capital taxation. Journal of Public Economics, 55(1), 53–70.
  • Prettner, K., & Strulik, H. (2020). Innovation, automation, and inequality: Policy challenges in the race against the machine. Journal of Monetary Economics, 116, 249–265.
  • Roemer, J. E. (2001). Political competition: Theory and applications. Harvard University Press.
  • Rubin, R. (2020, January 20). The ‘robot tax’ debate heats up. The Wall Street Journal.
  • Schulz, K., Tsyvinski, A., & Werquin, N. (2022). Generalized compensation principle (Working Paper No. 2022-18). Federal Reserve Bank of Chicago. https://doi.org/10.21033/wp-2022-18
  • Shome, P. (2022). Taxation of robots. The Governance Brief, 44.
  • The Economist. (2023, February 25). Why there's no robot tax yet. The Economist. https://www.economist.com/finance-and-economics/2017/02/25/why-taxing-robots-is-not-a-good-idea
  • Thuemmel, U. (2023). Optimal taxation of robots. Journal of the European Economic Association, 21(3), 1154–1190.
  • Ünveren, B., Durmaz, T., & Sunal, S. (2023). AI revolution and coordination failure: Theory and evidence. Journal of Macroeconomics, 78, 103561. https://doi.org/10.1016/j.jmacro.2023.103561
  • Wittman, D. (1973). Parties as utility maximizers. American Political Science Review, 67(2), 490–498.

Otomasyon, Siyasi Rekabet ve Robot Vergilendirmesi: Ekonomik bir Analiz

Yıl 2025, Cilt: 24 Sayı: 53, 448 - 476, 29.09.2025
https://doi.org/10.46928/iticusbe.1673690

Öz

Bu çalışma, siyasi rekabetin robot vergisi veya sübvansiyonu gerektirip gerektirmediğini analiz etmektedir. Basit bir genel denge modeli aracılığıyla, otomasyonun rutin çalışanları ikame ederken, rutin olmayan çalışanların verimliliğini artırdığını ve bu durumun toplumda siyasi bir çıkar çatışmasına neden olduğunu göstermekteyiz. Bu çatışma sonucunda, farklı işçi gruplarını temsil eden iki siyasi partinin, seçimi kazanmak ve kendi seçmenlerinin faydasını maksimize etmek amacıyla oyun teorik bir rekabete girdiğini analiz ediyoruz. Bu siyasi yarışta, hem gelir vergisi hem de robot vergisi politika araçları kullanılmaktadır. Nicel analizimiz, mevcut robot fiyatlarının yüksek olması nedeniyle her iki partinin de robot kullanımı için sübvansiyonları desteklediğini göstermektedir. Ancak, bu çalışmada, teknolojik gelişmeye bağlı olarak robot fiyatlarının zamanla düşmesiyle birlikte, uzun vadede robot vergisinin kaçınılmaz hale gelebileceğini ortaya koyuyoruz. Ayrıca, politika alanının çok boyutlu olmasının, temel bulgularımız üzerinde belirgin bir etkisi olmadığını da tespit ediyoruz. Çalışmamız, otomasyonun siyasi süreçler ve karar alma mekanizmaları üzerindeki etkilerini anlamaya yönelik literatüre katkı sağlamaktadır.

Kaynakça

  • Acemoglu, D., & Autor, D. (2011). Skills, tasks and technologies: Implications for employment and earnings. O. Ashenfelter & D. Card (Ed.), Handbook of labor economics (Vol. 4B, s. 1043–1171) içinde. Elsevier.
  • Acemoglu, D., Golosov, M., & Tsyvinski, A. (2010). Dynamic Mirrlees taxation under political economy constraints. Review of Economic Studies, 77(3), 841–881.
  • Acemoglu, D., Koster, H., & Ozgen, C. (2023). Robots and workers: Evidence from the Netherlands (NBER Working Paper No. 31009). National Bureau of Economic Research.
  • Acemoglu, D., & Restrepo, P. (2018). The race between man and machine: Implications of technology for growth, factor shares, and employment. American Economic Review, 108(6), 1488–1542. Acemoglu, D., & Restrepo, P. (2020). Robots and jobs: Evidence from US labor markets. Journal of Political Economy, 128(6), 2188–2244.
  • Adachi, D. (2024). Robots and Wage Polarization: The effects of robot capital by occupation (Discussion Paper No. 24066). Research Institute of Economy, Trade and Industry.
  • Ales, L., Kurnaz, M., & Sleet, C. (2015). Technical change, wage inequality, and taxes. American Economic Review, 105(10), 3061–3101.
  • Alesina, A., Miano, A., & Stantcheva, S. (2021). Immigration and redistribution. Review of Economic Studies, 88(1), 133–185.
  • Anelli, M., Colantone, I., & Stanig, P. (2021). Individual vulnerability to industrial robot adoption increases support for the radical right. Proceedings of the National Academy of Sciences, 118(47), e2111611118. https://doi.org/10.1073/pnas.2111611118
  • Atolia, M., Holland, M., & Kreamer, J. (2024). Optimal taxes and basic income during an episode of automation: A worker’s perspective. Macroeconomic Dynamics, 1–27.
  • Aum, S., & Shin, Y. (2024). Is software eating the world? (NBER Working Paper No. 32591). National Bureau of Economic Research.
  • Autor, D. H., Levy, F., & Murnane, R. (2003). The skill content of recent technological change: An empirical exploration. Quarterly Journal of Economics, 118(4), 1279–1333.
  • Autor, D. H., & Dorn, D. (2013). The growth of low-skill service jobs and the polarization of the US labor market. American Economic Review, 103(5), 1553–1597.
  • Bardhan, P., & Mookherjee, D. (2000). Capture and governance at local and national levels. American Economic Review, 90(2), 135–139. https://doi.org/10.1257/aer.90.2.135
  • Battaglini, M., & Harstad, B. (2020). The political economy of weak treaties. Journal of Political Economy, 128(3), 1010–1062.
  • Caselli, M., Fracasso, A., & Traverso, S. (2020). Globalization, robotization, and electoral outcomes: Evidence from spatial regressions for Italy. Journal of Regional Science, 61(1), 86–111.
  • Costinot, A., & Werning, I. (2023). Robots, trade, and Luddism: A sufficient statistic approach to optimal technology regulation. The Review of Economic Studies, 90(5), 2261–2291.
  • Eden, M., & Gaggl, P. (2020). On the welfare implications of automation. Review of Economic Dynamics, 37, 135–157.
  • Farhi, E., Sleet, C., Werning, I., & Yeltekin, S. (2012). Non-linear capital taxation without commitment. The Review of Economic Studies, 79(4), 1469–1493.
  • Farhi, E., & Werning, I. (2008). The political economy of nonlinear capital taxation. Unpublished manuscript.
  • Funke, M., Schularick, M., & Trebesch, C. (2023). Populist leaders and the economy. American Economic Review, 113(12), 3249–3288. https://doi.org/10.1257/aer.20202045
  • Gasteiger, E., & Prettner, K. (2022). Automation, stagnation, and the implications of a robot tax. Macroeconomic Dynamics, 26(1), 218–249.
  • Graetz, G., & Michaels, G. (2018). Robots at work. The Review of Economics and Statistics, 100(5), 753–768.
  • Guerreiro, J., Rebelo, S., & Teles, P. (2022). Should robots be taxed? The Review of Economic Studies, 89(1), 279–311.
  • Hémous, D., & Olsen, M. (2022). The rise of the machines: Automation, horizontal innovation, and income inequality. American Economic Journal: Macroeconomics, 14(1), 179–223.
  • Im, Z., Mayer, N., Palier, B., & Rovny, J. (2019). The “losers of automation”: A reservoir of votes for the radical right? Research and Politics, 6(1), 1–7. https://doi.org/10.1177/2053168018822395
  • Iversen, T., & Soskice, D. (2006). Electoral institutions and the politics of coalitions: Why some democracies redistribute more than others. American Political Science Review, 100(2), 165–181. https://doi.org/10.1017/S0003055406062083
  • Korinek, A., Schindler, M., & Stiglitz, J. E. (2021). Technological progress, artificial intelligence, and inclusive growth (IMF Working Paper No. 2021/166). International Monetary Fund. https://www.imf.org/en/Publications/WP/Issues/2021/06/11/Technological-Progress-Artificial-Intelligence-and-Inclusive-Growth-460695
  • McKinsey Global Institute. (2020). The automation age: Implications for employment and income inequality. https://www.mckinsey.com/featured-insights/artificial-intelligence/five-fifty-fear-fear-not
  • Persson, T., & Tabellini, G. (1994). Representative democracy and capital taxation. Journal of Public Economics, 55(1), 53–70.
  • Prettner, K., & Strulik, H. (2020). Innovation, automation, and inequality: Policy challenges in the race against the machine. Journal of Monetary Economics, 116, 249–265.
  • Roemer, J. E. (2001). Political competition: Theory and applications. Harvard University Press.
  • Rubin, R. (2020, January 20). The ‘robot tax’ debate heats up. The Wall Street Journal.
  • Schulz, K., Tsyvinski, A., & Werquin, N. (2022). Generalized compensation principle (Working Paper No. 2022-18). Federal Reserve Bank of Chicago. https://doi.org/10.21033/wp-2022-18
  • Shome, P. (2022). Taxation of robots. The Governance Brief, 44.
  • The Economist. (2023, February 25). Why there's no robot tax yet. The Economist. https://www.economist.com/finance-and-economics/2017/02/25/why-taxing-robots-is-not-a-good-idea
  • Thuemmel, U. (2023). Optimal taxation of robots. Journal of the European Economic Association, 21(3), 1154–1190.
  • Ünveren, B., Durmaz, T., & Sunal, S. (2023). AI revolution and coordination failure: Theory and evidence. Journal of Macroeconomics, 78, 103561. https://doi.org/10.1016/j.jmacro.2023.103561
  • Wittman, D. (1973). Parties as utility maximizers. American Political Science Review, 67(2), 490–498.
Toplam 38 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Oyun Teorisi
Bölüm Araştırma Makalesi
Yazarlar

Hüseyin Can Hacıbebekoğlu 0000-0001-6910-1035

Burak Ünveren 0000-0002-4287-6663

Yayımlanma Tarihi 29 Eylül 2025
Gönderilme Tarihi 10 Nisan 2025
Kabul Tarihi 13 Haziran 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 24 Sayı: 53

Kaynak Göster

APA Hacıbebekoğlu, H. C., & Ünveren, B. (2025). Otomasyon, Siyasi Rekabet ve Robot Vergilendirmesi: Ekonomik bir Analiz. İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi, 24(53), 448-476. https://doi.org/10.46928/iticusbe.1673690