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2025-10-23
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Copyright (c) 2025 Yahya Majeed Alsaad, Bushra Jabbar Abdul Kareem, Zina Muin Mohammed, Dhafer Aldabagh, Thamer Kadum Yousif Al Hilfi, Larysa Prots

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How to Cite
The future of work and environmental sustainability: Balancing automation and green jobs
Yahya Majeed Alsaad
Al-Turath University, Baghdad 10013, Iraq
Bushra Jabbar Abdul Kareem
Al-Mansour University College, Baghdad 10067, Iraq
Zina Muin Mohammed
Al-Mamoon University College, Baghdad 10012, Iraq
Dhafer Aldabagh
Al-Rafidain University College, Baghdad 10064, Iraq
Thamer Kadum Yousif Al Hilfi
Madenat Alelem University College, Baghdad 10006, Iraq
Larysa Prots
Uzhhorod National University, Uzhhorod 88000, Ukraine
DOI: https://doi.org/10.59429/esp.v10i9.3972
Keywords: Automation; sustainability; green jobs; energy efficiency; emissions reduction; workforce transformation.
Abstract
The rate at which automation has swept the world, does not only capture the attention of a number of emerging industries and revolutionizing productivity schemes but also defying concepts toward environmental sustainability and labor allocation. Although automation is typically linked to an increase in productivity and competitive advantage, the greater opportunity of automation in the rate of energy consumed and the emissions reduction and green jobs creation remain not sufficiently measured. The paper discusses how automation is producing two impacts, which have implications on the future of both production and the labor markets, in manufacturing and logistics and agriculture and retail sales. By employing a mixed-method analysis methodology, longitudinal data analysis was supplemented with econometric modelling, to determine the impacts of automation on the energy efficiency trends (carbon reduction and employment). Regression test, sensitivity and validation tests were performed in order to support both the sector level case studies and the robustness of empirical estimates to ascertain that the results are empirically strong. The outcomes of automation, according to the results, reduce energy consumption (18-25 percent) and greenhouse gases (15-20 percent) in major uptake areas such as manufacturing and logistics. Meanwhile, green job creation increased by a factor of 15-28% with a particular growth in middle and high-skilled jobs. Horticulture and retail were slower but had less significant sustainability benefits, confirming the disproportionate spread of automation technology in sectors. Nevertheless, under adaptive policies, upskilling of the labor force and incorporation of green technologies turn out to be environmental and social opportunities in the decarbonization and inclusive growth of countries. The findings imply that a sector-specific governance strategy and long-term oversight will be required to make a balanced sustainability change to produce an equalized transition to the low-carbon automated economy.
References
[1]. 1.Bazargani, K. and T. Deemyad Automation’s Impact on Agriculture: Opportunities, Challenges, and Economic Effects. Robotics, 2024. 13, DOI: 10.3390/robotics13020033.
[2]. 2.Yang, Z. and Y. Shen, The impact of intelligent manufacturing on industrial green total factor productivity and its multiple mechanisms. Frontiers in Environmental Science, 2023. 10.
[3]. 3.Nosirov, I., et al. AI and Corporate Sustainability: Exploring the Environmental and Social Impacts of AI Integration. in 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS). 2024.
[4]. 4.Uriarte-Gallastegi, N., et al. The Role of AI in Improving Environmental Sustainability: A Focus on Energy Management. Energies, 2024. 17, DOI: 10.3390/en17030649.
[5]. 5.Castellanos-Nieves, D. and L. García-Forte Improving Automated Machine-Learning Systems through Green AI. Applied Sciences, 2023. 13, DOI: 10.3390/app132011583.
[6]. 6.Hu, J., Q. Sun, and W. Wang, The role of green and digital technology convergence on carbon emission reduction: evidence from China. Frontiers in Environmental Science, 2024. 12.
[7]. 7.Malik, A., et al., Industrial revolution and environmental sustainability: an analytical interpretation of research constituents in Industry 4.0. International Journal of Lean Six Sigma, 2024. 15(1): p. 22-49.
[8]. 8.Zhao, C., et al. The Impact of Industrial Robots on Green Total Factor Energy Efficiency: Empirical Evidence from Chinese Cities. Energies, 2024. 17, DOI: 10.3390/en17205034.
[9]. 9.Jiang, H., et al., How automated machines influence employment in manufacturing enterprises? PLOS ONE, 2024. 19(3): p. e0299194.
[10]. 10.Rosário, A.T. and J.C. Dias The New Digital Economy and Sustainability: Challenges and Opportunities. Sustainability, 2023. 15, DOI: 10.3390/su151410902.
[11]. 11.Gomes da Silva, F.J., Green Automation: Increasing Sustainability, From Industry to Our Home (1st ed.). . CRC Press. 2024.
[12]. 12.Sileniece, L.A., A Review of Green Business Negotiations and the Development of Sustainable Business Transitions. Economics Ecology Socium, 2024. 8(4): p. 14-24.
[13]. 13.Georgescu, C.M., Olimid, A. P., Olimid, D. A., Gherghe, C. L., A Cross-Sectional Review of Energy Transition, Security and Climate Change Policies. Economics Ecology Socium, 2025. 9(2): p. 21-38.
[14]. 14.Cuccu, L. and V. Royuela, Just reallocated? Robots displacement, and job quality. British Journal of Industrial Relations, 2024. 62(4): p. 705-731.
[15]. 15.Taleghani, M. and M.J. Sola, Examining the Social Consequences of Automation and Artificial Intelligence in Industrial Management. Research in Economics and Management, 2024.
[16]. 16.Qin, X., et al., Automation, firm employment and skill upgrading: firm-level evidence from China. Industry and Innovation, 2022. 29(9): p. 1075-1107.
[17]. 17.Duan, Y., The interaction between China’s economic recovery and environmental governance: a comprehensive analysis of energy consumption, CO2 emissions, and resource management. Frontiers in Environmental Science, 2024. 12.
[18]. 18.Palčič, I. and J. Prester Effect of Usage of Industrial Robots on Quality, Labor Productivity, Exports and Environment. Sustainability, 2024. 16, DOI: 10.3390/su16188098.
[19]. 19.Gamberini, L. and P. Pluchino, Industry 5.0: A comprehensive insight into the future of work, social sustainability, sustainable development, and career. Australian Journal of Career Development, 2024. 33(1): p. 5-14.
[20]. 20.Noroozi, M., et al., An AI-Assisted Systematic Literature Review of the Impact of Vehicle Automation on Energy Consumption. IEEE Transactions on Intelligent Vehicles, 2023. 8(6): p. 3572-3592.
[21]. 21.Kozar, Ł.J., et al. Green Jobs in the EU Renewable Energy Sector: Quantile Regression Approach. Energies, 2022. 15, DOI: 10.3390/en15186578.
[22]. 22.Stanef-Puică, M.-R., et al. Green Jobs—A Literature Review. International Journal of Environmental Research and Public Health, 2022. 19, DOI: 10.3390/ijerph19137998.
[23]. 23.Ari, E., et al., A Conceptual Model for Green Human Resource Management: Indicators, Differential Pathways, and Multiple Pro-Environmental Outcomes. Sustainability, 2020. 12: p. 7089.
[24]. 24.Ash, J., Automation and environmental dispositions. Dialogues in Human Geography, 2023. 14(1): p. 76-79.
[25]. 25.Antczak, E. and G. Artur, Key economic sectors for green job creation in Poland – an empirical analysis. Economics and Environment, 2023. 85(2): p. 68-89.
[26]. 26.Janis, I., Strategies for Establishing Dependability between Two Qualitative Intrinsic Case Studies: A Reflexive Thematic Analysis. Field Methods, 2022. 34(3): p. 240-255.
[27]. 27.Amrutha, V.N. and S. Geetha, A systematic review on green human resource management: Implications for social sustainability. Journal of Cleaner Production, 2020. 247: p. 119131.
[28]. 28.Vidmar, D., M. Marolt, and A. Pucihar, Information Technology for Business Sustainability: A Literature Review with Automated Content Analysis. Sustainability, 2021.






