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Global industrial robots trade network structure and its impact on manufacturing carbon intensity

Author

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  • Chen, Yuling
  • Du, Debin
  • Zhang, Qiang
  • Li, Xiya

Abstract

The rapid development of the advanced manufacturing sector has elevated industrial robots to the status of crucial strategic technology. This study explored the evolution of the network structure of the global industrial robot trade and its implications for carbon emission intensity in the manufacturing sector. An analysis of trade networks and carbon emission intensity revealed that the global industrial robot trade network is becoming increasingly complex and dense, characterized by polarization effects and geographical heterogeneity. Despite the uneven global distribution of carbon emission intensity in the manufacturing sector, a general decline and narrowing range were observed. Moreover, the empirical findings indicated that network centrality adversely affected carbon emission intensity of the manufacturing industry, with this impact varying by region. The carbon reduction effect was pronounced in economically advanced regions, whereas carbon emission intensity increased in economically disadvantaged areas. These findings suggest policy recommendations for carbon reduction across countries that differ in their engagement levels in the industrial robot trade network.

Suggested Citation

  • Chen, Yuling & Du, Debin & Zhang, Qiang & Li, Xiya, 2025. "Global industrial robots trade network structure and its impact on manufacturing carbon intensity," Technology in Society, Elsevier, vol. 83(C).
    • Handle: RePEc:eee:teinso:v:83:y:2025:i:c:s0160791x2500171x
    DOI: 10.1016/j.techsoc.2025.102981
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    1. Jiaojiao Ji & George A. Barnett & Jianxun Chu, 2019. "Global networks of genetically modified crops technology: a patent citation network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 737-762, March.
    2. Yaya Li & Yongli Li & An Pan & Xue Pan & Eleonora Veglianti, 2022. "The Network Structure Characteristics and Determinants of the Belt & Road Industrial Robot Trade," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(5), pages 1491-1501, April.
    3. Okushima, Shinichiro & Tamura, Makoto, 2010. "What causes the change in energy demand in the economy?: The role of technological change," Energy Economics, Elsevier, vol. 32(Supplemen), pages 41-46, September.
    4. Daron Acemoglu & Pascual Restrepo, 2022. "Demographics and Automation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 1-44.
    5. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    6. Lene Kromann & Nikolaj Malchow-Møller & Jan Rose Skaksen & Anders Sørensen, 2020. "Automation and productivity—a cross-country, cross-industry comparison," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(2), pages 265-287.
    7. Wang, En-Ze & Lee, Chien-Chiang & Li, Yaya, 2022. "Assessing the impact of industrial robots on manufacturing energy intensity in 38 countries," Energy Economics, Elsevier, vol. 105(C).
    8. Daron Acemoglu & Pascual Restrepo, 2018. "Demographics and Automation," Boston University - Department of Economics - Working Papers Series dp-299, Boston University - Department of Economics.
    9. Morteza Ghobakhloo, 2020. "Determinants of information and digital technology implementation for smart manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 58(8), pages 2384-2405, April.
    10. Zhang, Hongwei & Wang, Ying & Zhu, Xuehong & Guo, Yaoqi, 2020. "The impact of energy trade patterns on CO2 emissions: An emergy and network analysis," Energy Economics, Elsevier, vol. 92(C).
    11. Wang, Yue & Zhang, Zhenke & Xu, Minghui, 2023. "Evolution pattern of African countries' oil trade under the changing in the global oil market," Energy, Elsevier, vol. 284(C).
    12. Aller, Carlos & Ductor, Lorenzo & Herrerias, M.J., 2015. "The world trade network and the environment," Energy Economics, Elsevier, vol. 52(PA), pages 55-68.
    13. Taylor M. Scott, 2005. "Unbundling the Pollution Haven Hypothesis," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 4(2), pages 1-28, June.
    14. Yaya Li & Yongtao Peng & Jianqiang Luo & Yihan Cheng & Eleonora Veglianti, 2019. "Spatial-temporal variation characteristics and evolution of the global industrial robot trade: A complex network analysis," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-14, September.
    15. Yaya Li & Yongtao Peng & Jianqiang Luo & Yihan Cheng & Eleonora Veglianti, 2019. "Spatial-temporal variation characteristics and evolution of the global industrial robot trade: A complex network analysis," Post-Print hal-04522125, HAL.
    16. De Benedictis Luca & Nenci Silvia & Santoni Gianluca & Tajoli Lucia & Vicarelli Claudio, 2014. "Network Analysis of World Trade using the BACI-CEPII Dataset," Global Economy Journal, De Gruyter, vol. 14(3-4), pages 287-343, October.
    17. Sun, Chuanwang & Li, Zhi & Ma, Tiemeng & He, Runyong, 2019. "Carbon efficiency and international specialization position: Evidence from global value chain position index of manufacture," Energy Policy, Elsevier, vol. 128(C), pages 235-242.
    18. Ye, Chusheng & Ye, Qin & Shi, Xunpeng & Sun, Yongping, 2020. "Technology gap, global value chain and carbon intensity: Evidence from global manufacturing industries," Energy Policy, Elsevier, vol. 137(C).
    19. Du, Zhili & Wang, Yao, 2022. "Does energy-saving and emission reduction policy affects carbon reduction performance? A quasi-experimental evidence in China," Applied Energy, Elsevier, vol. 324(C).
    20. Werner Antweiler & Brian R. Copeland & M. Scott Taylor, 2001. "Is Free Trade Good for the Environment?," American Economic Review, American Economic Association, vol. 91(4), pages 877-908, September.
    21. Li, Yaya & Zhang, Yuru & Pan, An & Han, Minchun & Veglianti, Eleonora, 2022. "Carbon emission reduction effects of industrial robot applications: Heterogeneity characteristics and influencing mechanisms," Technology in Society, Elsevier, vol. 70(C).
    22. Caselli, Francesco & Wilson, Daniel J., 2004. "Importing technology," Journal of Monetary Economics, Elsevier, vol. 51(1), pages 1-32, January.
    23. Qinchang Gui & Chengliang Liu & Debin Du, 2018. "Does network position foster knowledge production? Evidence from international scientific collaboration network," Growth and Change, Wiley Blackwell, vol. 49(4), pages 594-611, December.
    24. Hazwan Haini, 2021. "Examining the impact of ICT, human capital and carbon emissions: Evidence from the ASEAN economies," International Economics, CEPII research center, issue 166, pages 116-125.
    25. Tingzhu Li & Xiaodong Huang & Debin Du, 2024. "Empirical research on the impact of international trade network of high-tech product on its global value chain," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 33(6), pages 1040-1073, August.
    26. Yaya Li & Yuru Zhang & An Pan & Minchun Han & Eleonora Veglianti, 2022. "Carbon emission reduction effects of industrial robot applications: Heterogeneity characteristics and influencing mechanisms," Post-Print hal-04522085, HAL.
    27. Vargas Meza Xanat & Ke Jiang & George A. Barnett & Han Woo Park, 2018. "International trade of GMO-related agricultural products," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 565-587, March.
    28. Wang, Weilong & Wang, Jianlong & Ye, Huiying & Wu, Haitao, 2024. "Polluted air, smarter factories? China's robot imports shed light on a potential link," Energy Economics, Elsevier, vol. 134(C).
    29. Cao, Wanpeng & Du, Debin & Xia, Qifan, 2023. "Unbalanced global vaccine product trade pattern: A network perspective," Social Science & Medicine, Elsevier, vol. 325(C).
    30. Qi, Jianhong & Tan, Yong & Zhang, Zhitong, 2024. "The influence of industrial robots on firm-level pollution emissions: Evidence from China," Economic Modelling, Elsevier, vol. 133(C).
    31. Tang, Yiding & Zhu, Shujin & Luo, Yan & Duan, Wenjing, 2022. "Input servitization, global value chain, and carbon mitigation: An input-output perspective of global manufacturing industry," Economic Modelling, Elsevier, vol. 117(C).
    32. Tang, Juan & Jiang, Yanyan, 2024. "Natural resources-environment dilemma: The context of foreign direct investment and international trade," Resources Policy, Elsevier, vol. 89(C).
    33. Lee, Chien-Chiang & Qin, Shuai & Li, Yaya, 2022. "Does industrial robot application promote green technology innovation in the manufacturing industry?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    34. Xia, Qifan & Du, Debin & Cao, Wanpeng & Li, Xiya, 2023. "Who is the core? Reveal the heterogeneity of global rare earth trade structure from the perspective of industrial chain," Resources Policy, Elsevier, vol. 82(C).
    35. Wolfgang Keller, 2004. "International Technology Diffusion," Journal of Economic Literature, American Economic Association, vol. 42(3), pages 752-782, September.
    36. Syngjoo Choi & Andrea Galeotti & Sanjeev Goyal, 2017. "Trading in Networks: Theory and Experiments," Journal of the European Economic Association, European Economic Association, vol. 15(4), pages 784-817.
    37. Pei, Jiansuo & Meng, Bo & Wang, Fei & Xue, Jinjun, 2015. "Production sharing, demand spillovers and CO2 emissions : the case of Chinese regions in GVCs," IDE Discussion Papers 493, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    38. Poumanyvong, Phetkeo & Kaneko, Shinji, 2010. "Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis," Ecological Economics, Elsevier, vol. 70(2), pages 434-444, December.
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