[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/eee/ingrde/v3y2024i3s2949753124000353.html
   My bibliography  Save this article

Carbon reduction effect of industrial robots: Breaking the impasse for carbon emissions and development

Author

Listed:
  • Han, Wang-Zhe
  • Zhang, Yi-Ming
Abstract
With the rapid development of intelligent production technology, using the advantage of industrial robots to promote corporate green development has become an inevitable trend. The study conducts an empirical test using 916 Chinese A-share listed companies from 2011 to 2019. Results indicate that industrial robots can effectively reduce firm-level carbon emissions, while technology innovation and internal control promote this effect. Also, robots can suppress corporate carbon emissions by enhancing human capital's level and increasing investment in emission-reduction equipment. Through heterogeneity analysis, this negative effect is more significant in regions with greater carbon reduction pressure and industries with higher capital-to-labor ratios. This paper enriches the related research on intelligent manufacturing and energy saving and provides empirical evidence for the use of intelligent production technology to achieve corporate carbon reduction, which is of great significance in cracking the intrinsic contradiction between emission reduction and development and accelerating the realization of sustainable development.

Suggested Citation

  • Han, Wang-Zhe & Zhang, Yi-Ming, 2024. "Carbon reduction effect of industrial robots: Breaking the impasse for carbon emissions and development," Innovation and Green Development, Elsevier, vol. 3(3).
  • Handle: RePEc:eee:ingrde:v:3:y:2024:i:3:s2949753124000353
    DOI: 10.1016/j.igd.2024.100158
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2949753124000353
    Download Restriction: Open-access

    File URL: https://libkey.io/10.1016/j.igd.2024.100158?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Du, Longzheng & Lin, Weifen, 2022. "Does the application of industrial robots overcome the Solow paradox? Evidence from China," Technology in Society, Elsevier, vol. 68(C).
    2. Khan, Zeeshan & Ali, Shahid & Dong, Kangyin & Li, Rita Yi Man, 2021. "How does fiscal decentralization affect CO2 emissions? The roles of institutions and human capital," Energy Economics, Elsevier, vol. 94(C).
    3. Wang, Jianlong & Wang, Weilong & Liu, Yong & Wu, Haitao, 2023. "Can industrial robots reduce carbon emissions? Based on the perspective of energy rebound effect and labor factor flow in China," Technology in Society, Elsevier, vol. 72(C).
    4. Arianna Martinelli & Andrea Mina & Massimo Moggi, 2021. "The enabling technologies of industry 4.0: examining the seeds of the fourth industrial revolution [Mapping innovation dynamics in the Internet of Things domain: evidence from patent analysis]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(1), pages 161-188.
    5. Liu, Jun & Chang, Huihong & Forrest, Jeffrey Yi-Lin & Yang, Baohua, 2020. "Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    6. Daron Acemoglu & Pascual Restrepo, 2018. "Low-Skill and High-Skill Automation," Journal of Human Capital, University of Chicago Press, vol. 12(2), pages 204-232.
    7. Qingling Liu & Xiaoxiao Yang & Zhiyang Shen & Dalia Štreimikienė, 2022. "Digital economy and substantial green innovation: empirical evidence from Chinese listed companies," Post-Print hal-03974905, HAL.
    8. Jia, Ruining & Shao, Shuai & Yang, Lili, 2021. "High-speed rail and CO2 emissions in urban China: A spatial difference-in-differences approach," Energy Economics, Elsevier, vol. 99(C).
    9. Li, Juan & Ma, Shaoqi & Qu, Yi & Wang, Jiamin, 2023. "The impact of artificial intelligence on firms’ energy and resource efficiency: Empirical evidence from China," Resources Policy, Elsevier, vol. 82(C).
    10. Artuc,Erhan & Bastos,Paulo S. R. & Rijkers,Bob, 2018. "Robots, Tasks and Trade," Policy Research Working Paper Series 8674, The World Bank.
    11. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
    12. Shen, Neng & Peng, Hui, 2021. "Can industrial agglomeration achieve the emission-reduction effect?," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    13. Gihleb, Rania & Giuntella, Osea & Stella, Luca & Wang, Tianyi, 2022. "Industrial robots, Workers’ safety, and health," Labour Economics, Elsevier, vol. 78(C).
    14. Krenz, Astrid & Prettner, Klaus & Strulik, Holger, 2021. "Robots, reshoring, and the lot of low-skilled workers," European Economic Review, Elsevier, vol. 136(C).
    15. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    16. Ozcan, Burcu, 2013. "The nexus between carbon emissions, energy consumption and economic growth in Middle East countries: A panel data analysis," Energy Policy, Elsevier, vol. 62(C), pages 1138-1147.
    17. Joao Guerreiro & Sergio Rebelo & Pedro Teles, 2022. "Should Robots Be Taxed?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 279-311.
    18. Chen, Xing & Lin, Boqiang, 2021. "Towards carbon neutrality by implementing carbon emissions trading scheme: Policy evaluation in China," Energy Policy, Elsevier, vol. 157(C).
    19. 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.
    20. Dalenogare, Lucas Santos & Benitez, Guilherme Brittes & Ayala, Néstor Fabián & Frank, Alejandro Germán, 2018. "The expected contribution of Industry 4.0 technologies for industrial performance," International Journal of Production Economics, Elsevier, vol. 204(C), pages 383-394.
    21. Xie, Rui & Fang, Jiayu & Liu, Cenjie, 2017. "The effects of transportation infrastructure on urban carbon emissions," Applied Energy, Elsevier, vol. 196(C), pages 199-207.
    22. Forslid, Rikard & Okubo, Toshihiro & Ulltveit-Moe, Karen Helene, 2018. "Why are firms that export cleaner? International trade, abatement and environmental emissions," Journal of Environmental Economics and Management, Elsevier, vol. 91(C), pages 166-183.
    23. Gan, Jiawu & Liu, Lihua & Qiao, Gang & Zhang, Qin, 2023. "The role of robot adoption in green innovation: Evidence from China," Economic Modelling, Elsevier, vol. 119(C).
    24. Ghosh, Sajal, 2010. "Examining carbon emissions economic growth nexus for India: A multivariate cointegration approach," Energy Policy, Elsevier, vol. 38(6), pages 3008-3014, June.
    25. Hao Lv & Beibei Shi & Nan Li & Rong Kang, 2022. "Intelligent Manufacturing and Carbon Emissions Reduction: Evidence from the Use of Industrial Robots in China," IJERPH, MDPI, vol. 19(23), pages 1-20, November.
    26. Behera, Smruti Ranjan & Dash, Devi Prasad, 2017. "The effect of urbanization, energy consumption, and foreign direct investment on the carbon dioxide emission in the SSEA (South and Southeast Asian) region," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 96-106.
    27. Zhang, Wei & Li, Jing & Li, Guoxiang & Guo, Shucen, 2020. "Emission reduction effect and carbon market efficiency of carbon emissions trading policy in China," Energy, Elsevier, vol. 196(C).
    28. Gutiérrez, Emilio & Teshima, Kensuke, 2018. "Abatement expenditures, technology choice, and environmental performance: Evidence from firm responses to import competition in Mexico," Journal of Development Economics, Elsevier, vol. 133(C), pages 264-274.
    29. Liu, Yajun & Zhang, Xiuwu & Shen, Yang, 2024. "Technology-driven carbon reduction: Analyzing the impact of digital technology on China's carbon emission and its mechanism," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    30. Huang, Geng & He, Ling-Yun & Lin, Xi, 2022. "Robot adoption and energy performance: Evidence from Chinese industrial firms," Energy Economics, Elsevier, vol. 107(C).
    31. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei, 2018. "How does information and communication technology affect China's energy intensity? A three-tier structural decomposition analysis," Energy, Elsevier, vol. 151(C), pages 748-759.
    32. Barrows, Geoffrey & Ollivier, Hélène, 2018. "Cleaner firms or cleaner products? How product mix shapes emission intensity from manufacturing," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 134-158.
    33. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    34. Apergis, Nicholas & Ben Jebli, Mehdi & Ben Youssef, Slim, 2018. "Does renewable energy consumption and health expenditures decrease carbon dioxide emissions? Evidence for sub-Saharan Africa countries," Renewable Energy, Elsevier, vol. 127(C), pages 1011-1016.
    35. Ding, Xin & Ren, Yajing & Tan, Wenhao & Wu, Haomin, 2023. "Does carbon emission of firms matter for Bank loans decision? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 86(C).
    36. Acheampong, Alex O. & Amponsah, Mary & Boateng, Elliot, 2020. "Does financial development mitigate carbon emissions? Evidence from heterogeneous financial economies," Energy Economics, Elsevier, vol. 88(C).
    37. Meng, Xin & Yu, Yanni, 2023. "Can renewable energy portfolio standards and carbon tax policies promote carbon emission reduction in China's power industry?," Energy Policy, Elsevier, vol. 174(C).
    38. 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).
    39. Ang, James B., 2008. "Economic development, pollutant emissions and energy consumption in Malaysia," Journal of Policy Modeling, Elsevier, vol. 30(2), pages 271-278.
    40. Lina Meng & Bo Huang, 2018. "Shaping the Relationship Between Economic Development and Carbon Dioxide Emissions at the Local Level: Evidence from Spatial Econometric Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(1), pages 127-156, September.
    41. 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).
    42. Dogan, Eyup & Seker, Fahri, 2016. "Determinants of CO2 emissions in the European Union: The role of renewable and non-renewable energy," Renewable Energy, Elsevier, vol. 94(C), pages 429-439.
    43. Wu, Linfei & Sun, Liwen & Qi, Peixiao & Ren, Xiangwei & Sun, Xiaoting, 2021. "Energy endowment, industrial structure upgrading, and CO2 emissions in China: Revisiting resource curse in the context of carbon emissions," Resources Policy, Elsevier, vol. 74(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lin, Boqiang & Xu, Chongchong, 2024. "The effects of industrial robots on firm energy intensity: From the perspective of technological innovation and electrification," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    2. Wang, Jianlong & Wang, Weilong & Liu, Yong & Wu, Haitao, 2023. "Can industrial robots reduce carbon emissions? Based on the perspective of energy rebound effect and labor factor flow in China," Technology in Society, Elsevier, vol. 72(C).
    3. Lin, Boqiang & Xu, Chongchong, 2024. "Enhancing energy-environmental performance through industrial intelligence: Insights from Chinese prefectural-level cities," Applied Energy, Elsevier, vol. 365(C).
    4. Zhao, Congyu & Dong, Kangyin & Wang, Kun & Nepal, Rabindra, 2024. "How does artificial intelligence promote renewable energy development? The role of climate finance," Energy Economics, Elsevier, vol. 133(C).
    5. Zhou, Wei & Zhuang, Yan & Chen, Yan, 2024. "How does artificial intelligence affect pollutant emissions by improving energy efficiency and developing green technology," Energy Economics, Elsevier, vol. 131(C).
    6. Lee, Chien-Chiang & Yan, Jingyang, 2024. "Will artificial intelligence make energy cleaner? Evidence of nonlinearity," Applied Energy, Elsevier, vol. 363(C).
    7. Mao, Fengfu & Hou, Yuqiao & Wang, Rong & Wang, Zongshun, 2023. "Can industrial intelligence break the carbon curse of natural resources in the context of Post-Covid-19 period? Fresh evidence from China," Resources Policy, Elsevier, vol. 86(PA).
    8. Gan, Jiawu & Liu, Lihua & Qiao, Gang & Zhang, Qin, 2023. "The role of robot adoption in green innovation: Evidence from China," Economic Modelling, Elsevier, vol. 119(C).
    9. 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).
    10. Wang, Hua & Liao, Lingtao & Wu, Ji (George), 2023. "Robot adoption and firm's capacity utilization: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    11. Chen, Pengyu & Chu, Zhongzhu & Zhao, Miao, 2024. "The Road to corporate sustainability: The importance of artificial intelligence," Technology in Society, Elsevier, vol. 76(C).
    12. Ana Abeliansky & Klaus Prettner & Ernesto Rodríguez Crespo, 2024. "Climate change and automation: the emission effects of robot adoption," Department of Economics Working Papers wuwp370, Vienna University of Economics and Business, Department of Economics.
    13. Xi Lin & Ling-Yun He, 2023. "The More the Merrier? Evidence from Firm-Level Exports and Environmental Performance in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(1), pages 125-172, January.
    14. Yang, Siying & Liu, Fengshuo, 2024. "Impact of industrial intelligence on green total factor productivity: The indispensability of the environmental system," Ecological Economics, Elsevier, vol. 216(C).
    15. Zhang, Xinchun & Sun, Murong & Liu, Jianxu & Xu, Aijia, 2024. "The nexus between industrial robot and employment in China: The effects of technology substitution and technology creation," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    16. Lin, Changqing & Xiao, Shengpeng & Yin, Zihui, 2022. "How do industrial robots applications affect the quality upgrade of Chinese export trade?," Telecommunications Policy, Elsevier, vol. 46(10).
    17. Amjad Ali & Marc Audi & Yannick Roussel, 2021. "Natural Resources Depletion, Renewable Energy Consumption and Environmental Degradation: A Comparative Analysis of Developed and Developing World," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 251-260.
    18. Salahuddin, Mohammad & Alam, Khorshed & Ozturk, Ilhan & Sohag, Kazi, 2018. "The effects of electricity consumption, economic growth, financial development and foreign direct investment on CO2 emissions in Kuwait," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2002-2010.
    19. Li, Jianjun & Wu, Zhouyi & Yu, Kaijia & Zhao, Wei, 2024. "The effect of industrial robot adoption on firm value: Evidence from China," Finance Research Letters, Elsevier, vol. 60(C).
    20. Gasteiger, Emanuel & Prettner, Klaus, 2022. "Automation, Stagnation, And The Implications Of A Robot Tax," Macroeconomic Dynamics, Cambridge University Press, vol. 26(1), pages 218-249, January.

    More about this item

    Keywords

    Industrial robots; Carbon emission reduction; Sustainable development; Chinese A-share listed companies;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ingrde:v:3:y:2024:i:3:s2949753124000353. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/innovation-and-green-development .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.