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Impact of industrial 4.0 on environment along with correlation between economic growth and carbon emissions

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Abstract

The German industry originates and uses the concept of industry 4.0 for the effective production. In today’s scenario, the technologies like the Internet of Things (IoT), cyber-physical systems and the emergence of industries have negative impact on environmental sustainability. While continuing to further economic growth, China provokes the dual experiment of reducing utilization of energy. The types of technological and financial opportunities are affected by the improvement in economic growth. In order to deal with the increasingly prominent energy constraints and increasingly serious problems in the economic and social development, this paper uses the grey theory which can contract with the little information and uncertainty in the system, and establishes the GM (1, 1) prediction model for carbon emissions prediction and the added value of various industries in China. All the experiments are done by using MATLAB. It is observed from the results that the carbon emissions under LC and ELC scenarios will decrease by 18.87% and 36.82% respectively as compared with Bau scenario. The conclusion confirmations that the carbon emissions of various industries in China are on the rise, and the carbon emissions will be greatly reduced by 2030.

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Authors and Affiliations

  1. Shandong Foreign Trade Vocational College, Qingdao, 266100, Shandong, China

    Lei Jiang

  2. Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, India

    Sachin Rambhau Sakhare

  3. Department of Computer Science, Savitribai Phule Pune University, Pune, India

    Mandeep Kaur

Authors
  1. Lei Jiang
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  2. Sachin Rambhau Sakhare
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  3. Mandeep Kaur
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Correspondence to Sachin Rambhau Sakhare.

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Jiang, L., Sakhare, S.R. & Kaur, M. Impact of industrial 4.0 on environment along with correlation between economic growth and carbon emissions. Int J Syst Assur Eng Manag 13 (Suppl 1), 415–423 (2022). https://doi.org/10.1007/s13198-021-01456-6

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  • DOI: https://doi.org/10.1007/s13198-021-01456-6

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