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Modeling enablers of supply chain decarbonisation to achieve zero carbon emissions: an environment, social and governance (ESG) perspective

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Abstract

Climate change is the greatest threat to our planet and way of life. There is an immediate need of decarbonisation and a push for a smooth transition to a world with no net carbon emissions. To achieve sustainability, fast-moving consumer goods (FMCG) firms are increasing their efforts to reduce their carbon footprint across their supply chains. The firms and government undertake several initiatives towards achieving the zero carbon mission. Hence, there is a need to identify the prominent enablers that may enhance the decarbonisation in the FMCG sector and contribute towards a net-zero carbon economy. The current study has identified and assessed the enablers (6 main criteria, 19 sub-criteria), including green innovation, green supply chain, sustainable decision-making, organisation decisions and government control from environment, social and governance (ESG) perspective. Eco-friendly manufacturing techniques and eco-friendly goods may give businesses a competitive edge and sustainability. The six primary factors that can help to reduce decarbonisation are evaluated using the stepwise weight assessment ratio analysis (SWARA) technique. The criteria and sub-criteria are assessed by SWARA method. A total of 32 experts from the FMCG industry are undertaken to validate and assess the enablers. This study identified and evaluated the ESG-based decarbonisation enablers in FMCG. The study shows that green innovations are ranked first, followed by organisational decisions and government control. This is likely the first study to examine how the FMCG industry’s enablers for decreasing carbon footprints connect. The study is helpful to the supply chain managers and the other decision makers to implement well-designed processes for creating new products and a supply chain from the point of purchase to the place of supply, all backed by advanced technology and the appropriate regulatory adjustments.

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Author information

Authors and Affiliations

  1. Department of Management Studies, Graphic Era Deemed to Be University, Dehradun, India

    Manu Sharma & Janmejai Kumar Shah

  2. Australian Artificial Intelligence Institute (AAII), University of Technology, Sydney, Australia

    Manu Sharma

  3. Operations and Supply Chain Management Research Lab, School of Management, Doon University, Dehradun, 248001, Uttarakhand, India

    Sudhanshu Joshi

  4. Australian Artificial Intelligence Institute (AAII), University of Technology, Sydney, Australia

    Sudhanshu Joshi

Authors
  1. Manu Sharma
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  2. Janmejai Kumar Shah
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  3. Sudhanshu Joshi
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Contributions

Manu Sharma: supervision, methodology, validation, formal analysis, investigation, data curation, writing. Janmejai Kumar Shah: writing—review and editing; Sudhanshu Joshi supervision, writing—review and editing. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Manu Sharma.

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Reference No. Ref. No. GEU/DOMS/00–20-22/1.

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The authors declare no competing interests.

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Responsible Editor: Arshian Sharif

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Appendices

Appendix 1

Table 5 List of main criteria and sub-criteria
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Appendix 2

figure a
Table 6 Computations for Experts group using SWARA method
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Table 7 Calculation of main criteria
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Table 8 Sub-criteria C1
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Table 9 Sub-criteria C2
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Table 10 Sub-criteria C3
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Table 11 Sub-criteria C4
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Table 12 Sub-criteria C5
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Table 13 Sub-criteria C6
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Sharma, M., Shah, J.K. & Joshi, S. Modeling enablers of supply chain decarbonisation to achieve zero carbon emissions: an environment, social and governance (ESG) perspective. Environ Sci Pollut Res 30, 76718–76734 (2023). https://doi.org/10.1007/s11356-023-27480-6

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