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Analysis of circular economy barriers in manufacturing context for indian industries: a BWM ranking process

Author

Listed:
  • Manoj Sharma

    (Poornima University)

  • Narayan Lal Jain

    (Poornima University)

  • Jayant Kishor Purohit

    (Banasthali University)

Abstract

In the era circular economy, a nation’s ability to sustainably grow its manufacturing sector is crucial for overall economic development. Therefore, in order to make the industrial sector sustainable and competitive, technologies must be developed with the circular economy in mind. Small- and medium-sized enterprises, comprising the majority of manufacturing firms in India and playing a significant role in the nation’s GDP, are often considered the backbone of the economy. This research aims to reexamine the concept of a circular economy system within the manufacturing industry by conducting a thorough analysis of scientific literature. Following an extensive literature review and consultations with experts and practitioners, the study identified 37 obstacles that impede the adoption of a circular economy in the manufacturing sector of Indian businesses. The findings were measured to help with decision-making. These barriers were dispersed among six clusters. Cultural, Regulatory, Financial, Environmental, Technological, and Supply chain management are six categories of barriers into which all of those found in the literature may be classified. To validate these barriers, a survey questionnaire was formulated, and the collected data was thoroughly analyzed. Cronbach’s alpha is employed to evaluate the reliability of the major barriers. The majority of the manufacturing industries in India come under the category of small and medium enterprises. A significant list questionnaires were prepared and sent to the respondents through email and through personal visits was made in nearby industries. A very mature response rate has been received against the questionnaires. An expert panel of manufacturing industry managers and technical personnel validates these barriers as affecting how developing countries adopt circular economy, assigns weights to the barriers and employs the Best–Worst Method to decide how to rank the barriers at the end. As per the findings, cultural and technical barriers pose significant challenges for the adoption of a circular economy in India’s industrial sectors. Through this study, the industries are better equipped to comprehend the barriers to the circular economy and develop practical implementation plans.

Suggested Citation

  • Manoj Sharma & Narayan Lal Jain & Jayant Kishor Purohit, 2024. "Analysis of circular economy barriers in manufacturing context for indian industries: a BWM ranking process," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 29349-29377, November.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:11:d:10.1007_s10668-023-03868-9
    DOI: 10.1007/s10668-023-03868-9
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    References listed on IDEAS

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    1. Somesh Agarwal & Mohit Tyagi & R.K. Garg, 2021. "Conception of circular economy obstacles in context of supply chain: a case of rubber industry," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 72(4), pages 1111-1153, November.
    2. Sina Abbasi & Babek Erdebilli, 2023. "Green Closed-Loop Supply Chain Networks’ Response to Various Carbon Policies during COVID-19," Sustainability, MDPI, vol. 15(4), pages 1-30, February.
    3. Anish Kumar & Sachin Kumar Mangla & Pradeep Kumar, 2022. "Barriers for adoption of Industry 4.0 in sustainable food supply chain: a circular economy perspective," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 73(2), pages 385-411, February.
    4. Susana Garrido Azevedo & Radu Godina & João Carlos de Oliveira Matias, 2017. "Proposal of a Sustainable Circular Index for Manufacturing Companies," Resources, MDPI, vol. 6(4), pages 1-24, November.
    5. Accorsi, Riccardo & Manzini, Riccardo & Pini, Chiara & Penazzi, Stefano, 2015. "On the design of closed-loop networks for product life cycle management: Economic, environmental and geography considerations," Journal of Transport Geography, Elsevier, vol. 48(C), pages 121-134.
    6. Jagdish Bhadu & Dharmendra Singh & Jaiprakash Bhamu, 2021. "Analysis of lean implementation barriers in Indian ceramic industries: modeling through an interpretive ranking process," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 71(8), pages 3606-3635, May.
    7. Narwane, Vaibhav S. & Yadav, Vinay Surendra & Raut, Rakesh D. & Narkhede, Balkrishna E. & Gardas, Bhaskar B., 2021. "Sustainable development challenges of the biofuel industry in India based on integrated MCDM approach," Renewable Energy, Elsevier, vol. 164(C), pages 298-309.
    8. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
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