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Measuring Carbon Emission Efficiency in a Developing Country: A Comparative Study of Sustainability Initiatives and Nonsustainability Initiatives of Manufacturing Firms

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  • Jahira Debbarma
  • Vikas Kumar
  • Damilola Ekundayo

Abstract

Improving carbon emission efficiency (CEE) is considered one of the most cost‐effective ways to enhance sustainability and address climate change mitigation in developing countries like India. This study analyzes manufacturing firms' CEE of sustainability initiatives (SI) and nonsustainability initiatives (non‐SI) and examines the effect of nationally determined contributions commitments on these firms. A nonradial slack‐based model is adopted to assess efficiency over the period 2012–2022. Furthermore, the Tobit model is used to evaluate the influencing factors that promote the CEE of manufacturing firms. Findings reveal that most manufacturing firms in India, both in the SI and non‐SI groups, are carbon inefficient due to pure carbon emission inefficiency. Results also indicate that workforce skills training (0.23%) and technological progress (0.14%) positively impact the CEE of manufacturing firms. In addition, SI firms support the Porter hypothesis, suggesting that strict emissions regulations improve efficiency and encourage innovation. Therefore, policymakers in developing countries should implement performance‐based policies through trading programs and focus on skilled labor training and technological advancements to address climate change mitigation better and promote sustainability.

Suggested Citation

  • Jahira Debbarma & Vikas Kumar & Damilola Ekundayo, 2025. "Measuring Carbon Emission Efficiency in a Developing Country: A Comparative Study of Sustainability Initiatives and Nonsustainability Initiatives of Manufacturing Firms," Business Strategy and the Environment, Wiley Blackwell, vol. 34(8), pages 9672-9699, December.
  • Handle: RePEc:bla:bstrat:v:34:y:2025:i:8:p:9672-9699
    DOI: 10.1002/bse.70036
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    1. Sabuj Kumar Mandal & S Madheswaran, 2009. "Measuring Energy Use Efficiency in Presence of Undesirable Output: An Application of Data Envelopment Analysis (DEA) to Indian Cement Industry," Working Papers 235, Institute for Social and Economic Change, Bangalore.
    2. Teerawat Charoenrat & Charles Harvie, 2017. "The Performance of Thai Manufacturing SMEs: Data Envelopment Analysis (DEA) Approach," Global Business Review, International Management Institute, vol. 18(5), pages 1178-1198, October.
    3. He, Yong & Liao, Nuo & Zhou, Ya, 2018. "Analysis on provincial industrial energy efficiency and its influencing factors in China based on DEA-RS-FANN," Energy, Elsevier, vol. 142(C), pages 79-89.
    4. Choi, Yongrok & Zhang, Ning & Zhou, P., 2012. "Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure," Applied Energy, Elsevier, vol. 98(C), pages 198-208.
    5. Zhou, P. & Ang, B.W., 2008. "Linear programming models for measuring economy-wide energy efficiency performance," Energy Policy, Elsevier, vol. 36(8), pages 2901-2906, August.
    6. Chang, Young-Tae & Zhang, Ning & Danao, Denise & Zhang, Nan, 2013. "Environmental efficiency analysis of transportation system in China: A non-radial DEA approach," Energy Policy, Elsevier, vol. 58(C), pages 277-283.
    7. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Slacks-based efficiency measures for modeling environmental performance," Ecological Economics, Elsevier, vol. 60(1), pages 111-118, November.
    8. Chen, Jen-Yi & Chung, Moonwon & Wang, Chien-Hui, 2025. "Collaborative collective action in sustainability initiatives," Omega, Elsevier, vol. 136(C).
    9. Yongrok Choi & Hyoungsuk Lee & Jahira Debbarma, 2020. "Are Global Companies Better in Environmental Efficiency in India? Based on Metafrontier Malmquist CO 2 Performance," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
    10. Ming Yi & Yiqian Wang & Modan Yan & Lina Fu & Yao Zhang, 2020. "Government R&D Subsidies, Environmental Regulations, and Their Effect on Green Innovation Efficiency of Manufacturing Industry: Evidence from the Yangtze River Economic Belt of China," IJERPH, MDPI, vol. 17(4), pages 1-17, February.
    11. Xu Wang & Liyan Han & Libo Yin, 2016. "Environmental Efficiency and Its Determinants for Manufacturing in China," Sustainability, MDPI, vol. 9(1), pages 1-18, December.
    12. Sonali Sharma & Kakali Majumdar, 2021. "Efficiency of rice production and CO2 emissions: A study of selected Asian countries using DDF and SBM-DEA," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 64(12), pages 2133-2153, July.
    13. Mukherjee, Kankana, 2010. "Measuring energy efficiency in the context of an emerging economy: The case of indian manufacturing," European Journal of Operational Research, Elsevier, vol. 201(3), pages 933-941, March.
    14. Jahira Debbarma & Hyoungsuk Lee & Yongrok Choi, 2021. "Sustainable Feasibility of the Environmental-Friendly Policies on Agriculture and Its Related Sectors in India," Sustainability, MDPI, vol. 13(12), pages 1-14, June.
    15. Anthony N. Rezitis & Maria A. Kalantzi, 2016. "Investigating Technical Efficiency and Its Determinants by Data Envelopment Analysis: An Application in the Greek Food and Beverages Manufacturing Industry," Agribusiness, John Wiley & Sons, Ltd., vol. 32(2), pages 254-271, April.
    16. Diptiranjan Mahapatra & Rajesh Katiyar & Ratri Parida & Divesh Kumar, 2021. "A fuzzy multi-criteria approach for evaluating the contribution of freight transportation towards India’s Nationally Determined Contributions (NDCs)," International Journal of Production Research, Taylor & Francis Journals, vol. 59(9), pages 2857-2884, May.
    17. Seongkyoon Jeong & Jaeseok Lee, 2022. "Environment and Energy? The Impact of Environmental Management Systems on Energy Efficiency," Manufacturing & Service Operations Management, INFORMS, vol. 24(3), pages 1311-1328, May.
    18. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    19. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    20. Chae Hyun Im & Keun Tae Cho, 2021. "Comparing and Identifying Influential Factors of Technological Innovation Efficiency in Manufacturing and Service Industries Using DEA: A Study of SMEs in South Korea," Sustainability, MDPI, vol. 13(23), pages 1-21, November.
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