Transiting towards green productivity: Evidence from Indian organized manufacturing industries.
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| Titel: | Transiting towards green productivity: Evidence from Indian organized manufacturing industries. |
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| Autoren: | Sharma H; Birla Institute of Technology and Science (BITS), Pilani, Jhunjhunu, Rajasthan, India. Electronic address: sharmahimja207@gmail.com., Padhi B; Birla Institute of Technology and Science (BITS), Pilani, Jhunjhunu, Rajasthan, India. Electronic address: padhicds@gmail.com. |
| Quelle: | Journal of environmental management [J Environ Manage] 2025 Jan; Vol. 373, pp. 123662. Date of Electronic Publication: 2024 Dec 17. |
| Publikationsart: | Journal Article |
| Sprache: | English |
| Info zur Zeitschrift: | Publisher: Academic Press Country of Publication: England NLM ID: 0401664 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-8630 (Electronic) Linking ISSN: 03014797 NLM ISO Abbreviation: J Environ Manage Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: London ; New York, Academic Press. |
| MeSH-Schlagworte: | Manufacturing Industry*, India ; Sustainable Development ; Carbon ; Industry |
| Abstract: | Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Promoting green growth and decarbonizing economies to achieve sustainable economic development has become critically important globally. This study calculated the energy-induced carbon emissions and green total factor productivity (GTFP) for the organized manufacturing sector in India utilizing factory-level Annual Survey of Industry datasets. The GTFP has been calculated utilizing the Global Malmquist-Luenberger index methodology at both the aggregate and industry levels. Additionally, it examines the convergence hypothesis for the major Indian states from 2001-02 to 2021-22 by employing the Phillips and Sul (2007, 2009) methodology to analyze the distribution dynamics of GTFP. It analyzes structural changes in carbon emissions and carbon productivity, while also identifying the most polluting industries at the sector level. The study's findings indicate that labour-intensive industries contribute the least to GVA while producing substantial emissions. There is a complete divergence across the regions in GTFP, indicating two clubs and one non-convergent group. Our findings offer novel insights to policymakers on the dynamics of GTFP and enhancements in productivity, while integrating environmental considerations. (Copyright © 2024 Elsevier Ltd. All rights reserved.) |
| Contributed Indexing: | Keywords: Convergence; Green total factor productivity (GTFP); Non-radical SBM DEA; Spatial-temporal; Structural shift |
| Substance Nomenclature: | 7440-44-0 (Carbon) |
| Entry Date(s): | Date Created: 20241218 Date Completed: 20250428 Latest Revision: 20250428 |
| Update Code: | 20250429 |
| DOI: | 10.1016/j.jenvman.2024.123662 |
| PMID: | 39693990 |
| Datenbank: | MEDLINE |
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Nájsť tento článok vo Web of Science | Abstract: | Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br />Promoting green growth and decarbonizing economies to achieve sustainable economic development has become critically important globally. This study calculated the energy-induced carbon emissions and green total factor productivity (GTFP) for the organized manufacturing sector in India utilizing factory-level Annual Survey of Industry datasets. The GTFP has been calculated utilizing the Global Malmquist-Luenberger index methodology at both the aggregate and industry levels. Additionally, it examines the convergence hypothesis for the major Indian states from 2001-02 to 2021-22 by employing the Phillips and Sul (2007, 2009) methodology to analyze the distribution dynamics of GTFP. It analyzes structural changes in carbon emissions and carbon productivity, while also identifying the most polluting industries at the sector level. The study's findings indicate that labour-intensive industries contribute the least to GVA while producing substantial emissions. There is a complete divergence across the regions in GTFP, indicating two clubs and one non-convergent group. Our findings offer novel insights to policymakers on the dynamics of GTFP and enhancements in productivity, while integrating environmental considerations.<br /> (Copyright © 2024 Elsevier Ltd. All rights reserved.) |
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| ISSN: | 1095-8630 |
| DOI: | 10.1016/j.jenvman.2024.123662 |