Literature DB >> 35192984

Does technical progress curb India's carbon emissions? A novel approach of combining extended index decomposition analysis and production-theoretical decomposition analysis.

Qiang Wang1, Xinyu Han2, Rongrong Li3.   

Abstract

Technical progress is one of the best strategies to meet the dual challenges of economic growth and carbon emissions control in developing countries such as India. In this research, an empirical study of India's carbon emissions was conducted to understand the effects of various technical factors on total and industrial carbon emission intensity. Ten driving factors of carbon emission in 56 sectors of India are decomposed by combining Index Decomposition Analysis (IDA) and Production-theoretical Decomposition Analysis (PDA). The results reveal that (i) the pure carbon-reduction technical efficiency and the scale efficiency of carbon-reduction technology in India have not improved, and the technical progress of pure carbon-reduction and the scale efficiency of carbon-reduction technology has played a positive role in carbon emission. (ii) The scale efficiency of pure energy-saving technology progress is the most important factor in restraining carbon emissions, and pure energy-saving technology progress has had an overall promoting effect. However, the effect of energy-saving technology progress is not as effective as the scale efficiency through improving energy technology progress. (iii) Per capita value added and population size are powerful factors that promote carbon emissions. This study also makes a targeted analysis of the driving factors of carbon emissions in different industries, which provide a reference for the process of carbon-reduction in different industries.
Copyright © 2022 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Carbon emission; Carbon intensity of energy; Data envelopment analysis; Energy intensity of value added; Production-theoretical decomposition analysis

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Year:  2022        PMID: 35192984     DOI: 10.1016/j.jenvman.2022.114720

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  1 in total

1.  The Impact Relationships between Scientific and Technological Innovation, Industrial Structure Advancement and Carbon Footprints in China Based on the PVAR Model.

Authors:  Shengli Dai; Yingying Wang; Weimin Zhang
Journal:  Int J Environ Res Public Health       Date:  2022-08-03       Impact factor: 4.614

  1 in total

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