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Technology, price instruments and energy intensity: a study of firms in the manufacturing sector of the Indian economy

Annals of Operations Research volume 313, pages 319–339 (2022)Cite this article

Abstract

We identify factors influencing energy efficiency and the role of price instruments such as tax and technology use in reducing energy intensity at the firm level. We use data from 2001 to 2015 for India's manufacturing sector from the Centre for Monitoring Indian Economy. Our result strongly suggests that R&D and productivity have a positive impact on achieving energy efficiency. In such a case, at least one-to-one correspondence between the tax and energy intensity may help promote renewable energy use if they are subsidized and allowed to come under the provision of tax credit or tax exemption. Since price instruments do not produce any revenue recycling effect, policymakers can trade-off between increasing corporate tax and generating employment. Therefore, environmental regulations should strictly relate to increase energy efficiency and bring the manufacturing sector out of the productivity dilemma. Also, as evidence from the empirical analysis, there is an urgent need to substitute vintage capital with new capital and better technology. In addition to the existing liberalization policies, the Government must design green domestic policies for the manufacturing sector and map them with FDI and trade. As the polluted firms are energy-intensive, “Performance, Achievement and Trade” (PAT) policies need to focus on these firms.

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Fig. 1

Source: Authors’ estimation using data from the CMIE Prowess

Fig. 2

Source: Authors’ estimation using data from the CMIE Prowess

Fig. 3

Source: Authors’ estimation using data from the CMIE Prowess

Fig. 4
Fig. 5

Source: Authors’ estimation using data from the CMIE Prowess

Fig. 6

Source: Authors’ estimation using data from the CMIE Prowess. Note: This is estimated by using the non-linear relationship model with pollution loads. Black dashed lines are OLS coefficients, and the continuous lines show the variation

Fig. 7

Source: Authors’ estimation using data from the CMIE Prowess. Note: Mean values of R&D based on FDI for sample firms from 2001 to 2015

Notes

  1. For more information please see https://www.niti.gov.in/verticals/energy.

  2. TFP is estimated using the methodology specified by Levinsohn and Petrin (2003).

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Acknowledgements

We thank the anonymous referees for their useful comments and suggestions. The first author gratefully acknowledge the support from Initiative for Sustainable Energy Policy (ISEP) and ICSR IIT Madras, Chennai on initiating this research. Usual disclaimer applies.

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Authors and Affiliations

  1. Indian Institute of Technology Madras, Chennai, India

    Santosh Kumar Sahu & Prantik Bagchi

  2. EMLYON Business School, Écully, France

    Ajay Kumar

  3. Nottingham University Business School, Nottingham, UK

    Kim Hua Tan

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  1. Santosh Kumar Sahu
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  2. Prantik Bagchi
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Correspondence to Ajay Kumar.

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Table 6 Correlation matrix
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Sahu, S.K., Bagchi, P., Kumar, A. et al. Technology, price instruments and energy intensity: a study of firms in the manufacturing sector of the Indian economy. Ann Oper Res 313, 319–339 (2022). https://doi.org/10.1007/s10479-021-04295-7

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Keywords

  • Energy efficiency
  • Technology
  • Productivity dilemma

JEL Classification

  • L60
  • O44
  • O30
  • Q41
  • Q48