Business & Management Studies, Trending Research

Exploring the relationship of ESG score and firm value using cross-lagged panel analyses: case of the Indian energy sector

ESG score

In light of the linkage of the Environment, Social, and Governance factors (ESG score) to corporate financial performance, the findings of this research could be beneficial for investors, fund managers, policymakers, and energy company managers.

Authors

Abhishek Behl, Assistant Professor, Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, India.

P. S. Raghu Kumari, K. J. Somaiya Institute of Management, Mumbai, India.

Harnesh Makhija, K. J. Somaiya Institute of Management, Mumbai, India.

Dipasha Sharma, Symbiosis Centre for Management and Human Resource Development, Symbiosis International (Deemed University), Pune, India.

Summary

Business integration with the internal and external world is gaining momentum in the light of Environment, Social, and Governance factors (ESG score) linkage to corporate financial performance (CFP). 

However, the impact of the ESG–CFP relationship varies across economies, industries, and institutional frameworks due to varying legal, social structures and expectations from stakeholders. 

The present study aims to test the bidirectional causality and autoregression effects between ESG disclosures and the firm value of Indian energy sector companies’ data using a four-wave cross-lagged panel structural equation modeling. 

Results indicate that the relationship is not bidirectional in the overall and individual elements of ESG to firm value. The authors find AR effects to be stable, and there is a negative association found in the first two lags and a positive association found in the last lag. 

Research findings are beneficial for investors, fund managers, policymakers, and energy company managers. The researchers further provide direction to executives on ESG investment and practices and lag period to reap the benefit of such investments through firm value.

Published in: Annals of Operations Research

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