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The impact of climate policy uncertainty on ESG performance, carbon emission intensity and firm performance: evidence from Fortune 1000 firms

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Abstract

ESG performance has become vital for business in recent years. Consumers, stakeholders and investors alike seek companies that can show that they are environmentally and socially responsible, especially in periods of uncertainty. Using a new measure of uncertainty, the Climate Policy Uncertainty Index developed by Gavriilidis (Measuring climate policy uncertainty, 2021), this study investigates environmental, social and governance (ESG) performance, firm performance and carbon dioxide emission performance in the context of major developments related to climate policy and events. Further, the study provides insights into how ESG performance moderates the impact of climate policy uncertainty on firm performance and carbon dioxide emission performance. Finally, this paper examines how investor sentiment influences ESG performance during periods of high uncertainty. Based on a large sample of 2640 firms (6462 firm-year observations) from the US Fortune 1000 list covering the years 2008–2018, the empirical results demonstrate that climate policy uncertainty positively affects ESG performance and negatively affects firm performance and carbon dioxide emission performance. In addition, we find that firms enhance their ESG performance when investors are pessimistic, especially during periods of high uncertainty. Finally, we show that ESG performance does not moderate the effects of climate policy uncertainty on firm performance and carbon dioxide emission performance. These findings may help managers and policymakers to boost ESG performance to reap the benefits of ESG activities during periods of uncertainty related to changes in climate policy. Further, the results identify a promising channel via investor power that the government and ESG reporting advocates can utilise to encourage firms to act responsibly during periods of uncertainty.

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Fig. 1

Source: Gavriilidis (2021)

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Notes

  1. The corruption control reflects perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as the ‘capture’ of the state by elites and private interests. The estimate provides the country’s score on the aggregate indicator, in units of a standard normal distribution (i.e. ranging from approximately − 2.5 to 2.5).

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Funding

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Authors and Affiliations

Authors

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Correspondence to Antonios Persakis.

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Conflict of interest

None, no conflict of interest.

Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Appendix A: Variables for the study

Appendix A: Variables for the study

Measure

Operationalization

Source

CEPit

Carbon emission performance measured by firm-level carbon dioxide emission intensity, as presented in Sect. 3.2.5

Datastream

CIit

Capital intensity measured as the fixed assets divided by sales

Datastream

CORIt

Level of corruption measures the annual country's level of corruption

Official site of world bank

CRit

Cash ratio measured as the total cash holdings divided by current liabilities

Datastream

CUIt

Climate policy uncertainty developed by Gavriilidis (2021), as presented in Sect. 3.2.1

Official site of policy uncertainty

DYit

Dividend yield measured by the annual dividends per share divided by price per share

Datastream

ECNit

Economic sustainability performance is an index obtained from Thomson Reuters

Datastream

EFFit

Efficiency measured by the cost of goods sold divided by average inventory

Datastream

EIit

Export intensity measured as the natural logarithm of total export divided by total sales

Datastream

ENIIt

Energy intensity measured as the energy consumption divided by GDP

Official site of statista

ESGit

ESG performance is the Thomson Reuters ESG performance index, as presented in Sect. 3.2.2

Datastream

FAit

Firm age is the number of years that a firm has been in operation

Datastream

FDIIt

Foreign direct investment measures the annual country's foreign direct investment

Official site of OECD

FSit

Firm size measured by natural logarithm of the firm's total assets

Datastream

GDPIt

Economic development measures the annual percentage growth rate of GDP

Official site of OECD

INRIt

Interest rate measures the annual country's interest rate

Official site of OECD

IRIt

Inflation rate measures the annual country's inflation rate

Official site of OECD

ISGIt

Industrial share of growth measures the industrial value added to GDP per year expressed as a percentage

Official site of OECD

ISit

Investor sentiment developed by Aboody et al. (2018), as presented in Sect. 3.2.3

Datastream

LEVit

Leverage measured by the total liabilities divided by shareholder's equity

Datastream

LIit

Labor intensity measured by the natural logarithm of total wages divided by total sales

Datastream

LRit

Liquidity measured by the current assets divided by current liabilities

Datastream

MTBit

Market-to-book ratio measured by the market value divided by book value of the firm’s equity

Datastream

ROAit

Return on assets measured by the net profit divided by total assets

Datastream

ROEit

Firm performance measured by the return on equity as presented in Sect. 3.2.4

Datastream

TANit

Tangibility measured by the fixed assets divided by total assets

Datastream

TIIt

Technological innovation measured by the total end of the year number of patents

Official site of statista

TPIt

Total population measured by the natural logarithm of the total population

Official site of OECD

UPIt

Urban population measures the percentage of the total population lives in urban areas

Official site of world bank

URIt

Unemployment rate measures the annual country's level of unemployment rate

Official site of OECD

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Persakis, A. The impact of climate policy uncertainty on ESG performance, carbon emission intensity and firm performance: evidence from Fortune 1000 firms. Environ Dev Sustain (2023). https://doi.org/10.1007/s10668-023-03634-x

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