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Sustainability and low-carbon transition toward US oil and gas companies’ efficiencies

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Abstract

A global imperative for climate change has constrained a fundamental shift in the energy sector towards sustainable and low-carbon practices. The important first step towards sustainability involves assessing the environmental and operational efficiency and sustainability of companies. This study uses a true fixed-effect model to analyse operational and environmental efficiency for 53 oil and gas companies during 2000–2022 in United States. This study also explores the impact of U.S. energy transition policy on the OGCs’ efficiency, considering the US administrations' contradictory priorities regarding sustainability and low-carbon transition policy. The findings reveal a convergence in the level of operational and environmental efficiency, with similar trends and reduced gaps over the study period, except in crises periods, as both influenced by economic activity levels and the Covid-19 pandemic. The results highlight a discernible trend among U.S. OGCs towards reduced CO2 emissions in recent years. Moreover, the research indicates that U.S. energy transition policy and increased power generation from new renewables capacity, primarily wind and solar, contribute to promote environmental efficiency.

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Data availability

All data used in this study are available in the Thomson financial databases and in the NYSE Energy index and also the U.S. Energy Information Administration.

References

  • Atris, A. M., & Goto, M. (2019). Vertical structure and efficiency assessment of the US oil and gas companies. Resources Policy, 63, 101437.

    Article  Google Scholar 

  • Battese, G., & Coelli, T. (1988). Prediction of firm level efficiencies with a generalized frontier production function and panel data. Journal of Econometrics, 38, 387–399.

    Article  Google Scholar 

  • Battese, G., Coelli, T., 1992. Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India. Journal of Productivity Analysis l3, 153–169.

  • Battese, G., & Coelli, T. (1995). A model of technical inefficiency effects in stochastic frontier production for panel data. Empirical Economics, 20, 325–332.

    Article  Google Scholar 

  • Eller, L., Hartley, R., & Medlock, K. (2010). Empirical evidence on the operational efficiency of national oil companies. Empirical Economics, 40, 623–643.

    Article  Google Scholar 

  • Greene, W. (2004). Distinguishing between heterogeneity and inefficiency: Stochastic frontier analysis of the world health organization’s panel data on national health care systems. Health Economics, 13, 959–980.

    Article  Google Scholar 

  • Greene, W. (2005a). Reconsidering heterogeneity in panel data estimators of the stochastic frontier model. Journal of Econometrics, 126, 269–303.

    Article  Google Scholar 

  • Greene, W. (2005b). Fixed and random effects in stochastic frontier models. Journal of Productivity Analysis, 23(1), 7–32.

    Article  Google Scholar 

  • Greene, W. (2008). The Measurement of Productive Efficiency and Productivity Change. Oxford University Press.

    Google Scholar 

  • Hartmann., Julia, Andrew, C., Inkpen., Kannan, Ramaswamy. (2021). Different shades of green: Global oil and gas companies and renewable energy. Journal of International Business Studies, 52(5), 879–903. https://doi.org/10.1057/S41267-020-00326-W

    Article  Google Scholar 

  • Jarboui, S. (2022). Operational and environmental efficiency of U.S. oil and gas companies towards energy transition policies: A comparative empirical analysis. Australian Economic Papers, 1–24.

  • Jarboui, S. (2016). Managerial psychology and transport firms efficiency: A stochastic frontier analysis. Review of Managerial Science, 10, 365–379.

    Article  Google Scholar 

  • Jarboui, S. (2021). Renewable energies and operational and environmental efficiencies of the US oil and gas companies: a true fixed effect model. Energy Reports, 7, 8667–8676.

    Article  Google Scholar 

  • Jarboui, S., Forget, P., & Boujelbene, Y. (2015). Efficiency evaluation in public road transport: A stochastic frontier analysis. Transport, 30(1), 1–14.

    Article  Google Scholar 

  • Kashef, M. A. Attia, M. Z. Kamh and M. Abdel-Rahman, “Techno-Economic Analysis of Renewable Energy Application in Oil and Gas Industry: A Case Study,.” (2022). 23rd International Middle East Power Systems Conference (MEPCON). Cairo, Egypt, 2022, 1–6. https://doi.org/10.1109/MEPCON55441.2022.10021779

    Article  Google Scholar 

  • Lanoie, P., Patry, M., & Lajeunesse, R. (2008). Environmental regulation and productivity: new findings on the porter hypothesis. Journal of Productivity Analysis, 30, 121–128.

    Article  Google Scholar 

  • Liang, B., & Wang, H. (2013). Power game: The micro politics in the industry that is transforming: Taking Chinese petroleum industry market participation pattern change as an example. Management World, 7, 80–93.

    Google Scholar 

  • Lu, H., Guo, L., & Zhang, Y. (2019). Oil and gas companies’ low-carbon emission transition to integrated energy companies. Science of the Total Environment, 686, 1202–1209.

    Article  CAS  Google Scholar 

  • Mrabet, A., & Jarboui, S. (2017). Do institutional factors affect the efficiency of GDP and CO2 emission? evidence from gulf and maghreb countries. International Journal of Global Energy Issues, 40(5), 259–276.

    Article  Google Scholar 

  • Pitt, M., & Lee, L. (1981). The measurement and sources of technical inefficiency in the Indonesian weaving industry. Journal of Development Economics, 9, 43–64.

    Article  Google Scholar 

  • Romasheva, Natalya, and Alina Cherepovitsyna. (2023). Renewable energy sources in decarbonization: the case of foreign and russian oil and gas companies. Sustainability 15(9): 7416. https://doi.org/10.3390/su15097416

  • Sueyoshi, T., & Goto, M. (2012a). Returns to scale and damages to scale under natural and managerial disposability: Strategy, efficiency and competitiveness of petroleum firms. Energy Economics, 34, 645–662.

    Article  Google Scholar 

  • Sueyoshi, T., & Goto, M. (2012b). Data envelopment analysis for environmental assessment: Comparison between public and private ownership in petroleum industry. European Journal of Operational Research, 216, 668–678.

    Article  Google Scholar 

  • Sueyoshi, T., & Wang, D. (2014). Sustainability development for supply chain management in U.S. petroleum industry by DEA environmental assessment. Energy Economics, 46, 360–374.

    Article  Google Scholar 

  • Sueyoshi, T., Wang, D., (2018). DEA environmental assessment on US petroleum industry: Non-radial approach with translation invariance in time horizon. Energy Economics, 72(C), 276–289

  • Sun, C., Luo, Y., Huang, Y., & Ouyang, X. (2017). A comparative study on the production efficiencies of China’s oil companies: A true fixed effect model considering the unobserved heterogeneity. Journal of Cleaner Production, 154, 341–352.

    Article  Google Scholar 

  • Thompson, R. G., Lee, E., & Thrall, R. M. (1992). DEA/AR-Efficiency of U.S. independent oil/gas producers over time. Computers & Operations Research, 19, 377–391.

    Article  Google Scholar 

  • U.S. Energy Information Administration. (2019). U.S. Energy-Related carbon dioxide emissions, 2018. https://www.eia.gov/totalenergy/data/annual/index.php, Accessed date: 25 May 2020

  • U.S. Energy Information Administration. (2020). Annual Energy Review. https://www.eia.gov/totalenergy/data/annual/index.php, Accessed date: 15 April 2020.

  • U.S. Energy Information Administration, (2020). In 2019, U.S. energy production exceeded consumption for the first time in 62 years. https://www.eia.gov/todayinenergy/detail.php?id=43515, Accessed date: 17 May 2020

  • U.S. Energy Information Administration, 2023. Annual energy outlook. (2023). https://www.eia.gov/outlooks/aeo/, Accessed date: 15 September 2023.

  • U.S. Energy Information Administration, (2023). U.S. Energy-Related Carbon Dioxide Emissions, 2022. https://www.eia.gov/environment/emissions/carbon/, Accessed date: 25 November 2023.

  • Wagner, M. 2005. Sustainability and competitive advantage: Empirical evidence on the influence of strategic choices between environmental management approaches. Environmental Quality Management, Spring: 31–48.

  • Wang, H. J., & Ho, C. W. (2010). Estimating fixed-effect panel stochastic frontier models by model transformation. Journal of Econometrics, 157, 286–296.

    Article  Google Scholar 

  • Wang, Q., Su, B., Sun, J., Zhou, P., & Zhou, D. (2015). Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities. Applied Energy, 151, 85–92.

    Article  Google Scholar 

  • Yu, M., & Shen, J. (2010). Regional heterogeneity and innovation efficiency: An empirical research based on the stochastic frontier model. China Soft Sci., 11, 182–192.

    Google Scholar 

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Acknowledgements

Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2024R548), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

Funding

Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2024R548), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia, Hind Alofaysan.

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Correspondence to Sami Jarboui.

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Jarboui, S., Alofaysan, H. Sustainability and low-carbon transition toward US oil and gas companies’ efficiencies. Environ Dev Sustain (2024). https://doi.org/10.1007/s10668-024-04945-3

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