Crude oil price behavior and the adoption of sustainable measures in companies before and after COVID-19

Manuel Monge; Ana Lazcano

doi:10.24294/jipd.v8i11.7406

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Crude oil price behavior and the adoption of sustainable measures in companies before and after COVID-19

Manuel Monge

Ana Lazcano

Journal of Infrastructure Policy and Development 2024, 8(11), 7406; https://doi.org/10.24294/jipd.v8i11.7406

Submitted：24 Jun 2024

Accepted：17 Jul 2024

Published：08 Oct 2024

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Abstract

The objectives achieved in the Paris Agreement to reduce greenhouse gas emissions and reduce dependence on fossil fuels have caused, in recent years, a growing importance on sustainability in companies in order to reduce Environmental, social and economic impacts. This study is focused on understanding how the variation in West Texas Intermediate crude oil prices affects the Dow Jones Sustainability Index, and therefore the companies included in it, and vice versa. The research aims to examine the statistical properties of both indices, using fractional integration methods, the fractional cointegration vector autoregressive (FCVAR) approach and the continuous wavelet transform (CWT) technique. The results warn of a change in trend, with the application of extraordinary measures being necessary to return to the original trend, while the analysis of cointegration and wavelet analysis measures reflect that an increase in those adopted based on sustainability by the different companies that make up the index imply a drop in the price of crude oil.

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References

Abdel, S., Sabry, A. (2005). Quantifying the external cost of oil consumption within the context of sustainable development. Energy Policy, 33(6), 809–813. https://doi.org/10.1016/j.enpol.2003.10.006

Aguiar-Conraria, L., & Joana Soares, M. (2011). Business cycle synchronization and the Euro: A wavelet analysis. Journal of Macroeconomics, 33(3), 477–489. https://doi.org/10.1016/j.jmacro.2011.02.005

Aguiar-Conraria, L., & Joana Soares, M. (n.d.). Available online: https://sites.google.com/site/aguiarconraria/joanasoares-wavelets (accessed on 12 May 2024).

Aguiar-Conraria, L., Azevedo, N., & Soares, M. J. (2008). Using wavelets to decompose the time–frequency effects of monetary policy. Physica A: Statistical Mechanics and Its Applications, 387(12), 2863–2878. https://doi.org/10.1016/j.physa.2008.01.063

Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. Springer, New York, NY.

Akaike, H. (1979). A Bayesian extension of the minimum AIC procedure of autoregressive model fitting. Biometrika, 66(2), 237–242. https://doi.org/10.1093/biomet/66.2.237

Alsharif, S., Faff, R., & Kwok, W. (2018). Oil price shocks and sustainable equity indices: An empirical analysis. Journal of Sustainable Finance & Investment, 8(3), 232-249.

Azhgaliyeva, D., Kapsalyamova, Z., & Mishra, R. (2022). Oil price shocks and green bonds: An empirical evidence. Energy Economics, 112, 106108. https://doi.org/10.1016/j.eneco.2022.106108

Bezerra, P. R. S., Schramm, F., & Schramm, V. B. (2021). A literature review on models for assessing corporate sustainability. International Journal of Sustainable Engineering, 14(6), 1306–1318. https://doi.org/10.1080/19397038.2021.1999531

Breitung, J., & Candelon, B. (2006). Testing for short- and long-run causality: A frequency-domain approach. Journal of Econometrics, 132(2), 363–378. https://doi.org/10.1016/j.jeconom.2005.02.004

Chatterji, A. K., Levine, D. I., & Toffel, M. W. (2009). How Well Do Social Ratings Actually Measure Corporate Social Responsibility?. Journal of Economics & Management Strategy, 18(1), 125–169. https://doi.org/10.1111/j.1530-9134.2009.00210.x

Crowley, P. M., & Mayes, D. G. (2009). How fused is the euro area core? An evaluation of growth cycle co-movement and synchronization using wavelet analysis. Journal of Business and Economic Statistics, 27(2), 271-287.

Cunha, J., Ferreira, J., & Martins, R. (2019). Oil prices and sustainability: The case of the Dow Jones sustainability index. Energy Policy, 129, 308-318.

de Oliveira, U. R., Menezes, R. P., & Fernandes, V. A. (2023). A systematic literature review on corporate sustainability: contributions, barriers, innovations and future possibilities. Environment, Development and Sustainability, 26(2), 3045–3079. https://doi.org/10.1007/s10668-023-02933-7

Dehdashti, P., & Mahani, R. S. (2017). Oil price shocks and sustainability of energy-intensive firms. Journal of Cleaner Production, 141, 1467-1475.

Dickey, D. A., & Fuller, W. A. (1979). Distribution of the Estimators for Autoregressive Time Series with a Unit Root. Journal of the American Statistical Association, 74(366), 427. https://doi.org/10.2307/2286348

Diebold, F. X., & Rudebusch, G. D. (1991). Long memory and persistence in aggregate output. Journal of Monetary Economics, 28(1), 139-162.

Dincer, B., Yavas, B. F., & Onan, S. H. (2018). The impact of the 2008 financial crisis on Dow Jones sustainability index. Journal of Business and Economics Research, 16(2), 53-60.

Dragana, N., Chukwuemeka, N. N., & Ifeoma, O. (2021). Impact of energy price volatility on the sustainability of companies. Journal of Sustainable Finance & Investment, 11(1), 67-80.

Dutta, A., Bouri, E., Dutta, P., et al. (2021). Commodity market risks and green investments: Evidence from India. Journal of Cleaner Production, 318, 128523. https://doi.org/10.1016/j.jclepro.2021.128523

Eccles, R. G., & Serafeim, G. (2013). The performance frontier: Innovating for a sustainable strategy. Harvard Business Review, 91(5), 50-60.

Elliott, G., Rothenberg, T. J., & Stock, J. H. (1996). Efficient Tests for an Autoregressive Unit Root. Econometrica, 64(4), 813. https://doi.org/10.2307/2171846

Friede, G., Busch, T., & Bassen, A. (2015). ESG and financial performance: aggregated evidence from more than 2000 empirical studies. Journal of Sustainable Finance & Investment, 5(4), 210–233. https://doi.org/10.1080/20430795.2015.1118917

Gupta, R., & Bhanja, N. (2017). Oil price shocks, stock market, economic activity, and sustainable development: Evidence from a panel of net oil importing Asian countries. Energy Sources, Part B: Economics, Planning, and Policy, 12(4), 338-347.

Hadian, E., Falahati, B., & Kaviani, A. (2016). Investigating long-run relationships between sustainability index and stock market index in the US. Journal of Sustainable Development, 9(6), 142-148.

Haq, I. U., Nadeem, H., Maneengam, A., et al. (2022). Do Rare Earths and Energy Commodities Drive Volatility Transmission in Sustainable Financial Markets? Evidence from China, Australia, and the US. International Journal of Financial Studies, 10(3), 76. https://doi.org/10.3390/ijfs10030076

Hassler, U., & Wolters, J. (1994). On the power of unit root tests against fractional alternatives. Journal of Econometrics, 63(1), 285-303. https://doi.org/10.1016/0165-1765(94)90049-3

Herzig, C., & Schaltegger, S. (2012). Corporate sustainability reporting: An overview. In: The Oxford Handbook of Corporate Social Responsibility. Oxford University Press.

Javed, S., Younas, M., & Altaf, S. (2019). Predicting Dow Jones sustainability index using artificial neural network. Journal of Cleaner Production, 219, 963-975.

Johansen, S., & Nielsen, B. (2012). Likelihood inference for a non‐stationary fractional autoregressive model. Econometrica, 80(2), 523-553.

Kacperczyk, A., & Hong, H. (2013). The price of sin: The effects of social norms on markets. Journal of Financial Economics, 107(1), 205-225.

Khan, M., Serafeim, G., & Yoon, A. (2016). Corporate Sustainability: First Evidence on Materiality. The Accounting Review, 91(6), 1697–1724. https://doi.org/10.2308/accr-51383

Kim, Y., & Ryu, D. (2019). The effect of oil price shocks on the Dow Jones sustainability world index. Sustainability, 11(4), 1104.

Korkmaz, S., & Akin, E. (2018). An investigation of the effect of crude oil prices on Dow Jones sustainability world index using wavelet neural networks. Journal of Cleaner Production, 172, 2992-3002.

Kwiatkowski, D., Phillips, P. C., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? Journal of econometrics, 54(1-3), 159-178. https://doi.org/10.1016/0304-4076(92)90104-Y

Kyrtsou, C., Labys, W. C., & Serletis, A. (2009). Energy markets: a review of the literature on forecasting prices, volatilities, and spreads. International Journal of Energy and Environmental Economics, 17(3), 1-44.

Lee, J., & Schmidt, P. (1996). On the power of the KPSS test of stationarity against fractionally integrated alternatives. Journal of Econometrics, 73(2), 285-302. https://doi.org/10.1016/0304-4076(95)01741-0

Lin, Y. H., Wu, M. L., & Chang, C. H. (2017). The impact of sustainability on firm value and volatility. Sustainability, 9(9), 1571.

Liu, Y., He, J., & Feng, Y. (2018). Impact of energy prices on sustainable stock indices: An empirical study based on principal component analysis. Sustainability, 10(4), 997.

Maraqa, B., & Bein, M. (2020). Dynamic Interrelationship and Volatility Spillover among Sustainability Stock Markets, Major European Conventional Indices, and International Crude Oil. Sustainability, 12(9), 3908. https://doi.org/10.3390/su12093908

MIT Sloan Management Review. (2017). Sustainability’s strategic worth. Available online: https://sloanreview.mit.edu/article/sustainabilitys-strategic-worth/ (accessed on 12 April 2023).

Morgan Stanley. (2019). Sustainable Signals: New Data from the Individual Investor. Morgan Stanley.

Nam, C. W. (2022). World economic outlook for 2022 and 2023. München: ifo Institut-Leibniz-Institut für Wirtschaftsforschung an der Universität München.

Nekhili, R., Ziadat, S. A., & Mensi, W. (2024). Frequency interdependence and portfolio management between gold, oil and sustainability stock markets. International Economics, 178, 100476. https://doi.org/10.1016/j.inteco.2023.100476

Nguyen, N. P., & Adomako, S. (2021). Stakeholder pressure for eco‐friendly practices, international orientation, and eco‐innovation: A study of small and medium‐sized enterprises in Vietnam. Corporate Social Responsibility and Environmental Management, 29(1), 79–88. https://doi.org/10.1002/csr.2185

Olanipekun, I. O., Ozkan, O., & Olasehinde-Williams, G. (2023). Is renewable energy use lowering resource-related uncertainties? Energy, 271, 126949. https://doi.org/10.1016/j.energy.2023.126949

Olasehinde-Williams, G., Özkan, O., & Akadiri, S. S. (2023). Dynamic risk connectedness of crude oil price and sustainable investment in the United States: evidence from DCC-GARCH. Environmental Science and Pollution Research, 30(41), 94976–94987. https://doi.org/10.1007/s11356-023-29008-4

Peng, L., & Liang, C. (2023). Sustainable development during the post-COVID-19 period: Role of crude oil. Resources Policy, 85, 103843. https://doi.org/10.1016/j.resourpol.2023.103843

Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. https://doi.org/10.1093/biomet/75.2.335

Scholtens, B. (2007). Financial and Social Performance of Socially Responsible Investments in the Netherlands. Corporate Governance: An International Review, 15(6), 1090–1105. https://doi.org/10.1111/j.1467-8683.2007.00633.x

Sha, Z. (2022). Total natural resources, oil prices, and sustainable economic performance: Evidence from global data. Resources Policy, 79, 103046. https://doi.org/10.1016/j.resourpol.2022.103046

Soni, R. K., Nandan, T., & Sawarn, U. (2024). Investment modeling between energy futures and responsible investment. Research in International Business and Finance, 70, 102373. https://doi.org/10.1016/j.ribaf.2024.102373

Sowell, F. (1992). Maximum likelihood estimation of stationary univariate fractionally integrated time series models. Journal of Econometrics, 53, 165-88. https://doi.org/10.1016/0304-4076(92)90084-5

Steckel, J. C., & Jakob, M. (2022). To end coal, adapt to regional realities. Nature, 607(7917), 29–31. https://doi.org/10.1038/d41586-022-01828-3

Uddin, G. S., Alam, M. M., & Murad, M. W. (2020). The impact of oil price fluctuations on the sustainability of the US economy. Energy Sources, Part B: Economics, Planning, and Policy, 15(1), 17-27.

Vasiljeva, M. V., Ponkratov, V. V., Vatutina, L. A., et al. (2022). Crude Oil Market Functioning and Sustainable Development Goals: Case of OPEC++-Participating Countries. Sustainability, 14(8), 4742. https://doi.org/10.3390/su14084742

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