Skip to main content
Log in

How do conventional, Islamic and green bonds idiosyncratically differ when it comes to their inherent nonlinear reliance on carbon emission future price? A novel approach to greenwashing detection

  • Published:
Environment, Development and Sustainability Aims and scope Submit manuscript

Abstract

A new generation of heterogeneous financing tools is designed to support responsible firms to develop sustainable projects. Also, carbon pricing as the most convenient environmental factor could help eco-friendly assets by creating a more environmentally friendly environment while altering the cost competitiveness of various industries. This paper compared the intrinsic nonlinear associations of carbon emission future price and green bonds (consisting of rigorously screened and green-labeled), with conventional sovereign bonds (in two versions of emerging and developed) and Islamic bonds (including normal and high-quality types). Applying an Elman neural network evaluation to the pairwise connectedness of each bond and carbon market during the period of 12/31/2012 to 8/4/2023, we found that with the exception of emerging sovereign bonds which are tightly related to the carbon market, both green-labeled and extra-financial eligible green bonds have more robust innate nonlinear linkages with the carbon market than developed conventional sovereign bonds and both Islamic versions. Moreover, the results show that extra-financial screening is more effective than the green-labeling process for create a more trustworthy affiliation with the carbon future market. By analyzing the results, policymakers and regulators can develop new indicators to detect and track greenwashing possibilities in environmentally friendly assets.

Graphical Abstract

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Data availability

The datasets used during the current study are available from the website and are available on request.

Notes

  1. For more information, see: https://www.bloomberg.com/news/articles/2023-07-27/sustainable-bond-issuance-to-hit-950-billion-in-2023-moody-s#:~:text=Sustainable%20Bond%20Issuance%20to%20Hit%20%24950%20Billion%20in%202023%2C%20Moody's%20Says&text=Global%20sustainable%20bond%20issuance%20in,according%20to%20Moody's%20Investors%20Service.

References

  • Abban, O. J., Xing, Y. H., Nuţă, A. C., Nuţă, F. M., Borah, P. S., Ofori, C., & Jing, Y. J. (2023). Policies for carbon-zero targets: Examining the spillover effects of renewable energy and patent applications on environmental quality in Europe. Energy Economics, 126, 106954.

    Article  Google Scholar 

  • Abbasi, K. R., Kirikkaleli, D., & Altuntaş, M. (2022). Carbon dioxide intensity of GDP and environmental degradation in an emerging country. Environmental Science and Pollution Research, 29(56), 84451–84459.

    Article  Google Scholar 

  • Abdullah, M. S., & Keshminder, J. (2022). What drives green sukuk? A leader’s perspective. Journal of Sustainable Finance & Investment, 12(3), 985–1005.

    Article  Google Scholar 

  • Alam, N., Duygun, M., & Ariss, R. T. (2016). Green sukuk: An innovation in Islamic capital markets. Energy and finance: Sustainability in the energy industry (pp. 167–185). Springer.

    Chapter  Google Scholar 

  • Ali, Q., Rusgianto, S., Parveen, S., Yaacob, H., & Zin, R. M. (2023). An empirical study of the effects of green Sukuk spur on economic growth, social development, and financial performance in Indonesia. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-023-03520-6

    Article  Google Scholar 

  • Angelsen, A., & Rudel, T. K. (2013). Designing and implementing effective REDD+ policies: A forest transition approach. Review of Environmental Economics and Policy. https://doi.org/10.1093/reep/res022

    Article  Google Scholar 

  • Antonakakis, N., Chatziantoniou, I., & Gabauer, D. (2020). Refined measures of dynamic connectedness based on time-varying parameter vector autoregressions. Journal of Risk and Financial Management, 13(4), 84.

    Article  Google Scholar 

  • Antonakakis, N., Cunado, J., Filis, G., Gabauer, D., & de Gracia, F. P. (2023). Dynamic connectedness among the implied volatilities of oil prices and financial assets: New evidence of the COVID-19 pandemic. International Review of Economics & Finance, 83, 114–123.

    Article  Google Scholar 

  • Appiah, K., Du, J., & Poku, J. (2018). Causal relationship between agricultural production and carbon dioxide emissions in selected emerging economies. Environmental Science and Pollution Research, 25, 24764–24777.

    Article  Google Scholar 

  • Bakirtas, T., & Akpolat, A. G. (2018). The relationship between energy consumption, urbanization, and economic growth in new emerging-market countries. Energy, 147, 110–121.

    Article  Google Scholar 

  • Baldi, F., & Pandimiglio, A. (2022). The role of ESG scoring and greenwashing risk in explaining the yields of green bonds: A conceptual framework and an econometric analysis. Global Finance Journal, 52, 100711. https://doi.org/10.1016/j.gfj.2022.100711

    Article  Google Scholar 

  • Banga, J. (2019). The green bond market: A potential source of climate finance for developing countries. Journal of Sustainable Finance & Investment, 9(1), 17–32.

    Article  Google Scholar 

  • Barua, S., & Chiesa, M. (2019). Sustainable financing practices through green bonds: What affects the funding size? Business Strategy and the Environment, 28(6), 1131–1147.

    Article  Google Scholar 

  • Bhat, J. A. (2018). Renewable and non-renewable energy consumption—impact on economic growth and CO2 emissions in five emerging market economies. Environmental Science and Pollution Research, 25(35), 35515–35530.

    Article  CAS  Google Scholar 

  • Bricker, B., & Justice, J. (2022). Identifying and Challenging Greenwashing through Conciliatio. Western Journal of Communication, 86(4), 521–540. https://doi.org/10.1080/10570314.2022.2087893

    Article  Google Scholar 

  • Cao, Q., Zhou, Y., Du, H., Ren, M., & Zhen, W. (2022). Carbon information disclosure quality, greenwashing behavior, and enterprise value. Frontiers in Psychology, 13, 892415. https://doi.org/10.3389/fpsyg.2022.892415

    Article  Google Scholar 

  • Cetin, M. A., & Bakirtas, I. (2020). The long-run environmental impacts of economic growth, financial development, and energy consumption: Evidence from emerging markets. Energy & Environment, 31(4), 634–655.

    Article  CAS  Google Scholar 

  • Chen, L., Liu, S., Liu, X., & Wang, J. (2022). The carbon emissions trading scheme and corporate environmental investments: A Quasi-natural experiment from China. Emerging Markets Finance and Trade, 58(9), 2670–2681.

    Article  Google Scholar 

  • Cheong, C., & Choi, J. (2020). Green bonds: A survey. Journal of Derivatives and Quantitative Studies, 28(4), 175–189. https://doi.org/10.1108/JDQS-09-2020-0024

    Article  Google Scholar 

  • Chevallier, J. (2009). Carbon futures and macroeconomic risk factors: A view from the EU ETS. Energy Economics, 31(4), 614–625.

    Article  Google Scholar 

  • Chopra, M., Mehta, C., & Srivastava, A. (2021). Inflation-linked bonds as a separate asset class: Evidence from emerging and developed markets. Global Business Review, 22(1), 219–235. https://doi.org/10.1177/0972150918807015

    Article  Google Scholar 

  • Coates, V., Farooque, M., Klavans, R., Lapid, K., Linstone, H. A., Pistorius, C., & Porter, A. L. (2001). On the future of technological forecasting. Technological Forecasting and Social Change, 67(1), 1–17.

    Article  Google Scholar 

  • Crecente, F., Sarabia, M., & del Val, M. T. (2021). Climate change policy and entrepreneurial opportunities. Technological Forecasting and Social Change, 163, 120446.

    Article  Google Scholar 

  • Cui, L. B., Fan, Y., Zhu, L., & Bi, Q. H. (2014). How will the emissions trading scheme save cost for achieving China’s 2020 carbon intensity reduction target? Applied Energy, 136, 1043–1052.

    Article  Google Scholar 

  • Deschryver, P., & De Mariz, F. (2020). What future for the green bond market? How can policymakers, companies, and investors unlock the potential of the green bond market? Journal of Risk and Financial Management, 13(3), 61.

    Article  Google Scholar 

  • Diebold, F. X., & Yılmaz, K. (2014). On the network topology of variance decompositions: Measuring the connectedness of financial firms. Journal of Econometrics, 182(1), 119–134.

    Article  Google Scholar 

  • Dorfleitner, G., Utz, S., & Zhang, R. (2022). The pricing of green bonds: External reviews and the shades of green. Review of Managerial Science, 16, 797–834. https://doi.org/10.1007/s11846-021-00458-9

    Article  Google Scholar 

  • Du, W., & Li, M. (2020). Assessing the impact of environmental regulation on pollution abatement and collaborative emissions reduction: Micro-evidence from Chinese industrial enterprises. Environmental Impact Assessment Review, 82, 106382.

    Article  Google Scholar 

  • Du, X. (2015). How the market values greenwashing? Evidence from China. Journal of Business Ethics, 128, 547–574. https://doi.org/10.1007/s10551-014-2122-y

    Article  Google Scholar 

  • Elman, J. L. (1990). Finding structure in time. Cognitive Science, 14(2), 179–211. https://doi.org/10.1016/0364-0213(90)90002-E

    Article  Google Scholar 

  • Fang, J., Gozgor, G., Mahalik, M. K., Mallick, H., & Padhan, H. (2022a). Does urbanisation induce renewable energy consumption in emerging economies? The role of education in energy switching policies. Energy Economics, 111, 106081.

    Article  Google Scholar 

  • Fang, K., Li, C., Tang, Y., He, J., & Song, J. (2022b). China’s pathways to peak carbon emissions: New insights from various industrial sectors. Applied Energy, 306, 118039.

    Article  Google Scholar 

  • Fatica, S., & Panzica, R. (2021). Green bonds as a tool against climate change? Business Strategy and the Environment. https://doi.org/10.1002/bse.2771

    Article  Google Scholar 

  • Flammer, C. (2021). Corporate green bonds. Journal of Financial Economics, 142(2), 499–516.

    Article  Google Scholar 

  • Guo, L. Y., & Feng, C. (2021). Are there spillovers among China’s pilots for carbon emission allowances trading? Energy Economics, 103, 105574.

    Article  Google Scholar 

  • Ha, L. T. (2023). Dynamic interlinkages between the crude oil and gold and stock during Russia–Ukraine war: Evidence from an extended TVP-VAR analysis. Environmental Science and Pollution Research, 30(9), 23110–23123.

    Article  Google Scholar 

  • Hammoudeh, S., Ajmi, A. N., & Mokni, K. (2020). Relationship between green bonds and financial and environmental variables: A novel time-varying causality. Energy Economics, 92, 104941.

    Article  Google Scholar 

  • Han, M., Han, B., Xi, J., & Hirasawa, K. (2006). Universal learning network and its application for nonlinear system with long time delay. Computers & Chemical Engineering, 31(1), 13–20. https://doi.org/10.1016/j.compchemeng.2006.04.004

    Article  CAS  Google Scholar 

  • Hao, Y., Xu, T., Hu, H., Wang, P., & Bai, Y. (2020). Prediction and analysis of corona virus disease 2019. PLoS ONE, 15(10), e0239960. https://doi.org/10.1371/journal.pone.0239960

    Article  CAS  Google Scholar 

  • Hosan, S., Karmaker, S. C., Rahman, M. M., Chapman, A. J., & Saha, B. B. (2022). Dynamic links among the demographic dividend, digitalization, energy intensity and sustainable economic growth: Empirical evidence from emerging economies. Journal of Cleaner Production, 330, 129858.

    Article  Google Scholar 

  • Howie, P., Gupta, S., Park, H., & Akmetov, D. (2020). Evaluating policy success of emissions trading schemes in emerging economies: Comparing the experiences of Korea and Kazakhstan. Climate Policy, 20(5), 577–592.

    Article  Google Scholar 

  • Hu, Y., Lang, C., Corbet, S., Hou, Y. G., & Oxley, L. (2023). Exploring the dynamic behaviour of commodity market tail risk connectedness during the negative WTI pricing event. Energy Economics, 125, 106829.

    Article  Google Scholar 

  • Huang, W., Wang, Q., Li, H., Fan, H., Qian, Y., & Klemeš, J. J. (2022). Review of recent progress of emission trading policy in China. Journal of Cleaner Production, 349, 131480.

    Article  CAS  Google Scholar 

  • Immel, M., Hachenberg, B., Kiesel, F., & Schiereck, D. (2022). Green bonds: Shades of green and brown. Risks related to environmental, social and governmental issues (ESG) (pp. 21–34). Cham: Springer.

    Chapter  Google Scholar 

  • In, S. Y., & Schumacher, K. (2021). Carbonwashing: A new type of carbon data-related ESG greenwashing. Available at SSRN 3901278.

  • Jain, K., Gangopadhyay, M., & Mukhopadhyay, K. (2022). Prospects and challenges of green bonds in renewable energy sector: Case of selected Asian economies. Journal of Sustainable Finance & Investment. https://doi.org/10.1080/20430795.2022.2034596

    Article  Google Scholar 

  • Jang, J., Baek, J., & Leigh, S.-B. (2019). Prediction of optimum heating timing based on artificial neural network by utilizing BEMS data. Journal of Building Engineering, 22, 66–74. https://doi.org/10.1016/j.jobe.2018.11.012

    Article  Google Scholar 

  • Jaspal, M. (2023). Towards effective carbon trading markets for emerging economies: The evolving Indian experience. Observer Research Foundation, 9, 95.

    Google Scholar 

  • Jin, J., Han, L., Wu, L., & Zeng, H. (2020). The hedging effect of green bonds on carbon market risk. International Review of Financial Analysis, 71, 101509.

    Article  Google Scholar 

  • Jin, T., & Kim, J. (2019). A comparative study of energy and carbon efficiency for emerging countries using panel stochastic frontier analysis. Scientific Reports, 9(1), 6647.

    Article  Google Scholar 

  • Jürgens, I., Schlamadinger, B., & Gomez, P. (2006). Bioenergy and the CDM in the emerging market for carbon credits. Mitigation and Adaptation Strategies for Global Change, 11, 1051–1081.

    Article  Google Scholar 

  • Karpf, A., & Mandel, A. (2018). The changing value of the ‘green’label on the US municipal bond market. Nature Climate Change, 8(2), 161–165.

    Article  Google Scholar 

  • Keshminder, J., Abdullah, M. S., & Mardi, M. (2022). Green Sukuk–Malaysia surviving the bumpy road: Performance, challenges and reconciled issuance framework. Qualitative Research in Financial Markets, 14(1), 76–94.

    Article  Google Scholar 

  • Ko, Y. C., Zigan, K., & Liu, Y. L. (2021). Carbon capture and storage in South Africa: A technological innovation system with a political economy focus. Technological Forecasting and Social Change, 166, 120633.

    Article  Google Scholar 

  • Koop, G., Pesaran, M. H., & Potter, S. M. (1996). Impulse response analysis in nonlinear multivariate models. Journal of Econometrics, 74(1), 119–147.

    Article  Google Scholar 

  • KvasničkováStanislavská, L., Pilař, L., Vogli, X., Hlavsa, T., Kuralová, K., Feenstra, A., & Rosak-Szyrocka, J. (2023). Global analysis of Twitter communication in corporate social responsibility area: sustainability, climate change, and waste management. PeerJ Computer Science, 9, e1390.

    Article  Google Scholar 

  • Li, H., Zhou, D., Hu, J., & Guo, L. (2022a). Dynamic linkages among oil price, green bond, carbon market and low-carbon footprint company stock price: Evidence from the TVP-VAR model. Energy Reports, 8, 11249–11258.

    Article  Google Scholar 

  • Li, J., Fang, L., Chen, S., & Mao, H. (2022b). Can low-carbon pilot policy improve atmospheric environmental performance in China? A quasi-natural experiment approach. Environmental Impact Assessment Review, 96, 106807.

    Article  Google Scholar 

  • Lin, J.-D. (2023). Explaining the quality of green bonds in China. Journal of Cleaner Production, 406, 136893. https://doi.org/10.1016/j.jclepro.2023.136893

    Article  Google Scholar 

  • Lin, W. M., & Hong, C. M. (2011). A new Elman neural network-based control algorithm for adjustable-pitch variable-speed wind-energy conversion systems. IEEE Transactions on Power Electronics, 26(2), 473–481. https://doi.org/10.1109/TPEL.2010.2085454

    Article  Google Scholar 

  • Liu, F. H., & Lai, K. P. (2021). Ecologies of green finance: Green sukuk and development of green Islamic finance in Malaysia. Environment and Planning a: Economy and Space, 53(8), 1896–1914.

    Article  Google Scholar 

  • Liu, H., Li, X., & Wang, S. (2021). A bibliometric analysis of 30 years of platform research: Developing the research agenda for platforms, the associated technologies and social impacts. Technological Forecasting and Social Change, 169, 120827.

    Article  Google Scholar 

  • Lloyd, B., & Subbarao, S. (2009). Development challenges under the clean development mechanism (CDM)—can renewable energy initiatives be put in place before peak oil? Energy Policy, 37(1), 237–245.

    Article  Google Scholar 

  • Lorente, D. B., Mohammed, K. S., Cifuentes-Faura, J., & Shahzad, U. (2023). Dynamic connectedness among climate change index, green financial assets and renewable energy markets: Novel evidence from sustainable development perspective. Renewable Energy, 204, 94–105.

    Article  Google Scholar 

  • Luo, X. J. (2020). A novel clustering-enhanced adaptive artificial neural network model for predicting day-ahead building cooling demand. Journal of Building Engineering, 32, 101504. https://doi.org/10.1016/j.jobe.2020.101504

    Article  Google Scholar 

  • Lyon, T. P., & Maxwell, J. W. (2011). Greenwash: Corporate environmental disclosure under threat of audit. Journal of Economics & Management Strategy, 20(1), 3–41.

    Article  Google Scholar 

  • Lyon, T. P., & Montgomery, A. W. (2015). The means and end of greenwash. Organization & Environment, 28(2), 223–249.

    Article  Google Scholar 

  • Matthews, R. B., van Noordwijk, M., Lambin, E., Meyfroidt, P., Gupta, J., Verchot, L., & Veldkamp, E. (2014). Implementing REDD+ (reducing emissions from deforestation and degradation): Evidence on governance, evaluation and impacts from the REDD-ALERT project. Mitigation and Adaptation Strategies for Global Change, 19, 907–925.

    Article  Google Scholar 

  • Moghul, U. F., & Safar-Aly, S. H. (2014). Green sukuk: The introduction of Islam’s environmental ethics to contemporary Islamic finance. Georgetown International Environmental Law Review, 27, 1.

    Google Scholar 

  • Musari, K., & Hidayat, S. E. (2023). The role of green sukuk in maqasid al-shariah and SDGs: Evidence from Indonesia. Islamic finance, fintech, and the road to sustainability: Reframing the approach in the post-pandemic era (pp. 181–203). Springer.

    Chapter  Google Scholar 

  • Naeem, M. A., Sadorsky, P., & Karim, S. (2023). Sailing across climate-friendly bonds and clean energy stocks: An asymmetric analysis with the Gulf cooperation council stock markets. Energy Economics, 126, 106911.

    Article  Google Scholar 

  • Nautiyal, H. (2012). Progress in renewable energy under clean development mechanism in India. Renewable and Sustainable Energy Reviews, 16(5), 2913–2919.

    Article  Google Scholar 

  • Nemes, N., Scanlan, S. J., Smith, P., Smith, T., Aronczyk, M., Hill, S., & Stabinsky, D. (2022). An integrated framework to assess greenwashing. Sustainability, 14(8), 4431.

    Article  Google Scholar 

  • Ottonelli, J., Lazaro, L. L. B., Andrade, J. C. S., & Abram, S. (2023). Do solar photovoltaic clean development mechanism projects contribute to sustainable development in Latin America? Prospects for the Paris agreement. Energy Policy, 174, 113428.

    Article  Google Scholar 

  • Pan, M., Zhao, X., Rosak-Szyrocka, J., Mentel, G., & Truskolaski, T. (2023). Internet development and carbon emission-reduction in the era of digitalization: Where will resource-based cities go? Resources Policy, 81, 103345.

    Article  Google Scholar 

  • Pang, L., Zhu, M. N., & Yu, H. (2022). Is green finance really a blessing for green technology and carbon efficiency? Energy Economics, 114, 106272. https://doi.org/10.1016/j.eneco.2022.106272

    Article  Google Scholar 

  • Parguel, B., Benoit-Moreau, F., & Russell, C. A. (2015). Can evoking nature in advertising mislead consumers? The power of ‘executional greenwashing’. International Journal of Advertising, 34(1), 107–134.

    Article  Google Scholar 

  • Pesaran, H. H., & Shin, Y. (1998). Generalized impulse response analysis in linear multivariate models. Economics Letters, 58(1), 17–29.

    Article  Google Scholar 

  • Pham, D. T., & Liu, X. (1996). Training of Elman networks and dynamic system modelling. International Journal of Systems Science, 27(2), 221–226. https://doi.org/10.1080/00207729608929207

    Article  Google Scholar 

  • Polzin, F., von den Hoff, M., & Jung, M. (2015). Drivers and barriers for renewable energy investments in emerging countries–the case of wind energy in China, India and Brazil. India and Brazil (November 13, 2015).

  • Rahat, B., & Nguyen, P. (2022). Risk-adjusted investment performance of green and black portfolios and impact of toxic divestments in emerging markets. Energy Economics, 116, 106423.

    Article  Google Scholar 

  • Rannou, Y. (2019). Limit order books, uninformed traders and commodity derivatives: Insights from the European carbon futures. Economic Modelling, 81, 387–410.

    Article  Google Scholar 

  • Ren, X., Duan, K., Tao, L., Shi, Y., & Yan, C. (2022a). Carbon prices forecasting in quantiles. Energy Economics, 108, 105862.

    Article  Google Scholar 

  • Ren, X., Li, Y., Yan, C., Wen, F., & Lu, Z. (2022b). The interrelationship between the carbon market and the green bonds market: Evidence from wavelet quantile-on-quantile method. Technological Forecasting and Social Change, 179, 121611. https://doi.org/10.1016/j.techfore.2022.121611

    Article  Google Scholar 

  • Ren, X. M., & Rad, A. B. (2007). Identification of nonlinear systems with unknown time delay based on time-delay neural networks. IEEE Transactions on Neural Networks, 18(5), 1536–1541. https://doi.org/10.1109/TNN.2007.899702

    Article  CAS  Google Scholar 

  • Shaheen, F., Lodhi, M. S., Rosak-Szyrocka, J., Zaman, K., Awan, U., Asif, M., & Siddique, M. (2022). Cleaner technology and natural resource management: An environmental sustainability perspective from China. Clean Technologies, 4(3), 584–606.

    Article  Google Scholar 

  • Shen, Y., Su, Z. W., Malik, M. Y., Umar, M., Khan, Z., & Khan, M. (2021). Does green investment, financial development and natural resources rent limit carbon emissions? A provincial panel analysis of China. Science of the Total Environment, 755, 142538.

    Article  CAS  Google Scholar 

  • Shi, X., Ma, J., Jiang, A., Wei, S., & Yue, L. (2023). Green bonds: Green investments or greenwashing? International Review of Financial Analysis, 90, 102850.

    Article  Google Scholar 

  • Shi, X., Xu, Y., & Sun, W. (2022). Evaluating China’s pilot carbon emission trading scheme: Collaborative reduction of carbon and air pollutants. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-022-24685-z

    Article  Google Scholar 

  • Siddique, M. A., Nobanee, H., Karim, S., & Naz, F. (2023). Do green financial markets offset the risk of cryptocurrencies and carbon markets? International Review of Economics & Finance, 86, 822–833.

    Article  Google Scholar 

  • Singh, A. K., Raza, S. A., Nakonieczny, J., & Shahzad, U. (2023). Role of financial inclusion, green innovation, and energy efficiency for environmental performance? Evidence from developed and emerging economies in the lens of sustainable development. Structural Change and Economic Dynamics, 64, 213–224.

    Article  Google Scholar 

  • Steinberger, J. K., Krausmann, F., Getzner, M., Schandl, H., & West, J. (2013). Development and dematerialization: An international study. PLoS ONE, 8(10), e70385.

    Article  CAS  Google Scholar 

  • Streck, C. (2021). How voluntary carbon markets can drive climate ambition. Journal of Energy & Natural Resources Law, 39(3), 367–374. https://doi.org/10.1080/02646811.2021.1881275

    Article  Google Scholar 

  • Sun, D., Sun, J., Zhang, X., Yan, Q., Wei, Q., & Zhou, Y. (2016). Carbon markets in China: Development and challenges. Emerging Markets Finance and Trade, 52(6), 1361–1371.

    Article  Google Scholar 

  • Tiwari, A. K., Abakah, E. J. A., Gabauer, D., & Dwumfour, R. A. (2022). Dynamic spillover effects among green bond, renewable energy stocks and carbon markets during COVID-19 pandemic: Implications for hedging and investments strategies. Global Finance Journal, 51, 100692.

    Article  Google Scholar 

  • Tolliver, C., Keeley, A. R., & Managi, S. (2020a). Drivers of green bond market growth: The importance of nationally determined contributions to the Paris agreement and implications for sustainability. Journal of Cleaner Production, 244, 118643.

    Article  Google Scholar 

  • Tolliver, C., Keeley, A. R., & Managi, S. (2020b). Policy targets behind green bonds for renewable energy: Do climate commitments matter? Technological Forecasting and Social Change, 157, 120051.

    Article  Google Scholar 

  • Tuhkanen, H., & Vulturius, G. (2022). Are green bonds funding the transition? Investigating the link between companies’ climate targets and green debt financing. Journal of Sustainable Finance & Investment, 12(4), 1194–1216. https://doi.org/10.1080/20430795.2020.1857634

    Article  Google Scholar 

  • Turi, J. A., Rosak-Szyrocka, J., Mansoor, M., Asif, H., Nazir, A., & Balsalobre-Lorente, D. (2022). Assessing wind energy projects potential in Pakistan: Challenges and way forward. Energies, 15(23), 9014.

    Article  CAS  Google Scholar 

  • Wang, J., Wang, J., Zeng, M., & Wang, J. (2009). Prediction of internet traffic based on Elman neural network. In Paper presented at the 2009 Chinese control and decision conference.

  • Wang, Q., & Jiang, R. (2020). Is carbon emission growth decoupled from economic growth in emerging countries? New insights from labor and investment effects. Journal of Cleaner Production, 248, 119188.

    Article  Google Scholar 

  • Wei, Y., Zhang, J., Bai, L., & Wang, Y. (2023). Connectedness among El Niño-Southern oscillation, carbon emission allowance, crude oil and renewable energy stock markets: Time-and frequency-domain evidence based on TVP-VAR model. Renewable Energy, 202, 289–309.

    Article  Google Scholar 

  • Winkelman, A. G., & Moore, M. R. (2011). Explaining the differential distribution of clean development mechanism projects across host countries. Energy Policy, 39(3), 1132–1143.

    Article  Google Scholar 

  • Wu, L., & Gong, Z. (2021). Can national carbon emission trading policy effectively recover GDP losses? A new linear programming-based three-step estimation approach. Journal of Cleaner Production, 287, 125052.

    Article  Google Scholar 

  • Xin-gang, Z., Wenjie, L., Wei, W., & Shuran, H. (2023). The impact of carbon emission trading on green innovation of China’s power industry. Environmental Impact Assessment Review, 99, 107040.

    Article  Google Scholar 

  • Xu, G., Lu, N., & Tong, Y. (2022). Greenwashing and credit spread: Evidence from the Chinese green bond market. Finance Research Letters, 48, 102927.

    Article  Google Scholar 

  • Yeow, K. E., & Ng, S.-H. (2021). The impact of green bonds on corporate environmental and financial performance. Managerial Finance, 47(10), 1486–1510. https://doi.org/10.1108/MF-09-2020-0481

    Article  Google Scholar 

  • Yildirim, S. (2023). Greenwashing: A rapid escape from sustainability or a slow transition? LBS Journal of Management & Research. https://doi.org/10.1108/LBSJMR-11-2022-0077

    Article  Google Scholar 

  • Yongchun, L. (2010). Application of Elman neural network in short-term load forecasting. In Paper presented at the 2010 international conference on artificial intelligence and computational intelligence.

  • Yüksel Mermod, A., & Dömbekci, B. (2011). Emission trading applications in the European union and the case of Turkey as an emerging market. International Journal of Energy Sector Management, 5(3), 345–360.

    Article  Google Scholar 

  • Zanasi, C., Rota, C., Trerè, S., & Falciatori, S. (2017). An assessment of the food companies sustainability policies through a greenwashing indicator. In Proceedings in food system dynamics (pp. 61–81).

  • Zhang, G. (2023). Regulatory-driven corporate greenwashing: Evidence from “low-carbon city” pilot policy in China. Pacific-Basin Finance Journal, 78, 101951. https://doi.org/10.1016/j.pacfin.2023.101951

    Article  Google Scholar 

  • Zhang, W., Li, J., Li, G., & Guo, S. (2020a). Emission reduction effect and carbon market efficiency of carbon emissions trading policy in China. Energy, 196, 117117.

    Article  Google Scholar 

  • Zhang, Y., Li, S., Luo, T., & Gao, J. (2020b). The effect of emission trading policy on carbon emission reduction: Evidence from an integrated study of pilot regions in China. Journal of Cleaner Production, 265, 121843.

    Article  CAS  Google Scholar 

  • Zhang, Y. J., & Wei, Y. M. (2010). An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect. Applied Energy, 87(6), 1804–1814.

    Article  Google Scholar 

  • Zhang, Y., Xing, C., & Tripe, D. (2021). Redistribution of China’s green credit policy among environment-friendly manufacturing firms of various sizes: Do banks value small and medium-sized enterprises? International Journal of Environmental Research and Public Health, 18(1), 33.

    Article  Google Scholar 

  • Zhao, W. (2022). Greenwashing behavior in China’s green bond market and countermeasures. In Proceedings of the 2022 7th international conference on social sciences and economic development (ICSSED 2022). https://doi.org/10.2991/aebmr.k.220405.183

  • Zhou, K., & Li, Y. (2019). Carbon finance and carbon market in China: Progress and challenges. Journal of Cleaner Production, 214, 536–549.

    Article  Google Scholar 

  • Zhou, X., Tang, X., & Zhang, R. (2020). Impact of green finance on economic development and environmental quality: A study based on provincial panel data from China. Environmental Science and Pollution Research, 27, 19915–19932.

    Article  Google Scholar 

  • Zhu, B., Huang, L., Yuan, L., Ye, S., & Wang, P. (2020). Exploring the risk spillover effects between carbon market and electricity market: A bidimensional empirical mode decomposition based conditional value at risk approach. International Review of Economics & Finance, 67, 163–175.

    Article  Google Scholar 

Download references

Acknowledgements

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. No funding was received for this work. The datasets used during the current study are available from the website and are available on request.

Funding

No funding was received for this work.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mahdi Ghaemi Asl.

Ethics declarations

Conflict of interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ghaemi Asl, M., Shahzad, U. How do conventional, Islamic and green bonds idiosyncratically differ when it comes to their inherent nonlinear reliance on carbon emission future price? A novel approach to greenwashing detection. Environ Dev Sustain (2024). https://doi.org/10.1007/s10668-023-04351-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10668-023-04351-1

Keywords

Navigation