IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i3p750-d1333641.html
   My bibliography  Save this article

How Does Renewable Energy Respond to Financial Globalization and Information and Communications Technology Trade?

Author

Listed:
  • Chaoqun Fan

    (Adam Smith Business School, University of Glasgow, Glasgow G11 6EY, UK)

  • Ahmed Usman

    (Department of Management Sciences, Riphah International University, Faisalabad 44000, Pakistan)

Abstract

Policymakers are looking at renewable energy as a substitute for traditional fossil fuels due to the growing concern about climate change and sustainable development. However, in the case of Asian countries, nothing is known about how ICT trade and financial globalization affect renewable energy consumption. To fill this gap, we have gathered data across 24 Asian economies, and a dynamic panel data approach known as GMM panel VAR is applied. The key outcomes of the GMM panel VAR underscore that ICT trade, financial globalization, and GDP favorably impact the current renewable energy consumption. Furthermore, the panel causality results indicate bidirectional causality between ICT trade, financial globalization, and renewable energy consumption. These findings have policy-relevant implications, highlighting the significance of financial liberalization and ICT-enabled trade in promoting renewable energy usage in Asian nations.

Suggested Citation

  • Chaoqun Fan & Ahmed Usman, 2024. "How Does Renewable Energy Respond to Financial Globalization and Information and Communications Technology Trade?," Energies, MDPI, vol. 17(3), pages 1-18, February.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:3:p:750-:d:1333641
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/3/750/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/3/750/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fotio, Herve Kaffo & Nchofoung, Tii N. & Asongu, Simplice A., 2022. "Financing renewable energy generation in SSA: Does financial integration matter?," Renewable Energy, Elsevier, vol. 201(P2), pages 47-59.
    2. Bun, Maurice J.G. & Carree, Martin A., 2005. "Bias-Corrected Estimation in Dynamic Panel Data Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 200-210, April.
    3. Bai, Xiao & Wang, Kuan-Ting & Tran, Trung Kien & Sadiq, Muhammad & Trung, Lam Minh & Khudoykulov, Khurshid, 2022. "Measuring China’s green economic recovery and energy environment sustainability: Econometric analysis of sustainable development goals," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 768-779.
    4. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    5. YUAN, Chunming & CHEN, Ruo, 2015. "Policy transmissions, external imbalances, and their impacts: Cross-country evidence from BRICS," China Economic Review, Elsevier, vol. 33(C), pages 1-24.
    6. Hui Fang & Qixin Huo & Kaouakib Hatim, 2023. "Can Digital Services Trade Liberalization Improve the Quality of Green Innovation of Enterprises? Evidence from China," Sustainability, MDPI, vol. 15(8), pages 1-22, April.
    7. Sunil Prasad Lohani & Prekshya Gurung & Bhawana Gautam & Ural Kafle & David Fulford & Marc Jeuland, 2023. "Current status, prospects, and implications of renewable energy for achieving sustainable development goals in Nepal," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(1), pages 572-585, February.
    8. Lv, Zhike & Liu, Wangxin & Xu, Ting, 2022. "Evaluating the impact of information and communication technology on renewable energy consumption: A spatial econometric approach," Renewable Energy, Elsevier, vol. 189(C), pages 1-12.
    9. Hasan, Mohammad Maruf & Du, Fang, 2023. "Nexus between green financial development, green technological innovation and environmental regulation in China," Renewable Energy, Elsevier, vol. 204(C), pages 218-228.
    10. Mazzucato, Mariana & Semieniuk, Gregor, 2018. "Financing renewable energy: Who is financing what and why it matters," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 8-22.
    11. Jahanger, Atif & Usman, Muhammad & Murshed, Muntasir & Mahmood, Haider & Balsalobre-Lorente, Daniel, 2022. "The linkages between natural resources, human capital, globalization, economic growth, financial development, and ecological footprint: The moderating role of technological innovations," Resources Policy, Elsevier, vol. 76(C).
    12. Wang, Shuguang & Sun, Luang & Iqbal, Sajid, 2022. "Green financing role on renewable energy dependence and energy transition in E7 economies," Renewable Energy, Elsevier, vol. 200(C), pages 1561-1572.
    13. Siqin Wang & Jun Wen & Xiuyun Yang & Peidong Deng & Ning Wang, 2023. "Impacts of Digital Trade Restrictiveness on Green Technology Innovation: An Empirical Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 59(7), pages 2079-2101, May.
    14. Wang Lei & Ilhan Ozturk & Hafeez Muhammad & Sana Ullah, 2022. "On the asymmetric effects of financial deepening on renewable and non-renewable energy consumption: insights from China," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 3961-3978, December.
    15. Best, Rohan, 2017. "Switching towards coal or renewable energy? The effects of financial capital on energy transitions," Energy Economics, Elsevier, vol. 63(C), pages 75-83.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Usman, Ojonugwa & Alola, Andrew Adewale & Akadiri, Seyi Saint, 2022. "Effects of domestic material consumption, renewable energy, and financial development on environmental sustainability in the EU-28: Evidence from a GMM panel-VAR," Renewable Energy, Elsevier, vol. 184(C), pages 239-251.
    2. Bonga-Bonga, Lumengo, 2017. "Fiscal policy, Monetary policy and External imbalances: Cross-country evidence from Africa’s three largest economies (Nigeria, South Africa and Egypt)," MPRA Paper 79490, University Library of Munich, Germany.
    3. Emna Trabelsi, 2016. "Transparency on inflation of OECD countries? An Application of LSDVC Estimator on a dynamic Panel Model," Economics Bulletin, AccessEcon, vol. 36(2), pages 1095-1126.
    4. Abonazel, Mohamed R., 2016. "Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects," MPRA Paper 70628, University Library of Munich, Germany.
    5. Mahir Binici & Yin-Wong Cheung & Kon S. Lai, 2011. "Trade Openness, Market Competition, and Inflation: Some Sectoral Evidence from OECD Countries," CESifo Working Paper Series 3690, CESifo.
    6. Evžen Kočenda & Karen Poghosyan, 2018. "Export Sophistication: A Dynamic Panel Data Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(12), pages 2799-2814, September.
    7. Sampene, Agyemang Kwasi & Li, Cai & Wiredu, John, 2024. "An outlook at the switch to renewable energy in emerging economies: The beneficial effect of technological innovation and green finance," Energy Policy, Elsevier, vol. 187(C).
    8. Polzin, Friedemann & Sanders, Mark & Serebriakova, Alexandra, 2021. "Finance in global transition scenarios: Mapping investments by technology into finance needs by source," Energy Economics, Elsevier, vol. 99(C).
    9. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    10. Dhaene, Geert & Jochmans, Koen, 2016. "Likelihood Inference In An Autoregression With Fixed Effects," Econometric Theory, Cambridge University Press, vol. 32(5), pages 1178-1215, October.
    11. Arturas Juodis, 2015. "Iterative Bias Correction Procedures Revisited: A Small Scale Monte Carlo Study," UvA-Econometrics Working Papers 15-02, Universiteit van Amsterdam, Dept. of Econometrics.
    12. Zhenlin Yang, 2014. "Initial-Condition Free Estimation of Fixed Effects Dynamic Panel Data Models," Working Papers 16-2014, Singapore Management University, School of Economics.
    13. Lee, Yoonseok, 2012. "Bias in dynamic panel models under time series misspecification," Journal of Econometrics, Elsevier, vol. 169(1), pages 54-60.
    14. Alexander Chudik & M. Hashem Pesaran & Jui‐Chung Yang, 2018. "Half‐panel jackknife fixed‐effects estimation of linear panels with weakly exogenous regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(6), pages 816-836, September.
    15. Appiah, Michael & Li, Mingxing & Sehrish, Saba & Abaji, Emad Eddin, 2023. "Investigating the connections between innovation, natural resource extraction, and environmental pollution in OECD nations; examining the role of capital formation," Resources Policy, Elsevier, vol. 81(C).
    16. Chudik, Alexander & Pesaran, M. Hashem, 2015. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
    17. Geert Dhaene & Koen Jochmans, 2011. "An Adjusted profile likelihood for non-stationary panel data models with fixed effects," Working Papers hal-01073732, HAL.
    18. Massimo Del Gatto & Adriana Di Liberto & Carmelo Petraglia, 2011. "Measuring Productivity," Journal of Economic Surveys, Wiley Blackwell, vol. 25(5), pages 952-1008, December.
    19. Evzen Kocenda & Karen Poghosyan, 2017. "Export sophistication: A dynamic panel data approach," Working Papers 980, Central Bank of the Republic of Armenia.
    20. Christian Haas & Karol Kempa, 2023. "Low-Carbon Investment and Credit Rationing," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 86(1), pages 109-145, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:3:p:750-:d:1333641. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.