IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2024-04-32.html
   My bibliography  Save this article

Analysis of Existing and Forecasting for Coal and Solar Energy Consumption on Climate Change in Asia Pacific: New Evidence for Sustainable Development Goals

Author

Listed:
  • Anggi Putri Kurniadi

    (Research Center for Macroeconomics and Finance, Badan Riset dan Inovasi Nasional, Indonesia)

  • Hasdi Aimon

    (Faculty of Economics and Business, Universitas Negeri Padang, Indonesia)

  • Zamroni Salim

    (Research Center for Macroeconomics and Finance, Badan Riset dan Inovasi Nasional, Indonesia)

  • Ragimun Ragimun

    (Research Center for Macroeconomics and Finance, Badan Riset dan Inovasi Nasional, Indonesia)

  • Adang Sonjaya

    (Research Center for Macroeconomics and Finance, Badan Riset dan Inovasi Nasional, Indonesia)

  • Sigit Setiawan

    (Research Center for Macroeconomics and Finance, Badan Riset dan Inovasi Nasional, Indonesia)

  • Viktor Siagian

    (Research Center for Macroeconomics and Finance, Badan Riset dan Inovasi Nasional, Indonesia)

  • Lokot Zein Nasution

    (Research Center for Cooperatives, Corporations and People's Economics, Badan Riset dan Inovasi Nasional, Indonesia)

  • R Nurhidajat

    (Research Center for Cooperatives, Corporations and People's Economics, Badan Riset dan Inovasi Nasional, Indonesia)

  • Mutaqin Mutaqin

    (Research Center for Industrial Economics, Services and Trade, Badan Riset dan Inovasi Nasional, Indonesia)

  • Joko Sabtohadi

    (Regional Research and Development Agency of Kutai Kertanegara Regency, Indonesia)

Abstract

This study aims to identify trends in the role of coal and solar energy consumption on climate change through existing and forecasting analysis as new evidence for the sustainable development goals launched by 2030. This research targets countries in the Asia Pacific, especially coal exporters (Indonesia and Australia) and coal importers (China). The basic model uses panel regression as the existing condition, which covers the period 2008-2023. Meanwhile, the forecasting analysis uses the ARIMA method, which covers the period 2024-2030. The findings of existing conditions include coal energy consumption contributing to increasing climate change. Meanwhile, solar energy consumption can reduce climate change. Furthermore, the forecast findings on average are climate change conditions of 5.237 million tons and coal energy consumption of 33,830 exajoules, but on average the annual growth rate is relatively small (0.91 percent for climate change and 1.46 percent for coal energy consumption). Meanwhile, solar energy has also increased with a small quantity of 2.40 exajoules, but the growth rate is relatively high (29.61 percent). This research recommends that the government massively increase the transition of clean energy consumption towards solar so that the mix can dominate for greater reductions in climate change in achieving sustainable development goals.

Suggested Citation

  • Anggi Putri Kurniadi & Hasdi Aimon & Zamroni Salim & Ragimun Ragimun & Adang Sonjaya & Sigit Setiawan & Viktor Siagian & Lokot Zein Nasution & R Nurhidajat & Mutaqin Mutaqin & Joko Sabtohadi, 2024. "Analysis of Existing and Forecasting for Coal and Solar Energy Consumption on Climate Change in Asia Pacific: New Evidence for Sustainable Development Goals," International Journal of Energy Economics and Policy, Econjournals, vol. 14(4), pages 352-359, July.
  • Handle: RePEc:eco:journ2:2024-04-32
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijeep/article/download/16187/7994
    Download Restriction: no

    File URL: https://www.econjournals.com/index.php/ijeep/article/view/16187
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Coal Energy Consumption; Solar Energy Consumption; Climate Change; Sustainable Development Goals;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    Statistics

    Access and download statistics

    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:eco:journ2:2024-04-32. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.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.