Zhejiang University, Hangzhou, China.
Istanbul Medeniyet University, Istanbul, Turkey.
Environ Sci Pollut Res Int. 2021 Jul;28(26):33771-33780. doi: 10.1007/s11356-020-12089-w. Epub 2021 Jan 4.
This paper investigates the role of economic complexity on energy demand using the panel dataset of 25 Organization for Economic Co-operation and Development (OECD) countries from 1978 to 2016. Both real per capita income level and economy-wide real energy price index are critical determinants in energy demand modeling. The battery of the cross-sectional dependency test proposed by Pesaran (2004 and 2007) is used, signaling the presence of cross-sectional dependency in the dataset. Thus, the Westerlund (2007) cointegration test is also used, revealing the long-run relationship between the series. Moreover, the results from using the Augmented Mean Group (AMG) estimations illustrate that real per capita income level positively affects energy demand while real energy price and economic complexity negatively influence on it. From a policy perspective, we suggest increasing technological innovation (i.e., higher economic complexity) will reduce the energy demand. The reduction of massive energy usage may be beneficial for the natural environment's health in the OECD countries.
本文利用 1978 年至 2016 年期间 25 个经济合作与发展组织（OECD）国家的面板数据集，研究了经济复杂性对能源需求的影响。实际人均收入水平和全经济实际能源价格指数都是能源需求建模的关键决定因素。使用 Pesaran（2004 年和 2007 年）提出的横截面相关性检验套件，表明数据集存在横截面相关性。因此，还使用了 Westerlund（2007 年）的协整检验，揭示了序列之间的长期关系。此外，使用扩展均值组（AMG）估计的结果表明，实际人均收入水平正向影响能源需求，而实际能源价格和经济复杂性则负向影响能源需求。从政策角度来看，我们建议增加技术创新（即更高的经济复杂性）将降低能源需求。减少大量能源使用可能有益于 OECD 国家的自然环境健康。
