School of Management, Heilongjiang University of Science and Technology, Harbin, China.
Front Public Health. 2022 Dec 16;10:1035432. doi: 10.3389/fpubh.2022.1035432. eCollection 2022.
With rapid growth, green economic recovery has been a key agenda for the globe. However, the price volatility for natural resources plays a significant role in reshaping the green recovery. Therefore, the current study investigates the impact of green recovery, hum, a capital index, GDP growth, foreign direct investment and inflation on natural resource volatility in China from 1995 to 2020. In order to investigate the long-term association among selected variables, this study employs the Autoregressive Distributive Lag (ARDL) model. In addition, the current research uses the Aikaik information (AIC) criteria for the model selections. Obtained outcomes show the significant contribution of green recovery, human capital, GDP growth, FDI and inflation increase the natural resource price volatility level. However, to validate the results of ARDL, this study also used the ECM approach and validated the prior findings. On behalf of outcomes, the current study implies some imperative policies to attain the desired objective for green growth.
随着经济的快速增长,绿色经济复苏已成为全球的一个主要议题。然而,自然资源价格的波动在重塑绿色复苏方面起着重要作用。因此,本研究调查了绿色复苏、人力资本、国内生产总值增长、外国直接投资和通货膨胀对 1995 年至 2020 年中国自然资源波动的影响。为了研究所选变量之间的长期关联,本研究采用了自回归分布滞后(ARDL)模型。此外,本研究还使用了 Aikaik 信息准则(AIC)进行模型选择。研究结果表明,绿色复苏、人力资本、国内生产总值增长、外国直接投资和通货膨胀的增加显著提高了自然资源价格的波动水平。然而,为了验证 ARDL 的结果,本研究还使用了 ECM 方法,并验证了先前的发现。根据研究结果,本研究提出了一些重要的政策建议,以实现绿色增长的预期目标。