Department of Finance, School of Economics & Management, Beihang University (BUAA), Beijing, China.
Othman Yeop Abdullah graduate school of business, Universiti Utara Malaysia, Kedah, Malaysia.
Environ Sci Pollut Res Int. 2020 Nov;27(32):40456-40474. doi: 10.1007/s11356-020-08836-8. Epub 2020 Jul 14.
This paper presents a fresh understanding of the vigorous connection between inward FDI, renewable energy consumption, economic growth and carbon emission in the Chinese economy employing novel Morlet wavelet analysis. Wavelet correlation, continuous wavelet transform and partial and the multiple wavelet coherence analyses are applied on variables under study for data acquired during the period 1979 to 2017. The outcome of these analyses reveals that the connections among the variables progress over frequency and time. From the frequency domain point of view, the current study discovers noteworthy wavelet coherence and robust lead and lag linkages, although time domain reveals inconsistent associations among the considered variables. The wavelet analysis according to economic point of view supports that inward foreign direct investment (FDI) and renewable energy consumption help to enhance economic condition in Chinese economy. The results also suggested that inward FDI enhances the environmental degradation in medium and long run in China. The results emphasize the significance of having organized strategies by the policymakers to cope with huge environmental degradation occurred for a couple of decades in China.
本文利用新的 Morlet 小波分析，对中国经济中内向型外国直接投资、可再生能源消费、经济增长和碳排放之间的紧密联系提出了新的认识。对 1979 年至 2017 年期间获得的数据，应用小波相关、连续小波变换以及偏多小波相干性分析，对研究变量进行了分析。这些分析的结果表明，变量之间的联系随频率和时间而变化。从频域的角度来看，本研究发现了显著的小波相干性和稳健的领先和滞后关系，尽管时域显示出所考虑变量之间存在不一致的关联。根据经济角度的小波分析支持，内向外国直接投资（FDI）和可再生能源消费有助于提高中国经济的经济状况。结果还表明，内向 FDI 会在中长期内加剧中国的环境恶化。这些结果强调了决策者制定有组织战略的重要性，以应对中国几十年来发生的巨大环境恶化问题。
