Dynamic connection between inward foreign direct investment, renewable energy, economic growth and carbon emission in China: evidence from partial and multiple wavelet coherence
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 wa...
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| Veröffentlicht in: | Environmental science and pollution research international 2020-11, Vol.27 (32), p.40456-40474 |
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| creator | Arain, Hira Sharif, Arshian Akbar, Bilal Younis, Md. Yamin |
| description | 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. |
| doi_str_mv | 10.1007/s11356-020-08836-8 |
| format | Article |
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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. 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Yamin</creatorcontrib><title>Dynamic connection between inward foreign direct investment, renewable energy, economic growth and carbon emission in China: evidence from partial and multiple wavelet coherence</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><description>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.</description><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Carbon</subject><subject>Coherence</subject><subject>Continuous wavelet transform</subject><subject>Data acquisition</subject><subject>Earth and Environmental Science</subject><subject>Economic analysis</subject><subject>Economic conditions</subject><subject>Economic development</subject><subject>Economic growth</subject><subject>Economics</subject><subject>Ecotoxicology</subject><subject>Emission analysis</subject><subject>Emissions</subject><subject>Energy consumption</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental degradation</subject><subject>Environmental Health</subject><subject>Environmental impact</subject><subject>Environmental science</subject><subject>Foreign investment</subject><subject>Morlet wavelet</subject><subject>Renewable energy</subject><subject>Renewable resources</subject><subject>Research Article</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><subject>Wavelet analysis</subject><subject>Wavelet transforms</subject><issn>0944-1344</issn><issn>1614-7499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kc1q3DAURkVpodMkL9CVoJsu4vbKli2puzL9hUA3zVrI8vWMgi1NJc2Yeay8YeVModBFV1dczne44iPkNYN3DEC8T4w1bVdBDRVI2XSVfEY2rGO8Elyp52QDivOKNZy_JK9SeoBCqlpsyOOnszezs9QG79FmFzztMS-Injq_mDjQMUR0O08HFwtQtidMeUafb2lEj4vpJ6TlEXfnW4rFE1bfLoYl76nxA7Um9kWLs0tp9TtPt3vnzQeKJzegt0jHGGZ6MDE7Mz1l5uOU3aGIF3PCCXO5b49xZa_Ji9FMCW_-zCty_-Xzz-236u7H1-_bj3eV5QxypQYpOdihQQkCupG3Zc1AjdAoIZTkvDMjMt6BaZllvO57VmYrB2h520FzRd5evIcYfh3Ll3W53-I0GY_hmHTNaw5KyFYW9M0_6EM4Rl-u03VXCyk4E6JQ9YWyMaQUcdSH6GYTz5qBXlvUlxZ16UY_tahXdXMJpQL7Hca_6v-kfgPWlqHx</recordid><startdate>20201101</startdate><enddate>20201101</enddate><creator>Arain, Hira</creator><creator>Sharif, Arshian</creator><creator>Akbar, Bilal</creator><creator>Younis, Md. 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Yamin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamic connection between inward foreign direct investment, renewable energy, economic growth and carbon emission in China: evidence from partial and multiple wavelet coherence</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><date>2020-11-01</date><risdate>2020</risdate><volume>27</volume><issue>32</issue><spage>40456</spage><epage>40474</epage><pages>40456-40474</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>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.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s11356-020-08836-8</doi><tpages>19</tpages></addata></record> |
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| subjects | Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Carbon Coherence Continuous wavelet transform Data acquisition Earth and Environmental Science Economic analysis Economic conditions Economic development Economic growth Economics Ecotoxicology Emission analysis Emissions Energy consumption Environment Environmental Chemistry Environmental degradation Environmental Health Environmental impact Environmental science Foreign investment Morlet wavelet Renewable energy Renewable resources Research Article Waste Water Technology Water Management Water Pollution Control Wavelet analysis Wavelet transforms |
| title | Dynamic connection between inward foreign direct investment, renewable energy, economic growth and carbon emission in China: evidence from partial and multiple wavelet coherence |
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