Dynamic linkages between non-renewable energy, renewable energy and economic growth through nonlinear ARDL approach: evidence from Malaysia
The purpose of this paper is to investigate the links between renewable energy (RE), non-renewable energy (NRE), capital, labour and economic growth, using the nonlinear autoregressive distributive lag (NARDL) model in Malaysia for the period of 1980–2018. The results of NARDL confirm the asymmetric...
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| Veröffentlicht in: | Environmental science and pollution research international 2022-07, Vol.29 (32), p.48795-48811 |
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| description | The purpose of this paper is to investigate the links between renewable energy (RE), non-renewable energy (NRE), capital, labour and economic growth, using the nonlinear autoregressive distributive lag (NARDL) model in Malaysia for the period of 1980–2018. The results of NARDL confirm the asymmetric effect of RE and NRE consumption on the economic growth in the long run as well as the short run in Malaysia. The findings also show that in the long and short run, positive shocks of NRE are greater than the positive shocks of RE. It indicates that Malaysia’s economic growth is highly dependent on NRE which is not a good indication as NRE consumption increases carbon dioxide (CO
2
) emission in the country. Moreover, the empirical results of this study demonstrated that RE consumption reduction accelerates economic growth, whereas NRE consumption reduction decreases economic growth. It can have claimed that in Malaysia, RE is still more expensive than NRE. In conclusion, this study offered a variety of measures to develop RE to reduce the dependency on NRE consumption. |
| doi_str_mv | 10.1007/s11356-022-19346-0 |
| format | Article |
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2
) emission in the country. Moreover, the empirical results of this study demonstrated that RE consumption reduction accelerates economic growth, whereas NRE consumption reduction decreases economic growth. It can have claimed that in Malaysia, RE is still more expensive than NRE. In conclusion, this study offered a variety of measures to develop RE to reduce the dependency on NRE consumption.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-022-19346-0</identifier><identifier>PMID: 35201582</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Autoregressive models ; capital ; Carbon dioxide ; Carbon Dioxide - analysis ; Carbon dioxide emissions ; Consumption ; Earth and Environmental Science ; Economic Development ; Economic growth ; Economic models ; Economics ; Ecotoxicology ; Emission analysis ; Energy ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental science ; labor ; Malaysia ; Nonlinear Dynamics ; nonrenewable resources ; Reduction ; Renewable Energy ; renewable energy sources ; Renewable resources ; Research Article ; Waste Water Technology ; Water Management ; Water Pollution Control</subject><ispartof>Environmental science and pollution research international, 2022-07, Vol.29 (32), p.48795-48811</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022</rights><rights>2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c452t-53d477221f3a5e6e8edb12127c0f5b3ead7ed0c913596cc2fcbc266459a248983</citedby><cites>FETCH-LOGICAL-c452t-53d477221f3a5e6e8edb12127c0f5b3ead7ed0c913596cc2fcbc266459a248983</cites><orcidid>0000-0002-8276-8325</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11356-022-19346-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-022-19346-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35201582$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Afroz, Rafia</creatorcontrib><creatorcontrib>Muhibbullah, Md</creatorcontrib><title>Dynamic linkages between non-renewable energy, renewable energy and economic growth through nonlinear ARDL approach: evidence from Malaysia</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>The purpose of this paper is to investigate the links between renewable energy (RE), non-renewable energy (NRE), capital, labour and economic growth, using the nonlinear autoregressive distributive lag (NARDL) model in Malaysia for the period of 1980–2018. The results of NARDL confirm the asymmetric effect of RE and NRE consumption on the economic growth in the long run as well as the short run in Malaysia. The findings also show that in the long and short run, positive shocks of NRE are greater than the positive shocks of RE. It indicates that Malaysia’s economic growth is highly dependent on NRE which is not a good indication as NRE consumption increases carbon dioxide (CO
2
) emission in the country. Moreover, the empirical results of this study demonstrated that RE consumption reduction accelerates economic growth, whereas NRE consumption reduction decreases economic growth. It can have claimed that in Malaysia, RE is still more expensive than NRE. In conclusion, this study offered a variety of measures to develop RE to reduce the dependency on NRE consumption.</description><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Autoregressive models</subject><subject>capital</subject><subject>Carbon dioxide</subject><subject>Carbon Dioxide - analysis</subject><subject>Carbon dioxide emissions</subject><subject>Consumption</subject><subject>Earth and Environmental Science</subject><subject>Economic Development</subject><subject>Economic growth</subject><subject>Economic models</subject><subject>Economics</subject><subject>Ecotoxicology</subject><subject>Emission analysis</subject><subject>Energy</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental science</subject><subject>labor</subject><subject>Malaysia</subject><subject>Nonlinear Dynamics</subject><subject>nonrenewable resources</subject><subject>Reduction</subject><subject>Renewable Energy</subject><subject>renewable energy sources</subject><subject>Renewable resources</subject><subject>Research Article</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><issn>0944-1344</issn><issn>1614-7499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkctu1DAUhi1E1Q6FF2CBLLFhQVr72Lm4u6oFijQVEoK15TgnmZTEntoJo3kGXroephepC1j5yP7Od2z_hLzl7IQzVp5GzkVeZAwg40rIVL0gC15wmZVSqZdkwZSUGRdSHpFXMd4wBkxBeUiORA6M5xUsyJ_LrTNjb-nQu1-mw0hrnDaIjjrvsoAON6YekKYidNuP9PkONa6haL3zO0kX_GZa0WkV_NytdoqkRRPo-ffLJTXrdfDGrs4o_u4bdBZpG_xIr81gtrE3r8lBa4aIb-7XY_Lz86cfF1fZ8tuXrxfny8zKHKYsF40sSwDeCpNjgRU2NQcOpWVtXgs0TYkNsyp9jiqshdbWFopC5sqArFQljsmHvTdd53bGOOmxjxaHwTj0c9RQ8goqxSr5f7QQUKUAhEro-2fojZ-DSw9JVFIxyQRLFOwpG3yMAVu9Dv1owlZzpnep6n2qOkn131T1rundvXquR2weWx5iTIDYAzEduQ7D0-x_aO8AqPOt5Q</recordid><startdate>20220701</startdate><enddate>20220701</enddate><creator>Afroz, Rafia</creator><creator>Muhibbullah, Md</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7SN</scope><scope>7T7</scope><scope>7TV</scope><scope>7U7</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0002-8276-8325</orcidid></search><sort><creationdate>20220701</creationdate><title>Dynamic linkages between non-renewable energy, renewable energy and economic growth through nonlinear ARDL approach: evidence from Malaysia</title><author>Afroz, Rafia ; Muhibbullah, Md</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c452t-53d477221f3a5e6e8edb12127c0f5b3ead7ed0c913596cc2fcbc266459a248983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Aquatic Pollution</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Autoregressive models</topic><topic>capital</topic><topic>Carbon dioxide</topic><topic>Carbon Dioxide - 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Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Environmental science and pollution research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Afroz, Rafia</au><au>Muhibbullah, Md</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamic linkages between non-renewable energy, renewable energy and economic growth through nonlinear ARDL approach: evidence from Malaysia</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2022-07-01</date><risdate>2022</risdate><volume>29</volume><issue>32</issue><spage>48795</spage><epage>48811</epage><pages>48795-48811</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>The purpose of this paper is to investigate the links between renewable energy (RE), non-renewable energy (NRE), capital, labour and economic growth, using the nonlinear autoregressive distributive lag (NARDL) model in Malaysia for the period of 1980–2018. The results of NARDL confirm the asymmetric effect of RE and NRE consumption on the economic growth in the long run as well as the short run in Malaysia. The findings also show that in the long and short run, positive shocks of NRE are greater than the positive shocks of RE. It indicates that Malaysia’s economic growth is highly dependent on NRE which is not a good indication as NRE consumption increases carbon dioxide (CO
2
) emission in the country. Moreover, the empirical results of this study demonstrated that RE consumption reduction accelerates economic growth, whereas NRE consumption reduction decreases economic growth. It can have claimed that in Malaysia, RE is still more expensive than NRE. In conclusion, this study offered a variety of measures to develop RE to reduce the dependency on NRE consumption.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>35201582</pmid><doi>10.1007/s11356-022-19346-0</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0002-8276-8325</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Environmental science and pollution research international, 2022-07, Vol.29 (32), p.48795-48811 |
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| subjects | Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Autoregressive models capital Carbon dioxide Carbon Dioxide - analysis Carbon dioxide emissions Consumption Earth and Environmental Science Economic Development Economic growth Economic models Economics Ecotoxicology Emission analysis Energy Environment Environmental Chemistry Environmental Health Environmental science labor Malaysia Nonlinear Dynamics nonrenewable resources Reduction Renewable Energy renewable energy sources Renewable resources Research Article Waste Water Technology Water Management Water Pollution Control |
| title | Dynamic linkages between non-renewable energy, renewable energy and economic growth through nonlinear ARDL approach: evidence from Malaysia |
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