Do renewable energy and national patents impact the environmental sustainability of Tunisia?
This study is focused on analyzing the linkage between carbon dioxide (CO 2 ) emissions, renewable energy consumption (RE), foreign direct investment (FDI), national patents (NP), exports (X), imports (M), and gross domestic product (GDP) in Tunisia by using the time series data from 1980 to 2017. A...
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| Veröffentlicht in: | Environmental science and pollution research international 2022-04, Vol.29 (17), p.25248-25262 |
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| creator | Ghorbal, Sana Farhani, Sahbi Youssef, Slim Ben |
| description | This study is focused on analyzing the linkage between carbon dioxide (CO
2
) emissions, renewable energy consumption (RE), foreign direct investment (FDI), national patents (NP), exports (X), imports (M), and gross domestic product (GDP) in Tunisia by using the time series data from 1980 to 2017. A unit root test and an autoregressive distributed lag (ARDL) model were applied to avoid bias caused by data mismatch and autocorrelation of time series data. Elasticity long-run test shows that renewable energy consumption, exports, and gross domestic product have a positive impact on CO
2
emissions, while foreign direct investment acts negatively on CO
2
emissions. Depending on the error correction term test, there is a long-run causality: from CO
2
emissions, renewable energy, foreign direct investment, exports, and gross domestic product to home patent. Findings of the short-run causality show that there is a unidirectional causality running from exports to CO
2
emissions and from exports to gross domestic product. Our results also show that Tunisia should encourage foreign direct investment because it seems to be an important factor in the mitigation of CO
2
emissions. |
| doi_str_mv | 10.1007/s11356-021-17628-7 |
| format | Article |
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2
) emissions, renewable energy consumption (RE), foreign direct investment (FDI), national patents (NP), exports (X), imports (M), and gross domestic product (GDP) in Tunisia by using the time series data from 1980 to 2017. A unit root test and an autoregressive distributed lag (ARDL) model were applied to avoid bias caused by data mismatch and autocorrelation of time series data. Elasticity long-run test shows that renewable energy consumption, exports, and gross domestic product have a positive impact on CO
2
emissions, while foreign direct investment acts negatively on CO
2
emissions. Depending on the error correction term test, there is a long-run causality: from CO
2
emissions, renewable energy, foreign direct investment, exports, and gross domestic product to home patent. Findings of the short-run causality show that there is a unidirectional causality running from exports to CO
2
emissions and from exports to gross domestic product. Our results also show that Tunisia should encourage foreign direct investment because it seems to be an important factor in the mitigation of CO
2
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2
) emissions, renewable energy consumption (RE), foreign direct investment (FDI), national patents (NP), exports (X), imports (M), and gross domestic product (GDP) in Tunisia by using the time series data from 1980 to 2017. A unit root test and an autoregressive distributed lag (ARDL) model were applied to avoid bias caused by data mismatch and autocorrelation of time series data. Elasticity long-run test shows that renewable energy consumption, exports, and gross domestic product have a positive impact on CO
2
emissions, while foreign direct investment acts negatively on CO
2
emissions. Depending on the error correction term test, there is a long-run causality: from CO
2
emissions, renewable energy, foreign direct investment, exports, and gross domestic product to home patent. Findings of the short-run causality show that there is a unidirectional causality running from exports to CO
2
emissions and from exports to gross domestic product. Our results also show that Tunisia should encourage foreign direct investment because it seems to be an important factor in the mitigation of CO
2
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Academic</collection><jtitle>Environmental science and pollution research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ghorbal, Sana</au><au>Farhani, Sahbi</au><au>Youssef, Slim Ben</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Do renewable energy and national patents impact the environmental sustainability of Tunisia?</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2022-04-01</date><risdate>2022</risdate><volume>29</volume><issue>17</issue><spage>25248</spage><epage>25262</epage><pages>25248-25262</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>This study is focused on analyzing the linkage between carbon dioxide (CO
2
) emissions, renewable energy consumption (RE), foreign direct investment (FDI), national patents (NP), exports (X), imports (M), and gross domestic product (GDP) in Tunisia by using the time series data from 1980 to 2017. A unit root test and an autoregressive distributed lag (ARDL) model were applied to avoid bias caused by data mismatch and autocorrelation of time series data. Elasticity long-run test shows that renewable energy consumption, exports, and gross domestic product have a positive impact on CO
2
emissions, while foreign direct investment acts negatively on CO
2
emissions. Depending on the error correction term test, there is a long-run causality: from CO
2
emissions, renewable energy, foreign direct investment, exports, and gross domestic product to home patent. Findings of the short-run causality show that there is a unidirectional causality running from exports to CO
2
emissions and from exports to gross domestic product. Our results also show that Tunisia should encourage foreign direct investment because it seems to be an important factor in the mitigation of CO
2
emissions.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>34839440</pmid><doi>10.1007/s11356-021-17628-7</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-0107-2263</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0944-1344 |
| ispartof | Environmental science and pollution research international, 2022-04, Vol.29 (17), p.25248-25262 |
| issn | 0944-1344 1614-7499 |
| language | eng |
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| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Autoregressive models Carbon dioxide Carbon Dioxide - analysis Carbon dioxide emissions Causality Earth and Environmental Science Economic Development Ecotoxicology Emissions Energy consumption Environment Environmental Chemistry Environmental Health Environmental impact Environmental science Error correction Exports Foreign investment GDP Gross Domestic Product Imports Investments Renewable Energy Renewable resources Research Article Time series Tunisia Waste Water Technology Water Management Water Pollution Control |
| title | Do renewable energy and national patents impact the environmental sustainability of Tunisia? |
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