Do foreign direct investments influence environmental degradation? Evidence from a panel autoregressive distributed lag model approach to low-, lower-middle-, upper-middle-, and high-income countries
The main aim of the present study is to examine the possible nonlinear relations between foreign direct investments and environmental deterioration for subpanels separated according to the income levels of countries by using the classification made by the World Bank. Total energy consumption, econom...
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| Veröffentlicht in: | Environmental science and pollution research international 2022-05, Vol.29 (21), p.31311-31329 |
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| creator | Baskurt, Burcu Bahceci Celik, Saban Aktan, Bora |
| description | The main aim of the present study is to examine the possible nonlinear relations between foreign direct investments and environmental deterioration for subpanels separated according to the income levels of countries by using the classification made by the World Bank. Total energy consumption, economic growth, and renewable energy share are also considered as determinants of environmental deterioration in the model. Cross-sectional dependence is observed; hence, appropriate panel data unit root and cointegration tests are utilized for which results pointed out mixed integration order. Pooled mean group (PMG) estimator panel auto-regressive distributed lag (ARDL, hereafter) approach is adapted to observe short- and long-run relationships between the variables. Long-run results supported the pollution haven hypothesis as foreign direct investments caused an increase in ecological footprint. Findings are sensitive to different income levels of the subpanels of countries. This empirical study suggests tailored policymaking for every income level subpanel to ensure sustainable development. |
| doi_str_mv | 10.1007/s11356-021-17822-7 |
| format | Article |
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Pooled mean group (PMG) estimator panel auto-regressive distributed lag (ARDL, hereafter) approach is adapted to observe short- and long-run relationships between the variables. Long-run results supported the pollution haven hypothesis as foreign direct investments caused an increase in ecological footprint. Findings are sensitive to different income levels of the subpanels of countries. 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Evidence from a panel autoregressive distributed lag model approach to low-, lower-middle-, upper-middle-, and high-income countries</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>The main aim of the present study is to examine the possible nonlinear relations between foreign direct investments and environmental deterioration for subpanels separated according to the income levels of countries by using the classification made by the World Bank. Total energy consumption, economic growth, and renewable energy share are also considered as determinants of environmental deterioration in the model. Cross-sectional dependence is observed; hence, appropriate panel data unit root and cointegration tests are utilized for which results pointed out mixed integration order. Pooled mean group (PMG) estimator panel auto-regressive distributed lag (ARDL, hereafter) approach is adapted to observe short- and long-run relationships between the variables. Long-run results supported the pollution haven hypothesis as foreign direct investments caused an increase in ecological footprint. Findings are sensitive to different income levels of the subpanels of countries. This empirical study suggests tailored policymaking for every income level subpanel to ensure sustainable development.</description><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Autoregressive models</subject><subject>Carbon Dioxide</subject><subject>Climate change</subject><subject>Cross-Sectional Studies</subject><subject>Deterioration</subject><subject>Developed Countries</subject><subject>Developing countries</subject><subject>Earth and Environmental Science</subject><subject>Ecological effects</subject><subject>Ecological footprint</subject><subject>Economic Development</subject><subject>Economic growth</subject><subject>Ecotoxicology</subject><subject>Emissions</subject><subject>empirical research</subject><subject>energy</subject><subject>Energy consumption</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental degradation</subject><subject>Environmental Health</subject><subject>Environmental science</subject><subject>GDP</subject><subject>Gross Domestic Product</subject><subject>Hypotheses</subject><subject>Income</subject><subject>Influence</subject><subject>Investments</subject><subject>Labor force</subject><subject>LDCs</subject><subject>Longitudinal studies</subject><subject>Natural resources</subject><subject>Per capita</subject><subject>pollution</subject><subject>Renewable Energy</subject><subject>renewable energy sources</subject><subject>Renewable resources</subject><subject>Research Article</subject><subject>Sustainable development</subject><subject>Time series</subject><subject>Trends</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><subject>World Bank</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>eNqNksuOFSEQhjtG4xxHX8CFIXHjQpRL08DKmHG8JJO40XWHA0UfJt3QQvcxPqGvJT1nvMSFcQMUfPVXFfmb5jElLygh8mWhlIsOE0YxlYoxLO80O9rRFstW67vNjui2xZS37VnzoJRrQhjRTN5vzrgghDIld833Nwn5lCEMEbmQwS4oxCOUZYK4lHr24wrRAoJ4DDnF7dqMyMGQjTNLSPEVujwGd8P4nCZk0GwijMisS9UdMpQSjlDFy5LDfl3AodEMaEpug-Y5J2MPaEloTF_x822FjKfg3Ag1XOf5z9BEhw5hOOAQbZoA2bTGKgvlYXPPm7HAo9v9vPn89vLTxXt89fHdh4vXV9i2RC3YU9d56lu9l5SzTnWOW01E13FOrRRcKiOo8dIpUKCdr5xkwK3SUnKvJT9vnp10a99f1vpP_RSKhXGsM6e19KyTQgjJufoPlCpBOFOiok__Qq_TmmMdpFKi07KVcqvNTpTNqZQMvp9zmEz-1lPSb47oT47oqyP6G0f0W9KTW-l1P4H7lfLTAhXgJ6DUpzhA_l37H7I_ADACxB0</recordid><startdate>20220501</startdate><enddate>20220501</enddate><creator>Baskurt, Burcu Bahceci</creator><creator>Celik, Saban</creator><creator>Aktan, Bora</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></search><sort><creationdate>20220501</creationdate><title>Do foreign direct investments influence environmental degradation? 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Saban</au><au>Aktan, Bora</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Do foreign direct investments influence environmental degradation? Evidence from a panel autoregressive distributed lag model approach to low-, lower-middle-, upper-middle-, and high-income countries</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2022-05-01</date><risdate>2022</risdate><volume>29</volume><issue>21</issue><spage>31311</spage><epage>31329</epage><pages>31311-31329</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>The main aim of the present study is to examine the possible nonlinear relations between foreign direct investments and environmental deterioration for subpanels separated according to the income levels of countries by using the classification made by the World Bank. Total energy consumption, economic growth, and renewable energy share are also considered as determinants of environmental deterioration in the model. 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| subjects | Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Autoregressive models Carbon Dioxide Climate change Cross-Sectional Studies Deterioration Developed Countries Developing countries Earth and Environmental Science Ecological effects Ecological footprint Economic Development Economic growth Ecotoxicology Emissions empirical research energy Energy consumption Environment Environmental Chemistry Environmental degradation Environmental Health Environmental science GDP Gross Domestic Product Hypotheses Income Influence Investments Labor force LDCs Longitudinal studies Natural resources Per capita pollution Renewable Energy renewable energy sources Renewable resources Research Article Sustainable development Time series Trends Waste Water Technology Water Management Water Pollution Control World Bank |
| title | Do foreign direct investments influence environmental degradation? Evidence from a panel autoregressive distributed lag model approach to low-, lower-middle-, upper-middle-, and high-income countries |
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