2022
DOI: 10.1007/s11356-022-24068-4
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Climate change, insurance market, renewable energy, and biodiversity: double-materiality concept from BRICS countries

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Cited by 27 publications
(6 citation statements)
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References 73 publications
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“…The results revealed that "economic complexity and economic growth raise CO 2 emissions and EF". Isiksal et al [79] in Central Asia and Joof et al [80] in BRICS countries affirmed similar results. Using the PMG on "Mexico, Indonesia, Nigeria, and Turkey (MINT)" countries between 1975 and 2010, Joof and Isiksal [81] explored the link among human capital, export diversification, economic growth, and CO 2 .…”
Section: Economic Growth and Environmental Qualitymentioning
confidence: 51%
“…The results revealed that "economic complexity and economic growth raise CO 2 emissions and EF". Isiksal et al [79] in Central Asia and Joof et al [80] in BRICS countries affirmed similar results. Using the PMG on "Mexico, Indonesia, Nigeria, and Turkey (MINT)" countries between 1975 and 2010, Joof and Isiksal [81] explored the link among human capital, export diversification, economic growth, and CO 2 .…”
Section: Economic Growth and Environmental Qualitymentioning
confidence: 51%
“…Using the FMOLS approach, researchers discover that an increase in foreign tourism leads to a rise in CO 2 emissions. Joof et al [ 51 ] utilized the STIRPAT model to assess the influence of EG per capita, technical advancements, exports, and imports on CO 2 emissions in ten specific nations, such as Mexico, India, China, South Africa, and others. Their research demonstrates that a growth in EG per capita has a substantial and beneficial effect on carbon emissions.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The first flaw occurs when the lagged explained facet has no significant effect, while the second occurs when the lagged explanatory facets do not have a significant effect. The Bootstrap ARDL techniques employ critical values (CVs) to encapsulate the attributes of the combined integration of each tested series, thereby addressing the issue of stability in standard co-integration findings [77]. This approach allows the endogeneity of several variables, whereas the conventional ARDL model only accommodates one [20,78].…”
Section: The Ardl Bound Testing Modelmentioning
confidence: 99%