Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2023.2194946
Assessing technological innovation and sustainable environment: Tourism perspective of advanced panel methods
Yuanxiang Peng
Dan Zhu
Sažetak
The current study aims to analyze the influence of technological
innovation, economic growth, tourism and renewable energy consumption
on the carbon emissions in four South Asian economies
covering the period 1990-2020. This study employed the crosssectionally
augmented autoregressive distributed lag model – a
the third-generation estimator as it tackles the issues of slope heterogeneity,
panel cross-section dependency, endogeneity, and
stationarity. Also, this study uses the augmented mean group as
a robustness test and Granger panel causality heterogeneity test.
The results display that economic growth significantly enhances
emissions level, whereas achievement of the threshold income
level significantly reduces environmental degradation – validating
the environmental Kuznets curve hypothesis in the region.
Besides, tourism, renewable energy consumption, and technological
innovation substantially reduces carbon emissions in the
regions in short- and long-run. These findings are robust, and a
bidirectional causal association exists between the explanatory
variables and carbon emissions. The findings suggest policy concerning
the adoption of renewable energy, considering industrial
sector’s structural transformation, investment in technological
innovation and promotion of tourism in the region.
Ključne riječi
Advanced panel methods; panel causality test; innovation; panel cointegration; South Asian economies; EKC
Hrčak ID:
314871
URI
Datum izdavanja:
25.5.2023.
Posjeta: 48 *