Dynamic Impacts of Economic Growth, Renewable Energy Use, Urbanization, and Tourism on Carbon Dioxide Emissions in Argentina

Raihan, Asif; Muhtasim, Dewan Ahmed; Pavel, Monirul Islam; Faruk, Omar; Rahman, Md. Saidur

doi:10.1007/s40710-022-00590-y

Cited by 76 publications

(21 citation statements)

References 83 publications

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“…The results of this experiment are consistent with those obtained from earlier experiments . The implementation of novel technology, as discovered by the researchers, resulted in a lower overall level of pollution (Raihan et al, 2022g). As a result, the results of this study suggest that encouraging technological innovation can be an efficient policy instrument for lowering environmental pollution in India.…”

Section: Resultsmentioning

confidence: 63%

Carbon Emission Dynamics in India Due to Financial Development, Renewable Energy Utilization, Technological Innovation, Economic Growth, and Urbanization

Raihan

Voumik

2022

JESCAE

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Concerns about climate change, emission reduction, and environmental sustainability have become crucial in accomplishing long-term development goals. The present study explored the dynamic effects of financial development, renewable energy utilization, technological innovation, economic growth, and urbanization on carbon dioxide (CO2) emissions in India. This investigation quantifies short- and long-run dynamics using time series data from 1990 to 2020 and an Autoregressive Distributed Lag (ARDL) model. The outcomes from ARDL short- and long-run analysis revealed a positive and significant effect of financial development, economic growth, and urbanization on CO2 emissions in India. In contrast, both the short- and long-term coefficients for renewable energy utilization and technological innovation are negative and statistically significant, suggesting that expanding these variables will lead to lower CO2 emissions. The findings were validated by employing the Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Canonical Cointegration Regression (CCR) methods. This research provides novel findings that add to the current literature and may be of special relevance to policymakers in the country because of the role that the financial system plays in environmental concerns.

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Section: Resultsmentioning

confidence: 63%

Carbon Emission Dynamics in India Due to Financial Development, Renewable Energy Utilization, Technological Innovation, Economic Growth, and Urbanization

Raihan

Voumik

2022

JESCAE

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“…Bootstrap is a frontend framework developed based on HTML5 and CSS3, which can be used for the development of web applications and websites. e reason why it can adapt to smart terminal devices such as desktop computers, tablet computers, and mobile phones is that it is compatible with the Jquery plugin, which brings users a better interactive experience [20]. e abovementioned paragraph mainly introduces the concept and characteristics of the construction of an integrated platform for eco-sustainable tourism and marketing, as well as related theories and technologies used in the development of the platform.…”

Section: Ajax and Bootstrap Technologymentioning

confidence: 99%

Construction of Integrated Platform for Eco-Sustainable Tourism and Marketing in Southeast Asia Based on Machine Learning

Chen

Tseng

2022

International Transactions on Electrical Energy Systems

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Southeast Asia is one of the most popular tourist destinations in the world, and its tourism model is mainly based on ecological and sustainable tourism characteristics. It is a special practical exploration of this region. However, with the rapid development of the tourism industry, the structural contradictions in the tourism industry have become increasingly prominent, coupled with the weak link of tourism development, making the development of tourism unbalanced. Therefore, this study proposed a platform-related algorithm based on machine learning to build the integration of eco-sustainable tourism and marketing in Southeast Asia and used a collaborative filtering algorithm and a route generation algorithm to recommend information or predict specific needs for specific tourists. The experimental results of this study showed that the difference between different loss functions of the improved transfer algorithm based on machine learning is not significant, which indicated that the method proposed in this study is robust to the choice of a loss function. Compared with the hinge loss function and the logarithmic loss function, the exponential loss function has the highest average classification accuracy of 0.91, of which the average accuracy of the logarithmic loss function is 0.85, and the average classification accuracy of the hinge loss function is 0.79. Therefore, applying the migration algorithm to the architecture of the platform is conducive to the stability of the dataset and to the better display of pages for tourists.

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“…Begum et al, 2015). Raihan et al (2022) observed the long‐term impact of energy use on CO 2 emissions in China to be positive and substantial. Energy consumption and GDP per person favor carbon emissions, while population growth has minimal effect on this long‐term trend.…”

Section: Resultsmentioning

confidence: 99%

Achieving sustainable development through economic growth, energy consumption, and agricultural productivity in China

Xia

Zhou²,

Xing

et al. 2023

Sustainable Development

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Large amount of carbon emission is the main hazard to environment and human health. The aim of this research is to investigate the impact of economic growth, forest zone, agricultural productivity, and energy consumption on environmental pollution in China using time series data from 1980 to 2020. The underline research utilized dynamic ordinary least‐squares (DOLS) method, Johansen and Engle–Granger cointegration tests, and the autoregressive‐distributed lag (ARDL) technique to analyze the varying data set. To compare findings, fully modified ordinary least squares (FMOLS) and canonical cointegrating regression (CCR) estimators are estimated. Energy use and population raise CO2 emissions with 1% economic development. Long‐term CO2 emissions may be reduced by 1% agriculture production and forestry zone growth. The Granger causality test showed causation between all variables. Results reveal that China might achieve sustainable development goals by cutting down CO2 emissions and mitigate global climate change. The underline research presents policy recommendations for attaining environmental sustainability in China through green investment by reducing carbon emissions. These policies highlight promoting use of renewable energy, financing green technological progression in agricultural productivity, and the ecological feasibility of China's forests.

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Dynamic Impacts of Economic Growth, Renewable Energy Use, Urbanization, and Tourism on Carbon Dioxide Emissions in Argentina

Cited by 76 publications

References 83 publications

Carbon Emission Dynamics in India Due to Financial Development, Renewable Energy Utilization, Technological Innovation, Economic Growth, and Urbanization

Carbon Emission Dynamics in India Due to Financial Development, Renewable Energy Utilization, Technological Innovation, Economic Growth, and Urbanization

Construction of Integrated Platform for Eco-Sustainable Tourism and Marketing in Southeast Asia Based on Machine Learning

Achieving sustainable development through economic growth, energy consumption, and agricultural productivity in China

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