The Effects of ICT on Environment Quality: The Role of Green Technological Innovation in Asian Developing Countries

Tahsin, Johora

doi:10.55493/5009.v10i2.4506

Cited by 9 publications

(3 citation statements)

References 53 publications

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“…This implies that patent applications contribute to environmental degradation in the majority of G20 countries. These findings contradict the conclusions drawn in previous studies [21,22]. Hence, our study rejects hypothesis 2.…”

Section: Methodscontrasting

confidence: 99%

The Impacts of ICT and innovation on Carbon Dioxide Emissions in G20 Countries

Lee,

Yap,

Lee

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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The G20 countries collectively account for a substantial portion of global carbon dioxide (CO2) emissions, as they represent the world’s major economies and industrial powers. The continual growth in CO2 emissions exacerbates the greenhouse effect, which negatively influences the environment and ecosystems by raising temperatures, altering weather patterns, and increasing sea levels. To effectively address global climate action, it is imperative to tackle and reduce CO2 emissions in G20 nations. The objective of this study is to investigate the impacts of ICT and innovation on CO2 emissions in G20 countries. Using panel quantile regression, we analyze data spanning from the year 2000 to 2019 to derive meaningful results. The findings demonstrate a strong positive association between ICT and CO2 in nations that fall between the 10th and 40th quantiles. The countries with carbon dioxide emissions falling between the 30th and 90th quantiles also showed a strong positive correlation between patent applications and CO2. The conclusion of this study shows that innovation and ICT do not always reduce CO2, especially at levels of CO2 emission below the 40th quantile. As a result, depending on the country’s CO2 level, different ICT and innovation-related initiatives may have different effects on CO2. The novelty of this study reveals that the relationship between ICT, innovation, and CO2 emissions is underscored by varying levels of CO2 emissions.

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Section: Methodscontrasting

confidence: 99%

The Impacts of ICT and innovation on Carbon Dioxide Emissions in G20 Countries

Lee,

Yap,

Lee

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…Likewise, x it is recognized as nominated independent variable and ϵ it specifies models' error term. Analytically, this empirical study has designated the Panel Data Static and Dynamic models that was formerly implemented by Ghani et al, 2023, Zandi et al, 2022, Chakrabarti and Chakrabarti, 2019Mubeen et al, 2022;Tahsin, 2022.…”

Section: Methodsmentioning

confidence: 99%

Exploring Capital Structure Determinants for OECD Energy Firms

Zandi,

Rehan,

Adnan Hye

et al. 2023

IJEEP

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Energy is considered as a critical factor for supporting Economic Co-operation and Development (OECD) countries’ economic growth. However, little is known about OECD-based energy firms’ capital structure determinants. Hence, this investigation is an effort to explore the capital structure determinants for OECD countries’ energy firms. In this context, 18 key OECD countries 43 energy firms are selected. The balanced panel data sample set of 14 years from 2007 to 2020 is constructed to perform empirical analysis. The eight selected determinants, which are tangibility, current ratio, non-debt tax shield, return on equity, annual gross domestic product, inflation, and energy consumption are examined in association with capital structure that is measured by debt-to-asset ratio. By engaging a Panel Data Static Model and Dynamic Model via Generalized Method of Moments (GMM), the outcomes expose that tangibility, profitability, gross domestic product, energy consumption, and lagged dependent variable are the key capital structure determinants for energy firms of OECD countries. Notably, the significant role of a lagged dependent variable specifies the existence of a dynamic capital structure and speed of adjustment for these firms. Also, the significant role of tangibility directly indicates the relevance of the Dynamic Trade-Off theory. The findings pave new ways for policymakers to develop similar policies that will enhance collaboration in OECD countries to knob forth seeing energy-connected issues. Likewise, the identification of key determinants will also be helpful for these firms to construct best mix of debt and equity that ultimately enhance their financial performance and market value.

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“…Additionally, this investigation also has executed diagnostic tests to measure the fitness of the models. The Pearson Correlation test is used to measure the statistical relationship among all the selected variables of this investigation (Abdul Chakrabarti and Chakrabarti, 2019;Abdul Hadi et al, 2015;Tahsin, 2022;Yuang and Zhang, 2022;Abubakar and Abdullahi, 2022;Nwaobia et al, 2022). Remarkably, the test of Pearson Correlation explains that at which level significant relationship exists among the studied variables (Abdul Benesty et al, 2009).…”

Section: Gdpmentioning

confidence: 99%

Examining Capital Structure Determinants for ASEAN Energy Firms

Ghani

Hye²,

Rehan

et al. 2023

IJEEP

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Increasing energy insufficiency is the main trench for the South East Asian countries. Though, there are rare empirical inquiries in relation to the energy firms’ capital structure determinants for the firms functioning in the Association of Southeast Asian Nations (ASEAN). Therefore, this study is an attempt to discover the capital structure determinants of energy firms that are functioning in the six key economies of ASEAN region which are Malaysia, Indonesia, Thailand, Philippines, Cambodia and Vietnam. In this setting, a total of 144 energy firms’ yearly Panel Data is involved over 14 years period from 2007 to 2020. The seven core determinants of capital structure, namely tangibility, return on equity, current ratio, non-debt tax shield, inflation and annual gross domestic product are inspected in relation to capital structure which is measured by ratio of debt to total asset. Employing both Panel Data models that are Static and Dynamic models via using robust estimator i.e. Generalized Method of Moments (GMM), the results reveal that tangibility and profitability are the most prominent determinants among all others. Evidently, the two newly introduced capital structure determinants that are inflation and energy consumption for ASEAN region energy firms are also reported significant by dissimilar estimators. The significant character of tangibility, profitability and lagged dependent variable directly infers the relevance of Dynamic Trade-Off theory. The findings provide new ways for policy makers to construct parallel strategies which will not only help out to overcome the energy scarcity issues but also to enhance regional level integration.

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The Effects of ICT on Environment Quality: The Role of Green Technological Innovation in Asian Developing Countries

Cited by 9 publications

References 53 publications

The Impacts of ICT and innovation on Carbon Dioxide Emissions in G20 Countries

The Impacts of ICT and innovation on Carbon Dioxide Emissions in G20 Countries

Exploring Capital Structure Determinants for OECD Energy Firms

Examining Capital Structure Determinants for ASEAN Energy Firms

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