Do Technological Innovation and Financial Development Affect Inequality? Evidence from BRICS Countries

Biyase, Mduduzi; Zwane, Talent; Mncayi, Precious; Maleka, Mokgadi

doi:10.3390/ijfs11010043

Cited by 6 publications

(3 citation statements)

References 51 publications

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“…The impact on INE is heterogeneous across sectors and countries (Adebayo, 2022;González Gordón and Resosudarmo, 2019). The financial sector wage premium contributes a significant portion to the global top-income growth in many countries, and the financial sector's higher rent is responsible for the rapidly growing global inequality (Biyase et al 2023;Card et al 2018). The pattern of rent sharing between workers and companies is also a potential source of high wages in the financial sector (Hm and Metzger, 2023).…”

Section: Literature Reviewmentioning

confidence: 99%

Bridging the digital divide: the impact of technological innovation on income inequality and human interactions

Xiao,

Xu,

Skare

et al. 2024

Humanit Soc Sci Commun

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This study seeks to understand the nuanced relationship between technological innovation and income inequality with an emphasis on the broader implications of this interplay on human–technology interactions in diverse socioeconomic settings. Using cross-country panel data from 59 nations (31 developed and 28 developing) from 1995 to 2020, the study employed the common correlated effect mean group (CCEMG) estimator. The robustness of our findings was validated using the augmented mean group (AMG) estimator and the panel causality test. The results indicate that technological innovation, while heralded for its potential to bridge communication and operational gaps, inadvertently exacerbates income disparities, with a pronounced effect in developed economies. Moreover, interactions between technological innovation and variables such as economic growth, globalisation and export trade introduce additional complexities, including both buffering and acceleration effects on the primary relationship. These findings shed light on the double-edged nature of technological advancements, underscoring the need for informed policy-making that harnesses the benefits of innovation while mitigating its unintended socioeconomic consequences. The study sets the stage for domain-specific explorations such as in education, public health and business. It also invites interdisciplinary discourse on the ethical and behavioural dimensions of technology adoption, especially user experiences and societal outcomes.

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Section: Literature Reviewmentioning

confidence: 99%

Bridging the digital divide: the impact of technological innovation on income inequality and human interactions

Xiao,

Xu,

Skare

et al. 2024

Humanit Soc Sci Commun

View full text Add to dashboard Cite

show abstract

“…Researchers [15] studied the ecological footprint of E7 countries from 1990 to 2017 and how it affects health outcomes. They analyzed this relationship using two models: Panel Fully Modified Ordinary Least Square (FMOLS) and Dynamic Ordinary Least Square (DOLS).…”

Section: Introductionmentioning

confidence: 99%

The Effects of Toxic Air Pollutants and Environmental Health on Public Health in Saudi Arabia

Zaidan,

Al-Wathinani,

Arbaein

2024

Pol. J. Environ. Stud.

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Environmental health is one of the public health domains determined by physical, chemical, biological, social, and psychosocial factors. The current improvement and success in terms of technology, society, and the provision of multiple services after the Industrial Revolution were accompanied by a massive toll of air pollutants that were introduced and emitted into the air, causing global public health issues. It is crucial to understand how harmful air pollutants affect ecological health and the economic consequences of such effects. This study examined the relationship between Environmental Health assessed by CO Carbon Monoxide per capita (CO), Public Health Expenditures per capita (PHE), Toxic Air Pollution (PM₂.₅ and NO₂), and Life Expectancy (LE), using the novel statistical model Bootstrap Autoregressive Distributed Lag (BARDL), for period data from 1990 to 2022 in Saudi Arabia. Results showed no cointegrating relationship and a negative one-way causal relationship between CO, NO₂, PM₂.₅, and LE. Moreover, a positive two-way causal relationship was found between PHE and LE. Saudi Arabia initiated several strategies that aim to reduce environmental pollution and improve the overall quality of air, a step that will promote healthy living and have a vast positive economic impact in the long run.

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“…In this regard, the identification of problems in the functioning of Russian energy companies and the methodology for assessing the risks of sustainable development have considerable practical significance. Due to the high importance of the activities of energy companies for the economic development of the country, it is advisable to use modified and integrated approaches using methods of system analysis and integral ranking for data analysis, along with standard approaches [1][2][3]. Under these conditions, it is unacceptable to use barometric methods that are based on forecasting the simulated system based on the most important indicators measured at the present time.…”

Section: Introductionmentioning

confidence: 99%

Rating of Stability of Russian Companies in Oil and Gas and Electric Power Industries Based on Interval Volatility

et al. 2023

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The authors propose an instrumental apparatus for calculating the ratings of Russian companies in the oil and gas and electric power industries based on a weighting method, risk assessment using the minimax criterion and an intellectual tree structure. The relevance of the developed system is justified by the need to create Russian rating systems for companies that will represent their actual state and place in the analyzed group. The problem of data redundancy has been solved by using the hierarchical principle for the isolated indexing of absolute and relative indicators from the financial statements of the companies in question into sub-indexes, with further integral indexing and correction for the volatility of changes over the past three years. The authors used a financial analytics apparatus based on the regular financial (accounting) statements of companies according to accepted forms, and balance sheets and reports on financial results were applied. The authors developed and tested a methodology for sub-indexing important indicators of financial statements: capital structure—equity, debt capital, highly liquid assets (cash and settlement accounts in reliable banks, short-term financial investments) and net profit. Based on the results of the analysis, recommendations are provided for the long-term development of the energy business.

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Do Technological Innovation and Financial Development Affect Inequality? Evidence from BRICS Countries

Cited by 6 publications

References 51 publications

Bridging the digital divide: the impact of technological innovation on income inequality and human interactions

Bridging the digital divide: the impact of technological innovation on income inequality and human interactions

The Effects of Toxic Air Pollutants and Environmental Health on Public Health in Saudi Arabia

Rating of Stability of Russian Companies in Oil and Gas and Electric Power Industries Based on Interval Volatility

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