Digitalization, income inequality, and public health: Evidence from developing countries

How does digital literacy affect the health status of senior citizens? Micro-level evidence from the CFPS data

BACKGROUND

The popularization of the Internet and digital technology has called for higher digital literacy among citizens, especially the elderly. However, most existing studies didn't measure digital literacy at the micro level, and the impact mechanism has rarely been discussed. The purpose of this study is to clarify whether and how digital literacy affects the health status of senior citizens.

METHODS

The data used in this study are collected from the China Family Panel Studies (CFPS) from three periods: 2016, 2018, and 2020. The balanced panel data comprised 7836 samples, with 2612 samples per year. Based on the CFPS data, this study constructs a balanced panel and employs a two-way fixed-effects model for the estimation. The instrumental variable (IV) method is employed for tackling the endogenous problems. Next, the mediation effect model is applied to identify the influencing mechanism.

RESULTS

First, digital literacy can improve the health status of senior citizens. This result remains valid after introducing lagged explanatory variables and addressing the endogeneity issues. Second, social support acts as a partial mediator in the relationship between digital literacy and the health status of senior citizens. Third, the heterogeneity analysis reveals that the effect of digital literacy on the health status of senior citizens varies across age groups, urban-rural types, and education levels.

CONCLUSIONS

This study examines the impact of digital literacy on the health status of senior citizens at the micro-level and identifies the mediation mechanism. The results enhance our understanding of the positive effects of digitalization on aging society and offer useful insights for the government in formulating more targeted active aging strategies.

The impact of digital technology on health inequality: evidence from China

BACKGROUND

With the rapid development of digital technology, it is crucial to explore at the individual microlevel whether digital technology can reduce health inequality and discuss potential transmission mechanisms.

METHODS

This study uses data from the 2020 China Health and Retirement Longitudinal Study (CHARLS 2020) and the ordinary least squares (OLS) method to estimate the impact of digital technology on health inequality. This work then discusses the potential transmission mechanisms through which digital technology influences health inequality. Finally, it analyses the heterogeneity effects of digital technology on health inequality across different groups.

RESULTS

We find that digital technology has reduced both physical and mental health inequality. Strengthening family support, enhancing health investment, and improving health behaviours are the transmission paths from digital technology to health inequality. Groups with older cohorts, females, less-educated individuals, low-income individuals, and rural individuals benefit more from physical health inequality, whereas the impact of digital technology on mental health inequality does not differ across groups.

CONCLUSION

Digital technology has a significant impact on reducing both physical and mental health inequality, with particularly notable benefits for vulnerable populations. It is imperative to focus more on the targeted effects of digital technology on these marginalized groups.

Investigating Physicians' Adoption of Telemedicine in Romania Using Technology Acceptance Model (TAM)

This study investigates Romanian physicians' acceptance of telemedicine using the Technology Acceptance Model. We analyzed 1093 responses to an online survey distributed nationwide to physicians via email by the National Authority of Quality Management in Health, employing the partial least squares algorithm to estimate the relationship between the behavioral intention to adopt telemedicine and its potential determinants. Our findings reveal that the model accounts for 84.6% of the variance in behavioral intention to use telemedicine. Among the two constructs of the TAM model, perceived usefulness is a stronger predictor of behavioral intention than perceived ease of use. Additionally, subjective norms positively and significantly influence physicians' intention to use telemedicine and their perception of its usefulness. Furthermore, perceived incentives and accessibility to medical records also positively impact the behavioral intention to use telemedicine.

The Potentials of Digital Workplace Health Promotion

Workplace Health Promotion (WHP) can sustainably impact organizations by improving employee health and strengthening legitimization. Digital Workplace Health Promotion (DWHP) may have even more impact thanks to its scope. This study reports on a hospital in Austria wherein DWPH was introduced into the existing WHP structure in combination with a digitalization effort for the entire organization. The approach was mainly quantitative with a few open questions and included a survey before and an evaluation after the project with about 240 respondents each. The use, intentions, barriers and benefits of DWHP from the employees' perspectives were reported on to evaluate the potentials of DWHP for furthering sustainable developments within organizations. While DHWP is perceived as positive, current use is low. Nevertheless, intended future use is promising and perceived benefits are higher after implementation. However, perceived barriers are still high, requiring organizational efforts.

Improving health and reducing health inequality: An innovation of digitalization?

RATIONALE

The association between digitalization and individual health has attracted increasing attention from both scholars and policymakers. Existing research, however, has not agreed on whether digitization can improve health or reduce health inequality.

OBJECTIVE

The purpose of this study is to clarify whether and how the development of digitalization may be related to health and health disparities.

METHODS

We rely on China Family Panel Studies (CFPS) surveys from 2012 to 2018 to obtain a sample of 82,471 observations to explore the impact of digitalization on self-rated health and health inequality and its transmission mechanisms. The hypotheses are tested by Ordinary Least Squares Modeling.

RESULTS

As expected, digitalization is significantly and positively correlated with self-rated health. Furthermore, the development of digitalization has led to a notable decrease in health inequality. The influencing mechanisms of digitalization include income, healthcare consumption and health behaviors. Both dimensions of digitalization-internet development and digital finance-generate significant effects and the effects of internet development are greater.

CONCLUSIONS

This study is the first to systematically investigate the impact of digitalization development on health and health inequality. Our findings provide evidence for the health promotion theory by clarifying the benefits of digitalization in improving residents' health and reducing health inequality. Therefore, utilizing the tools of digitalization efficiently could be a focus of policymakers aiming to accomplish the SDGs' health targets.

Digital health and health equity: How digital health can address healthcare disparities and improve access to quality care in Africa

The healthcare industry is constantly evolving to bridge the inequality gap and provide precision care to its diverse population. One of these approaches is the integration of digital health tools into healthcare delivery. Significant milestones such as reduced maternal mortality, rising and rapidly proliferating health tech start-ups, and the use of drones and smart devices for remote health service delivery, among others, have been reported. However, limited access to family planning, migration of health professionals, climate change, gender inequity, increased urbanization, and poor integration of private health firms into healthcare delivery rubrics continue to impair the attainment of universal health coverage and health equity. Health policy development for an integrated health system without stigma, addressing inequalities of all forms, should be implemented. Telehealth promotion, increased access to infrastructure, international collaborations, and investment in health interventions should be continuously advocated to upscale the current health landscape and achieve health equity.

Impact of digitization on carbon productivity: an empirical analysis of 136 countries

Enhancing carbon productivity (CP) is key to achieving carbon reduction goals while maintaining economic growth. Digital technology plays a significant role in improving CP. Based on panel data from 136 countries worldwide from 2000 to 2020, this study empirically examines the impact of digitalization on CP and its mechanisms using fixed-effects and mediation models. The conclusions are as follows: (1) Overall, digitalization significantly enhances CP. (2) In terms of the mechanism, digitalization primarily improves CP through technological innovation and mitigating income inequality. (3) In terms of the quantile regression results, as the quantile level of CP increases, the promoting effect of digitalization on CP gradually strengthens. (4) From the perspective of heterogeneity among regions, income levels and human capital levels, digitalization has the greatest promotion effect on carbon productivity in European countries, high-income countries and high human capital countries. This study provides a reference for policymakers worldwide to use digital technology in achieving carbon emission reduction targets.

Urban digital economy, environmental pollution, and resident's health-empirical evidence from China

In light of China's rapid advancement in the digital economy and the implementation of the "Healthy China" initiative, it is crucial to assess the impact of the digital economy on residents' health. This study analyzes data from the 2012, 2014, and 2016 China Labor Force Dynamics Survey (CLDS) to evaluate the health of residents using both subjective and objective criteria. Furthermore, it calculates the digital economy development index for Chinese cities and investigates its influence on the subjective and objective health of residents, along with the underlying mechanisms. The empirical results reveal a U-shaped pattern in the effect of the digital economy on health levels, initially detrimental but subsequently beneficial. The analysis of mechanisms shows that the digital economy's development initially increases and then decreases environmental pollution, impacting health through environmental changes. Additionally, the study finds variations in this impact based on age and urban-rural differences, with more pronounced effects on rural and older adult populations, who also experience the U-shaped curve's turning point more rapidly. These findings highlight the necessity of advancing digital economy infrastructure to positively influence environmental quality and improve public health. The study emphasizes the urgent need for policymakers to invest in digital infrastructure to foster a sustainable and healthy future. This requires a holistic approach to development, focusing on both urban and rural areas, to promote inclusive growth and reduce the digital divide.