The Impact of Digital Economy on the Economic Growth and the Development Strategies in the post-COVID-19 Era: Evidence From Countries Along the "Belt and Road"

Study on the impact of digital economy on industrial collaborative agglomeration: Evidence from manufacturing and productive service industries

In the digital era, digital economy has a far-reaching impact on the collaborative agglomeration of manufacturing and service industries. This research aims to examine the economic relationship between digital economy and industrial collaborative agglomeration. Based on a panel data set of 286 Chinese cities, this research employs Tobit model, moderating effect model, and mediating effect model to conduct data analysis. It is found that digital economy has a nonlinear relationship with industrial collaborative agglomeration, and this relationship is a U-shape. Moderating effect analysis reveals that government intervention significantly regulates the role of digital economy in industrial collaborative agglomeration. Mediating effect analysis indicates that digital economy promotes industrial collaborative agglomeration through entrepreneurial activity. Heterogeneity analysis shows that the facilitating effect of digital economy on collaborative agglomeration in high-end industries comes earlier than in middle- and low-end industries. Moreover, this research finds that digital economy plays a significant role in industrial collaborative agglomeration in central and western regions of China but not in the eastern region. To enhance the impact of digital economy on industrial collaborative agglomeration, it is crucial to strengthen the engagement of the government and ensure the availability of digital technology.

Does the digital economy promote or inhibit income inequality?

Digitalisation and technological developments are profoundly changing the socioeconomic structure of society and people's lifestyles, which may have a significant impact on the distribution of income among different groups of people. This study conducted a quantitative investigation into the impact of the digital economy on income inequality based on the skill bias theory. First, empirical model analysis showed that digital economy has a linear dampening effect on income inequality and that there is no non-linear relationship. Then, the study analyzed the mechanisms underlying this relationship, which revealed that mining and remittances suppress income inequality in the presence of digital economy, while government spending promotes income inequality. Finally, heterogeneity analysis indicated that the suppressive impact of digital economy on income inequality in capitalist countries is stronger than in ex-communist countries. These findings will not only help to achieve social equity, but also provide a strategic direction for economic development to make the dividends of the digital economy more inclusive.

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.

Impacts of the COVID-19 pandemic on the social sphere and lessons for crisis management: a literature review

The COVID-19 pandemic is the most difficult challenge that has affected humanity in recent decades. It has disrupted many features of development with domino effects in the social sphere. This study reviews the literature on the social effects of the COVID-19 pandemic and identifies the affected social areas that have undergone dramatic changes during the pandemic. We use inductive content analysis and thematic analysis to review the literature. The results show that there are seven major areas that have been negatively affected by the COVID-19 pandemic: health, social vulnerability, education, social capital, social relationships, social mobility, and social welfare. The literature has reported dramatic psychological and emotional effects, exacerbation of segregation and poverty, disruption in educational systems and formation of an information gap, as well as a declining trends of social capital among communities. We highlight some lessons that can be learned from the pandemic to enhance social resilience in future. Among others, to effectively respond to the pandemic and other potential future adverse events, governments should adopt fair policies, identify the required changes in the socially affected contexts and take necessary responsive actions, and adopt collaboratively designed approaches to increase social resilience.

Impacts of COVID-19 Travel Restriction Policies on the Traffic Quality of the National and Provincial Trunk Highway Network: A Case Study of Shaanxi Province

According to recent research, the COVID-19 pandemic has impacted road traffic quality. This study aims to analyze the impacts of COVID-19 travel restriction policies on the traffic quality of the national and provincial trunk highway network (NPTHN) in Shaanxi Province. We collected the traffic data of the NPTHN for three consecutive years (from 2019 to 2021), before and after the COVID-19 outbreak, including weekly average daily traffic, weekly traffic interruption times, weekly traffic control time, weekly traffic accidents, weekly traffic injuries, and weekly traffic deaths. Using descriptive statistics and dynamic analysis methods, we studied the safety and service levels of the NPTHN. We set up an assessment model of the NPTHN operational orderliness through dissipative structure theory and entropy theory to study the operational orderliness of the NPTHN. Results show that in 2020, the service level, safety level, and operational orderliness of the NPTHN dropped to the lowest levels. The pandemic was gradually brought under control, and the travel restriction policies were gradually reduced and lifted. The adverse impacts on the operational orderliness of the NPTHN decreased, but the operational orderliness did not yet recover to the pre-pandemic level. Meanwhile, the service and safety levels of the NPTHN did not recover. Taken together, the COVID-19 travel restriction policies had adverse impacts on the traffic quality of the NPTHN in Shaanxi Province.

Theoretical and Methodological Aspects of Innovative-Industrial Cluster Development in the Era of Digitalization

This article summarizes the arguments and counterarguments within the scientific debate on the identification of the main theoretical and practical principles of the functioning of innovative-industrial clusters in different countries, as well as the formalization of the impact of digitalization on their activities. The article summarizes scientific approaches to determining the main characteristics and features of the functioning of innovation-industrial clusters. In order to substantiate the theoretical background of the relationship between innovation-industrial clusters’ performance and digitalization processes, a bibliometric analysis of the main Scopus publications in this direction is carried out using the VOSviewer toolkit. That made it possible to identify the main essential and contextual clusters of scientific research on relevant topics to characterize the evolutionary patterns of their changes during the analysis period. In order to determine the empirical causality of the impact of digitalization on innovative and industrial development, an integral indicator of innovative and industrial development is developed. The Index considers the measurement parameters and regional features of industrial, entrepreneurial, and innovative development. Indicators were integrated using the principal components analysis and additive convolution. The study modelled the influence proxies of the digital economy on the integrated indicator of innovative and industrial development using panel data regression modelling in the Stata 14.2/SE software. In the paper, it is also identified those determinants of the digital development of the state that depends to the greatest extent on the volatility of the innovative and industrial development of the country using one-factor regression models. The study is conducted for the country sample with 10 countries, including Azerbaijan, Estonia, Georgia, Kazakhstan, Kyrgyzstan, Latvia, Lithuania, Poland, Romania, and Ukraine. The time horizon of the study covers the period 2009-2021 (or the latest available period). The research results can be useful to scientists, state authorities, and local governments.