The digital economy is considered as an effective measure to mitigate the negative economic impact of the Corona Virus Disease 2019 (COVID-19) epidemic. However, few studies evaluated the role of digital economy on the economic growth of countries along the “Belt and Road” and the impact of COVID-19 on their digital industries. This study constructed a comprehensive evaluation index system and applied a panel data regression model to empirically analyze the impact of digital economy on the economic growth of countries along the “Belt and Road” before COVID-19. Then, a Global Trade Analysis Project (GTAP) model was used to examine the impact of COVID-19 on their digital industries and trade pattern. Our results show that although there is an obvious regional imbalance in the digital economy development in countries along the “Belt and Road”, the digital economy has a significantly positive effect on their economic growth. The main impact mechanism is through promoting industrial structure upgrading, the total employment and restructuring of employment. Furthermore, COVID-19 has generally boosted the demand for the digital industries, and the impact from the demand side is much larger than that from the supply side. Specifically, the digital industries in Armenia, Israel, Latvia and Estonia have shown great growth potential during the epidemic. On the contrast, COVID-19 has brought adverse impacts to the digital industries in Ukraine, Egypt, Turkey, and the Philippines. The development strategies are proposed to bridge the “digital divide” of countries along the “Belt and Road,” and to strengthen the driving effect of the digital economy on industrial upgrading, employment and trade in the post-COVID-19 era.

Relying on the digital economy may help reconcile contradictions between the need to improve quality of life (QoL) and the need to reduce carbon emissions. Yet, previous research has not systematically explored the correlation between the digital economy, QoL, and carbon emissions. This paper explores the influence of the digital economy and of changes in QoL on carbon emissions, using a system Generalized Method of Moments (GMM) model. To do this we first use principal component analysis to calculate an objective QoL and a digital economy index using provincial panel data in China from 2006 to 2018. The results demonstrate that both the digital economy and QoL exhibit inverted U-shaped effects on carbon emissions. Our results also show that the growth of the digital economy improves QoL while mitigating the influence of QoL on carbon emissions. Thus, these findings illustrate that policymakers can rely upon the digital economy to help reconcile potential conflicts that arise between QoL and carbon emission reduction goals. Overall, these findings add a new dimension to carbon reduction policies. We propose that policymakers can improve QoL and reduce carbon emissions by coordinating the scale and efficiency-enhancing effects of developing the digital economy. In addition, regions that rely on energy industries should consider the efficiency-enhancing effect of the digital economy when formulating provincial and national emission reduction policies. Key policy insights

The carbon-labeling system is able to quantify the level of greenhouse gas emissions of goods throughout their life cycle, including production, delivery, and consumption. With the proposal of carbon peak and carbon neutrality goals, the carbon-labeling system has an inevitable impact on production by companies and the purchase behavior of consumers. This paper constructs a theoretical model of the influencing mechanism on consumer willingness to purchase carbon-labeled products by utilizing the theory of consumption values. Through a survey and analysis of a sample of 347 Chinese university students, a regression analysis is applied to explore their willingness to consume carbon-labeled products and the corresponding influencing factors. The results show that (1) despite relatively low public awareness of the carbon-labeling system, the willingness to purchase carbon-labeled products is strong; (2) functional value, emotional value, and epistemic value can positively influence customer willingness to purchase carbon-labelled products; and (3) there is a significant difference in the willingness to purchase carbon-labelled products in terms of age and no significant difference in terms of gender, income, occupation, and education level. Based on the findings, some recommendations are made to help companies adopt appropriate strategies to trigger consumers’ purchase intentions and gain a market advantage in carbon-labeling scenarios.