Digital Technologies for Urban Metabolism Efficiency: Lessons from Urban Agenda Partnership on Circular Economy

Digital economy impact on inclusive green growth: intermediary and spatial spillover effects in China

As a new economic form that has emerged from the technological and digital revolution, the digital economy has great benefits to the green development of the economy, protection of the ecological environment, and improvement in social well-being. This study examines whether the digital economy affects the inclusive green growth (IGG). Measurement index system for the digital economy and IGG from 2013 to 2020 in China was constructed and the entropy evaluation method and super-efficiency epsilon-based measure (Super-EBM) model was used to evaluate them. We examined the direct effect, mediation effect, and spatial spillover effect of the digital economy on IGG using the basic regression model, mediating effect model, and the spatial Durbin model. Our results revealed that the development of the digital economy has clear regional differences. The role of digital economy on IGG has positive direct effects and positive spatial spillover effects. The digital economy affects IGG through industrial structure upgrading, so industrial structure upgrading has a significant intermediary effect. By comparing the coefficients, we found that the spatial spillover effects are stronger than the direct effects. Absorbing the spillover of the digital economy in surrounding areas is particularly important for promoting IGG. Heterogeneity analysis revealed that the digital economy is better for IGG and releases more digital dividends in eastern China. Finally, the research conclusions of this paper provide reference for the Chinese government to formulate relevant policies to deepen the integration of digital information technology and IGG, and promote the coordinated development of regional digital economy and IGG.

Evaluation of Industrial Green Transformation in the Process of Urbanization: Regional Difference Analysis in China

Population mobility and the expansion of construction land in industrial development promote urbanization, and the sustainable development of cities creates requirements for the green transformation of industry. This paper uses the directional distance function (DDF) and the global Malmquist–Luenberger (GML) index method—including urbanization factors—to calculate the industrial green transformation (IGT) index in China, and to analyze its evolution and spatial distribution characteristics. The results show that ignoring the urbanization factor will lead to the overestimation of the IGT. The growth of the index has multiple stages, and it shows a decreasing order in the middle, east and west regions. Overall, the distribution of the index spreads out over time, and the gap widens. In terms of spatial correlation, high values are mostly concentrated in the eastern region and low values are mostly concentrated in the western region, and the gap in the eastern region is larger than those in the central and western regions. Therefore, in addition to the transformation of industrial production into a circular economy model, it is also necessary to promote the circulation of technical talent between regions in the development of urbanization, reducing the unbalanced development between regions and comprehensively promoting the green transformation of industry.

Smart and Sustainable Bioeconomy Platform: A New Approach towards Sustainability

The smart and sustainable bioeconomy represents a comprehensive perspective, in which economic, social, environmental, and technological dimensions are considered simultaneously in the planning, monitoring, evaluating, and redefining of processes and operations. In this context of profound transformation driven by rapid urbanization and digitalization, participatory and interactive strategies and practices have become fundamental to support policymakers, entrepreneurs, and citizens in the transition towards a smart and sustainable bioeconomy. This approach is applied by numerous countries around the world in order to redefine their strategy of sustainable and technology-assisted development. Specifically, real-time monitoring stations, sensors, Internet of Things (IoT), smart grids, GPS tracking systems, and Blockchain aim to develop and strengthen the quality and efficiency of the circularity of economic, social, and environmental resources. In this sense, this study proposes a systematic review of the literature of smart and sustainable bioeconomy strategies and practices implemented worldwide in order to develop a platform capable of integrating holistically the following phases: (1) planning and stakeholder management; (2) identification of social, economic, environmental, and technological dimensions; and (3) goals. The results of this analysis emphasise an innovative and under-treated perspective, further stimulating knowledge in the theoretical and managerial debate on the smart and sustainable aspects of the bioeconomy, which mainly concern the following: (a) the proactive involvement of stakeholders in planning; (b) the improvement of efficiency and quality of economic, social, environmental, and technological flows; and (c) the reinforcement of the integration between smartness and sustainability.

Innovation Trajectories for a Society 5.0

Big Data, the Internet of Things, and robotic and augmented realities are just some of the technologies that belong to Industry 4.0. These technologies improve working conditions and increase productivity and the quality of industry production. However, they can also improve life and society as a whole. A new perspective is oriented towards social well-being and it is called Society 5.0. Industry 4.0 supports the transition to the new society, but other drivers are also needed. To guide the transition, it is necessary to identify the enabling factors that integrate Industry 4.0. A conceptual framework was developed in which these factors were identified through a literature review and the analytical hierarchy process (AHP) methodology. Furthermore, the way in which they relate was evaluated with the help of the interpretive structural modeling (ISM) methodology. The proposed framework fills a research gap, which has not yet consolidated a strategy that includes all aspects of Society 5.0. As a result, the main driver, in addition to technology, is international politics.

The Evolution of Sustainability: The Automotive Supply Chain Opportunity in Southern Italy

This Special Issue titled “Assessment of Socio-Economic Sustainability and Resilience after COVID-19” aims to propose the positive relationship between sustainability and resilience across multiple sectors [...]