Determining transportation routes is of great importance for advancing China-Russian gas cooperation, which has been hanging in the balance. This paper employs a general equilibrium model to assess the congestion cost of diversified gas transmission schemes between China and Russia on domestic...

This paper investigates the long-run nexus between wealth inequality and aggregate output using a DSGE model in which wealth inequality endogenously affects individual entrepreneurship incentives, thereby influencing aggregate output. Our model passes the indirect inference test against the UK...

Open innovation serves as a critical pathway for aligning Sustainable Business Models (SBMs) with the dual imperatives of the sustainable economy and the digital economy. This editorial review synthesizes insights from theoretical frameworks, particularly the Resource-Based View (RBV) and...

We apply the Systematic Literature Review (SLR) approach to surveying empirical studies on urban land value. We show that research attention is directed by market size and data availability towards developed economies and residential land. Two distinct patterns of literature evolution emerge,...

Artificial intelligence (AI) is crucial in achieving the carbon peak and neutrality goals and mitigating climate change. Although previous studies have explored cross-sectional differences in corporate carbon emissions, temporal heterogeneities in firm lifecycles have been overlooked. Therefore,...

This paper empirically explores the early development of insurance projects in the decentralized finance (DeFi) industry, which is based on disruptive technologies like blockchain and smart contracts. A brief history of DeFi is narrated stressing four risks of DeFi (volatility risk, cyberattack...

Purpose - This research aims to investigate the causal relationships among collaborative innovation, R&D human capital, and sustainable innovation. Emphasize the mediating role of R&D human capital in the link between collaborative innovation and sustainable innovation....

This paper proposes a nonlinear teaching approach, based on learning theories in cognitive psychology, with a special focus on large-cohort economics modules. The fundamental rationale is to match the features of teaching with the nature of learning. This approach was implemented in an...