Using a panel data set from 2007 to 2019, we empirically evaluate the impact of carbon capture, utilization, and storage (CCUS) technology innovation on green total factor productivity (GTFP). The findings show that (1) CCUS technology innovation significantly improves GTFP. (2) CCUS technology innovation significantly contributes to GTFP by promoting industrial structure upgrading and carbon emissions efficiency. (3) Environmental regulation plays a positive moderating role in the nexus between CCUS technology innovation and GTFP. The findings of this paper provide guidance for China to achieve green energy transition and build a green energy system.

Environmental, Society, and Governance (ESG) investments have become increasingly popular in recent years, and, at the same time, many rating agencies provide ESG scores for each company. This means that the ESG investment model may have moved from the traditional two-factor model of risk-return to a three-factor model adding an ESG component to it. This paper highlights the potential for distortion of asset allocation through the shift from traditional risk-return considerations to ESG score considerations. This is equally true for green bonds, resulting in the potential for asset allocation to be distorted by green bond criteria. Furthermore, we show that imposing a net carbon tax on greenhouse gas (GHG) emissions is a measure to correct this distortion in asset allocation and make asset allocation more risk-return based, in addressing global environmental issues.

This paper explores the methods and policies that could enhance the financial connectivity between Europe and Asia in infrastructure investments. We argue that if Asian governments agree to enter into a long-term repayment commitment with a share of spillover tax revenues of public infrastructure projects under a regulatory framework, it could attract European long-term institutional funds in Asia's infrastructure projects. This approach will reduce divergence in infrastructure between the two regions and encourage regional connectivity. With some empirical evidence, this paper highlights the operational risks and methods of sharing spillover revenue for infrastructure projects.

This study is the first attempt to investigate the patterns of imports and exports between the Russian Federation and East/Southeast Asian economies, namely, the People's Republic of China; Hong Kong, China; Macau, China; Japan; the Republic of Korea; Mongolia; Cambodia; Lao People's Democratic Republic; Brunei; Indonesia; Malaysia; Myanmar; the Philippines; Singapore; Thailand; and Vietnam. To this end, a panel gravity trade model with series from 2001 to 2017 is provided to estimate the gravity variables in our models. The results reveal that GDP and income are more important in the export pattern from the Russian Federation to the East Asian region, meaning that the economic size and the income of the population in East Asian economies are more important in this pattern than other variables. Moreover, Russia's export pattern with the East Asian region follows the Heckscher–Ohlin hypothesis, while Russia's import pattern with this region is in line with the Linder hypothesis.