This study investigated the impact of economic, environmental, and social indicators on inclusive growth in 19 member countries of the Asian Cooperation Dialogue from 1995 to 2021. This research employed the Driscoll–Kraay standard error regression technique. The findings reveal that the impact of independent variables on inclusive growth differs significantly among three distinct income categories: lower-middle-income countries (LMYCs), upper-middle-income countries (UMYCs), and high-income countries (HYCs). One of the primary contributions of this research is the provision of empirical evidence concerning the role played by fishery and aquaculture production in fostering inclusive growth in the Asian context. This research also highlights the trade-offs between economic development and environmental sustainability in terms of trade openness; agriculture, forestry, and fishing; the ecological footprint; and renewable energy utilization. Enhancing inclusive growth in Asia requires improving fishery and aquaculture management, diversifying economic activities, reducing the ecological footprint, and increasing renewable energy utilization. This paper suggests some future work directions for extending the analysis to other regions and indicators. The paper also suggests some policy implications for fostering inclusive growth in Asia through regional cooperation, capacity building, technology transfer, and green financing.

In this present age, innovation has become inextricably tied to both long-term economic growth and environmentally sound development. In this context, the impact that environmentally focused technological advancements or innovations have on environmental quality is of the utmost importance. Therefore, the main goal of the present study is to determine how Green innovation (GI) affects environmental degradation in the BRICS countries from 1992 to 2021. The ecological footprint (EFT) is an indicator used in the study to measure environmental degradation. The study divides the components that contribute to the explanation into two categories: the GI threshold variable and the independent variables RE, GDP, and population (POP). Additionally, this study investigates the indirect impact of RE, GDP, and POP through the threshold effect of GI. The stochastic impacts of the explanatory factors are explored using sophisticated panel data estimation methods and a panel threshold model. According to the findings of the study, an improvement in environmental quality occurs when the threshold level of GI is achieved, which indicates that innovation in the form of a lower EFT is responsible for the improvement. In light of the findings, recommendations for policymakers and stakeholders in BRICS countries are to promote RE and drive GI.

The Internet of Things (IoT) has gotten a lot of attention as a next-generation Internet application, and its realization, which connects things, people, and things, is the focal point of a new round of high-tech competition around the world. Network technology has a significant impact on peoples lives today, thanks to the rapid development of the Internet, and the Internet of Things (IoT) is a technological innovation of the times that promotes the development of information technology. The Internet of Things has given the logistics industry a new lease on life, allowing it to grow more intelligently. The modern logistics industry is a modern service industry that includes transportation, warehousing, freight forwarding, information, and other industries, and it is very important. This paper examines the technical system of the Internet of Things and the logistics economic management mode, as well as the impact of the Internet of Things on logistics economic management. A multidimensional collaborative management model of environment and economy is proposed, based on the background of IoT. It has laid the groundwork for the IoTs application and development in the logistics economy.