• Energy Research

China aims to reduce its carbon dioxide emissions and promote green growth. This study aims to examine the effect of banking sector performance indicators (banks assets and return on asset) and financial inclusion on renewable energy consumption, green growth, and carbon emissions for China from 1995 to 2020 using the ARDL approach. The long-run results suggest that bank assets increase renewable energy consumption and green growth. While return on assets also increases green growth and decreases carbon emission in the long run. Financial inclusion enhances renewable energy consumption and green growth, curbing CO2 emissions. Banking sector performance and financial inclusion have short-run effects on renewable energy consumption, green growth, and carbon dixoside emissions. The findings thus point to the need for policies that promote banking sector performance and financial inclusion to boost green growth and alleviate CO2 emissions.

A rapidly graying population has coincided with the widespread use of information technology (IT) since the turn of the 20th century. As the elderly are less familiar with IT, paying attention to the acceptance of the rapidly evolving digital marketing ecosystem is essential. Engagement with consumers and M-technologies is one of the most significant aspects of the digital marketing environment. The technology acceptance model (TAM) and the theory of planned behavior (TPB) were used to develop the theoretical framework of this study. Using technological anxiety as a moderating variable, we tested the theoretical model linking perceived value, subjective norm, effort expectancy, performance expectancy, and self-efficacy to measure older adults’ attitudes and intentions toward M-technology. Sample sizes of 251 respondents were selected with 95% confidence. To analyze the relationships between the variables proposed, structural equation modeling (SEM) was implemented. The results revealed that perceived value positively affects performance expectancy, effort expectancy, self-efficacy, subjective norm, attitude, and intention to adopt M-technology. Furthermore, technology anxiety moderated the effect of intention toward M-technology. The results explain that technology anxiety dampens the positive impact of the attitude of older adults on their intention to adopt M-technology. Managers must address this issue while developing marketing strategies for elderly consumers.

The global value chain has promoted foreign direct investments in emerging markets. Not only resources but also public policies can affect the inflows or outflows of foreign direct investments (FDI). This study investigates the effect of economic policy uncertainty on net foreign direct investment inflows in 48 Asian countries. We use the panel dataset from different sources from 1995 to 2020. Our core dependent variable is net foreign direct investment inflows, and the explanatory variable is economic policy uncertainty. The study’s control variables include trade, GDP per capita, GDP growth, population, financial development, inflation, and employment. We use the generalized system method of moment (SYS_GMM). Furthermore, the robustness of our empirical results is checked by using the different proxy variables of policy uncertainty. Our results confirm the negative effect of policy uncertainty on foreign direct investment inflows in 48 Asian countries. Our results show that foreign investment inflows are more sensitive than domestic investment. The influence of domestic and global uncertainty on inward FDI is greater than domestic investment. Furthermore, the interaction effect of financial development (FD) shows that FD does not affect mitigation of the negative impact of global economic policy uncertainty on foreign investment inflow. In contrast, FD mitigates the adverse effects of domestic policy uncertainty on foreign and domestic investment. The findings imply that policies need to be attractive, effective, and transparent to woo FDI to the emerging markets.