How does trade policy uncertainty affect green innovation in the USA and China? A nonlinear perspective.

Green innovations are the most critical factor in promoting environmental sustainability worldwide. Trade can speed up the adoption of green innovations by facilitating the transfer of information, skills, and technology. However, trade policy uncertainty can create significant challenges for businesses investing in eco-innovations, leading to increased risk, reduced investment, and slower progress toward sustainable technologies. Recently, a growing number of researchers have shown their interest in finding the factors that can impact green innovations, but none have investigated the influence of trade policy uncertainty on green innovations in the USA and China. In addition, none of the past studies has relied on the nonlinear assumption. This analysis fills these gaps by examining the nonlinear impacts of trade policy uncertainty on eco-innovations in China and the USA over 2000Q1-2021Q4 by employing a nonlinear ARDL model. The finding reveals that a positive shock in trade policy uncertainty results in a decrease in green innovation in the USA and China, while a negative shock in trade policy uncertainty leads to an increase in green innovation in the USA over the long run. The nonlinear models also indicate that a positive shock in trade policy uncertainty harms green innovation in both the USA and China in the short run. The robustness of these results is confirmed by the NQARDL model, which confirms that an upsurge in trade policy uncertainty lowers green innovation in most quantiles in the USA and China in the short and long run. Conversely, negative shocks in trade policy uncertainty stimulate green innovation at most quantiles in both China and the USA, in the short and long run. Thus, policymakers need to consider the potential impact of trade policies on eco-innovations and work to create stable and predictable trade environments that support the growth of renewable technologies and other sustainable solutions.

Exploring the impact of formal and informal finance on green innovation under the lens of carbon neutrality.

In order to reduce environmental deterioration and promote sustainable growth, green innovation-which includes ecologically friendly technology and practices-has become a top priority of policymakers worldwide. This research investigates how formal and informal finance affects green innovation in highly polluted high, middle-, and low-income economies, using data spanning from 2007 to 2021. For analyzing the empirical link between formal finance, informal finance, and green innovation, we have employed the 2SLS and GMM estimation techniques. The primary estimates of the analysis suggest that formal and informal funding methods significantly impact environment-related technologies in high-income and middle- and low-income nations. Moreover, the GDP, carbon emissions, trade openness, human capital, research and development, financial stability, and digital finance are essential factors in promoting environment-related technologies in high-, middle-, and low-income nations, respectively. The policymakers in both groups of countries should foster collaboration between the formal and informal sectors to promote green innovations, which is essential for achieving sustainable development goals.

Investigating the environmental externalities of digital financial inclusion and the COVID-19 pandemic: an environmental sustainability perspective.

Financial inclusion enhances economic growth by facilitating businesses and individuals to access financial resources. Financial inclusion also contributes to environmental sustainability; however, very few studies have explored the link between financial inclusion and the environment. Also, the impact of the COVID-19 pandemic on environmental performance remains unexplored. From this perspective, this study probes the objective of whether financial inclusion and environmental performance co-move in COVID-19 in highly polluted economies. This objective is tested with the help of 2SLS and GMM approaches. The study also gets assistance from a panel quantile regression approach for empirical tasks. The results show that financial inclusion and the COVID-19 pandemic have a negative impact on CO2 emissions. Based on these findings, the study suggests that highly polluted economies should promote financial inclusion and assimilate environmental policies with financial inclusion policies to attain environment-related goals.

The Effects of the Type of Information Played in Environmentally Themed Short Videos on Social Media on People's Willingness to Protect the Environment.

This study used a 2 × 2 experimental design to explore the effects of message type (non-narrative vs. narrative information) and social media metrics (high vs. low numbers of plays) of low-carbon-themed social media short videos on people's willingness to protect the environment. Subjects completed questionnaires after viewing short videos that contained different message types and social media metrics, and a final sample of 295 cases was included in the data analysis. The study found that, while the type of information (i.e., non-narrative or narrative) of the low-carbon-themed social media short videos had no direct effect on people's willingness to protect the environment, its indirect effects were significant. These indirect effects were achieved through immersion experience and social influence. Subjects who watched narrative videos had a higher level of immersion experience, which in turn was significantly and positively correlated with environmental intention; meanwhile, those who watched non-narrative videos experienced a higher level of social influence, which in turn was significantly and positively correlated with environmental intention. In addition, subjects who viewed high-volume videos experienced a more positive effect on their willingness to protect the environment. This study explored how message design could promote subjects' perceptions and positive attitudes towards environmental protection, with important managerial implications.

How to achieve sustainable buyer-seller relationship in social commerce? The effect of network closure on ties evolution.

The fact that most buyer-seller ties in the social commerce community are easy to form but hard to keep has brought the "social bubble" into social commerce. Following the literature streams of network closure and social commerce and based on the longitudinal dataset of an online social commerce community over a year, this article explores the buyer-seller ties evolution in the social commerce community through two stages, that is, ties emergence versus ties persistence. In this study, the authors build a hazard model and estimate with a semiparametric partial likelihood method. Our results show an asymmetric effect of network closure mechanisms across different stages of buyer-seller ties evolution. In the early stage of buyer-seller ties, due to the information asymmetry, buyers usually rely on informative signals that either reflect the "popular others" (i.e., the popularity and content sharing) or the "ideal self" (i.e., the value homophily and status homophily) to form ties with sellers, which makes the community more "transactional." As very few ties can survive through the periods of 3 months or more, the normative social influence, which relies heavily on the structure of extant relationships among community members, becomes the dominant driver of ties persistence, which makes the community more "social." This study contributes to the ongoing research of network analysis and social commerce. It provides valuable tactics to sellers who want to develop long-term relationships with buyers in the social commerce community.

The role of green innovation and tourism towards carbon neutrality in Thailand: Evidence from bootstrap ADRL approach.

The recent years have been marked by the role of green tech innovation in decreasing carbon emissions worldwide to attain the carbon neutrality target. Despite many studies examining the nexus between the former and energy consumption, tech innovation's effects on CO2 releases have not been extensively researched, and the extant empirical findings are often contradictory. Also, a major concern regarding the available literature is the scarcity of papers that scan the impact of tourism on carbon emissions, even though the industry has a high potential to affect ambient air pollution. In this case, the evidence is mixed, and no consensus among academics on the relationships between the two. Therefore, this study seeks to investigate the relevance of green innovation and tourism in decreasing environmental damage in Thailand based on the bootstrapping ARDL causality model suggested by (McNown et al., 2018). This specification includes a new cointegration feature and conventional ARDL bounds tests, which increases the power of the t- and of the f-test and has several advantages, being more adequate for dynamic models with more than one explanatory variable. Our findings reveal that green innovation and tourism lead to lower environmental damage by reducing CO2 emissions, similar to foreign investments and that green tech innovation improves the environmental quality via lower carbon emissions.

The Impact of Broadcasters on Consumer's Intention to Follow Livestream Brand Community.

As the essence of livestream e-commerce is social commerce, building a livestream brand community and attracting brand followers are the key aspects to achieving sustained revenue. For many companies, inviting celebrities has become a shortcut to attract new followers. Considering the unsustainability and high cost of the celebrity host mode, some companies switched to using their own branded broadcasters to attract followers. However, as branded broadcasters lack a fan base, choosing the suitable broadcaster type has become a challenge in livestream e-commerce. The motivation of consumers to follow brand livestream accounts is mainly to obtain potential value by embedding them in social networks. Therefore, based on motive theory, this research explores how different broadcaster types affect consumer's intention to follow a livestream brand community. Results from the analysis of secondary data from livestream platforms and two laboratory experiments reveal that (1) celebrities contribute more to consumer's intention to follow than branded broadcasters, and utilitarian (vs. hedonic) products can strengthen the effect of branded (vs. celebrity) broadcasters on attracting potential followers. (2) Moreover, branded (vs. celebrity) broadcasters can promote consumer's intention to follow a livestream brand community by satisfying consumer's need for informational (vs. emotional) value during utilitarian (vs. hedonic) product evaluation. This research analyzes the differential effects of different types of broadcasters on livestream brand community building. The findings can deepen the understanding of the consumer's behavior of following brand livestream communities and provide companies with suggestions on broadcaster selection in livestream e-commerce.