Volume 18 Issue 1
Published on March 2025Against the backdrop of a complex and ever-changing global economy, with countries seeking effective policies to stimulate consumption, this paper aims to revisit the relationship between monetary policy and consumption. A dynamic model is constructed, and data from the United States spanning from 1972 to 2024 is collected for empirical analysis using methods such as OLS and GLS. The results show that the growth rate of personal consumption is positively correlated with the rate of capital return, while the impact of wage growth is not significant. When labor time remains unchanged, the wage growth rate is positively correlated with the capital return rate. The conclusion indicates that expansionary monetary policy has no direct link to increased consumption; rather, an increase in personal consumption is more dependent on capital income than labor income.
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The introduction of digital technologies into agricultural production and the development of rural digital economies are key pathways for achieving both “efficient” and “low-carbon” agricultural development. As a major agricultural province in China, Henan Province is striving to develop its rural digital economy and introduce digital technologies to advance smart agriculture, thereby leading the province’s agricultural transformation towards green and low-carbon practices in order to meet the “dual carbon” goals. In this regard, this paper explains the theoretical logic behind the carbon emission reduction effects of introducing agricultural digitalization technologies, based on the triple normative theory paradigm and spatiotemporal dynamic effect theory. Additionally, using panel data from municipalities in Henan Province spanning from 2011 to 2020, the paper conducts an empirical analysis of the mechanisms underlying carbon emission reduction effects. The results, from the perspectives of baseline regression and robustness testing, demonstrate the existence of such effects. Furthermore, this paper employs a spatial Durbin model with dual fixed effects to examine the spatial spillover effects of agricultural carbon reduction, proving that the introduction of agricultural digitalization technology has a positive impact on carbon emission reduction in neighboring regions. Based on both the theoretical logic and empirical analysis, this paper provides policy recommendations for Henan Province to develop green, low-carbon agriculture and enhance the carbon emission reduction effects of agricultural digitalization technologies, thereby offering theoretical support for the province’s transition to greener and low-carbon agricultural development.
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The Chengdu-Chongqing Twin-City Economic Circle, as an important strategic urban cluster in western China, has made significant achievements in the integration and development of tourism and finance, leveraging its tourism resources and strong financial potential. However, due to limitations in regional resources and economic development, the integration of tourism and finance in this area faces prominent issues, such as significant regional disparities and inefficient mobility between areas. This paper measures the tourism financial efficiency in the Chengdu-Chongqing Twin-City Economic Circle from 2011 to 2019 using the DEA-Malmquist model. After understanding the basic characteristics of tourism-finance integration in the region, the GeoDetector method is applied to calculate the main influencing factors of tourism financial efficiency. Based on the empirical research results, certain recommendations are made to provide decision support for industrial integration in related regions.
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With the rapid development of AI technology, AI live streaming commerce has gradually become an important way for enterprises to interact with consumers. However, how to enhance consumers' purchase willingness through effective design is still a key problem in theory and practice. This study focuses on the influence of gamification drivers on consumers' purchase intention. Based on Octalysis Gamification Framework, a configuration model including eight condition variables and one outcome variable is constructed, and multiple reconfiguration paths are revealed by fuzzy set qualitative comparison analysis (fsQCA). The results show that the seven intermediate solution paths show the promotion effect of different gamification types on consumers' purchase intention, which respectively reflect various mechanisms. Further analysis shows that epic meaning is the core conjunctural conditions affecting all paths, while scarcity, unknown and loss avoidance form alternative conditions. This study enriches the application of Octalysis Gamification Framework in AI live streaming commerce scenarios from the theoretical level, expands the perspective of the configuration of gamification mechanism's impact on consumer behavior, and provides a new way to understand the multi-factor interaction in complex business scenarios. From the practical level, it provides specific guidance for live streaming platforms and brands to design gamification strategies, and suggests that consumers' participation and purchase intention can be further enhanced by strengthening the sense of mission, designing limited-time interactive activities and optimizing human-computer interaction scenarios.
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In the context of the intelligent era, the rapid development of technologies such as big data, cloud computing, and artificial intelligence has raised new challenges and requirements for the quality of accounting information. The demands of accounting information users have presented diversified characteristics, including an increased need for future information, relevance, timeliness, non-financial information, and unstructured data. These changes have exerted a profound influence on the quality characteristics of accounting information, such as the potential impact of irrelevant information, new challenges to completeness, the double-edged sword effect of timeliness, and greater difficulty in regulation and reliability issues. To adapt to these changes, the quality characteristics of accounting information need to fulfill new requirements such as faithful representation, completeness, traceability, and measurement accuracy. To guarantee the quality of accounting information, this paper puts forward safeguard measures like the application of intelligent technologies for collaborative data collection, enhancement of the professional skills of accounting personnel, establishment of an accounting information disclosure and analysis center, and strengthening of external supervision.
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In 2010, the German government officially initiated the Energiewende as the concept underpinning its energy transition, a plan to shift from nuclear and fossil fuels to renewables towards Green Germany. At the intersection of corporate activities and public policy, this dissertation aims to analyse the roles of corporations in facilitating the German Energiewende from the lens of stakeholder theory. It begins with unpacking the German Energiewende and corporate engagement with public policy. Then in the case of Siemens, it delves deeper into its non-market strategies in promoting renewables use, lobbying activities, decarbonisation cooperation and green finance. Siemens’s non-market strategies are categorized into three roles: strategic adaptor, innovator and investor. From the lens of stakeholder theory, enterprises effectively interact with various stakeholders to jointly facilitate the formation and implementation of the German Energiewende. Overall, it examines the engagement of the private sector in public energy policies and offers insights into the broader discourse on long-term energy transition towards sustainability.
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