https://hdl.handle.net/20.500.12852/92 Tue, 28 Apr 2026 13:19:13 GMT 2026-04-28T13:19:13Z https://hdl.handle.net/20.500.12852/3791 The moderating roles of tariffs and exchange rates on ASEAN trade facilitation indices and China's cross-border e-commerce export scale Yang, Yun This study aimed to determine the moderating role of tariffs and exchange rate on ASEAN countries Trade Facilitation Indices and China's Cross-Border E-Commerce Export Scale. Based on the characteristics of the development of CBEC, it constructed a trade facilitation evaluation system containing 4 primary indicators and 14 secondary indicators. The trade facilitation indices of ASEAN countries 2018-2022 countries was evaluated and compared using principal component analysis. An empirical research was conducted base on gravity model regression. The dependent variable of the model is China's CBEC export scale, the independent variable is the trade facilitation indices, and the rest of the explanatory variables include the GDP of the trading partner country, the total population, and the geographical distance between the two countries. This paper took tariff level and exchange rate as moderating variables and tests the moderating effect through regression analysis. The results of the empirical study showed that the trade facilitation index of ASEAN countries has a significant positive influence on China's CBEC exports. The tariff level and exchange rate have a negative moderating effect on the relationship between the independent variable is the trade facilitation index and the dependent variable CBEC exports. This implies in order to promote the development of CBEC exports, ASEAN countries may focus on promoting the trade facilitation. At the same time, attention should be paid to the influence of tariffs and exchange rates on CBEC exports to build a China-ASEAN free trade area. Abstract only Sun, 01 Dec 2024 00:00:00 GMT https://hdl.handle.net/20.500.12852/3791 2024-12-01T00:00:00Z https://hdl.handle.net/20.500.12852/3626 The moderating roles of financing return and attention effects of digital economy index and green financing development among small and medium enterprises (SMEs) Li, Dan This study aimed to explore the relationship between the digital economy index and the development of green financing among small and medium enterprises (SMEs) in China, and to examine the moderating roles of financing, return, and attention effects on this relationship. Utilizing a quantitative research design and secondary research method, data was collected from various databases and reports, covering green SMEs listed on the GEM and NEEQ from 2018 to 2022. Data was processed and analyzed using SPSS and Stata software. Principal component analysis was employed to construct the digital economy index, while descriptive statistical analysis, correlation analysis, and regression analysis were conducted to examine the relationship between the digital economy index and green financing development. Additionally, moderating effect models were established to assess the roles of financing, return, and attention effects. Despite a low overall level, the findings revealed consistent growth in the digital economy index and a positive trend in green financing development. The financing effect eased SME financing constraints, the return effect reduced financial asset return disparities, and the attention effect increased public and investor interest in green SMEs. Correlation and regression analyses revealed a significant positive relationship between the digital economy index and green financing development. Moderating effects showed that financing and return effects weakened, while the attention effect strengthened the relationship. The study concludes that digital economy advancements significantly promote green financing among SMEs. Although financing constraints and return disparities weakened this relationship, public and investor attention enhanced it. The moderating effects of financing constraints, return disparities, and investor attention must be considered in policy formulation. Abstract only Sun, 01 Dec 2024 00:00:00 GMT https://hdl.handle.net/20.500.12852/3626 2024-12-01T00:00:00Z https://hdl.handle.net/20.500.12852/3616 The influence of service experience on customer satisfaction in the pet service industry in Guangdong, China Chen, Junning This survey-correlational study explored the influence of service experience on customer satisfaction in the pet service industry in Guangdong, China, in 2024. Data were gathered from 500 conveniently selected pet owners, representing a diverse demographic spread in age, sex, personal income, dog breeds, and number of dogs. The research instrument, a researcher-designed questionnaire validated by industry experts, assessed various facets of service experience—sensory, functional, action, emotional, and social aspects—alongside customer satisfaction levels. The study used descriptive statistics to analyze demographic data and inferential statistics to explore differences and relationships in service experience and satisfaction metrics. Initial findings indicate that overall satisfaction levels were significantly influenced by varied service experiences, with specific nuances across different demographics. The results underscored that tailored service delivery enhances satisfaction levels. This research concluded that understanding the dynamics between service experience components and customer satisfaction can contribute to strategic improvements in the pet service sector. Recommendations for future research and practical applications in service policy and training are discussed to optimize satisfaction and service delivery in Guangdong’s competitive pet service market. Full text available Sun, 01 Dec 2024 00:00:00 GMT https://hdl.handle.net/20.500.12852/3616 2024-12-01T00:00:00Z https://hdl.handle.net/20.500.12852/3570 The driving factors of rural households' clean energy consumption and intentions: Inputs to a green business framework An, Jing This study determined the driving factors of rural households clean energy consumption and intentions as inputs to a green business framework. The study employed a secondary research utilizing macro-level data sourced from the China Energy Statistics Yearbook and micro data from China Rural Energy Consumption Survey, involving 19 provinces and 1892 rural households from 488 counties in 276 cities in china. The results revealed that there were significant relationships between the human, social, economic, and accessibility dimensions of households and their energy consumption. It was observed that households with higher human capital may enjoy "high-quality at low cost". Access to clean energy and its associated costs were significant determinants of clean energy consumption expenditure, with proximity to supply points positively impacting consumption. The probability of households choosing clean energy consumption increased by 0.15 for every 1% increase in educational attainment. For every 1% increase in per capita income, the probability of households choosing clean energy consumption increased by 0.4111, with odds of not choosing clean energy consumption being 1.5084 times higher, with households in the eastern region being 1.97 times more likely to choose clean energy than not. Abstract only Sun, 01 Dec 2024 00:00:00 GMT https://hdl.handle.net/20.500.12852/3570 2024-12-01T00:00:00Z