Search

In order to cope with severe environmental crises such as pollution and climate, the Chinese government has put forward the strategic goal of "double carbon" and vigorously developed green emerging industries such as cultural industry. Based on the super efficiency model and the input oriented Malmquist index model, this paper comprehensively measures the innovation efficiency of cultural industry, and selects the panel data of the Yangtze River economic belt from 2015 to 2021 for empirical analysis. In addition, the spatial econometric model is introduced to explore the driving factors affecting the innovation efficiency of cultural industry from the perspective of time and space. The results show that: (1) the overall innovation efficiency of the cultural industry in the Yangtze River economic belt is high, but there is significant spatial heterogeneity. (2) The average Malmquist index of the innovation efficiency of the cultural industry in the Yangtze River economic belt is 1.123, which reflects the continuous improvement of the level of industrial innovation. Environmental factors such as sulfur dioxide emissions in waste gas, investment in industrial pollution control, and per capita GDP have a significant impact on the innovation efficiency of cultural industry in the Yangtze River economic belt. Finally, the paper puts forward policy suggestions to promote the high-quality development of cultural industry from the perspective of technology, policy and environment. [ABSTRACT FROM AUTHOR]

Due to environmental pollution, energy consumption, climate change and other reasons, the Chinese government proposed the “double carbon” goal to encourage the wide application of green technology. The green technology represented by CiteSpace has brought new ideas to the traditional study of American literature, which is conducive to energy conservation and emission reduction and the sustainable progress of scientific research. With the help of CiteSpace tool, this paper traces the hot spots and frontiers in the field of American literature research. Through the visualization research of knowledge map of green technology, we get valuable conclusions: first, the domestic research of American literature has gradually evolved from scattered stage to mature stage. Famous scholars such as Yukuo Wang, Ruoxi Pu, Li Jin, Jincai Yang and Ying Liu have emerged. And they have made landmark achievements in feminist criticism, historical context, new slave narrative, racial discrimination, spatial turn and so on. Second, the research object is diverse and rich, and the mainstream and tributaries blend. It includes ethnic groups such as Chinese and African Americans. It focuses on writers such as Maxine Hong Kingston, Faulkner, Melville, Whitman and Hemingway, including “intertextuality”, “tea culture”, “ecocriticism” and “Orientalism”. Third, although the current research on American literature is fruitful, the discrete and multivariate distribution of specific topics is significant. The use of green technology has brought new impetus to the study of traditional literature, greatly improved the efficiency of scientific research and reduced resource consumption. [ABSTRACT FROM AUTHOR]

Due to the increasingly serious problems of environmental pollution and resource waste, promoting the green and low-carbon transformation of education has become a new trend. Online foreign language education is a new mode of green transformation development relying on digital technology. Based on the new background of green technology, this paper focuses on the evaluation of online foreign language teaching satisfaction and the key influencing factors. The entropy weight method was used to construct the evaluation index of online foreign language teaching satisfaction, the multiple linear regression model and confirmatory factor analysis model were used to systematically analyze the main factors affecting the satisfaction, and the questionnaire was used to investigate the data of online foreign language courses such as American Literature, American Culture, College English, Comprehensive English, and History of Foreign Literature. The results show that: (1) college students have a high degree of satisfaction with online foreign language teaching, and the satisfaction index based on entropy weight method is above level 2. (2) Through the multiple linear regression model, the four dimensions of teaching involvement, teaching communication, teaching skills and teaching effect all have a significant impact on the satisfaction of online foreign language teaching. (3) Based on the confirmatory factor model, online foreign language teaching satisfaction is affected by multiple latent and explicit variables, and the effect direction is generally positive. Finally, the paper puts forward specific strategies to improve the effect of green and low-carbon digital technology on foreign language education. [ABSTRACT FROM AUTHOR]

The new energy industry helps to meet the challenges of energy exhaustion and environmental pollution. Based on the panel data from 2015 to 2021, this paper uses the BCC model and Tobit model to construct the empirical measurement of technology innovation efficiency of listed new energy enterprises with three-stage DEA technology and uses the convergence model to test the efficiency difference. The results show that: (1) Using the traditional BCC model, the technical innovation level of new energy enterprises is insufficient, and the overall comprehensive efficiency and pure technical efficiency are 0.220 and 0.302 respectively, which need to be improved. (2) The three-stage DEA model was used to control environmental factors and statistical errors, and the overall efficiency of technological innovation of new energy enterprises increased. The comprehensive efficiency and scale efficiency increased to 0.541 and 0.896 respectively. (3) The technological innovation efficiency of new energy enterprises presents temporal and spatial heterogeneity. The coefficient of variation of technological innovation efficiency of new energy enterprises ranged from 0.084 to 1.000 with significant differences. The technological innovation efficiency of new energy enterprises in eastern, central and western China shows a U-shaped fluctuation. [ABSTRACT FROM AUTHOR]

Under the background of environmental pollution and energy depletion, online teaching is the key means to reduce the waste of resources and achieve the sustainable goal of education. This paper constructs a fuzzy comprehensive evaluation model to scientifically estimate the satisfaction of online teaching mode and introduces a multiple linear regression model and structural equation model respectively to empirically analyze the factors affecting satisfaction. The results show that: (1) Online teaching in colleges and universities has achieved remarkable results, and students' satisfaction is at a good level. According to the fuzzy comprehensive evaluation method, the comprehensive satisfaction scores for the dimensions of teacher questioning, flipped classroom, platform resources, student learning, and teacher engagement are in the range [80, 90]. (2) Teaching platform resources, student discussion and online skills are the key factors of online teaching satisfaction. According to the results of multiple linear regression analysis, the factors A11, B21, and C21 are significant at the 1% level in terms of significance level, with p-values of 0.008, 0.010, and 0.004, respectively. (3) The influence paths of teaching knowledge, teaching interaction and teaching platform on teaching satisfaction are different. According to the calculation results of structural equation model, teaching knowledge and teaching interaction have a positive impact on teaching satisfaction, and the regression coefficients for both are 0.123 and 0.930, respectively, while the regression coefficient of teaching platform on teaching satisfaction is -0.168, which has a negative impact. Finally, it is necessary for universities to build a three-dimensional element of a "teacher-student platform" to continuously optimize the path of online teaching satisfaction. [ABSTRACT FROM AUTHOR]

In order to cope with the increasingly severe energy crisis and climate and environmental change, energy conservation and environmental protection industry has become an emerging field for the optimization of China‘s economic structure and the development of green circular economy. However, lack of funds restricts the growth of energy conservation and environmental protection industries. Aiming at the financing difficulty of energy conservation and environmental protection industry, this paper introduces supply chain finance theory and game theory to establish accounts receivable game model. In a two-level supply chain composed of the core manufacturer and the supplier with financial constraints, the optimal decision and profit of the supplier, manufacturer, and bank under the condition of three-party compliance are studied, by using the Stackelberg game model. At the same time, the supply chain financing game under complete information condition and incomplete information condition is analyzed theoretically. Finally, through the method of example analysis, it is proved that the supplier’s initial capital, the manufacturer’s order quantity, the bank interest rate, the supplier’s financing pledge rate and so on have a significant impact on the supply chain financing income. [ABSTRACT FROM AUTHOR]

In order to cope with the increasingly severe energy crisis and climate and environmental change, energy conservation and environmental protection industry has become an emerging field for the optimization of China‘s economic structure and the development of green circular economy. However, lack of funds restricts the growth of energy conservation and environmental protection industries. Aiming at the financing difficulty of energy conservation and environmental protection industry, this paper introduces supply chain finance theory and game theory to establish accounts receivable game model. In a two-level supply chain composed of the core manufacturer and the supplier with financial constraints, the optimal decision and profit of the supplier, manufacturer, and bank under the condition of three-party compliance are studied, by using the Stackelberg game model. At the same time, the supply chain financing game under complete information condition and incomplete information condition is analyzed theoretically. Finally, through the method of example analysis, it is proved that the supplier’s initial capital, the manufacturer’s order quantity, the bank interest rate, the supplier’s financing pledge rate and so on have a significant impact on the supply chain financing in [ABSTRACT FROM AUTHOR]