Abstract. The six western provinces are characterized by fragile ecological environment, underdeveloped economy, and prominent contradiction between population-economy and resourceenvironment. This paper sets up the evaluation index system and uses the coupling coordination degree model to study the evolution of resource-environment and population-economy in the six western provinces from 2006 to 2015. The results show that resource-environment in the six western provinces have a comprehensive slow growth, but the development of resourceenvironment in Inner Mongolia, Shaanxi, Ningxia and Xinjiang has been declining. The development level of population-economy has increased rapidly. The coupling relationship tends to change from slightly recession to good coordination. Therefore, it is proposed to develop ecological economy and circular economy, improve population quality and labor productivity, develop diversified forms and mode of employment, and adhere to a path of coordinated and sustainable development of resource-environment and population-economy under the strategy of "Silk Road Economic Belt".
Abstract. The main purpose of this paper is to explore how the training method in English teaching is affected by the language cultural differences between Chinese and English. We focus on the analysis the pros and cons of education system in China and America. For instance, the basic expression of language, the sentence structure, and differences of pragmatics would have a great influence for impacting future language education. Moreover, according to the analysis on actual data, we find that similar to the education model of the combination of Chinese and English should be widely applied into future English teaching. Overall, we hope our analysis and proposal could as a reference for enhancing the quality of future English teaching.
From 2020 to 2022, the price of gasoline in China rose sharply, which may cause consumers to adopt new energy vehicles. However, the government subsidies in the yearly retreat for 2023 were completely abolished, which could hinder consumers’ switching behavior. The combination of these factors may affect consumer decision-making, making accurate analysis of consumer willingness to switch to new energy vehicles crucial for the development of this industry. The current study aims to investigate consumers’ vehicle switching intentions affected by multiple factors such as fuel prices, and we attempt to analyze these by combining personal and environmental factors from social cognitive theory. Data were collected through an online platform survey using developed reliable scales. The 464 responses were then synthesized using structural equation modeling and Bayesian networks, and the results showed that approximately 51% of consumers had high-level switching intentions to new energy vehicles; attitude, self-efficacy, environmental consciousness, and infrastructure barriers had the strongest effect on consumers’ vehicle switching intentions. This study assists in identifying the psychological demands of consumers switching to new energy vehicles and provides ideas for vehicle manufacturers and governments in terms of marketing strategies and policy formulation at crucial stages when new energy vehicles are in accelerated development.
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