ABSTRACT
This paper contributes to the study of regional economic resilience by analyzing the dynamic characteristics and influence mechanisms of resilience from the perspective of spatial heterogeneity. This paper focuses on the resistance and recoverability dimensions of resilience and analyzed the dynamic changes in economic resilience in China's Yellow River Basin in response to the 2008 economic crisis. The multi-scale geographical weighted regression model was utilized to examine the effect of key factors on regional economic resilience. Our findings show the following: (1) The resistance of the Yellow River Basin to the financial crisis was high; however, the recoverability decreased significantly over time. (2) The spatial heterogeneity of driving factors was significant, and they had different effect scales on economic resilience. Related variety, government agency, environment, and opening to the global economy had a significant effect on economic resilience only in a specific small range. Specialization, unrelated variety, and location had opposite effects in different regions of the Yellow River Basin. (3) Specialization limited the area's resistance to shock but enhanced the recoverability. Related variety improved regional economic resilience. Unrelated variety was not conducive to regional resistance to shock and had opposite effects on the recoverability in different regions. (4) Government agency and financial market promoted regional economic resilience. Environment pollution and resource-based economic structure limited regional economic resilience. Opening to the global economy and urban hierarchy limited regional resistance to shock, but strong economic development had the opposite effect of improved regional resistance. The location in the east of the Yellow River Basin enhanced the recoverability; however, the location in the west limited the recoverability.
Subject(s)
Economic Recession , Rivers , China , Economic Development , Rivers/chemistryABSTRACT
Even though "Mainstream Media and E-Commerce Live Streaming"emerges as a new form of E-Commerce Live Streaming under the influence of the COVID-19 pandemic, its underlying mechanism in consumers' online shopping remains unexplored. Consequently, this paper explores this topic with a qualitative research through in-depth interviews with college students and graduate students. Based on the grounded theory and NVIVO 12.0 software, researchers explore the influences of mainstream media live streaming of consumers' purchase decision, and propose a framework of consumer purchased decision-making factors of 3 themes and 11 sub-themes. Overall, the findings contribute to the literature of E-Commerce Live Streaming and provide practical implications for mainstream media to better participate in E-Commerce live streaming platforms. © 2022 ACM.
ABSTRACT
China is the world's largest consumer and importer of pork. In the context of COVID-19, countries have implemented strict import inspection and quarantine standards, and pork imports are facing more complicated customs clearance procedures, resulting in a sharp increase in customs risks. Pork, as a basic livelihood product, has always been a sensitive topic on the Internet. Their public opinions often have an important impact on customs policies and are one of the important sources of customs risks. Based on Internet text big data mining and LDA-GRA analysis method, this paper classifies online public opinion on pork import during the COVID-19 pandemic into different topics, and conducts correlation analysis on public opinion text and customs policy, investigates the correlation between online public opinion, customs policy and customs risk, as well as its correlation strength. The results show that the online public opinion of pork import has a significant impact on the implementation of the customs policy, and causes a variety of potential customs risks of pork import. Pork import-related enterprises should strengthen public opinion monitoring to reduce losses caused by customs risks. © 2021 ACM.