Entrepreneurial affect(EA)is an individual's subjective experience and sense of entrepreneurship,which reflects social acceptance of entrepreneurs and their entrepreneurial activities.Based on over 368.2 thousand textual data of"entrepreneurship"on Sina Weibo from 2014 to 2018,this paper employs natural language processing(NLP)techniques,textual data analysis,and spatial analysis to quantitatively measure EA in 192 Chinese cities and analyze the overall characteristics and spatio-temporal distribution differences of positive and negative EA.The panel fixed effect model is used to investigate the effect of EA on regional entrepreneurship at the prefecture level.The results show that:(1)Individual's EA is affected by entrepreneurial social network,entrepreneurial experience,entrepreneurial motivation,entrepreneurial environment,entrepreneurial mode,and so on,among which the word"friend"has the highest word frequency,indicating that non-kinship acquaintance is the most important factor.According to the semantic network analysis,individuals with positive EA are more concerned about investment prospects and the significance of entrepreneurial platforms,whereas those with negative EA may be more concerned about issues related to entrepreneurial costs,such as housing prices and rents.(2)At prefecture level,positive EA presents a spatial pattern of"high in the south,low in the north"and"high in coastal areas,low in inland areas".Chinese urban residents'overall EA tends to wane over time,giving rise to the phenomenon of geographical polarization.Interestingly,cities such as Shenzhen,Guangzhou,and Zhuhai in the Pearl River Delta region,as well as Hangzhou,Nanjing,Suzhou,and Ningbo in the Yangtze River Delta region,have long been"paradise"for entrepreneurs.(3)The model results suggest that positive EA can significantly stimulate regional entrepreneurship,and the larger the share of positive EA in a region,the more favorable to regional entrepreneurship improvement.The government's entrepreneurial intervention can positively regulate EA and stimulate local entrepreneurship,while the negative EA brought by excessive housing prices will considerably discourage entrepreneurship.Based on the textual data analysis,this study quantitatively demonstrates the impact of EA on regional entrepreneurship,which can provide references for the adjustment of regional entrepreneurial policies,the creation of a favorable entrepreneurial atmosphere in the region,and the adjustment of individual entrepreneurial emotions.
维普
万方数据
