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中国城市创业情感的时空差异及其对企业家精神的影响

Differences in entrepreneurial affect over time and space in Chinese cities,and its impact on regional entrepreneurship
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摘要 创业情感是个体对创业的主观体验和感受,反映了社会对创业者及其创业活动的认可和接受程度。本文基于2014—2018年新浪微博“创业”话题的36.82万条文本数据,运用自然语言分析技术、文本数据分析与相关空间分析方法,在定量测度中国192个城市的创业情感基础上,分析了正、负面两类创业情感的总体特征和时空差异,采用面板固定效应模型探究了创业情感对地区企业家精神的影响。研究发现:①个体创业情感主要受创业社会网络、创业体验、创业动机、创业环境、创业方式等因素的影响,其中“朋友”的词频最高,表明非亲属的熟人关系是影响个体创业情绪的关键要素。语义网络显示具有正面情感的创业者更关注投资机会和注重发挥创业平台的作用,而具有负面情绪的个体可能对房价、租金等与创业成本相关的因素更为敏感。②在城市尺度,正面的创业情感呈现“南高北低”“沿海高内陆低”的空间格局。随着时间推移,中国城市居民创业情感总体上趋于弱化且出现了空间“极化”现象。特别地,珠三角地区的深圳、广州、珠海和长三角地区的杭州、南京、苏州、宁波等城市始终是创业者的“乐园”。③模型结果显示,正面的创业情绪能够提振企业家精神,地区正面创业情感比例越高,越有利于促进地区创业水平的提升。政府的创业干预措施可以正向调节创业情感并有助于提振当地企业家精神,而高房价给创业者带来的负面创业情绪会显著削弱企业家精神。本研究基于大数据分析,定量论证了创业情感和社会态度对企业家精神的影响,可为区域创业政策调整、地区良好创业氛围的营造以及个体创业情绪的调节提供参考。 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 po
作者 陈广平 王琛 张佳 CHEN Guangping;WANG Chen;ZHANG Jia(School of Earth Sciences,Zhejiang University,Hangzhou 310058,China;Department of Geography&Planning,The University of Toronto,Toronto M5S1A1,Canada;Faculty of Architecture,Building and Planning,The University of Melbourne,Melbourne 3010,Australia)
出处 《地理研究》 CSCD 北大核心 2024年第1期31-50,共20页 Geographical Research
基金 国家自然科学基金项目(42371173、41871106) 国家公派留学基金委项目(CSC202106320130)。
关键词 创业情感 企业家精神 新浪微博 BERT模型 非正式制度 情感分析 entrepreneurial affect entrepreneurship Sina Weibo BERT model informal institution sentiment analysis
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