地方文化资本视角下华语流行歌手出生地分布及其影响因素
陈燚菲(1998—),女,湖北荆州人,硕士研究生,研究方向为文化产业与创意人才,(E-mail)51213902034@stu.ecnu.edu.cn; |
收稿日期: 2023-08-26
修回日期: 2023-11-28
网络出版日期: 2024-10-28
基金资助
国家自然科学基金项目(42171214)
Does the Birthplace Matter for Chinese Pop Music Talents? From the Perspective of Local Cultural Capital
Received date: 2023-08-26
Revised date: 2023-11-28
Online published: 2024-10-28
人才出生地具有地方集聚性是一个普遍的地理现象,却一直没有引起学术界的广泛关注,现有研究主要考察人才(成长后)的空间流动及其影响因素,忽略了对人才成长环境的探讨。文章基于文化资本理论,以华语流行歌手为例,结合音乐创作的特点和音乐学相关理论构建了地方音乐文化资本指标体系,运用核密度分析方法对华语流行歌手的空间集聚特征进行可视化分析,通过负二项回归模型探析华语流行歌手出生地空间分布的影响因子。研究表明:1)华语流行歌手出生地呈现多核心空间结构;2)华语流行歌手出生地空间分布特征与中国区域经济发展格局具有差异,拥有多样化文化资本的地区(如四川、东北)对华语流行歌手的成长和培育有着重要贡献;3)地方文化资本存量的提高,有助于华语流行歌手的成长和培育,但不同维度的文化资本对华语流行歌手的影响存在差异。其中,教育文化资本(教育水平及教育资源)是促进华语流行歌手成长最重要的因素,其次是固体文化资本(地理环境及历史传承)和能力文化资本(民族文化及音乐产业化)。
陈燚菲 , 何金廖 . 地方文化资本视角下华语流行歌手出生地分布及其影响因素[J]. 热带地理, 2024 , 44(11) : 1949 -1961 . DOI: 10.13284/j.cnki.rddl.20230658
It is a common geographical phenomenon that the birthplaces of talented individuals tend to cluster; however, this has not been fully explored in human geography. Existing studies primarily focus on the spatial mobility of talents after their development, overlooking the influence of the environment in which they grow up. Based on cultural capital theory, this paper examines Chinese pop singers by analyzing their birthplaces and their relationship with local cultural capital. Using GIS methods, such as kernel density analysis, the study visualizes the spatial clustering characteristics of Chinese pop singers and explores the factors influencing the spatial distribution of their birthplaces through a negative binomial regression model. The findings suggest that: 1) The birthplaces of Chinese pop singers exhibit a multi-core spatial structure, with Taiwan, Beijing, and Sichuan as the epicenters. "Beijing-Hong Kong" serves as the main destination for established pop singers, followed by "Shanghai-Chengdu-Taipei". Notably, underdeveloped western regions, such as Xi'an, Urumqi, and Kunming, also show an advantage in nurturing Chinese-speaking pop singers. 2) The spatial distribution of Chinese pop singers' birthplaces differs from China's regional economic development patterns. Regions rich in cultural capital, such as Sichuan and Northeast China, are relatively prolific in producing pop singers. The number of Chinese pop singers from new first- and second-tier cities like Chengdu, Chongqing, Shenyang, and Harbin exceed that of the first-tier city of Guangzhou. The study shows that cultural capital factors have a significant positive impact on the distribution of Chinese pop singers. The rich cultural capital and favorable local music culture have fostered a long-standing music tradition, providing a supportive environment for pop singers. For example, Sichuan, with its rich folk music heritage, such as Sichuan Qingyin, Xiling Mountain Songs, and Dongjing Music, has also established China's first popular music college. 3) The increase in local cultural capital can benefit the growth and cultivation of Chinese pop singers, although the significance varies by type of cultural capital. Educational and cultural capital, on the one hand, enhances singers' musical creativity by embodying cultural capital, shaping habits, cultivating music aesthetics, and acquiring skills; on the other hand, it inspires young students' interest in music. Geographical and environmental factors serve as sources of artistic inspiration for cultural products and create a melting pot for diverse ethnic cultures. The factors of music industrialization reflect the specialization of local music industry networks, such as discovering and cultivating new musical talents and promoting music collaboration and production. This study provides a comprehensive empirical analysis of the role of local cultural capital in cultivating creative talents and offers constructive suggestions for enhancing regional cultural industry strategies.
表1 地方音乐文化资本指标体系Table 1 Local music cultural capital indicator system |
一级指标 | 二级指标 | 三级指标 | 测度 |
---|---|---|---|
地方 音乐 文化 资本 | 固体文化 资本 | 地理环境 | 地形起伏度 |
历史传承 | 每万人国家非物质文化遗产数量(歌舞戏曲类) | ||
音乐场景 | 每万人体育场馆数量 | ||
社交场所 | 每万人酒吧数量 | ||
虚拟场景 | 每万人互联网接入户数 | ||
能力文化 资本 | 民族文化 | 少数民族占比 | |
交流活动 | 每万人举办会展场次 | ||
文化消费能力 | 人均文化教育娱乐支出 | ||
人员流动 | 人均游客数量 | ||
音乐产业化 | 每万人经纪公司数量 | ||
教育文化 资本 | 居民文化水平 | 人均受教育年限 | |
教育资源 | 每万人高等学校个数 |
图4 市域尺度的华语流行歌手数量分布 Fig.4 Distribution of the number of Chinese Pop singers at the municipal scale |
图5 华语流行歌手出生地核密度分布Fig.5 Distribution of birthplace kernel density of Chinese Pop singers |
表2 华语歌手出生地集聚影响因子描述性统计结果Table 2 Descriptive statistical results of the independent variables to the birthplace agglomeration of Chinese pop singers |
一级指标 | 二级指标 | 三级指标 | 平均值 | 标准差 | 最小值 | 最大值 | 变异系数 |
---|---|---|---|---|---|---|---|
地方音乐 文化资本 | 固体文化资本 | 地理环境 | 0.944 7 | 1.199 3 | 0.001 3 | 5.790 8 | 1.269 4 |
历史传承 | 0.017 1 | 0.026 6 | 0.000 0 | 0.218 9 | 1.555 8 | ||
音乐场景 | 0.069 7 | 0.104 6 | 0.000 0 | 1.114 0 | 1.499 6 | ||
社交场所 | 0.483 1 | 0.359 3 | 0.082 0 | 2.820 5 | 0.743 9 | ||
虚拟场景 | 0.332 6 | 0.140 1 | 0.013 3 | 1.241 8 | 0.421 2 | ||
能力文化资本 | 民族文化 | 14.760 0 | 24.669 6 | 0.080 0 | 96.890 0 | 1.671 4 | |
交流活动 | 0.027 3 | 0.065 4 | 0.000 0 | 0.826 4 | 2.399 3 | ||
文化消费能力 | 2 488.598 0 | 829.211 2 | 253.000 0 | 6 378.000 0 | 0.333 2 | ||
人员流动 | 14.583 3 | 38.633 5 | 0.003 1 | 678.404 0 | 2.649 2 | ||
音乐产业化 | 0.032 6 | 0.074 1 | 0.000 0 | 0.870 6 | 2.272 4 | ||
教育文化资本 | 居民文化水平 | 9.207 5 | 0.952 3 | 4.810 0 | 12.210 0 | 0.103 4 | |
教育资源 | 0.016 7 | 0.015 3 | 0.000 0 | 0.084 8 | 0.914 8 | ||
每百万人华语流行歌手数量 | 2.644 1 | 2.730 8 | 0.170 0 | 16.253 8 | 1.032 8 |
表3 负二项回归结果Table 3 Negative binomial regression result |
一级指标 | 二级指标 | 三级指标 | 空间分布模型 | |
---|---|---|---|---|
标准化系数 | 稳健标准误 | |||
地方 音乐 文化 资本 | 固体文化 资本 | 地理环境 | 0.106 0** | 0.052 7 |
历史传承 | 8.923 9*** | 2.431 8 | ||
音乐场景 | 0.253 6 | 0.457 0 | ||
社交场所 | -0.163 9 | 0.110 8 | ||
虚拟场景 | -0.034 1 | 0.332 7 | ||
能力文化 资本 | 民族文化 | 0.008 3*** | 0.002 7 | |
音乐产业化 | 1.246 1** | 0.502 2 | ||
文化消费能力 | 0.000 1 | 0.000 1 | ||
人员流动 | -0.000 5 | 0.000 6 | ||
交流活动 | -0.320 3 | 0.491 4 | ||
教育文化 资本 | 居民文化水平 | 0.397 0*** | 0.075 2 | |
教育资源 | 10.375 5*** | 3.481 3 | ||
lnalpha | -2.200 0*** | 0.286 4 | ||
alpha | 0.110 8*** | 0.317 3 | ||
Pseudo R 2 | 0.133 0 | |||
Log pseudo-likelihood | -567.444 6 | |||
控制变量 | YES | |||
N/人 | 317 |
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陈燚菲:数据分析、研究框架确定、论文撰写与修改;
何金廖:提出研究思路、框架构建和修改。
Attanasi G, Casoria F, Centorrino S, and Urso G. 2013. Cultural Investment, Local Development and Instantaneous Social Capital: A Case Study of a Gathering Festival in the South of Italy. The Journal of Socio-Economics, 47(2): 228-247.
|
Becker G. 1964. Human Capital. New York: Columbia University Press.
|
Berke O. 2004. Exploratory Disease Mapping: Kriging the Spatial Risk Function from Regional Count Data. International Journal of Health Geographics, 3: 18.
|
Berkes F and Folke C. 1992. A Systems Perspective on the Interrelations between Natural, Human-Made and Cultural Capital. Ecological Economics, 5(1): 1-8.
|
Boren T and Young C. 2013. The Migration Dynamics of the "Creative Class": Evidence from a Study of Artists in Stockholm, Sweden. Annals of the Association of American Geographers, 103(1): 195-210.
|
Bourdieu P. 1993. The Field of Cultural Production. New York: Colombia University Press.
|
Bourdieu P. 1996. The Rules of Art: Genesis and Structure of the Literary Field. Oxford: Polity Press.
|
Bourdieu P. 1997. The Forms of Capital. Oxford: Oxford University Press.
|
Brandellero A, Janssen S, Cohen S, and Roberts L. 2014. Popular Music Heritage, Cultural Memory and Cultural Identity. International Journal of Heritage Studies, 20(3): 219-223.
|
Clark T, Lloyd R, Wong K, and Jain P. 2002. Amenities Drive Urban Growth. Journal of Urban Affairs, 24(5): 493-515.
|
段德忠,杜德斌,桂钦昌,段吕晗. 2018. 中国企业家成长路径的地理学研究. 人文地理,33(4):102-112.
Duan Dezhong, Du Debin, Gui Qinchang, and Duan Lvhan. 2018. The Geography of Chinese Entrepreneurial Development. Human Geography, 33(4): 102-112.
|
段义孚. 2018. 恋地情结. 北京: 商务印书馆. [Tuan Yifu. 2018. Topophilia. Beijing: The Commercial Press.]
|
封志明,唐焰,杨艳,张丹. 2007. 中国地形起伏度及其与人口分布的相关性. 地理学报,62(10):1073-1082.
Feng Zhiming, Tang Yan, Yang Yan, and Zhang Dan. 2007. The Relief Degree of Land Surface in China and Its Correlation with Population Distribution. Acta Geographica Sinica, 62(10): 1073-1082.
|
Florida R. 2002. The Rise of the Creative Class and How It's Transforming Work, Leisure, Community, and Everyday Life. New York: Basic Books.
|
Glaeser E, Kolko J, and Saiz A. 2001. Consumer City. Journal of Economic Geography, 1(1): 27-50.
|
Graves P. 1976. A Reexamination of Migration, Economic Opportunity, and the Quality of Life. Journal of Regional Science, 16(1): 107-112.
|
国务院第七次全国人口普查领导小组办公室. 2020. 中国人口普查年鉴. 北京:中国统计出版社.
Office of the Leading Group of the State Council for the Seventh National Population Census. 2020. China Population Census Yearbook. Beijing: China Statistics Press.
|
古恒宇,沈体雁. 2021. 中国高学历人才的空间演化特征及驱动因素. 地理学报,76(2):326-340.
Gu Hengyu and Shen Tiyan. 2021. Spatial Evolution Characteristics and Driving Forces of Chinese Highly Educated Talents. Acta Geographica Sinica, 76(2): 326-340.
|
郭丛斌,闵维方. 2006. 家庭经济和文化资本对子女教育机会获得的影响. 高等教育研究,27(11):24-31.
Guo Congbin and Min Weifang. 2006. The Effect of Familial Economical and Cultural Capital on Educational Attainment in China. Journal of Higher Education, 27(11): 24-31.
|
韩茂莉,胡兆量. 中国古代状元分布的文化背景. 地理学报,53(6):50-58.
Han Maoli and Hu Zhaoliang. 1998. Spatial Distribution of 'Zhuangyuan' in Historical China and Its Cultural Context. Acta Geographica Sinica, 53(6): 50-58.
|
何金廖,彭珏,胡浩. 2021. 设计创意人才的空间集聚及其影响机理研究——基于城市舒适性视角. 地理科学,41(9):1525-1535.
He Jinliao, Peng Jue, and Hu Hao. 2021. Spatial Agglomeration of Design Creative Talents and Its Driving Factors: Based on the Perspective of Urban Amenities. Scientia Geographica Sinica, 41(9): 1525-1535.
|
Hibbett R. 2005. What is Indie Rock? Popular Music and Society, 28(1): 55-77.
|
Hracs B, Seman M, and Virani T. 2016. The Production and Consumption of Music in the Digital Age. London: Routledge.
|
胡兆量,王恩涌,韩茂莉. 1998. 中国人才地理特征. 经济地理,18(1):8-14.
Hu Zhaoliang, Wang Enyong, and Han Maoli. 1998. The Characteristics of the Distribution of the Talented Persons in China. Economic Geography, 18(1): 8-14.
|
金相郁,武鹏. 2009. 文化资本与区域经济发展的关系研究. 统计研究,26(2):28-34.
Jin Xiangyu and Wu Peng. 2009. The Relation between Cultural Capital and Regional Economic Development in China. Statistical Research, 26(2): 28-34.
|
金兆钧. 2002. 光天化日下的流行:亲历中国流行音乐. 北京:人民音乐出版社.
Jin Zhaojun. 2002. Pop in the Light of Day: Experiencing Chinese Pop Music. Beijing: People's Music Publishing House.
|
Kingston P. 2001. The Unfulfilled Promise of Cultural Capital Theory. Sociology of Education, 74: 88-99.
|
Lareau A and Weininger E. 2003. Cultural Capital in Educational Research: A Critical Assessment. Theory and Society, 32(5/6): 567-606.
|
李沛新. 2006. 文化资本论. 北京:中央民族大学.
Li Peixin. 2006. Cultural Capitalism. Beijing: Minzu University of China.
|
李倩,吴小根,汤澍. 2006. 古镇旅游开发及其商业化现象初探. 旅游学刊,21(12):52-57.
Li Qian, Wu Xiaogen, and Tang Shu. 2006. Preliminary Study on Tourism Development and Commercialization in Ancient Towns. Tourism Tribune, 21(12): 52-57.
|
李炜,何金廖,郭卫东. 2023. 城市创意网络视角下华语数字音乐合作网络结构特征、演化趋势与影响因素. 热带地理,43(4):596-607.
Li Wei, He Jinliao, and Guo Weidong. 2023. Structural Characteristics, Evolution Trend, and Influence Mechanism of Urban Creative Networks in China: A Case Study of Chinese Digital Music. Tropical Geography, 43(4): 596-607.
|
马翀炜. 2001. 民族文化的资本化运用. 民族研究,(1):18-28.
Ma Chongwei. 2001. The Application of Capitalization of a National Culture. Ethno-National Studies, (1): 18-28.
|
孟召宜,渠爱雪,仇方道. 2012. 江苏区域文化资本差异及其对区域经济发展的影响. 地理科学,32(12):1444-1451.
Meng Zhaoyi, Qu Aixue, and Qiu Fangdao. 2012. Regional Difference in Cultural Capital and Its Influence on the Regional Economy in Jiangsu. Scientia Geographica Sinica, 32(12): 1444-1451.
|
彭珏,何金廖. 2021. 电商粉丝经济的地理格局及其影响因子探析——以抖音直播带货主播为例. 地理科学进展,40(7):1098-1112.
Peng Jue and He Jinliao. 2021. Spatial Differentiation and Influencing Factors of Fan Economy in China: Taking TikTok Livestreaming Commerce Host as an Example. Progress in Geography, 40(7): 1098-1112.
|
Pinheiro D and Dowd T. 2009. All that Jazz: The Success of Jazz Musicians in Three Metropolitan Areas. Poetics, 37(5/6): 490-506.
|
Portes A. 1998. Social Capital: Its Origins and Applications in Modern Sociology. Annual Review of Sociology, 24(1): 1-24.
|
乔建中. 1998. 论中国传统音乐的地理特征及中国音乐地理学的建设. 中央音乐学院学报,(3):3-9.
Qiao Jianzhong. 1998. On the Geographical Characteristics of Traditional Chinese Music and the Construction of Chinese Music Geography. Journal of the Central Conservatory of Music, (3): 3-9.
|
任泉香,朱竑,李鹏. 2007. 近现代中国女性人才的地理分布和区域分异. 地理学报,62(2):211-220.
Ren Quanxiang, Zhu Hong, and Li Peng. 2007. Geographical Distribution and Regional Differentiation of Female Talents in Modern and Contemporary China. Acta Geographica Sinica, 62(2): 211-220.
|
Rogers I. 2008. You've Got to Go to Gigs to Get Gigs': Indie Musicians, Eclecticism and the Brisbane Scene. Continuum (Mount Lawley, W.A.), 22(5): 639-649.
|
Scherger S and Savage M. 2010. Cultural Transmission, Educational Attainment and Social Mobility. The Sociological Review (Keele), 58(3): 406-428.
|
Scott M. 2012. Cultural Entrepreneurs, Cultural Entrepreneurship: Music Producers Mobilising and Converting Bourdieu's Alternative Capitals. Poetics, 40(3): 237-255.
|
Throsby D. 1999. Cultural Capital. Journal of Cultural Economics, 23(1/2): 3-12.
|
腾讯音乐研究院. 2024. 华语数字音乐年度白皮书2023. (2024-06-01)[2024-09-01]. https://www.sgpjbg.com/baogao/163756.html.
The Research Institute of Tencent Music. 2023. Chinese Digital Music Yearly Report 2023. (2024-06-01) [2024-09-01]. https://www.sgpjbg.com/baogao/163756.html.
|
王若宇,薛德升,刘晔,黄旭. 2019. 基于空间杜宾模型的中国高学历人才时空分异研究. 世界地理研究,28(4):134-143.
Wang Ruoyu, Xue Desheng, Liu Ye, and Huang Xu. 2019. Spatial Pattern Change of High-Educated Talents in China Based on Spatial Durbin Model. World Regional Studies, 28(4): 134-143.
|
王勇. 2009. 海上留声:上海老歌纵横谈. 上海:上海音乐出版社.
Wang Yong. 2009. Sound Ever-Longering at Sea: Shanghai Old Songs: An Overview. Shanghai: Shanghai Music Publishing House.
|
吴殿廷,陈向玲,刘超,张若,顾淑丹,蔡春霞. 2006. 我国高级科技人才空间集聚的初步研究——以两院院士为例. 中国科技论坛,(6):108-112.
Wu Dianting, Chen Xiangling, Liu Chao, Zhang Ruo, Gu Shudan, and Cai Chunxia. 2006. A Preliminary Study on the Spatial Clustering of Senior Scientific and Technological Talents in China: Taking Academicians of the Two Academies as an Example. China Technology Forum, (6): 108-112.
|
吴殿廷,赵江,刘鸽,肖敏. 2007. 中国杰出体育竞技人才成长因素的地理分析——以奥运冠军为例. 地理科学,27(6):779-784.
Wu Dianting, Zhao Jiang, Liu Ge, and Xiao Min. 2007. Geographical Analysis on Development Factors of Splendid Athletes in China—Taking Olympic Champions as Examples. Scientia Geographica Sinica, 27(6): 779-784.
|
吴启焰,王兆杰. 2011. 布尔迪厄的文化资本理论在旅游规划中的应用. 人文地理,26(1):113-117.
Wu Qiyan and Wang Zhaojie. 2011. The Application of Bourdieu's Theory of Cultural Capital in Tourism Planning. Human Geography, 26(1): 113-117.
|
吴永生,冯健,张小林. 2005. 中国民歌文化的地域特征及其地理基础. 人文地理,20(2):88-92.
Wu Yongsheng, Feng Jian, and Zhang Xiaolin. 2005. The Regional Characteristics and Geographical Basis of the Culture of Chinese Folk Song. Human Geography, 20(2): 88-92.
|
中国会展经济研究会. 2022. 2021年度中国展览数据统计报告. (2022-05-25)[2024-09-03]. http://www.cces2006.org/Uploads/Editor/2022-05-25/628de7f4585d7.pdf.
China Convention and Exhibition Economy Research Association. 2022. China Exhibition Data Statistical Report 2021. (2022-05-25) [2024-09-03]. http://www.cces2006.org/Uploads/Editor/2022-05-25/628de 7f4585d7.pdf.
|
周建新,刘宇. 2019. 我国省域文化资本估算及其空间差异——基于2007—2017年省域面板数据的研究. 山东大学学报(哲学社会科学版),(5):72-83.
Zhou Jianxin and Liu Yu. 2019. An Estimation of Provincial Cultural Capital in China and Its Spatial Differences: Based on the Provincial Panel Data from 2007 to 2017. Journal of Shandong University(Philosophy and Social Sciences) , (5): 72-83.
|
祝晔,殷红卫,赵志霞. 2022. 中国省域文化资本对旅游经济的空间溢出效应研究. 南京师大学报(自然科学版),45(3):61-67.
Zhu Ye, Yin Hongwei, and Zhao Zhixia. 2022. Research on the Spatial Spillover Effect of Provincial Cultural Capital on Tourism Economy in China. Journal of Nanjing Normal University(Natural Science Edition) , 45(3): 61-67.
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