5 结语
知识工作者在工作中对知识进行密集的交流、创造、转化及利用,他们的工作不再局限于传统办公地点,工作圈也就逐渐“渗透”到居住圈。对于知识工作者来说,居住区位不仅仅是一个栖居地,更是自我价值和社交模式的空间映射。因此,不同知识类型对地理距离的敏感程度最终将体现在知识工作者对职住区位的独特偏好及选择上。综合型和符号型高端产业服务业工作者最大限度地增加与其志趣相投的合作者之间的非正式交流;相比之下,分析型和综合型高科技工作者则倾向于简化与外部环境的沟通。具体来说,综合型和符号型高端产业服务业工作者偏好“置身”于“相对动态”的高密度环境中,他们倾向选择在中心地区工作和居住;相反,分析型和综合型高科技工作者倾向于“退缩”到“相对静态”的低密度环境中,他们倾向选择在近郊区工作和居住。
知识工作者作为创造知识的基本单元在经济时代发挥着举足轻重的作用,对知识工作者区位偏好和选择机制的深入理解便于更好地吸引与保留这些人才。首先,城市空间规划需酌情考虑不同类型知识工作者区位偏好的差异性。换句话说,应该提供多元化居住环境的住宅单元,同时改善工作地点周边的服务设施,来满足各类知识工作者的区位偏好。国内城市规划人员应按照各地区的产业结构及职业类型来具体分配与知识工作者吻合的居住就业等空间环境。其次,鉴于知识密集型企业越来越依赖于知识工作者,这些企业的选址也会参考相应人才的空间分布。这样一来,了解知识工作者的区位偏好和选择将对知识密集型企业的战略选址具有一定的导向性意义。最后,知识工作者由于本身受益于其所获取的知识,他们十分看重居住地点周边的教育设施情况。由于当下国内城市的住房区位与教育资源直接挂钩,为保证其子女获取教育资源,很多知识工作者不得不放弃其他更加契合的居住区位。当居住环境并不是最理想的情况下,知识工作者从中获得的对工作的灵感就会受限,长期来看可能会限制知识工作者的潜能发挥。因此,本研究也从某种程度上呼吁国内教育资源的空间均等化。
未来研究中应进一步区分和考量知识工作者的经济社会属性及知识类型在其区位偏好中的影响程度。此外,未来分析也有必要将知识工作者的社交网络类型,甚至其个性特点涵盖进来,从而充分理解他们的决策机制。最后,鉴于分析型、综合型、符号型知识类型是理想的划分方法,实际上知识工作者在工作中会同时使用到多种类型知识,探究若干知识类型对区位偏好的综合影响也是未来的一个重要研究方向。
注释
1 本文基于赵娟娟博士论文第I,II,III,IV章改写,感谢导师Alain Thierstein以及Gebhard Wulfhorst。
参考文献
[1] Almeida, P. and Kogut, B. 1999. “Localization of knowledge and the mobility of engineers in regional networks,” Management Science, 45(7): 905-917.
[2] Alonso, W. 1964. Location and Land Use: Toward a General Theory of Land Rent. Cambridge: Harvard University Press.
[3] Archibugi, D. and Lundvall, B. 2001. The Globalizing Learning Economy. Oxford: Oxford University Press.
[4] Asheim, B. T., Boschma, R., Cooke, P. 2011. “Constructing regional advantage: Platform policies based on related variety and differentiated knowledge bases,” Regional Studies, 45(7): 893-904.
[5] Asheim, B., Coenen, L., Moodysson, J. et al. 2007. “Constructing knowledge based regional advantage: Implications for regional innovation policy,” International Journal of Entrepreneurship and Innovation Management, 7(2-5): 140-155.
[6] Asheim, B. and Hansen, H. K. 2009. “Knowledge bases, talents, and contexts: On the usefulness of the creative class approach in Sweden,” Economic Geography, 85(4): 425-442.
[7] Autor, D. H., Levy, F., Murnane, R. J. 2003. “The skill content of recent technological change: An empirical exploration,” The Quarterly Journal of Economics, 118(4): 1279-1333.
[8] Beamish, J. O., Goss, R. C., Emmel, J. 2001. “Lifestyle influences on housing preferences,” Housing and Society, 28(1-2): 1-28.
[9] Becker, G. S. 1994. Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education. Chicago: University of Chicago Press.
[10] Boussauw, K., Neutens, T., Witlox, F. 2012. “Relationship between spatial proximity and travel-to-work distance: The effect of the compact city,” Regional Studies, 46(6): 687-706.
[11] Breschi, S. and Lissoni, F. 2003. Mobility and social networks: Localised knowledge spillovers revisited. CESPRI, Centro di Ricerca sui Processi di Innovazione e Internazionalizzazione, Università Commerciale “Luigi Bocconi”. http://www.nber.org/CRIW/papers/breschi.pdf.
[12] Burger, M. J., Van der Knaap, B., Wall, R. S. 2014. “Polycentricity and the multiplexity of urban networks,” European Planning Studies, 22(4), 816-840.
[13] Burd, C. A. 2012. Migration, Residential Preference, and Economic Development: A Knowledge-based Approach Regarding Locational Preferences of Two Disparate Subgroups of the Creative Class. Dissertation, University of Tennessee Retrieved from. http://trace.tennessee.edu/utk_graddiss/1513.
[14] Cohn, E. 1980. The Economics of Education. Pensacola, USA: Ballinger Publishing Company.
[15] Cook, S. D. N. and Brown, J. S. 1999. “Bridging epistemologies: The generative dance between organizational knowledge and organizational knowing,” Organization Science, 10(4): 381-400.
[16] Cooke, T. J. 2014. “Metropolitan growth and the mobility and immobility of skilled and creative couples across the life course,” Urban Geography, 35(2): 219-235.
[17] Cummins, S. K. and Jackson, R. J. 2001. “The built environment and children's health,” Pediatric Clinics of North America, 48(5): 1241-1252.
[18] Currid, E. and Connolly, J. 2008. “Patterns of knowledge: The geography of advanced services and the case of art and culture,” Annals of the Association of American Geographers, 98(2): 414-434.
[19] Darchen, S. and Tremblay, D.-G. 2010. “What attracts and retains knowledge workers/students: The quality of place or career opportunities? The cases of Montreal and Ottawa,” Cities, 27(4): 225-233.
[20] Drucker, P. F. 1954. The Practice of Management. New York: Harper & Row.
[21] Duranton, G. and Puga, D. 2005. “From sectoral to functional urban specialisation,” Journal of Urban Economics, 57(2): 343-370.
[22] Evans, A. W. 1973. The Economics of Residential Location. London, Basingstoke: The Macmillan Press LTD.
[23] Felsenstein, D. 2002. “Do high technology agglomerations encourage urban sprawl?” The Annals of Regional Science, 36(4): 663-682.
[24] Florida, R. 2002a. “The economic geography of talent,” Annals of the Association of American geographers, 92(4): 743-755.
[25] Florida, R. 2002b. The Rise of the Creative Class: And How It's Transforming Work, Leisure, Community and Everyday Life. New York: Basic Books.
[26] Florida, R. 2003. “Cities and the creative class,” City & Community, 2(1): 3-19.
[27] Florida, R. 2015. How much are you willing to pay to live in America's best neighborhoods? The Atlantic city lab, Washington. http://www.citylab.com/housing/2015/06/how-much-are-you-willing-to-pay-to-live-in-americas-best-neighborhoods/397001/.
[28] Florida, R., Mellander, C., Stolarick, K. et al. 2012. “Cities, skills and wages,” Journal of Economic Geography, 12(2): 355-377.
[29] Frenkel, A., Bendit, E., Kaplan, S. 2013. “Residential location choice of knowledge-workers: The role of amenities, workplace and lifestyle,” Cities, 35: 33-41.
[30] Glaeser, E. L. 1998. “Are cities dying?” Journal of Economic Perspectives, 12(2): 139-160.
[31] Glaeser, E. L. 1999. “Learning in cities,” Journal of Urban Economics, 46(2): 254-277.
[32] Glaeser, E. L. 2004. Review of Richard Florida's The Rise of the Creative Class. https://scholar.harvard.edu/files/glaeser/files/book_review_of_richard_floridas_the_rise_of_the_creative_class.pdf.
[33] Glaeser, E. L. 2005. “Reinventing Boston: 1630-2003,” Journal of Economic Geography, 5(2): 119-153.
[34] Hafner, S., Von Streit, A., Schröder, F. et al. 2008. The Role of Creativity in Munich's Economy. Department of Labor and Economic Development.
[35] Haisch, T. and Klöpper, C. 2015. “Location choices of the creative class: Does tolerance make a difference?” Journal of Urban Affairs, 37(3): 233-254.
[36] Helbrecht, I. 1998. “The creative metropolis services, symbols and spaces,” Zeitschrift Fur Kanada, Studien, 18: 79-93.
[37] Horner, M. W. 2004. “Spatial dimensions of urban commuting: A review of major issues and their implications for future geographic research,” The Professional Geographer, 56(2): 160-173.
[38] Jacobs, J. 1969. The Economy of Cities. New York: Random House.
[39] Johnes, G. 1993. The Economics of Education. New York: St. Martin's Press.
[40] Kim, T.-K., Horner, M. W., Marans, R. W. 2005. “Life cycle and environmental factors in selecting residential and job locations,” Housing Studies, 20(3): 457-473.
[41] Kunzmann, K. R. 2009. “The strategic dimensions of knowledge industries in urban development,” The Planning Review, 45(177): 40-47.
[42] Läpple, D. 2004. “Thesen zur renaissance der stadt in der wissensgesellschaft,” in Jahrbuch StadtRegion 2003: Schwerpunkt: Urbane Regionen, eds. N. Gestring, H. Glasauer, C. Hannemann, et al. Opladen: Leske + Buderich.
[43] Lee, P., Burfitt, A., Tice, A. 2009. “The creative economy and social sustainability: Planning for opportunity and growth,” Built Environment, 35(2): 267-280.
[44] Levinson, D. and Wu, Y. 2005. “The rational locator reexamined: Are travel times still stable?” Transportation, 32(2): 187-202.
[45] Lucas, R. E. 1988. “On the mechanics of economic development,” Journal of Monetary Economics, 22(1): 3-42.
[46] Lüthi, S. 2011. Interlocking Firm Networks and Emerging Mega-City Regions. The Relational Geography of the Knowledge Economy in Germany. Munich: Munich University of Technology.
[47] Markusen, A. 1996. “Sticky places in slippery space-A typology of industrial districts,” Economic Geography, 72(3): 293-313.
[48] Marshall, A. 1890. Principles of Economics: An Introductory Volume. London: Macmillan.
[49] Miguelez, E. and Moreno, R. 2014. “What attracts knowledge workers? The role of space and social networks,” Journal of Regional Science, 54(1): 33-60.
[50] Moodysson, J., Coenen, L., Asheim, B. 2008. “Explaining spatial patterns of innovation: Analytical and synthetic modes of knowledge creation in the Medicon Valley life-science cluster,” Environment and Planning A, 40(5): 1040-1056.
[51] Moretti, E. 2004. “Human capital externalities in cities,” in Handbook of Regional and Urban Economics: Volume 4, eds. J. V. Hender and J. F. Amsterdam: North Holland.
[52] Münter, A. and Volgmann, K. 2014. “The metropolization and regionalization of the knowledge economy in the multi-core rhine-ruhr metropolitan region,” European Planning Studies, 22(12): 2542-2560.
[53] Musterd, S. 2006. “Segregation, urban space and the resurgent city,” Urban Studies, 43(8): 1325-1340.
[54] Muth, R. F. 1969. Cities and Housing: The Spatial Pattern of Urban Residential Land Use. Chicago: University of Chicago Press.
[55] Næss, P. 2006. “Urban structure as contributory causes of travel behaviour-A theoretical perspective.,” in Urban Structure Matters: Residential Location, Car Dependence and Travel Behaviour, ed. P. Naess. London and New York: Routledge.
[56] Næss, P. 2016. “Built environment, causality and urban planning,” Planning Theory & Practice, 17(1): 52-71.
[57] Nonaka, I. and Nishiguchi, T. 2001. Knowledge Emergence: Social, Technical, and Evolutionary Dimensions of Knowledge Creation. New York: Oxford University Press.
[58] Olatubara, C. O. 1998. “An alternative approach to the urban residential location decision in Nigeria: The nestling idea,” Habitat International, 22(1): 57-67.
[59] Phe, H. H. and Wakely, P. 2000. “Status, quality and the other trade-off: Towards a new theory of urban residential location,” Urban Studies, 37(1): 7-35.
[60] Pinjari, A. R., Bhat, C. R., Hensher, D. A. 2009. “Residential self-selection effects in an activity time-use behavior model,” Transportation Research Part B: Methodological, 43(7): 729-748.
[61] Rohlfs, J. 1974. “A theory of interdependent demand for a communications service,” The Bell Journal of Economics and Management Science, 5(1): 16-37.
[62] Romanos, M. C. 1976. Residential Spatial Structure. Boulder, CO.: Lexington Books Lanham.
[63] Savage, C. M. 1996. Fifth Generation Management-Revised Edition: Co-Creating through Virtual Enterprising, Dynamic Teaming, and Knowledge Networking. Boston: Butterworth-Heinemann.
[64] Saxena, S. and Mokhtarian, P. L. 1997. “The impact of telecommuting on the activity spaces of participants,” Geographical Analysis, 29(2): 124-144.
[65] Scheiner, J. 2006. “Housing mobility and travel behaviour: A process-oriented approach to spatial mobility: Evidence from a new research field in Germany,” Journal of Transport Geography, 14(4): 287-298.
[66] Schirmer, P. M., Van Eggermond, M. A. B., Axhausen, K. W. 2014. “The role of location in residential location choice models: A review of literature,” Journal of Transport and Land Use, 7(2): 3-21.
[67] Scott, A. J. 2008. “Production and work in the American metropolis: A macroscopic approach,” The Annals of Regional Science, 42(4): 787-805.
[68] Simpson, W. 1987. “Workplace location, residential location, and urban commuting,” Urban Studies, 24(2): 119-128.
[69] Simpson, W. 1980. “A simultaneous model of workplace and residential location incorporating job search,” Journal of Urban Economics, 8(3): 330-349.
[70] Spencer, G. M. 2015. “Knowledge neighbourhoods: Urban form and evolutionary economic geography,” Regional Studies, 49(5): 883-898.
[71] Storper, M. 2009. “Roepke lecture in economic geography regional context and global trade,” Economic Geography, 85(1): 1-21.
[72] Storper, M. and Manville, M. 2006. “Behaviour, preferences and cities: Urban theory and urban resurgence,” Urban Studies, 43(8): 1247-1274.
[73] Storper, M. and Scott, A. J. 2009. “Rethinking human capital, creativity and urban growth,” Journal of Economic Geography, 9(2): 147-167.
[74] Straubhaar, T. 2000. International mobility of the highly skilled: Brain gain, brain drain or brain exchange. HWWA Discussion Paper.
[75] Thierstein, A., Förster, A., Conventz, S. et al. 2013. Wohnungsnachfrage im Grobraum München. Individuelle Präferenzen, verfügbares Angebot und räumliche Mabstabsebenen. München: Lehrstuhl für Raumentwicklung der Technischen Universität München TUM. https://mediatum.ub.tum.de/doc/1169938/1169938.pdf.
[76] Thierstein, A., Kruse, C., Glanzmann, L. et al. 2006. Raumentwicklung im Verborgenen. Untersuchungen und Handlungsfelder für die Entwicklung der Metropolregion Nordschweiz. Zürich: NZZ Buchverlag.
[77] Thrall, G. I. 1987. Land Use and Urban Form: The Consumption Theory of Land Rent. London: Methuen & Co. Ltd.
[78] Vissers, G. and Dankbaar, B. 2013. “Knowledge and proximity,” European Planning Studies, 21(5): 700-721.
[79] Waddell, P. 1993. “Exogenous workplace choice in residential locaiton models: Is the assumption valid?” Geographical Analysis, 25(1): 65-82.
[80] Watkins, A. R. 2016. “Commuting flows and labour market structure: Modelling journey to work behaviour in an urban environment,” Growth and Change, 47(4): 612-630.
[81] Yigitcanlar, T. 2010. “Making space and place for the knowledge economy: Knowledge-based development of Australian cities,” European Planning Studies, 18(11): 1769-1786.
[82] Yigitcanlar, T. and Martinez-Fernandez, M. C. 2007. “Making space and place for knowledge production: Knowledge precinct developments in Australia,” in Proceedings 2007 State of Australian Cities Conference (SOAC). Adelaide, Australia.
[83] Zillmer, S. 2010. “Teilsysteme und operationalisierung der wissensöknomie,” in Räume der Wissensökonomie: Implikationen für das deutsche Städtesystem, Series: Stadt- und Regionalwissenschaften, Urban and Regional Sciences, Vol. 6. eds. H. J. Kujath and S. Zillmer. Münster: Lit Verlag.