1,388
Views
1
CrossRef citations to date
0
Altmetric
Articles

Intercity networks and urban performance: a geographical text mining approach

, , &
Pages 262-283 | Received 07 Dec 2022, Accepted 09 Jul 2023, Published online: 04 Sep 2023

References

  • Alonso, W. (1973). Urban zero population growth. Daedalus, 102, 191–206.
  • Au, C.-C., & Henderson, J. V. (2006). How migration restrictions limit agglomeration and productivity in China. Journal of Development Economics, 80, 350–388.
  • Ballatore, A., Bertolotto, M., & Wilson, D. C. (2014). An evaluative baseline for geo-semantic relatedness and similarity. GeoInformatica, 18, 747–767.
  • Barro, R. J. (1996). Determinants of economic growth: A cross-country empirical study. Cambridge, MA: MIT Press Books.
  • Basile, R., Capello, R., & Caragliu, A. (2012). Technological interdependence and regional growth in Europe: Proximity and synergy in knowledge spillovers. Papers in Regional Science, 91(4), 697–722.
  • Bathelt, H., Malmberg, A., & Maskell, P. (2004). Clusters and knowledge: Local buzz, global pipelines and the process of knowledge creation. Progress in Human Geography, 28, 31–56.
  • Baum-Snow, N., Henderson, J. V., Turner, M. A., Zhang, Q., & Brandt, L. (2020). Does investment in national highways help or hurt hinterland city growth? Journal of Urban Economics, 115, 103124.
  • Belderbos, R., Benoit, F., & Derudder, B. (2022). World city innovation and service networks and economic growth. Papers in Regional Science, 101(4), 979–999.
  • Benhabib, J., & Spiegel, M. M. (1994). The role of human capital in economic development evidence from aggregate cross-country data. Journal of Monetary Economics, 34, 143–173.
  • Bird, J., Lebrand, M., & Venables, A. J. (2020). The belt and road initiative: Reshaping economic geography in Central Asia? Journal of Development Economics, 144, 102441.
  • Boschma, R. A. (2005). Proximity and innovation: A critical assessment. Regional Studies, 39, 61–74.
  • Burger, M., & Meijers, E. (2016). Agglomerations and the rise of urban network externalities. Papers in Regional Science, 95, 5–15.
  • Burger, M., Meijers, E., Hoogerbrugge, M., & Masip Tresserra, J. (2015). Borrowed size, agglomeration shadows and cultural amenities in North-West Europe. European Planning Studies, 23, 1090–1109.
  • Camagni, R., Capello, R., & Caragliu, A. (2015). The rise of second-rank cities: What role for agglomeration economies? European Planning Studies, 23, 1069–1089.
  • Camagni, R., Capello, R., & Caragliu, A. (2016). Static vs. dynamic agglomeration economies. Spatial context and structural evolution behind urban growth. Papers in Regional Science, 95, 133–158.
  • Capello, R. (2000). The city network paradigm: Measuring urban network externalities. Urban Studies, 37, 1925–1945.
  • Capello, R. (2020). Proximity and regional competitiveness. Scienze Regionali, 19(3), 373–394.
  • Capello, R., & Camagni, R. (2000). Beyond optimal city size: An evaluation of alternative urban growth patterns. Urban Studies, 37, 1479–1496.
  • Capello, R., Caragliu, A., & Fratesi, U. (2018). Breaking down the border: Physical, institutional and cultural obstacles. Economic Geography, 94(5), 485–513.
  • Chatman, D., & Noland, R. (2014). Transit service, physical agglomeration and productivity in US metropolitan areas. Urban Studies, 51, 917–937.
  • Chen, M., Gong, Y., Li, Y., Lu, D., & Zhang, H. (2016). Population distribution and urbanization on both sides of the Hu Huanyong line: Answering the premier’s question. Journal of Geographical Sciences, 26(11), 1593–1610.
  • Cicerone, G., McCann, P., & Venhorst, V. (2020). Promoting regional growth and innovation: Relatedness, revealed comparative advantage and the product space. Journal of Economic Geography, 20, 293–316.
  • Dai, L., Derudder, B., Cao, Z., & Ji, Y. (2023). Examining the evolving structures of intercity knowledge networks: The case of scientific collaboration in China. International Journal of Urban Sciences, 27(3), 371–389.
  • Devriendt, L., Derudder, B., & Witlox, F. (2008). Cyberplace and cyberspace: Two approaches to analyzing digital intercity linkages. Journal of Urban Technology, 15(2), 5–32.
  • Drucker, J. (2012). The spatial extent of agglomeration economies: Evidence from three US manufacturing industries. US Census Bureau Center for Economic Studies Paper No. CES-WP-12-01.
  • Duranton, G., & Puga, D. (2004). Micro-foundations of urban agglomeration economies. In J. V. Henderson, & J.-F. Thisse (Eds.), Handbook of regional and urban economics 4 (pp. 2063–2117). Amsterdam.: Elsevier.
  • Faber, B. (2014). Trade integration, market size, and industrialization: Evidence from China's National Trunk Highway System. Review of Economic Studies, 81(3), 1046–1070.
  • Fang, C., & Yu, D. (2017). Urban agglomeration: An evolving concept of an emerging phenomenon. Landscape and Urban Planning, 162, 126–136.
  • Fang, C., Yu, X., Zhang, X., Fang, J., & Liu, H. (2020). Big data analysis on the spatial networks of urban agglomeration. Cities, 102, 102735.
  • Florida, R., Gulden, T., & Mellander, C. (2008). The rise of the mega-region. Cambridge journal of regions, economy and society, 1(3), 459–476.
  • Galaso, P., & Kovářík, J. (2021). Collaboration networks, geography and innovation: Local and national embeddedness. Papers in Regional Science, 100(2), 349–377.
  • Glaeser, E. (2011). Triumph of the city. New York, NY: The Penguin Group.
  • Glaeser, E., Kolko, J., & Saiz, A. (2001). Consumer city. Journal of Economic Geography, 1, 27–50.
  • Glaeser, E., Ponzetto, G., & Zou, Y. (2016). Urban networks: Connecting markets, people, and ideas. Papers in Regional Science, 95(1), 17–59.
  • Gordon, I., & McCann, P. (2000). Industrial clusters: Complexes, agglomeration and/or social networks? Urban Studies, 37, 513–532.
  • Gregory, I., Cooper, D., Hardie, A., & Rayson, P.. (2015). Spatializing and analyzing digital texts: Corpora, GIS, and places. In D.J. Bodenhamer, J. Corrigan, & T.M. Harris (Eds.), Deep maps and spatial narratives (pp. 150–178). Bloomington, IN: Indiana University Press.
  • Guo, H., Zhang, W., Du, H., Kang, C., & Liu, Y. (2022). Understanding China’s urban system evolution from web search index data. EPJ Data Science, 11(1), 20.
  • Harrison, J., & Gu, H. (2019). Planning megaregional futures: Spatial imaginaries and megaregion formation in China. Regional Studies, 55, 77–89.
  • Hill, L. (2009). Georeferencing: The geographic associations of information. Cambridge, MA: MIT Press.
  • Howard, E. (1898). Garden cities of To-morrow. London: Swan Sonnenschein and Co. Ltd.
  • Hu, X., Wang, C., Wu, J., & Stanley, H. E. (2020). Understanding interurban networks from a multiplexity perspective. Cities, 99, 102625.
  • Huang, Y., Hong, T., & Ma, T. (2020). Urban network externalities, agglomeration economies and urban economic growth. Cities, 107, 102882.
  • Jiao, J., Wang, J., Zhang, F., Jin, F., & Liu, W. (2020). Roles of accessibility, connectivity and spatial interdependence in realizing the economic impact of high-speed rail: Evidence from China. Transport Policy, 91, 1–15.
  • Johansson, B., & Quigley, J. (2004). Agglomeration and networks in spatial economics. Papers in Regional Science, 83, 165–176.
  • Krugman, P. (1980). Scale economies, product differentiation, and the pattern of trade. The American Economic Review, 70, 950–959.
  • Krugman, P. (1995). Increasing returns, imperfect competition and the positive theory of international trade. Handbook of International Economics, 3, 1243–1277.
  • Lang, R. E., Lim, J., & Danielsen, K. A. (2020). The origin, evolution, and application of the megapolitan area concept. International Journal of Urban Sciences, 24(1), 1–12.
  • Lao, X., Zhang, X., Shen, T., & Skitmore, M. (2016). Comparing China's city transportation and economic networks. Cities, 53, 43–50.
  • Li, J., & Jiang, Y. (2016). Calculation and empirical analysis on the contributions of R&D spending and patents to China’s economic growth. Theoretical Economics Letters, 6, 1256.
  • Li, W., Sun, B., & Zhang, T. (2019). Spatial structure and labour productivity: Evidence from prefectures in China. Urban Studies, 56, 1516–1532.
  • Li, Y., & Phelps, N. (2019). Megalopolitan glocalization: The evolving relational economic geography of intercity knowledge linkages within and beyond China’s Yangtze River Delta region, 2004-2014. Urban Geography, 40, 1310–1334.
  • Liu, Y., Wang, F., Kang, C., Gao, Y., & Lu, Y. (2014). Analyzing relatedness by toponym co-occurrences on web pages. Transactions in GIS, 18, 89–107.
  • Ma, H., & Xu, X. (2023). The effects of proximities on the evolving structure of intercity innovation networks in the Guangdong–Hong Kong–Macao Greater Bay Area: Comparison between scientific and technology knowledge. International Journal of Urban Sciences, 27(3), 390–413.
  • Marshall, A. (1920). Principles of economics (8th Ed.). London.: Macmillan.
  • McCann, P., & Acs, Z. (2011). Globalization: Countries, cities and multinationals. Regional Studies, 45, 17–32.
  • Meijers, E., & Burger, M. (2010). Spatial structure and productivity in US metropolitan areas. Environment and Planning A, 42, 1383–1402.
  • Meijers, E., & Burger, M. (2017). Stretching the concept of ‘borrowed size’. Urban Studies, 54, 269–291.
  • Meijers, E., Burger, M., & Hoogerbrugge, M. (2016). Borrowing size in networks of cities: City size, network connectivity and metropolitan functions in Europe. Papers in Regional Science, 95, 181–198.
  • Meijers, E., Hoekstra, J., Leijten, M., Louw, E., & Spaans, M. (2012). Connecting the periphery: Distributive effects of new infrastructure. Journal of Transport Geography, 22, 187–198.
  • Meijers, E., & Peris, A. (2019). Using toponym co-occurrences to measure relationships between places: Review, application and evaluation. International Journal of Urban Sciences, 23, 246–268.
  • Melo, P., Graham, D., & Noland, R. (2009). A meta-analysis of estimates of urban agglomeration economies. Regional Science and Urban Economics, 39, 332–342.
  • Newman, M. (2010). Networks: An introduction. Oxford: Oxford University Press.
  • Niu, F., & Li, J. (2018). Visualizing the intercity railway network in Mainland China. Environment and Planning A: Economy and Space, 50(5), 945–947.
  • Otsuka, A. (2020). Inter-regional networks and productive efficiency in Japan. Papers in Regional Science, 99, 115–133.
  • Overell, S., & Rüger, S. (2008). Using co-occurrence models for placename disambiguation. International Journal of Geographical Information Science, 22, 265–287.
  • Parr, J. (2002). Agglomeration economies: Ambiguities and confusions. Environment and Planning A, 34, 717–731.
  • Parr, J. (2004). The polycentric urban region: A closer inspection. Regional Studies, 38, 231–240.
  • Petralia, S., Balland, P.-A., & Rigby, D. (2016). Unveiling the geography of historical patents in the United States from 1836 to 1975. Scientific Data, 3(160074), 1–14.
  • Phelps, N. (2021). City systems research: From morphology to relationality and positionality. International Journal of Urban Sciences, 25(4), 480–500.
  • Phelps, N., Fallon, R., & Williams, C. (2001). Small firms, borrowed size and the urban-rural shift. Regional Studies, 35, 613–624.
  • Phelps, N., Miao, J., & Zhang, X. (2023). Polycentric urbanization as enclave urbanization: A research agenda with illustrations from the Yangtze River Delta Region (YRDR), China. Territory, Politics, Governance, 11(2), 261–280.
  • Porter, C., Atkinson, P., & Gregory, I. (2015). Geographical text analysis: A new approach to understanding nineteenth-century mortality. Health & Place, 36, 25–34.
  • Pumain, D. (2021). From networks of cities to systems of cities. In Z. Neal, & C. Rozenblat (Eds.), Handbook of cities and networks (pp. 16–40). Cheltenham: Edward Elgar Publishing.
  • Rosenthal, S. S., & Strange, W. C. (2004). Evidence on the nature and sources of agglomeration economies. In V. Henderson & J.F. Thisse (Eds.), Handbook of regional and urban economics (Vol. 4, pp. 2119–2171). Amsterdam: Elsevier.
  • Ross, C., Woo, M., & Wang, F. (2016). Megaregions and regional sustainability. International Journal of Urban Sciences, 20(3), 299–317.
  • Salvini, M., & Fabrikant, S. (2016). Spatialization of user-generated content to uncover the multirelational world city network. Environment and Planning B: Planning and Design, 43(1), 228–248.
  • Sassen, S. (2007). Megaregions: Benefits beyond sharing trains and parking lots. In K.S. Goldfeld (Ed.), The economic geography of megaregions (pp. 59–83). Princeton, NJ: Policy Research Institute for the Region.
  • Schilling, M., & Phelps, C. (2007). Interfirm collaboration networks: The impact of large-scale network structure on firm innovation. Management Science, 53(7), 1113–1126.
  • Schweitzer, F., Fagiolo, G., Sornette, D., Vega-Redondo, F., Vespignani, A., & White, D. (2009). Economic networks: The new challenges. Science, 325(5939), 422–425.
  • Sebestyén, T., & Varga, A. (2013). Research productivity and the quality of interregional knowledge networks. The Annals of Regional Science, 51(1), 155–189.
  • Shi, S., & Pain, K. (2020). Investigating China’s Mid-Yangtze River economic growth region using a spatial network growth model. Urban Studies, 57, 2973–2993.
  • Short, J., Kim, Y., Kuus, M., & Wells, H. (1996). The dirty little secret of world cities research: Data problems in comparative analysis. International Journal of Urban and Regional Research, 20, 697–717.
  • Sohn, C., Licheron, J., & Meijers, E. (2022). Border cities: Out of the shadow. Papers in Regional Science, 101(2), 417–438.
  • Tobler, W., & Wineburg, S. (1971). A Cappadocian speculation. Nature, 231, 39–41.
  • Tongjing, W., Yin, Z., Bao, Z., & Meijers, E. (2022). Dataset ofintercity relationships between 293 Chinese cities extractedand classified on the basis of toponym co-occurrences onCommon Crawl. https://www.researchgate.net/publication/362952059_Dataset_of_intercity_relationships_between_293_Chinese_cities_extracted_and_classified_on_the_basis_of_toponym_co-occurrences_on_Common_Crawl.
  • Van Meeteren, M., Neal, Z., & Derudder, B. (2016). Disentangling agglomeration and network externalities: A conceptual typology. Papers in Regional Science, 95(1), 61–80.
  • Waldfogel, J. (2008). The median voter and the median consumer: Local private goods and population composition. Journal of Urban Economics, 63, 567–582.
  • Watts, D. (2004). The “new” science of networks. Annual Review of Sociology, 30, 243–270.
  • Wei, Y., Huang, C., Lam, P. T., & Yuan, Z. (2015). Sustainable urban development: A review on urban carrying capacity assessment. Habitat International, 46, 64–71.
  • Yao, L., Li, J., & Li, J. (2020). Urban innovation and intercity patent collaboration: A network analysis of China’s national innovation system. Technological Forecasting and Social Change, 160, 120185.
  • Yuan, Y., & Medel, M. (2016). Characterizing international travel behavior from geotagged photos: A case study of Flickr. PloS one, 11, e0154885.
  • Zhen, F., Wang, B., & Chen, Y. (2012). China's city network characteristics based on social network space: An empirical analysis of sina micro-blog. Acta Geographica Sinica, 67(8), 1031–1043.
  • Zhong, X., Liu, J., Gao, Y., & Wu, L. (2017). Analysis of co-occurrence toponyms in web pages based on complex networks. Physica A: Statistical Mechanics and its Applications, 466, 462–475.