[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i20p5811-d278346.html
   My bibliography  Save this article

The Evolution of Industrial Agglomerations and Specialization in the Yangtze River Delta from 1990–2018: An Analysis Based on Firm-Level Big Data

Author

Listed:
  • Shuju Hu

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China)

  • Wei Song

    (Department of Geography and Geosciences, University of Louisville, Louisville, KY 40292, USA)

  • Chenggu Li

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China)

  • Charlie H. Zhang

    (Department of Geography and Geosciences, University of Louisville, Louisville, KY 40292, USA)

Abstract
Although industrial agglomeration and specialization have been studied for more than 100 years, it is still a controversial field. In the era of big data, it is of great significance to study industrial agglomeration and regional specialization by using firm-level data. Based on 3,053,024 pieces of firm-level big data, the spatial evolution and spatial patterns of industrial agglomeration and specialization of 9 major industries in the Yangtze River Delta, China were revealed. Results show that: (1) the degree of industrial agglomeration is highly related to industrial attributes; industries which are directly related to production tend to be geographically concentrated, while industries that serve for production tend to be spatially dispersed; (2) the evolution characteristics and trajectories of industrial agglomeration vary by industries: wholesale and retail trade and real estate are becoming more spatially dispersed; information industries, leasing and commercial services, scientific research and polytechnic services, as well as finance are experiencing continuous spatial agglomeration; construction and manufacturing show a tendency of transfer from spatial agglomeration to spatial dispersion; (3) since 1990, most industries in the Yangtze River Delta have formed distinct spatial patterns of industrial specialization. Most core cities have experienced obvious deindustrialization processes; and high-end industries are clustering to the three biggest core cities of Shanghai, Nanjing, and Hangzhou.

Suggested Citation

  • Shuju Hu & Wei Song & Chenggu Li & Charlie H. Zhang, 2019. "The Evolution of Industrial Agglomerations and Specialization in the Yangtze River Delta from 1990–2018: An Analysis Based on Firm-Level Big Data," Sustainability, MDPI, vol. 11(20), pages 1-21, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:20:p:5811-:d:278346
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/20/5811/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/20/5811/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brulhart, Marius & Traeger, Rolf, 2005. "An account of geographic concentration patterns in Europe," Regional Science and Urban Economics, Elsevier, vol. 35(6), pages 597-624, November.
    2. Arkadiusz Michal Kowalski & Andrzej Marcinkowski, 2014. "Clusters versus Cluster Initiatives, with Focus on the ICT Sector in Poland," European Planning Studies, Taylor & Francis Journals, vol. 22(1), pages 20-45, January.
    3. Esteban Rossi-Hansberg, 2005. "A Spatial Theory of Trade," American Economic Review, American Economic Association, vol. 95(5), pages 1464-1491, December.
    4. Michael Carroll & Neil Reid & Bruce Smith, 2008. "Location quotients versus spatial autocorrelation in identifying potential cluster regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(2), pages 449-463, June.
    5. Janet Koech & Mark A. Wynne, 2017. "Diversification and Specialization of U.S. States," The Review of Regional Studies, Southern Regional Science Association, vol. 47(1), pages 63-91, Winter.
    6. Iammarino, Simona & McCann, Philip, 2006. "The structure and evolution of industrial clusters: Transactions, technology and knowledge spillovers," Research Policy, Elsevier, vol. 35(7), pages 1018-1036, September.
    7. Nakajima, Kentaro & Saito, Yukiko Umeno & Uesugi, Iichiro, 2012. "Measuring economic localization: Evidence from Japanese firm-level data," Journal of the Japanese and International Economies, Elsevier, vol. 26(2), pages 201-220.
    8. Lafourcade, Miren & Mion, Giordano, 2007. "Concentration, agglomeration and the size of plants," Regional Science and Urban Economics, Elsevier, vol. 37(1), pages 46-68, January.
    9. Guy Dumais & Glenn Ellison & Edward L. Glaeser, 2002. "Geographic Concentration As A Dynamic Process," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 193-204, May.
    10. Wolfgang Dauth & Michaela Fuchs & Anne Otto, 2018. "Long‐run processes of geographical concentration and dispersion: Evidence from Germany," Papers in Regional Science, Wiley Blackwell, vol. 97(3), pages 569-593, August.
    11. Krugman, Paul, 1998. "What's New about the New Economic Geography?," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 14(2), pages 7-17, Summer.
    12. Ellison, Glenn & Glaeser, Edward L, 1997. "Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach," Journal of Political Economy, University of Chicago Press, vol. 105(5), pages 889-927, October.
    13. Giuseppe Arbia, 2001. "The role of spatial effects in the empirical analysis of regional concentration," Journal of Geographical Systems, Springer, vol. 3(3), pages 271-281, November.
    14. Marcon, Eric & Puech, Florence, 2017. "A typology of distance-based measures of spatial concentration," Regional Science and Urban Economics, Elsevier, vol. 62(C), pages 56-67.
    15. Dan Zheng & Tatsuaki Kuroda, 2013. "The impact of economic policy on industrial specialization and regional concentration of China’s high-tech industries," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(3), pages 771-790, June.
    16. C. Cindy Fan & Allen J. Scott, 2003. "Industrial Agglomeration and Development: A Survey of Spatial Economic Issues in East Asia and a Statistical Analysis of Chinese Regions," Economic Geography, Taylor & Francis Journals, vol. 79(3), pages 295-319, July.
    17. Giuseppe Arbia & Giuseppe Espa & Danny Quah, 2009. "A class of spatial econometric methods in the empirical analysis of clusters of firms in the space," Studies in Empirical Economics, in: Giuseppe Arbia & Badi H. Baltagi (ed.), Spatial Econometrics, pages 81-103, Springer.
    18. Holz, Carsten A, 2013. "Chinese statistics: classification systems and data sources," MPRA Paper 43869, University Library of Munich, Germany.
    19. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 577-598.
    20. Igor Pilipenko, 2005. "Clusters and Territorial-Industrial Complexes - Similar Approaches or Different Concepts? - first Evidence from Analysis of Development of Russian Regions," ERSA conference papers ersa05p70, European Regional Science Association.
    21. Sukkoo Kim, 1995. "Expansion of Markets and the Geographic Distribution of Economic Activities: The Trends in U. S. Regional Manufacturing Structure, 1860–1987," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(4), pages 881-908.
    22. Long, Cheryl & Zhang, Xiaobo, 2011. "Cluster-based industrialization in China: Financing and performance," Journal of International Economics, Elsevier, vol. 84(1), pages 112-123, May.
    23. Karl Aiginger & Esteban Rossi-Hansberg, 2006. "Specialization and concentration: a note on theory and evidence," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 33(4), pages 255-266, September.
    24. Jiawei Wu & Yehua Dennis Wei & Qizhai Li & Feng Yuan, 2018. "Economic Transition and Changing Location of Manufacturing Industry in China: A Study of the Yangtze River Delta," Sustainability, MDPI, vol. 10(8), pages 1-28, July.
    25. Rolf Sternberg & Timo Litzenberger, 2004. "Regional clusters in Germany--their geography and their relevance for entrepreneurial activities," European Planning Studies, Taylor & Francis Journals, vol. 12(6), pages 767-791, September.
    26. Eva Coll‐Martínez & Ana‐Isabel Moreno‐Monroy & Josep‐Maria Arauzo‐Carod, 2019. "Agglomeration of creative industries: An intra‐metropolitan analysis for Barcelona," Papers in Regional Science, Wiley Blackwell, vol. 98(1), pages 409-431, February.
    27. Luisito Bertinelli & Jehan Decrop, 2005. "Geographical agglomeration: Ellison and Glaeser's index applied to the case of Belgian manufacturing industry," Regional Studies, Taylor & Francis Journals, vol. 39(5), pages 567-583.
    28. Zizi Goschin & Daniela L. Constantin & Monica Roman & Bogdan Ileanu, 2009. "Regional Specialisation and Geographic Concentration of Industries in Romania," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 7(1), pages 99-113.
    29. Hyun-Ju Koh & Nadine Riedel, 2014. "Assessing the Localization Pattern of German Manufacturing and Service Industries: A Distance-based Approach," Regional Studies, Taylor & Francis Journals, vol. 48(5), pages 823-843, May.
    30. Paulo Guimarães & Octávio Figueiredo & Douglas Woodward, 2011. "Accounting For Neighboring Effects In Measures Of Spatial Concentration," Journal of Regional Science, Wiley Blackwell, vol. 51(4), pages 678-693, October.
    31. Karl Aiginger & Michael Pfaffermayr, 2004. "The Single Market and Geographic Concentration in Europe," Review of International Economics, Wiley Blackwell, vol. 12(1), pages 1-11, February.
    32. Audretsch, David B & Feldman, Maryann P, 1996. "R&D Spillovers and the Geography of Innovation and Production," American Economic Review, American Economic Association, vol. 86(3), pages 630-640, June.
    33. Wen, Mei, 2004. "Relocation and agglomeration of Chinese industry," Journal of Development Economics, Elsevier, vol. 73(1), pages 329-347, February.
    34. Tabuchi, Takatoshi, 1998. "Urban Agglomeration and Dispersion: A Synthesis of Alonso and Krugman," Journal of Urban Economics, Elsevier, vol. 44(3), pages 333-351, November.
    35. Behrens, Kristian & Bougna, Théophile, 2015. "An anatomy of the geographical concentration of Canadian manufacturing industries," Regional Science and Urban Economics, Elsevier, vol. 51(C), pages 47-69.
    36. Arbia, Giuseppe & Piras, Gianfranco, 2009. "A new class of spatial concentration measures," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4471-4481, October.
    37. Maurel, Francoise & Sedillot, Beatrice, 1999. "A measure of the geographic concentration in french manufacturing industries," Regional Science and Urban Economics, Elsevier, vol. 29(5), pages 575-604, September.
    38. Jungyul Sohn, 2004. "Do birds of a feather flock together?: Economic linkage and geographic proximity," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 38(1), pages 47-73, March.
    39. Sheila A. Chapman, 2013. "Specialization and Agglomeration Patterns in Eastern Europe," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 10(1), pages 49-79, April.
    40. Eric Marcon & Florence Puech, 2010. "Measures of the geographic concentration of industries: improving distance-based methods," Journal of Economic Geography, Oxford University Press, vol. 10(5), pages 745-762, September.
    41. Long, Cheryl & Zhang, Xiaobo, 2012. "Patterns of China's industrialization: Concentration, specialization, and clustering," China Economic Review, Elsevier, vol. 23(3), pages 593-612.
    42. Arbia, G. & Espa, G. & Giuliani, D. & Mazzitelli, A., 2012. "Clusters of firms in an inhomogeneous space: The high-tech industries in Milan," Economic Modelling, Elsevier, vol. 29(1), pages 3-11.
    43. Arbia, Giuseppe & Espa, Giuseppe & Giuliani, Diego & Dickson, Maria Michela, 2014. "Spatio-temporal clustering in the pharmaceutical and medical device manufacturing industry: A geographical micro-level analysis," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 298-304.
    44. Arbia, Giuseppe & Espa, Giuseppe & Giuliani, Diego & Mazzitelli, Andrea, 2010. "Detecting the existence of space-time clustering of firms," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 311-323, September.
    45. Barlet, M. & Briant, A. & Crusson, L., 2013. "Location patterns of service industries in France: A distance-based approach," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 338-351.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiawei Wu & Wei Sun, 2023. "Regional Integration and Sustainable Development in the Yangtze River Delta, China: Towards a Conceptual Framework and Research Agenda," Land, MDPI, vol. 12(2), pages 1-20, February.
    2. Zhang, Lin & He, Xiaoxia & Jia, Zhenli, 2023. "Industrial agglomeration, public services and city size: Evidence from 286 cities in China," Land Use Policy, Elsevier, vol. 131(C).
    3. Suhua Zhang & Yasmin Bani & Aslam Izah Selamat & Judhiana Abdul Ghani, 2022. "Impact of Industrial Agglomeration on China’s Residents’ Consumption," Sustainability, MDPI, vol. 14(7), pages 1-18, April.
    4. Wei Zhao & Xuan Liu & Qingxin Deng & Dongyang Li & Jianing Xu & Mengdi Li & Yaoping Cui, 2020. "Spatial Association of Urbanization in the Yangtze River Delta, China," IJERPH, MDPI, vol. 17(19), pages 1-17, October.
    5. Yihan Chi & Yongheng Fang & Jiamin Liu, 2022. "Spatial–Temporal Evolution Characteristics and Economic Effects of China’s Cultural and Tourism Industries’ Collaborative Agglomeration," Sustainability, MDPI, vol. 14(22), pages 1-23, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Youwei Tan & Zhihui Gu & Yu Chen & Jiayun Li, 2022. "Industry Linkage and Spatial Co-Evolution Characteristics of Industrial Clusters Based on Natural Semantics—Taking the Electronic Information Industry Cluster in the Pearl River Delta as an Example," Sustainability, MDPI, vol. 14(21), pages 1-14, October.
    2. Marcon, Eric & Puech, Florence, 2017. "A typology of distance-based measures of spatial concentration," Regional Science and Urban Economics, Elsevier, vol. 62(C), pages 56-67.
    3. Gabriel Lang & Eric Marcon & Florence Puech, 2020. "Distance-based measures of spatial concentration: introducing a relative density function," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 243-265, April.
    4. Stefania Vitali & Mauro Napoletano & Giorgio Fagiolo, 2013. "Spatial Localization in Manufacturing: A Cross-Country Analysis," Regional Studies, Taylor & Francis Journals, vol. 47(9), pages 1534-1554, October.
    5. Sugam Agarwal & Smruti Ranjan Behera, 2022. "Geographical concentration of knowledge and technology-intensive industries in India: empirical evidence from establishment-level analysis," Indian Economic Review, Springer, vol. 57(2), pages 513-552, December.
    6. Marta R. Casanova & Vicente Orts & José M. Albert, 2017. "Sectoral scope and colocalisation of Spanish manufacturing industries," Journal of Geographical Systems, Springer, vol. 19(1), pages 65-92, January.
    7. A. Tidu & S. Usai & Frederick Guy, 2021. "Agglomeration in manufacturing and services: an experimental application of a distance-based measure to Sardinia," Working Paper CRENoS 202110, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    8. Eric Marcon & Florence Puech, 2012. "A typology of distance-based measures of spatial concentration," Working Papers halshs-00679993, HAL.
    9. Maria Dav? & Isidora Barbaccia, 2015. "Measuring agglomeration by spatial effects: a proposal," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2015(1), pages 44-70.
    10. HAEDO, Christian & MOUCHART, Michel, 2012. "A stochastic independence approach for different measures of concentration and specialization," LIDAM Discussion Papers CORE 2012025, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    11. Behrens, Kristian & Bougna, Théophile, 2015. "An anatomy of the geographical concentration of Canadian manufacturing industries," Regional Science and Urban Economics, Elsevier, vol. 51(C), pages 47-69.
    12. S. Usai & Frederick Guy & A. Tidu, 2022. "Measuring spatial dispersion: an experimental test on the M-index," Working Paper CRENoS 202206, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    13. Domenica Panzera & Alfredo Cartone & Paolo Postiglione, 2022. "New evidence on measuring the geographical concentration of economic activities," Papers in Regional Science, Wiley Blackwell, vol. 101(1), pages 59-79, February.
    14. Laura de Dominicis & Giuseppe Arbia & Henri L.F. de Groot, 2007. "The Spatial Distribution of Economic Activities in Italy," Tinbergen Institute Discussion Papers 07-094/3, Tinbergen Institute.
    15. Cutrini, Eleonora, 2009. "Using entropy measures to disentangle regional from national localization patterns," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 243-250, March.
    16. Mauro Ferrante & Giovanni Luca Lo Magno & Stefano De Cantis & Geoffrey J.D. Hewings, 2020. "Measuring spatial concentration: A transportation problem approach," Papers in Regional Science, Wiley Blackwell, vol. 99(3), pages 663-682, June.
    17. Wolfgang Dauth & Michaela Fuchs & Anne Otto, 2018. "Long‐run processes of geographical concentration and dispersion: Evidence from Germany," Papers in Regional Science, Wiley Blackwell, vol. 97(3), pages 569-593, August.
    18. Christ, Julian P., 2010. "Geographic concentration and spatial inequality: Two decades of EPO patenting at the level of European micro regions," Violette Reihe: Schriftenreihe des Promotionsschwerpunkts "Globalisierung und Beschäftigung" 32/2010, University of Hohenheim, Carl von Ossietzky University Oldenburg, Evangelisches Studienwerk.
    19. Gabriel Lang & Eric Marcon & Florence Puech, 2019. "Distance-Based Measures Of Spatial Concentration: Introducing A Relative Density Function," Working Papers hal-01082178, HAL.
    20. Giulio Cainelli & Roberto Ganau & Yuting Jiang, 2020. "Detecting space–time agglomeration processes over the Great Recession using firm-level micro-geographic data," Journal of Geographical Systems, Springer, vol. 22(4), pages 419-445, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:20:p:5811-:d:278346. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.