IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v22y2020i4d10.1007_s10668-019-00328-1.html
   My bibliography  Save this article

Manufacturing industry agglomeration and spatial clustering: Evidence from Hebei Province, China

Author

Listed:
  • Chenxi Li

    (Xi’an University of Architecture and Technology)

  • Kening Wu

    (China University of Geosciences (Beijing)
    Ministry of Land and Resources)

  • Xiangyu Gao

    (China University of Geosciences (Beijing))

Abstract

Industrial spatial agglomeration is the most prominent geographical feature of economic activities. This paper examined the current situation of manufacturing industry agglomeration in Hebei Province by using the industrial location quotient and exploratory spatial data analysis. The results showed that (1) the industrial location quotient of 11 cities’ 31 manufacturing industries in Hebei Province indicated that there was a significant difference among manufacturing industry agglomeration of the 11 cities in Hebei Province. (2) Global spatial autocorrelation of manufacturing industry agglomeration showed that TA (Manufacture of Textile, Apparel), T (Manufacture of Textile), PFM (Manufacture and Processing of Ferrous Metals), CF (Manufacture of Chemical Fibre), LFF (Manufacture of Leather, Fur, Feather and Its Products and Footwear), AAE (Manufacture of Articles for Culture, Arts and Crafts, Education, Sport Activities and Entertainment Goods) and RP (Manufacture of Rubber and Plastic) showed agglomeration characteristics. (3) According to the industrial location quotient and local spatial autocorrelation, the spatial cluster of manufacturing industry agglomeration in Hebei Province was divided into “Diffusion Centre”, “Primary Diffusion Centre”, “Polarization Centre” and “Less Developed Area”.

Suggested Citation

  • Chenxi Li & Kening Wu & Xiangyu Gao, 2020. "Manufacturing industry agglomeration and spatial clustering: Evidence from Hebei Province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(4), pages 2941-2965, April.
    • Handle: RePEc:spr:endesu:v:22:y:2020:i:4:d:10.1007_s10668-019-00328-1
    DOI: 10.1007/s10668-019-00328-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-019-00328-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-019-00328-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hu, Xisheng & Wu, Chengzhen & Wang, Jiankai & Qiu, Rongzu, 2018. "Identification of spatial variation in road network and its driving patterns: Economy and population," Regional Science and Urban Economics, Elsevier, vol. 71(C), pages 37-45.
    2. Cainelli, Giulio & Ganau, Roberto & Giunta, Anna, 2018. "Spatial agglomeration, Global Value Chains, and productivity. Micro-evidence from Italy and Spain," Economics Letters, Elsevier, vol. 169(C), pages 43-46.
    3. Combes, Pierre-Philippe & Gobillon, Laurent, 2015. "The Empirics of Agglomeration Economies," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 247-348, Elsevier.
    4. Herstad, Sverre J. & Aslesen, Heidi Wiig & Ebersberger, Bernd, 2014. "On industrial knowledge bases, commercial opportunities and global innovation network linkages," Research Policy, Elsevier, vol. 43(3), pages 495-504.
    5. Ehrl, Philipp, 2013. "Agglomeration economies with consistent productivity estimates," Regional Science and Urban Economics, Elsevier, vol. 43(5), pages 751-763.
    6. Drucker, Joshua & Feser, Edward, 2012. "Regional industrial structure and agglomeration economies: An analysis of productivity in three manufacturing industries," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 1-14.
    7. Wren, Colin, 2012. "Geographic concentration and the temporal scope of agglomeration economies: An index decomposition," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 681-690.
    8. Ikeda, Kiyohiro & Akamatsu, Takashi & Kono, Tatsuhito, 2012. "Spatial period-doubling agglomeration of a core–periphery model with a system of cities," Journal of Economic Dynamics and Control, Elsevier, vol. 36(5), pages 754-778.
    9. Ahlborn, Markus & Wortmann, Marcus, 2018. "The core‒periphery pattern of European business cycles: A fuzzy clustering approach," Journal of Macroeconomics, Elsevier, vol. 55(C), pages 12-27.
    10. repec:zbw:bofrdp:2015_027 is not listed on IDEAS
    11. Carlino, Gerald & Kerr, William R., 2015. "Agglomeration and Innovation," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 349-404, Elsevier.
    12. Mori, Tomoya & Smith, Tony E., 2015. "On the spatial scale of industrial agglomerations," Journal of Urban Economics, Elsevier, vol. 89(C), pages 1-20.
    13. Yamamura, Eiji & Shin, Inyong, 2007. "Dynamics of agglomeration economies and regional industrial structure: The case of the assembly industry of the Greater Tokyo Region, 1960-2000," Structural Change and Economic Dynamics, Elsevier, vol. 18(4), pages 483-499, December.
    14. repec:zbw:bofrdp:urn:nbn:fi:bof-201512111472 is not listed on IDEAS
    15. Ning, Lutao & Wang, Fan & Li, Jian, 2016. "Urban innovation, regional externalities of foreign direct investment and industrial agglomeration: Evidence from Chinese cities," Research Policy, Elsevier, vol. 45(4), pages 830-843.
    16. Taddeo, Raffaella & Simboli, Alberto & Morgante, Anna & Erkman, Suren, 2017. "The Development of Industrial Symbiosis in Existing Contexts. Experiences From Three Italian Clusters," Ecological Economics, Elsevier, vol. 139(C), pages 55-67.
    17. Colin Davis & Ken-Ichi Hashimoto, 2015. "Industry Concentration, Knowledge Diffusion and Economic Growth Without Scale Effects," Economica, London School of Economics and Political Science, vol. 82(328), pages 769-789, October.
    18. Gilles Duranton & J. V. Henderson & William C. Strange (ed.), 2015. "Handbook of Regional and Urban Economics," Handbook of Regional and Urban Economics, Elsevier, edition 1, volume 5, number 5.
    19. World Bank, 2018. "The World Bank Annual Report 2018 [Informe Anual 2018 del Banco Mundial]," World Bank Publications - Books, The World Bank Group, number 30326.
    20. Wu, Shanhua & Yang, Zhongzhen, 2018. "Locating manufacturing industries by flow-capturing location model – Case of Chinese steel industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 1-11.
    21. Tyralis, Hristos & Karakatsanis, Georgios & Tzouka, Katerina & Mamassis, Nikos, 2017. "Exploratory data analysis of the electrical energy demand in the time domain in Greece," Energy, Elsevier, vol. 134(C), pages 902-918.
    22. Paul Krugman, 1997. "Development, Geography, and Economic Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 026261135x, April.
    23. Athukorala, Prema-chandra & Narayanan, Suresh, 2018. "Economic corridors and regional development: The Malaysian experience," World Development, Elsevier, vol. 106(C), pages 1-14.
    24. Michael Landesmann & Roman Stöllinger, 2018. "Structural Change, Trade and Global Production Networks," wiiw Policy Notes 21, The Vienna Institute for International Economic Studies, wiiw.
    25. Liang, Jiaochen & Goetz, Stephan J., 2018. "Technology intensity and agglomeration economies," Research Policy, Elsevier, vol. 47(10), pages 1990-1995.
    26. Davis, Colin & Hashimoto, Ken-ichi, 2014. "Patterns of technology, industry concentration, and productivity growth without scale effects," Journal of Economic Dynamics and Control, Elsevier, vol. 40(C), pages 266-278.
    27. Liu, Dongya & Zheng, Xinqi & Wang, Hongbin & Zhang, Chunxiao & Li, Jiayang & Lv, Yongqiang, 2018. "Interoperable scenario simulation of land-use policy for Beijing–Tianjin–Hebei region, China," Land Use Policy, Elsevier, vol. 75(C), pages 155-165.
    28. Billings, Stephen B. & Johnson, Erik B., 2012. "The location quotient as an estimator of industrial concentration," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 642-647.
    29. Brunello, Giorgio & Langella, Monica, 2016. "Local agglomeration, entrepreneurship and the 2008 recession: Evidence from Italian industrial districts," Regional Science and Urban Economics, Elsevier, vol. 58(C), pages 104-114.
    30. Lau, Pong-Lung & Koo, Tay T.R. & Dwyer, Larry, 2017. "Metrics to measure the geographic characteristics of tourism markets: An integrated approach based on Gini index decomposition," Tourism Management, Elsevier, vol. 59(C), pages 171-181.
    31. ., 2017. "Engines, ecologies and economic systems," Chapters, in: Public Debt, chapter 3, pages 57-83, Edward Elgar Publishing.
    32. Ge, Houtian & Goetz, Stephan & Canning, Patrick & Perez, Agnes, 2018. "Optimal locations of fresh produce aggregation facilities in the United States with scale economies," International Journal of Production Economics, Elsevier, vol. 197(C), pages 143-157.
    33. Chenxi Li & Kening Wu & Jingyao Wu, 2018. "Urban land use change and its socio-economic driving forces in China: a case study in Beijing, Tianjin and Hebei region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(3), pages 1405-1419, June.
    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. Chenxi Li & Kening Wu, 2022. "An input–output analysis of transportation equipment manufacturing industrial transfer: Evidence from Beijing‐Tianjin‐Hebei region, China," Growth and Change, Wiley Blackwell, vol. 53(1), pages 91-111, March.
    2. Xu, Jie & Lv, Tao & Hou, Xiaoran & Deng, Xu & Li, Na & Liu, Feng, 2022. "Spatiotemporal characteristics and influencing factors of renewable energy production in China: A spatial econometric analysis," Energy Economics, Elsevier, vol. 116(C).
    3. Tanaka, Kenta & Managi, Shunsuke, 2021. "Industrial agglomeration effect for energy efficiency in Japanese production plants," Energy Policy, Elsevier, vol. 156(C).
    4. Tinghui Wang & Qi Fu & Yue Wang & Mengfan Gao & Jinhua Chen, 2022. "The Interaction Mechanism of Fiscal Pressure, Local Government Behavioral Preferences and Environmental Governance Efficiency: Evidence from the Yangtze River Delta Region of China," IJERPH, MDPI, vol. 19(24), pages 1-22, December.
    5. Lei Luo & Zhenhua Zheng & Jing Luo & Yuqiu Jia & Qi Zhang & Chun Wu & Yifeng Zhang & Jia Sun, 2020. "Spatial Agglomeration of Manufacturing in the Wuhan Metropolitan Area: An Analysis of Sectoral Patterns and Determinants," Sustainability, MDPI, vol. 12(19), pages 1-23, September.
    6. He Sun & Xueming Li & Yingying Guan & Shenzhen Tian & He Liu, 2021. "The Evolution of the Urban Residential Space Structure and Driving Forces in the Megacity—A Case Study of Shenyang City," Land, MDPI, vol. 10(10), pages 1-19, October.
    7. Feng, Wei & Sun, Shujun & Yuan, Hang, 2023. "Research on the efficiency of factor allocation in the pilot free trade zones," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 727-745.
    8. Shuaiwei Shi & Meiyi Hou & Zifan Gu & Ce Jiang & Weiqiang Zhang & Mengyang Hou & Chenxi Li & Zenglei Xi, 2022. "Estimation of Heavy Metal Content in Soil Based on Machine Learning Models," Land, MDPI, vol. 11(7), pages 1-19, July.
    9. Ping Lu & Jianhui Liu & Yunxuan Wang & Lei Ruan, 2021. "Can industrial agglomeration improve regional green total factor productivity in China? An empirical analysis based on spatial econometrics," Growth and Change, Wiley Blackwell, vol. 52(2), pages 1011-1039, June.
    10. Li, Zhengda & Zheng, Chengxin & Liu, Aimin & Yang, Yang & Yuan, Xiaoling, 2022. "Environmental taxes, green subsidies, and cleaner production willingness: Evidence from China's publicly traded companies," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    11. Yunxia Zhuo & Tao Liu, 2022. "Rural Industrial Geography in Urbanizing China: A Multiscalar Analysis of a Case Study in Xintai, Northern China," Land, MDPI, vol. 11(5), pages 1-19, May.
    12. Lili Guo & Yuting Song & Shuang Zhao & Mengqian Tang & Yangli Guo & Mengying Su & Houjian Li, 2022. "Dynamic Linkage between Aging, Mechanizations and Carbon Emissions from Agricultural Production," IJERPH, MDPI, vol. 19(10), pages 1-22, May.
    13. Zhenchao Zhang & Weixin Luan & Chuang Tian & Min Su & Zeyang Li, 2021. "Spatial Distribution Equilibrium and Relationship between Construction Land Expansion and Basic Education Schools in Shanghai Based on POI Data," Land, MDPI, vol. 10(10), pages 1-17, October.
    14. Wang, Jianda & Guo, Dongsheng, 2023. "Siphon and radiation effects of ICT agglomeration on green total factor productivity: Evidence from a spatial Durbin model," Energy Economics, Elsevier, vol. 126(C).
    15. Zhiheng Yang & Shaoxing Li & Dongqi Sun & Chenxi Li & Jiahui Wu, 2022. "Intensive Evaluation and High-Quality Redevelopment of Enterprise Land Use: A Case Study in China," Land, MDPI, vol. 11(3), pages 1-17, March.
    16. Hua Huang & Mengyang Hou & Shunbo Yao, 2022. "Urbanization and Grain Production Pattern of China: Dynamic Effect and Mediating Mechanism," Agriculture, MDPI, vol. 12(4), pages 1-21, April.

    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. Lei Luo & Zhenhua Zheng & Jing Luo & Yuqiu Jia & Qi Zhang & Chun Wu & Yifeng Zhang & Jia Sun, 2020. "Spatial Agglomeration of Manufacturing in the Wuhan Metropolitan Area: An Analysis of Sectoral Patterns and Determinants," Sustainability, MDPI, vol. 12(19), pages 1-23, September.
    2. Tania Paola Torres-Gutiérrez & Ronny Correa-Quezada & María de la Cruz del Río-Rama & José Álvarez-García, 2020. "Location Decisions of New Manufacturing Firms in Ecuador. Agglomeration Mechanisms," Mathematics, MDPI, vol. 8(8), pages 1-24, August.
    3. Wei Zhao & Chao Zhu & Yaoyao Zhu, 2022. "The Comparative Advantage of Cities and Innovation Value Chain: Evidence from China," Sustainability, MDPI, vol. 14(6), pages 1-14, March.
    4. Combes, Pierre-Philippe & Gobillon, Laurent, 2015. "The Empirics of Agglomeration Economies," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 247-348, Elsevier.
    5. Carlos Carreira & Luís Lopes, 2020. "How are the potential gains from economic activity transmitted to the labour factor: more employment or more wages? Evidence from the Portuguese context," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(2), pages 319-348, April.
    6. Akamatsu, Takashi & Mori, Tomoya & Osawa, Minoru & Takayama, Yuki, 2017. "Spatial scale of agglomeration and dispersion: Theoretical foundations and empirical implications," MPRA Paper 80689, University Library of Munich, Germany.
    7. Steven Bond-Smith & Philip McCann & Les Oxley, 2018. "A regional model of endogenous growth without scale assumptions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 13(1), pages 5-35, January.
    8. Carl Gaigné & Jacques-François Thisse, 2013. "New Economic Geography and the City," Working Papers SMART 13-02, INRAE UMR SMART.
    9. Franz-Josef Bade & Eckhardt Bode & Eleonora Cutrini, 2015. "Spatial fragmentation of industries by functions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(1), pages 215-250, January.
    10. Grace Carolina Guevara-Rosero & Stéphane Riou & Corinne Autant-Bernard, 2019. "Agglomeration externalities in Ecuador: do urbanization and tertiarization matter?," Regional Studies, Taylor & Francis Journals, vol. 53(5), pages 706-719, May.
    11. Takashi Akamatsu & Tomoya Mori & Yuki Takayama, 2015. "Agglomerations in a multi-region economy: Poly-centric versus mono-centric patterns," KIER Working Papers 929, Kyoto University, Institute of Economic Research.
    12. Gilles Duranton & Diego Puga, 2023. "Urban Growth and Its Aggregate Implications," Econometrica, Econometric Society, vol. 91(6), pages 2219-2259, November.
    13. Bosquet, Clément & Combes, Pierre-Philippe, 2017. "Sorting and agglomeration economies in French economics departments," Journal of Urban Economics, Elsevier, vol. 101(C), pages 27-44.
    14. repec:hal:spmain:info:hdl:2441/4jn6cjcel9913942jpruv3pju6 is not listed on IDEAS
    15. HAMAGUCHI Nobuaki & KONDO Keisuke, 2015. "Fresh Brain Power and Quality of Innovation in Cities: Evidence from the Japanese patent database," Discussion papers 15108, Research Institute of Economy, Trade and Industry (RIETI).
    16. Gilles Duranton & Diego Puga, 2020. "The Economics of Urban Density," Journal of Economic Perspectives, American Economic Association, vol. 34(3), pages 3-26, Summer.
    17. repec:spo:wpmain:info:hdl:2441/1kv8mtgl748r0ahh12air9erdc is not listed on IDEAS
    18. Annekatrin Niebuhr & Jan Cornelius Peters & Alex Schmidke, 2020. "Spatial sorting of innovative firms and heterogeneous effects of agglomeration on innovation in Germany," The Journal of Technology Transfer, Springer, vol. 45(5), pages 1343-1375, October.
    19. Stef Proost & Jacques-François Thisse, 2019. "What Can Be Learned from Spatial Economics?," Journal of Economic Literature, American Economic Association, vol. 57(3), pages 575-643, September.
    20. repec:spo:wpmain:info:hdl:2441/4jn6cjcel9913942jpruv3pju6 is not listed on IDEAS
    21. repec:hal:spmain:info:hdl:2441/1kv8mtgl748r0ahh12air9erdc is not listed on IDEAS
    22. Thisse, Jacques-François & Liang, Wen-Jung & Mai, Chao-Cheng & Wang, Ping, 2019. "On the Economics of Science Parks," CEPR Discussion Papers 13568, C.E.P.R. Discussion Papers.
    23. Benjamin Goldman & Thomas H. Klier & Thomas Walstrum, 2016. "Evidence on the Within-Industry Agglomeration of R&D, Production, and Administrative Occupations," Working Paper Series WP-2016-20, Federal Reserve Bank of Chicago.
    24. Dong Feng & Jian Li & Xintao Li & Zaisheng Zhang, 2019. "The Effects of Urban Sprawl and Industrial Agglomeration on Environmental Efficiency: Evidence from the Beijing–Tianjin–Hebei Urban Agglomeration," Sustainability, MDPI, vol. 11(11), pages 1-12, May.

    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:spr:endesu:v:22:y:2020:i:4:d:10.1007_s10668-019-00328-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.