IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i11p6733-d828747.html
   My bibliography  Save this article

Analysis of Industrial Diversification Level of Economic Development in Rural Areas Using Herfindahl Index and Two-Step Clustering

Author

Listed:
  • Rui Qu

    (Department of Agricultural and Rural Engineering, Chungbuk National University, Chungdaero 1, Cheongju 28644, Korea)

  • Zaewoong Rhee

    (Department of Agricultural Economics, Chungbuk National University, Chungdaero 1, Cheongju 28644, Korea)

  • Seung-Jong Bae

    (Institutes of Green Bio Science and Technology, Seoul National University, 1447 Pyeongchang-daero, Pyeongchang-gun 25354, Korea)

  • Sang-Hyun Lee

    (Department of Agricultural and Rural Engineering, Chungbuk National University, Chungdaero 1, Cheongju 28644, Korea)

Abstract

The purpose of this study is to analyze the possible relationship between industrial structure and economic development in rural areas in South Korea. Accordingly, this study uses the Herfindahl–Hirschman Index and a two-step cluster analysis method to conduct an empirical analysis of the rural areas of Chungcheongbuk-do as the research object. The results show that among the 11 regions with concentrated industrial structures, the cluster results of 2 regions changed from the decentralized low employment cluster in 2010 to a concentrated high employment cluster in 2015, while the cluster results of other regions remained unchanged. Among the 18 regions with decentralized industrial structure, the cluster results of 5 regions changed from the concentrated high employment cluster in 2010 to the decentralized low employment cluster. Meanwhile, the cluster results of three regions changed from the decentralized low employment cluster in 2010 to the concentrated high employment cluster in 2015, while the cluster results of other regions remained unchanged. Based on this, it can be concluded that, for general rural areas, a low level of industrial diversification, that is, a concentrated industrial structure, is more conducive to promoting the economic development of rural areas. However, there is a special case, namely that rural areas with certain specific advantages, a high level of industrial diversification, or a decentralized industrial structure are more conducive to the development of the regional economy.

Suggested Citation

  • Rui Qu & Zaewoong Rhee & Seung-Jong Bae & Sang-Hyun Lee, 2022. "Analysis of Industrial Diversification Level of Economic Development in Rural Areas Using Herfindahl Index and Two-Step Clustering," Sustainability, MDPI, vol. 14(11), pages 1-19, May.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6733-:d:828747
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/11/6733/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/11/6733/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. GAO Tianming & Anna Ivolga & Vasilii Erokhin, 2018. "Sustainable Rural Development in Northern China: Caught in a Vice between Poverty, Urban Attractions, and Migration," Sustainability, MDPI, vol. 10(5), pages 1-20, May.
    2. Yuan, Huaxi & Feng, Yidai & Lee, Chien-Chiang & Cen, Yan, 2020. "How does manufacturing agglomeration affect green economic efficiency?," Energy Economics, Elsevier, vol. 92(C).
    3. Gambardella, Alfonso & Torrisi, Salvatore, 1998. "Does technological convergence imply convergence in markets? Evidence from the electronics industry," Research Policy, Elsevier, vol. 27(5), pages 445-463, September.
    4. Stephen A. Rhoades, 1993. "The Herfindahl-Hirschman index," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Mar, pages 188-189.
    5. Ying Lu & Walter Timo de Vries, 2022. "A Discourse Analysis of 40 Years Rural Development in China," Sustainability, MDPI, vol. 14(9), pages 1-20, April.
    6. Yusak Susilo & Kay Axhausen, 2014. "Repetitions in individual daily activity–travel–location patterns: a study using the Herfindahl–Hirschman Index," Transportation, Springer, vol. 41(5), pages 995-1011, September.
    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. Mingming Jin & Ni Chen & Haisheng Sun & Fangping Cao, 2023. "Characteristics of Spatial–Temporal Differences and Measurement of the Level of Forestry Industry Integration in China," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    2. Chengfu Wang & Lijun Song & Haoqi Lu & Shuxin Zheng & Chengfeng Huang, 2022. "Assessing the Economic Energy Level of the Chengdu–Chongqing Economic Circle: An Integrative Perspective of “Field Source” and “Field”," Sustainability, MDPI, vol. 14(16), pages 1-22, August.

    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. Heinen, Eva & Chatterjee, Kiron, 2015. "The same mode again? An exploration of mode choice variability in Great Britain using the National Travel Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 266-282.
    2. Luo, Tao & Khoshnevisan, Benyamin & Huang, Ruyi & Chen, Qiu & Mei, Zili & Pan, Junting & Liu, Hongbin, 2020. "Analysis of revolution in decentralized biogas facilities caused by transition in Chinese rural areas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    3. Lingzhang Kong & Jinye Li, 2022. "Digital Economy Development and Green Economic Efficiency: Evidence from Province-Level Empirical Data in China," Sustainability, MDPI, vol. 15(1), pages 1-26, December.
    4. Thomas Bolli & Martin Woerter, 2013. "Technological Diversification and Innovation Performance," KOF Working papers 13-336, KOF Swiss Economic Institute, ETH Zurich.
    5. D'Este, Pablo, 2005. "How do firms' knowledge bases affect intra-industry heterogeneity?: An analysis of the Spanish pharmaceutical industry," Research Policy, Elsevier, vol. 34(1), pages 33-45, February.
    6. Liu, Yan & Wang, Siqin & Xie, Bin, 2019. "Evaluating the effects of public transport fare policy change together with built and non-built environment features on ridership: The case in South East Queensland, Australia," Transport Policy, Elsevier, vol. 76(C), pages 78-89.
    7. Khushalani, Jaya & Ozcan, Yasar A., 2017. "Are hospitals producing quality care efficiently? An analysis using Dynamic Network Data Envelopment Analysis (DEA)," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 15-23.
    8. Seongkyoon Jeong & Jong-Chan Kim & Jae Young Choi, 2015. "Technology convergence: What developmental stage are we in?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 841-871, September.
    9. Lorenz, Steffi, 2015. "Diversität und Verbundenheit der unternehmerischen Wissensbasis: Ein neuartiger Messansatz mit Indikatoren aus Innovationsprojekten," Discussion Papers on Strategy and Innovation 15-01, Philipps-University Marburg, Department of Technology and Innovation Management (TIM).
    10. Lorena Mitrione & George Tanewski & Jacqueline Birt, 2014. "The relevance to firm valuation of research and development expenditure in the Australian health-care industry," Australian Journal of Management, Australian School of Business, vol. 39(3), pages 425-452, August.
    11. Dejing Kong & Jianzhong Yang & Lingfeng Li, 2020. "Early identification of technological convergence in numerical control machine tool: a deep learning approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1983-2009, December.
    12. Gallego-Losada, María-Jesús & Montero-Navarro, Antonio & García-Abajo, Elisa & Gallego-Losada, Rocío, 2023. "Digital financial inclusion. Visualizing the academic literature," Research in International Business and Finance, Elsevier, vol. 64(C).
    13. Wang, Mei Ling, 2023. "Effects of the green finance policy on the green innovation efficiency of the manufacturing industry: A difference-in-difference model," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    14. Zhen Wang & Xupeng Zhang & Chaozheng Zhang & Qing Yang, 2022. "How Regional Integration Affects Urban Green Development Efficiency: Evidence from Urban Agglomeration in the Middle Reaches of the Yangtze River," IJERPH, MDPI, vol. 19(13), pages 1-16, June.
    15. Sick, Nathalie & Preschitschek, Nina & Leker, Jens & Bröring, Stefanie, 2019. "A new framework to assess industry convergence in high technology environments," Technovation, Elsevier, vol. 84, pages 48-58.
    16. Rui Baptista & Murat Karaöz & João Correia Leitão, 2020. "Diversification by young, small firms: the role of pre-entry resources and entry mistakes," Small Business Economics, Springer, vol. 55(1), pages 103-122, June.
    17. Youchung Kwon & Bo Kyung Kim, 2024. "When we unite, not divide: status homophily, group average status, and group performance in the Korean film industry," Asian Business & Management, Palgrave Macmillan, vol. 23(1), pages 9-31, February.
    18. Ying Lu & Walter Timo de Vries, 2023. "Spatio-Temporal Analysis of Rural Development in China over the Past 40 Years," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    19. Matheus Koengkan & José Alberto Fuinhas & Emad Kazemzadeh & Fariba Osmani & Nooshin Karimi Alavijeh, 2022. "Measuring the economic efficiency performance in Latin American and Caribbean countries: An empirical evidence from stochastic production frontier and data envelopment analysis," International Economics, CEPII research center, issue 169, pages 43-54.
    20. Sanghoon Lee & Wonjoon Kim, 2017. "The knowledge network dynamics in a mobile ecosystem: a patent citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 717-742, 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:gam:jsusta:v:14:y:2022:i:11:p:6733-:d:828747. 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.