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

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Yuan, Huaxi & Feng, Yidai & Lee, Chien-Chiang & Cen, Yan, 2020. "How does manufacturing agglomeration affect green economic efficiency?," Energy Economics, Elsevier, vol. 92(C).
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    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.

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