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Assessing the Effectiveness of Administrative District Realignments Based on a Geographically and Temporally Weighted Regression Model

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  • Zhenghui Zhu

    (School of Government, Liaoning Normal University, Dalian 116029, China
    School of Geographical Sciences, Liaoning Normal University, Dalian 116029, China)

  • Yao Lu

    (School of Geographical Sciences, Liaoning Normal University, Dalian 116029, China)

  • Li Wang

    (School of Geographical Sciences, Liaoning Normal University, Dalian 116029, China)

  • Wanbo Liu

    (School of Geographical Sciences, Liaoning Normal University, Dalian 116029, China)

  • Lingen Wang

    (Department of Resource Ecology and Biological Resources, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

The long-term effects of administrative division adjustments on economic development in Dalian City, China, is presently unclear. Therefore, we employed a geographically and temporally weighted regression model to construct an index assessment system using the annual number of newly registered enterprises as the dependent variable. We empirically studied the effects of administrative division adjustments of townships in Dalian City from 2010 to 2020. The results showed that: (i) adjustments in townships administrative divisions negatively affected regional enterprise concentrations and economic development in general, whereas industrial and transportation factors demonstrated positive effects to variable degrees, and the effects of policy, location, and population factors were not significant. (ii) Over time, the effects of townships administrative division adjustments changed from positive to negative, and the negative effects displayed an increasing trend, revealing that (iii) the effect of administrative division adjustments in Dalian City was positive and negative over time. This further reveals the objective problem that administrative division adjustment in recent years was effective over the short term, but not over the long term. (iv) During the study period, administrative division adjustments positively affected regional enterprise concentrations and economic development solely during a short time frame and in a small geographical area. However, its negative effects increased extensively, which infers that maintaining a relatively stable administrative division is more beneficial for promoting economic development in Dalian City.

Suggested Citation

  • Zhenghui Zhu & Yao Lu & Li Wang & Wanbo Liu & Lingen Wang, 2022. "Assessing the Effectiveness of Administrative District Realignments Based on a Geographically and Temporally Weighted Regression Model," Land, MDPI, vol. 11(8), pages 1-16, July.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1126-:d:869375
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    References listed on IDEAS

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    1. Jeanne M. Pickering & John Leslie King, 1995. "Hardwiring Weak Ties: Interorganizational Computer-Mediated Communication, Occupational Communities, and Organizational Change," Organization Science, INFORMS, vol. 6(4), pages 479-486, August.
    2. Huisheng Yu & Jun Yang & Dongqi Sun & Tong Li & Yanjun Liu, 2022. "Spatial Responses of Ecosystem Service Value during the Development of Urban Agglomerations," Land, MDPI, vol. 11(2), pages 1-12, January.
    3. Ashley N. Arnio & Eric P. Baumer, 2012. "Demography, foreclosure, and crime:," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 26(18), pages 449-488.
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