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Analysis of the Spatial and Temporal Characteristics and Dynamic Effects of Urban-Rural Integration Development in the Yangtze River Delta Region

Author

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  • Wei Zhao

    (College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China)

  • Changjun Jiang

    (College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China)

Abstract

Urban-rural integration has been found to be an inevitable trend in the development of urban-rural relations and a vital measure to tackle the unbalanced and uncoordinated development between urban and rural areas. Most existing studies on the development of urban-rural integration have only estimated its level and factors and compared the heterogeneity of cities in sample regions. Few studies have focused on the interactions between different categories of urban-rural integration levels. Accordingly, to fill the above research gap, an evaluation index system of the development of urban-rural integration is built in this study from four economic-social-spatial-ecological dimensions, the spatial and temporal evolution characteristics of the development of urban-rural integration in 27 central cities in the Yangtze River Delta region between 2003 and 2020 are analyzed, and the intrinsic dynamic shock effects are empirically investigated using a panel vector autoregression (PVAR) model. This study suggests the following points: (1) the development of urban-rural integration in the Yangtze River Delta region tends to increase while fluctuating and experiences an evolutionary process of “severe dysfunction–moderate dysfunction–mild dysfunction”, with an overall positive development trend. (2) In the study period, the agglomeration effect of the level of the development of urban-rural integration in the Yangtze River Delta has been strengthened continuously, and the overall spatial distribution pattern has changed from “low level, low gap” to “high level, high gap”, showing the characteristics of decreasing class distribution step by step, with Shanghai and Anqing as the markers from east to west. (3) All the endogenous variables of the development of urban-rural integration show a continuous positive response to their own shocks, thus suggesting that the respective variable has a certain path dependence on itself. Shocks of urban-rural ecological integration are capable of boosting the improvement of urban-rural economic integration and urban-rural social integration development, and shocks of urban-rural social integration contribute to the improvement of urban-rural ecological integration. The important policy implication of this study is that an intra-regional linkage and coordination mechanism should be built in the future, while the focus should be placed on the heterogeneity of regional development, and policies and measures regarding development of urban-rural integration in a disaggregated manner should be developed, so as to facilitate the improvement of the level of regional development of urban-rural integration.

Suggested Citation

  • Wei Zhao & Changjun Jiang, 2022. "Analysis of the Spatial and Temporal Characteristics and Dynamic Effects of Urban-Rural Integration Development in the Yangtze River Delta Region," Land, MDPI, vol. 11(7), pages 1-22, July.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:7:p:1054-:d:860539
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    as
    1. Xu, Hengzhou & Jiao, Man, 2021. "City size, industrial structure and urbanization quality—A case study of the Yangtze River Delta urban agglomeration in China," Land Use Policy, Elsevier, vol. 111(C).
    2. Jiang, Changjun & Li, Jintao & Liu, Jilai, 2022. "Does urbanization affect the gap between urban and rural areas? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    3. Sophie Brana & Stéphanie Prat & Marie-Louise Djibenou, 2012. "Global excess liquidity and asset prices in emerging countries: a pvar approach Abstract : The overly accommodating monetary policy is often accused of creating surplus liquidity and bubbles on the as," Larefi Working Papers 201203, Larefi, Université Bordeaux 4.
    4. Chia, Poh San & Law, Siong Hook & Trinugroho, Irwan & Wiwoho, Jamal & Damayanti, Sylviana Maya & Sergi, Bruno S., 2022. "Dynamic linkages among transparency, income inequality and economic growth in developing countries: Evidence from panel vector autoregressive (PVAR) model," Research in International Business and Finance, Elsevier, vol. 60(C).
    5. Siong Hook Law & Sylviana Maya Damayanti & Ali M Kutan & Irwan Trinugroho, 2022. "Non-linearity and the threshold effect of transparency on economic growth: evidence from developing countries," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 25(4), pages 388-414, October.
    6. Brana, Sophie & Djigbenou, Marie-Louise & Prat, Stéphanie, 2012. "Global excess liquidity and asset prices in emerging countries: A PVAR approach," Emerging Markets Review, Elsevier, vol. 13(3), pages 256-267.
    7. Daizhong Tang & Mengyuan Mao & Jiangang Shi & Wenwen Hua, 2021. "The Spatio-Temporal Analysis of Urban-Rural Coordinated Development and Its Driving Forces in Yangtze River Delta," Land, MDPI, vol. 10(5), pages 1-21, May.
    8. Mingxing Chen & Yuan Zhou & Xinrong Huang & Chao Ye, 2021. "The Integration of New-Type Urbanization and Rural Revitalization Strategies in China: Origin, Reality and Future Trends," Land, MDPI, vol. 10(2), pages 1-16, February.
    9. Jonna Rickardsson, 2021. "The urban–rural divide in radical right populist support: the role of resident’s characteristics, urbanization trends and public service supply," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(1), pages 211-242, August.
    10. Andrews, Donald W. K. & Lu, Biao, 2001. "Consistent model and moment selection procedures for GMM estimation with application to dynamic panel data models," Journal of Econometrics, Elsevier, vol. 101(1), pages 123-164, March.
    11. Tan, Shukui & Hu, Bixia & Kuang, Bing & Zhou, Min, 2021. "Regional differences and dynamic evolution of urban land green use efficiency within the Yangtze River Delta, China," Land Use Policy, Elsevier, vol. 106(C).
    12. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Land use efficiency and influencing factors of urban agglomerations in China," Land Use Policy, Elsevier, vol. 88(C).
    13. Mohammad Taghi Sheykhi, 2016. "Rural - Urban Balance as a Measure of Socio-Economic Development with Special Reference to Iran," Journal of Social Economics Research, Conscientia Beam, vol. 3(1), pages 1-12.
    14. Mohammad Taghi Sheykhi, 2016. "Rural - Urban Balance as a Measure of Socio-Economic Development with Special Reference to Iran," Journal of Social Economics Research, Conscientia Beam, vol. 3(1), pages 1-12.
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    3. Shiwei Lu & Yaping Huang & Xiaoqing Wu & Yichen Ding, 2022. "Evaluation, Recognition and Implications of Urban–Rural Integration Development: A Township-Level Analysis of Hanchuan City in Wuhan Metropolitan Area," Land, MDPI, vol. 12(1), pages 1-18, December.
    4. Yiqun Wu & Yuan Sun & Congyue Zhou & Yonghua Li & Xuanli Wang & Huifang Yu, 2023. "Spatial–Temporal Characteristics of Carbon Emissions in Mixed-Use Villages: A Sustainable Development Study of the Yangtze River Delta, China," Sustainability, MDPI, vol. 15(20), pages 1-21, October.
    5. Zhongqi Xie & Ying Zhang & Zhiqiang Fang, 2022. "The Space–Time Evolution of the Coupling and Coordinated Development of Public Cultural Services and Cultural Industries: A Case Study of 31 Regions in China," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    6. 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.
    7. Ting You & Shuiyu Yan, 2023. "Spatial Differentiation and Driving Force Detection of Rural Settlements in the Yangtze River Delta Region," Sustainability, MDPI, vol. 15(11), pages 1-18, May.

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