IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i9p1522-d1471242.html
   My bibliography  Save this article

Spatiotemporal Dynamics and Spatial Spillover Effects of Resilience in China’s Agricultural Economy

Author

Listed:
  • Liang Luo

    (College of Agriculture, Guangxi University, Nanning 530004, China
    These authors contributed equally to this work.)

  • Qi Nie

    (College of Agriculture, Guangxi University, Nanning 530004, China)

  • Yingying Jiang

    (College of Agriculture, Guangxi University, Nanning 530004, China)

  • Feng Luo

    (College of Agriculture, Guangxi University, Nanning 530004, China)

  • Jie Wei

    (College of Agriculture, Guangxi University, Nanning 530004, China)

  • Yong Cui

    (College of Smart Human Settlements Industry, Guangxi Arts University, Nanning 530007, China
    These authors contributed equally to this work.)

Abstract

It is very important to enhance the risk resistance of the agricultural sector to realize the modernization transformation of the agricultural industry and strengthen the competitiveness of national agriculture. Based on the relevant spatial data of 30 provincial administrative regions in China from 2013 to 2022, this study constructs a multi-dimensional index framework to comprehensively evaluate the resilience of China’s agricultural economy by comprehensively considering the three key aspects of adaptability, management strategy, and innovation drive. This study adopts several quantitative analysis tools including the Theil index, global and local analysis of the Moran I index, and kernel density estimation (KDE), and further combines with the spatial Durbin model (SDM) to conduct an in-depth spatiotemporal analysis of the resilience of China’s agricultural economy. This study not only reveals the evolution trend of agricultural economic resilience in different times and spaces but also analyzes the differences in resilience among regions and its spread in space. Through these refined analytical tools, we aim to reveal how agricultural economic resilience changes over time, the differences in resilience levels among regions, and the geospatial interactions and diffusion. This study reveals a series of key findings: (1) The resilience of China’s agricultural economy shows a trend of steady improvement. (2) Differences within the three regions are the main factors generating differences in the development of resilience in China’s agricultural economy. (3) The resilience of the agricultural economy in different regions shows obvious spatial correlations. (4) Further analysis shows that the efficiency of agricultural production and the urbanization process have a positive direct impact on the resilience of the agricultural economy, and this impact has a significant positive spatial diffusion effect. Meanwhile, although the level of agricultural mechanization is not significant in its direct impact, it has a positive spatial impact on the enhancement of agricultural economic resilience in other regions. In addition, the restructuring of agricultural cropping has both direct negative impacts and positive spatial spillover effects on the resilience of the agricultural economy. Based on these findings, this paper suggests that agricultural policies should consider regional development differences, implement differentiated agricultural support policies, fully account for the spatial spillover effects of agricultural ecological efficiency, and strengthen the exchange and cooperation of resources between regions. This study deepens the understanding of the spatial and temporal characteristics of the resilience of China’s agricultural economy, reveals its inherent dynamic processes and spatial interactions, and provides valuable references for policymakers and practitioners to better cope with the various challenges encountered in agricultural production, and to jointly promote the sound development of China’s agricultural economy.

Suggested Citation

  • Liang Luo & Qi Nie & Yingying Jiang & Feng Luo & Jie Wei & Yong Cui, 2024. "Spatiotemporal Dynamics and Spatial Spillover Effects of Resilience in China’s Agricultural Economy," Agriculture, MDPI, vol. 14(9), pages 1-24, September.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:9:p:1522-:d:1471242
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/9/1522/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/14/9/1522/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stavros Kalogiannidis & Christina-Ioanna Papadopoulou & Efstratios Loizou & Fotios Chatzitheodoridis, 2023. "Risk, Vulnerability, and Resilience in Agriculture and Their Impact on Sustainable Rural Economy Development: A Case Study of Greece," Agriculture, MDPI, vol. 13(6), pages 1-20, June.
    2. Krishna Malakar & Trupti Mishra & Anand Patwardhan, 2018. "Inequality in water supply in India: an assessment using the Gini and Theil indices," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(2), pages 841-864, April.
    3. Ron Martin & Ben Gardiner, 2019. "The resilience of cities to economic shocks: A tale of four recessions (and the challenge of Brexit)," Papers in Regional Science, Wiley Blackwell, vol. 98(4), pages 1801-1832, August.
    4. Robert Berry & Mauro Vigani & Julie Urquhart, 2022. "Economic resilience of agriculture in England and Wales: a spatial analysis," Journal of Maps, Taylor & Francis Journals, vol. 18(1), pages 70-78, January.
    5. Cao, Kang Hua & Birchenall, Javier A., 2013. "Agricultural productivity, structural change, and economic growth in post-reform China," Journal of Development Economics, Elsevier, vol. 104(C), pages 165-180.
    6. Dardonville, Manon & Urruty, Nicolas & Bockstaller, Christian & Therond, Olivier, 2020. "Influence of diversity and intensification level on vulnerability, resilience and robustness of agricultural systems," Agricultural Systems, Elsevier, vol. 184(C).
    7. Ron Martin & Peter Sunley & Ben Gardiner & Peter Tyler, 2016. "How Regions React to Recessions: Resilience and the Role of Economic Structure," Regional Studies, Taylor & Francis Journals, vol. 50(4), pages 561-585, April.
    8. Erika Quendler & Mangirdas Morkūnas, 2020. "The Economic Resilience of the Austrian Agriculture since the EU Accession," JRFM, MDPI, vol. 13(10), pages 1-20, October.
    9. Hui Zhang & Jing Li & Tianshu Quan, 2023. "Strengthening or Weakening: The Impact of an Aging Rural Workforce on Agricultural Economic Resilience in China," Agriculture, MDPI, vol. 13(7), pages 1-16, July.
    10. A. Amarender Reddy & Anindita Bhattacharya & S. Venku Reddy & Sandra Ricart, 2021. "Farmers’ Distress Index: An Approach for an Action Plan to Reduce Vulnerability in the Drylands of India," Land, MDPI, vol. 10(11), pages 1-24, November.
    11. Xin Zhang & Feng Xu, 2023. "Environmental Regulation and Spatial Spillover Effect of Green Technology Innovation: An Empirical Study on the Spatial Durbin Model," Sustainability, MDPI, vol. 15(19), pages 1-19, September.
    12. Naoto Jinji & Xingyuan Zhang & Shoji Haruna, 2015. "Trade patterns and international technology spillovers: evidence from patent citations," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 151(4), pages 635-658, November.
    Full references (including those not matched with items on IDEAS)

    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. Vinko Muštra & Blanka Šimundić & Zvonimir Kuliš, 2020. "Does innovation matter for regional labour resilience? The case of EU regions," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(5), pages 955-970, October.
    2. Vassilis Monastiriotis & Ian R Gordon & Ioannis Laliotis, 2021. "Uneven geographies of economic recovery and the stickiness of individual displacement," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 14(1), pages 157-178.
    3. Guandong Song & Chengli Tang & Sheng Zhong & Liuguang Song, 2024. "Multiscale study on differences in regional economic resilience in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 29021-29055, November.
    4. Yun-Hsuan Lee & Li-Ling Kao & Wen-Hsiang Liu & Jen-Te Pai, 2023. "A Study on the Economic Resilience of Industrial Parks," Sustainability, MDPI, vol. 15(3), pages 1-15, January.
    5. Weilong Wang & Jianlong Wang & Shaersaikai Wulaer & Bing Chen & Xiaodong Yang, 2021. "The Effect of Innovative Entrepreneurial Vitality on Economic Resilience Based on a Spatial Perspective: Economic Policy Uncertainty as a Moderating Variable," Sustainability, MDPI, vol. 13(19), pages 1-23, September.
    6. Chang-Tai Lee & Jin-Li Hu & Ming-Hsin Kung, 2022. "Economic Resilience in the Early Stage of the COVID-19 Pandemic: An Across-Economy Comparison," Sustainability, MDPI, vol. 14(8), pages 1-25, April.
    7. Jie Zhou & Haipeng Chen & Qingyun Bai & Linxin Liu & Guohong Li & Qianling Shen, 2023. "Can the Integration of Rural Industries Help Strengthen China’s Agricultural Economic Resilience?," Agriculture, MDPI, vol. 13(9), pages 1-19, September.
    8. Guandong Song & Sheng Zhong & Liuguang Song, 2022. "Spatial Pattern Evolution Characteristics and Influencing Factors in County Economic Resilience in China," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
    9. Sensier, Marianne & Devine, Fiona, 2020. "Understanding Regional Economic Performance And Resilience In The Uk: Trends Since The Global Financial Crisis," National Institute Economic Review, National Institute of Economic and Social Research, vol. 253, pages 18-28, August.
    10. Yuxin Li & Pingyu Zhang & Kevin Lo & Juntao Tan & Qifeng Yang, 2022. "Borderland Economic Resilience under COVID-19: Evidence from China–Russia Border Regions," IJERPH, MDPI, vol. 19(20), pages 1-22, October.
    11. Liangang Li & Pingyu Zhang & Chengxin Wang, 2022. "What Affects the Economic Resilience of China’s Yellow River Basin Amid Economic Crisis—From the Perspective of Spatial Heterogeneity," IJERPH, MDPI, vol. 19(15), pages 1-20, July.
    12. Ferran Navinés & José Pérez-Montiel & Carles Manera & Javier Franconetti, 2023. "Ranking the Spanish regions according to their resilience capacity during 1965–2011," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 71(2), pages 415-435, October.
    13. Ziyan Zheng & Yingming Zhu & Yu Pei & Litao Wang, 2023. "Spatial–temporal heterogeneity and influencing factors of the coupling between industrial agglomeration and regional economic resilience in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(11), pages 12735-12759, November.
    14. Yu Tang & Yongyong Song & Dongqian Xue & Beibei Ma & Hao Ye, 2024. "Urban Shrinkage from the Perspective of Economic Resilience and Population Change: A Case Study of the Shanxi-Shaanxi-Inner Mongolia Region," Land, MDPI, vol. 13(4), pages 1-19, March.
    15. Peter Mayerhofer & Susanne Bärenthaler-Sieber & Michael Böheim, 2020. "Oberösterreichs Industrie in der COVID-19-Krise. Eine Zwischenbilanz," WIFO Studies, WIFO, number 66810.
    16. Artiom Volkov & Agnė Žičkienė & Mangirdas Morkunas & Tomas Baležentis & Erika Ribašauskienė & Dalia Streimikiene, 2021. "A Multi-Criteria Approach for Assessing the Economic Resilience of Agriculture: The Case of Lithuania," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    17. Agnė Žičkienė & Rasa Melnikienė & Mangirdas Morkūnas & Artiom Volkov, 2022. "CAP Direct Payments and Economic Resilience of Agriculture: Impact Assessment," Sustainability, MDPI, vol. 14(17), pages 1-24, August.
    18. Marianne Sensier & Fiona Devine, 2020. "Levelling up Regional Resilience Following the Coronavirus Pandemic," Economics Discussion Paper Series 2008, Economics, The University of Manchester.
    19. Salvatore Costantino & Maria Francesca Cracolici & J. Paul Elhorst, 2023. "A spatial origin‐destination approach for the analysis of local tourism demand in Italy," Papers in Regional Science, Wiley Blackwell, vol. 102(2), pages 393-419, April.
    20. Tao Zhao & Jinwei Huo & Degang Yang & Xinhuan Zhang & Danni Lu & Mingjie Cui & Rongqian Lu & Yaning Chen, 2022. "Study on the Spatial Differentiation Characteristics and Influencing Factors of China’s Economic Resilience under Different Shocks," Sustainability, MDPI, vol. 14(24), pages 1-15, December.

    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:jagris:v:14:y:2024:i:9:p:1522-:d:1471242. 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.