IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v15y2025i6p634-d1614101.html
   My bibliography  Save this article

Production Agglomeration and Spatiotemporal Evolution of China’s Fruit Industry over the Last 40 Years

Author

Listed:
  • Lu Qiu

    (College of Economics and Management, Northwest A&F University, Yangling 712100, China)

  • Qibin Ouyang

    (College of Economics and Management, Northwest A&F University, Yangling 712100, China)

  • Jane Eastham

    (Harper Adams Business School, Harper Adams University, Shropshire TF10 8NB, UK)

  • Jiayao Wang

    (College of Economics and Management, Northwest A&F University, Yangling 712100, China)

  • Lin Wu

    (Business School, University of Nottingham, Nottingham NG8 1BB, UK)

Abstract

This study analyzes the dynamics of China’s fruit industry using a range of analytical tools, including the location Gini coefficient, industry concentration ratio, spatial autocorrelation index, specialization index, and the industry gravity model. It explores the industry’s evolving characteristics and trends since the economic reforms, culminating in a trajectory map that highlights shifts in the industry’s gravitational center. This study also offers a qualitative analysis of the factors influencing the agglomeration and relocation of fruit production centers. The findings show a steady increase in both total output and yields per unit area within China’s fruit industry over time. Although the overall degree of agglomeration has decreased, regional agglomeration effects remain significant. Furthermore, the data reveal significant spatial autocorrelation in fruit production, indicating a long-term westward shift in core production areas. Different geographic areas exhibit varying levels of gradational shifts, with marked differences in production concentration patterns across different fruit types. This study provides a comprehensive framework for understanding production agglomeration, integrating interdisciplinary methods from statistics and geography.

Suggested Citation

  • Lu Qiu & Qibin Ouyang & Jane Eastham & Jiayao Wang & Lin Wu, 2025. "Production Agglomeration and Spatiotemporal Evolution of China’s Fruit Industry over the Last 40 Years," Agriculture, MDPI, vol. 15(6), pages 1-22, March.
  • Handle: RePEc:gam:jagris:v:15:y:2025:i:6:p:634-:d:1614101
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/15/6/634/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/15/6/634/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liu, Zhengjia & Wang, Jieyong & Wang, Xiaoyue & Wang, Yongsheng, 2020. "Understanding the impacts of ‘Grain for Green’ land management practice on land greening dynamics over the Loess Plateau of China," Land Use Policy, Elsevier, vol. 99(C).
    2. Agnieszka Kurdyś-Kujawska & Agnieszka Strzelecka & Danuta Zawadzka, 2021. "The Impact of Crop Diversification on the Economic Efficiency of Small Farms in Poland," Agriculture, MDPI, vol. 11(3), pages 1-21, March.
    3. Gilles Duranton & Henry G. Overman, 2005. "Testing for Localization Using Micro-Geographic Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(4), pages 1077-1106.
    4. Giovanni Maria Giorgi & Chiara Gigliarano, 2017. "The Gini Concentration Index: A Review Of The Inference Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 31(4), pages 1130-1148, September.
    5. Billings, Stephen B. & Johnson, Erik B., 2016. "Agglomeration within an urban area," Journal of Urban Economics, Elsevier, vol. 91(C), pages 13-25.
    6. Xiaozhi Xiang & Li Peng & Yaxian Zhang, 2023. "Towards more sustainable diets: Insights from food production responses to diet transitions in China," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1951-1964, June.
    7. Qiangqiang Zhang & Fanji Shi & Nazir Muhammad Abdullahi & Liqun Shao & Xuexi Huo, 2020. "An empirical study on spatial–temporal dynamics and influencing factors of apple production in China," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-20, October.
    8. Wang, Jieyong & Zhang, Ziwen & Liu, Yansui, 2018. "Spatial shifts in grain production increases in China and implications for food security," Land Use Policy, Elsevier, vol. 74(C), pages 204-213.
    9. Lee, Chien-Chiang & Yan, Jingyang & Wang, Fuhao, 2024. "Impact of population aging on food security in the context of artificial intelligence: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    10. Han, Feng & Xie, Rui & Fang, Jiayu, 2018. "Urban agglomeration economies and industrial energy efficiency," Energy, Elsevier, vol. 162(C), pages 45-59.
    11. Matti Langel & Yves Tillé, 2013. "Variance estimation of the Gini index: revisiting a result several times published," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(2), pages 521-540, February.
    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. Carlino, Gerald & Kerr, William R., 2015. "Agglomeration and Innovation," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 349-404, Elsevier.
    2. Ziqing Dong & Yves Tillé & Giovanni M. Giorgi & Alessio Guandalini, 2021. "Linearization and variance estimation of the Bonferroni inequality index," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 1008-1029, July.
    3. Silvia De Nicol`o & Maria Rosaria Ferrante & Silvia Pacei, 2021. "Mind the Income Gap: Bias Correction of Inequality Estimators in Small-Sized Samples," Papers 2107.08950, arXiv.org, revised May 2023.
    4. Bartelme, Dominick & Ziv, Oren, 2023. "JUE Insight: Firms and industry agglomeration," Journal of Urban Economics, Elsevier, vol. 133(C).
    5. Edilberto Tiago Almeida & Raul Mota Silveira Neto & Jaime Macedo Brito Bastos & Rubens Lopes Pereira Silva, 2021. "Location patterns of service activities in large metropolitan areas: the Case of São Paulo," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(2), pages 451-481, October.
    6. Pier Luigi Conti & Alberto Iorio & Alessio Guandalini & Daniela Marella & Paola Vicard & Vincenzina Vitale, 2020. "On the estimation of the Lorenz curve under complex sampling designs," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(1), pages 1-24, March.
    7. John Rand & Finn Tarp & Neda Trifković & Helge Zille, 2019. "Industrial agglomeration in Myanmar," WIDER Working Paper Series wp-2019-3, World Institute for Development Economic Research (UNU-WIDER).
    8. Ashish Arora & Michelle Gittelman & Sarah Kaplan & John Lynch & Will Mitchell & Nicolaj Siggelkow & Juan Alcácer & Minyuan Zhao, 2016. "Zooming in: A practical manual for identifying geographic clusters," Strategic Management Journal, Wiley Blackwell, vol. 37(1), pages 10-21, January.
    9. Alessio Guandalini, 2022. "Things you should know about the Gini index," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 76(4), pages 4-12, October-D.
    10. Ziqing Dong & Yves Tille & Giovanni Maria Giorgi & Alessio Guandalini, 2024. "Generalised Income Inequality Index," International Statistical Review, International Statistical Institute, vol. 92(1), pages 87-105, April.
    11. Kentaro Nakajima & Kensuke Teshima, 2018. "Identifying Neighborhood Effects among Firms: Evidence from Location Lotteries of the Tokyo Tsukiji Fish Market," 2018 Meeting Papers 575, Society for Economic Dynamics.
    12. Ilaria Benedetti & Federico Crescenzi & Tiziana Laureti, 2020. "Measuring Uncertainty for Poverty Indicators at Regional Level: The Case of Mediterranean Countries," Sustainability, MDPI, vol. 12(19), pages 1-19, October.
    13. Carlino, Gerald & Kerr, William R., 2015. "Agglomeration and Innovation," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 349-404, Elsevier.
    14. Orea, Luis & Álvarez, Inmaculada C., 2019. "Spatial Production Economics," Efficiency Series Papers 2019/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    15. repec:zbw:bofrdp:2015_027 is not listed on IDEAS
    16. Berger Yves G. & Balay İklim Gedik, 2020. "Confidence Intervals of Gini Coefficient Under Unequal Probability Sampling," Journal of Official Statistics, Sciendo, vol. 36(2), pages 237-249, June.
    17. Brad Humphreys & Josh Matti, 2018. "The Spatial Distribution of Urban Consumer Service Firms: Evidence from Yelp Reviews," Working Papers 18-03, Department of Economics, West Virginia University.
    18. Encarnación Álvarez-Verdejo & Pablo J. Moya-Fernández & Juan F. Muñoz-Rosas, 2021. "Single Imputation Methods and Confidence Intervals for the Gini Index," Mathematics, MDPI, vol. 9(24), pages 1-20, December.
    19. Peng Wang & Xiaoyan Lin & Dajun Dai, 2017. "Spatiotemporal Agglomeration of Real-Estate Industry in Guangzhou, China," Sustainability, MDPI, vol. 9(8), pages 1-15, August.
    20. Seiffert, Sebastian, 2015. "The Role of Economic Geography in Subnational African Development," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113186, Verein für Socialpolitik / German Economic Association.
    21. Sandy Fréret & Denis Maguain, 2017. "The effects of agglomeration on tax competition: evidence from a two-regime spatial panel model on French data," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(6), pages 1100-1140, 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:15:y:2025:i:6:p:634-:d:1614101. 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.