IDEAS home Printed from https://ideas.repec.org/a/caa/jnlage/v66y2020i12id85-2020-agricecon.html
   My bibliography  Save this article

A spatiotemporal analysis of comparative advantage in tea production in China

Author

Listed:
  • Yihui Chen

    (Anxi College of Tea Science, Fujian Agriculture and Forestry University, Fuzhou, China
    School of Economics and Management, Fuzhou University, Fuzhou, China
    Department of Economics, Swedish University of Agricultural Sciences, Uppsala, Sweden)

  • Minjie Li

    (School of Economics and Management, Fuzhou University, Fuzhou, China)

  • Assem Abu Hatab

    (Department of Economics, Swedish University of Agricultural Sciences, Uppsala, Sweden
    Department of Economics and Rural Development, Arish University, Al-Arish, Egypt)

Abstract

Tea is one of the most important cash crops and widely consumed beverages worldwide and plays a significant role in rural development, poverty reduction, and food security in many developing countries. Nevertheless, very few empirical studies have analysed the comparative advantage of the tea industry in developing countries. Taking Fujian Province, China, as the object of a case study, we carried out a spatiotemporal analysis of the determinants of the tea industry's revealed comparative advantage (RCA) during the period 2010-2018. The empirical analysis relied on a calculation of RCA and an estimation of a geographically and temporally weighted regression (GTWR) using data from 67 counties in Fujian. The results confirmed that the effect and significance of RCA determinants vary considerably across different spatial areas and over time. With the exception of 'disposable income', all other determinants had a positive and statistically significant effect on a region's RCA in the tea industry. Specifically, the results indicated that regional specialisation had the strongest positive effect on tea competitiveness. Local governments' sectoral strategies and institutional policies were essential elements in building and maintaining regional tea competitiveness. Infrastructure development, which traditionally went hand-in-hand with urbanisation processes, had a significant impact on tea competitiveness. These findings imply that competitiveness of the tea sector can be improved by adopting local polices that support producers and processors through fiscal investment, technology provision, and capacity building as well as measures to improve rural road infrastructure and link small farmers to other actors along tea supply chains.

Suggested Citation

  • Yihui Chen & Minjie Li & Assem Abu Hatab, 2020. "A spatiotemporal analysis of comparative advantage in tea production in China," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(12), pages 550-561.
  • Handle: RePEc:caa:jnlage:v:66:y:2020:i:12:id:85-2020-agricecon
    DOI: 10.17221/85/2020-AGRICECON
    as

    Download full text from publisher

    File URL: http://agricecon.agriculturejournals.cz/doi/10.17221/85/2020-AGRICECON.html
    Download Restriction: free of charge

    File URL: http://agricecon.agriculturejournals.cz/doi/10.17221/85/2020-AGRICECON.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.17221/85/2020-AGRICECON?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Rongrong Zheng & Jiasui Zhan & Luxing Liu & Yanli Ma & Zishuai Wang & Lianhui Xie & Dunchun He, 2019. "Factors and Minimal Subsidy Associated with Tea Farmers’ Willingness to Adopt Ecological Pest Management," Sustainability, MDPI, vol. 11(22), pages 1-12, November.
    2. J. Vernon Henderson, 2010. "Cities And Development," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 515-540, February.
    3. Hanchu Liu & Jie Fan & Kan Zhou, 2018. "An Empirical Study on Spatial–Temporal Dynamics and Influencing Factors of Tea Production in China," Sustainability, MDPI, vol. 10(9), pages 1-15, August.
    4. Pasquale Commendatore & Ingrid Kubin, 2016. "Source versus residence: A comparison from a new economic geography perspective," Papers in Regional Science, Wiley Blackwell, vol. 95(2), pages 201-222, June.
    5. Liu, Zhen & Li, Qiuming & Lan, Jing & Abu Hatab, Assem, 2020. "Does participation in the sloping land conversion program reduce the sensitivity of Chinese farmers to climate change?," Land Use Policy, Elsevier, vol. 99(C).
    6. Assem Abu Hatab & Eirik Romstad, 2014. "Competitiveness analysis of Egyptian cotton exports with special focus on the Chinese market," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 6(2), pages 248-263, April.
    7. Yihui Chen & Minjie Li, 2019. "Evaluation of influencing factors on tea production based on random forest regression and mean impact value," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(7), pages 340-347.
    8. Run Yu & Junning Cai & PingSun Leung, 2009. "The normalized revealed comparative advantage index," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(1), pages 267-282, March.
    9. Wei Han & Ying Zhang & Jianming Cai & Enpu Ma, 2019. "Does Urban Industrial Agglomeration Lead to the Improvement of Land Use Efficiency in China? An Empirical Study from a Spatial Perspective," Sustainability, MDPI, vol. 11(4), pages 1-22, February.
    10. Erling Li & Ken Coates & Xiaojian Li & Xinyue Ye & Mark Leipnik, 2017. "Analyzing Agricultural Agglomeration in China," Sustainability, MDPI, vol. 9(2), pages 1-19, February.
    11. Assem Abu Hatab & Eirik Romstad, 2014. "Competitiveness analysis of Egyptian cotton exports with special focus on the Chinese market," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 6(2), pages 248-263, April.
    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. Karina Acosta & Hengyu Gu, 2022. "Locked up? The development and internal migration nexus in Colombia," Documentos de Trabajo Sobre Economía Regional y Urbana 19931, Banco de la República, Economía Regional.
    2. Beňo, Michal, 2021. "E-working: Country Versus Culture Dimension," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 13(2), June.
    3. Dominika Choros-Mrozowska, 2020. "Changes and Comparisons in Pattern of Polish Chinese Trade within the “16+1” Format," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 327-342.
    4. Xiaoyan Mu & Anthony Gar-On Yeh & Xiaohu Zhang & Jiejing Wang & Jian Lin, 2022. "Moving down the urban hierarchy: Turning point of China’s internal migration caused by age structure and hukou system," Urban Studies, Urban Studies Journal Limited, vol. 59(7), pages 1389-1405, May.
    5. Ejaz Ghani & Arti Grover Goswami & William R. Kerr, 2016. "Highway to Success: The Impact of the Golden Quadrilateral Project for the Location and Performance of Indian Manufacturing," Economic Journal, Royal Economic Society, vol. 126(591), pages 317-357, March.
    6. Jan Fagerberg & Maryann Feldman & Martin Srholec, 2011. "Technological Dynamics and Social Capability: Comparing U.S. States and European Nations," Working Papers on Innovation Studies 20111114, Centre for Technology, Innovation and Culture, University of Oslo.
    7. Jedwab, Remi & Vollrath, Dietrich, 2015. "Urbanization without growth in historical perspective," Explorations in Economic History, Elsevier, vol. 58(C), pages 1-21.
    8. Alje van Dam & Andres Gomez‐Lievano & Frank Neffke & Koen Frenken, 2023. "An information‐theoretic approach to the analysis of location and colocation patterns," Journal of Regional Science, Wiley Blackwell, vol. 63(1), pages 173-213, January.
    9. Ran Yu & Yan Qin & Yuting Xu & Xiaowei Chuai, 2022. "Study on the Optimization of Territory Spatial “Urban–Agricultural–Ecological” Pattern Based on the Improvement of “Production–Living–Ecological” Function under Carbon Constraint," IJERPH, MDPI, vol. 19(10), pages 1-17, May.
    10. Fertö, I., 2018. "Global Agri-food Trade Competitiveness: Gross Versus Value Added Exports," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(4), December.
    11. Jiang, Yiqi & Jiang, Zhou & Chen, Zhijun, 2024. "Women entrepreneurship in China: A bibliometric literature review and future research agenda," Journal of Business Research, Elsevier, vol. 179(C).
    12. Sarker, Rakhal & Ratnesena, Shashini, 2014. "Revealed Comparative Advantage and Half-A-Century Competitiveness of Canadian Agriculture: A Case Study of Wheat, Beef and Pork Sectors," Working Papers 165675, Canadian Agricultural Trade Policy Research Network.
    13. Anping Chen & Mark D. Partridge, 2013. "When are Cities Engines of Growth in China? Spread and Backwash Effects across the Urban Hierarchy," Regional Studies, Taylor & Francis Journals, vol. 47(8), pages 1313-1331, September.
    14. Dongsuk Kang & Pil-sun Heo & Duk Hee Lee, 2022. "Global trade of South Korea in competitive products and their impact on regional dependence," PLOS ONE, Public Library of Science, vol. 17(5), pages 1-20, May.
    15. Jedwab, Remi & Christiaensen, Luc & Gindelsky, Marina, 2017. "Demography, urbanization and development: Rural push, urban pull and…urban push?," Journal of Urban Economics, Elsevier, vol. 98(C), pages 6-16.
    16. Beňuš Ondrej, 2019. "Competitiveness of the Czech Meat Industry on the Single Market," European Countryside, Sciendo, vol. 11(3), pages 443-461, September.
    17. repec:spo:wpmain:info:hdl:2441/6m5kss847r91no96hiublu6anu is not listed on IDEAS
    18. Terrance Quinn, 2023. "An Emergent Transdisciplinary Methodology for Effective Collaboration in Ecological Economics," Sustainability, MDPI, vol. 15(9), pages 1-22, May.
    19. Sabyasachi Tripathi, 2013. "Do Large Agglomerations Lead To Economic Growth? Evidence From Urban India," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 25(3), pages 176-200, November.
    20. Lee, Jim, 2011. "Export specialization and economic growth around the world," Economic Systems, Elsevier, vol. 35(1), pages 45-63, March.
    21. Frick, Susanne A. & Rodríguez-Pose, Andrés, 2018. "Change in urban concentration and economic growth," World Development, Elsevier, vol. 105(C), pages 156-170.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:caa:jnlage:v:66:y:2020:i:12:id:85-2020-agricecon. 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: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    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.