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An Empirical Study on Spatial–Temporal Dynamics and Influencing Factors of Tea Production in China

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  • Hanchu Liu

    (Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing 100101, China
    Institute of Geography Science and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 10049, China)

  • Jie Fan

    (Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing 100101, China
    Institute of Geography Science and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 10049, China)

  • Kan Zhou

    (Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing 100101, China
    Institute of Geography Science and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

Revealing the characteristics of spatial–temporal dynamics and influencing factors is important for optimizing the spatial distribution of tea production. Taking prefecture-level cities as the basic spatial unit, this study uses the Herfindahl index and exploratory spatial data analysis to reveal the spatial–temporal dynamics of China’s tea production from 2000 to 2015. A theoretical analysis framework is established and a spatial econometric model is used to explore its influencing factors. The results show a U-shaped trend in the degree of tea spatial agglomeration, which gradually declined during 2000–2010, and rapidly increased during 2011–2015. The proportion of tea production shifted from the eastern region to the central and western regions, and spatial distribution coverage expanded to the north. Tea production had significant spatial correlation, and spatial agglomeration characteristics were exhibited for similar values (high or low). Tea production had a significant spatial spillover effect. Natural resources, labor cost, specialized production, and policies all affected the spatial–temporal dynamics of tea production somewhat, but the effects of traffic conditions and technological level were insignificant. Finally, this study proposed optimizing four aspects of the tea spatial layout: regional cooperation, comprehensive suitability evaluation of tea cultivation, spatial agglomeration, and distinctive local brands.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:9:p:3037-:d:165978
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    References listed on IDEAS

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    Cited by:

    1. Jing Huang & Dongqian Xue, 2019. "Study on Temporal and Spatial Variation Characteristics and Influencing Factors of Land Use Efficiency in Xi’an, China," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
    2. Terrance Quinn, 2023. "An Emergent Transdisciplinary Methodology for Effective Collaboration in Ecological Economics," Sustainability, MDPI, vol. 15(9), pages 1-22, May.
    3. 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.

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