Skip to main content
Log in

The evolution of tea spatial agglomeration in China: An analysis based on different geographical scales

  • Published:
Journal of Mountain Science Aims and scope Submit manuscript

Abstract

The spatial agglomeration of agricultural production is conducive to reducing planting costs, increasing production efficiency and improving product quality. It is an important way to promote the transformation and upgrad of tea industry and realize the modernization of China’s tea industry. This study used Gini coefficient and spatial autocorrelation analysis to explore the characteristics of tea spatial agglomeration in China from three geographical scales: regional level, provincial level and prefecture level from the year 2005 to 2015. The results indicated that there was a significant scale effect on the tea spatial agglomeration. The agglomeration degree increased from the regional level, provincial level to prefecture level. The types of spatial agglomeration evolution of the three scales were Ushaped, continuous diffusion, and continuous agglomeration. The spatial autocorrelation of tea production could only be found at the prefecture level. Meanwhile, at the prefecture scale, we could not only reveal the pattern changes at the regional and provincial levels, but also identify tea production agglomeration regions. Compared with the large scale, the small scale could reveal the characteristics of tea spatial agglomeration in more details. Factors such as natural resource endowments, cost factor, technological advancement, agglomeration economy, and agricultural policy influenced the evolution of tea spatial agglomeration from different geographical scales. Finally, from the perspectives of spatial transfer of tea production, promoting spatial agglomeration, building tea production bases, and breaking administrative boundaries, we proposed several policy suggestions for optimizing the spatial layout of tea production.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Anselin L (1995) Local indicators of spatial association-LISA. Geographical Analysis 27(2): 93–115. https://doi.org/10.1111/j.1538-4632.1995.tb00338.x

    Article  Google Scholar 

  • Chen ZF, Zhang WL, Yan XY, et al. (2017) Analysis of industrial competitiveness and spatial optimization of county tea industry in Fujian province. Economic Geography 37(12): 145–152. (In Chinese)

    Google Scholar 

  • Drucker J (2011) Regional industrial structure concentration in the United States: Trends and implications. Economic Geography 87(4): 421–452. https://doi/abs/10.1111/j.1944-8287.2011.01129

    Article  Google Scholar 

  • Gini C (1921) Measurement of inequality of incomes. The Economic Journal 31(121): 124–126. http://www.jstor.org/stable/2223319

    Article  Google Scholar 

  • Hu B, Ji ZF, Li Y, et al. (2018) Comprehensive suitability evaluation of tea plantation in Jiangnan tea region. Meteorological Science and Technology 46(2): 390–395. (In Chinese)

    Google Scholar 

  • Hyeon C, Byung-Joon W (2006) Agro-industry cluster development in five transition economies. Journal of Rural Development 29(6): 85–119. http://uci.or.kr/G704-000576.2007.30.1.004

    Google Scholar 

  • Ji L, You LZ, See, L, et al. (2018) Spatial and temporal changes of vegetable production in China. Journal of Land Use Science 13(5): 1–14. https://doi.org/10.1080/1747423X.2018.1459908

    Article  Google Scholar 

  • Jiang MS (2010) The main problems in the development of tea industry in China. Agricultural Archaeology 30(5): 270–274. (In Chinese)

    Google Scholar 

  • Krugman P (2011) The new economic geography, now middle-aged. Regional Studies 45(1): 1–7. https://doi.org/10.1080/00343404.2011.537127

    Article  Google Scholar 

  • Li E L, Pang AC, Zhu JG (2012) Analysis of the evolution path and mechanism of China's agricultural agglomeration and geographic pattern. Geographical Research 31(5): 885–898. (In Chinese)

    Google Scholar 

  • Li EL, Coates K, Li XJ, et al. (2017) Analyzing Agricultural Agglomeration in China. Sustainability 9(2): 313–332. https://doi.org/10.3390/su9020313

    Article  Google Scholar 

  • Li JL, Rui D, Li TS, et al. (2017) Spatial-temporal characteristics and influencing factors of geographical agglomeration of fisheries in China. Geography and Geo-Information Science 33(2): 100–107. (In Chinese)

    Google Scholar 

  • Li SR, Wang ZH, Yang ZQ, et al. (2014) Analysis on production status of tea plant and climate characteristics in tea regions in southern Yangtze River. Journal of Arid Meteorology 32(6): 1007–1014. (In Chinese)

    Google Scholar 

  • Li Z, Long Y, Tang P, et al. (2017) Spatio-temporal changes in rice area at the northern limits of the rice cropping system in China from 1984 to 2013. Journal of Integrative Agriculture 16(2): 360–367. https://doi.org/10.1016/S2095-3119(16)61365-5

    Article  Google Scholar 

  • Liu HC, Fan J, Zhou K (2018) An Empirical study on spatial–temporal dynamics and influencing factors of tea production in China. Sustainability 10(9), 3037. https://doi.org/10.3390/su10093037

    Article  Google Scholar 

  • Liu J, Fu B, Wang, YK, et al. (2017) Agricultural opportunity costs assessment based on planting suitability: a case study in a mountain county in southwest China. Journal of Mountain Science 14(12): 2568–2580. https://doi.org/10.1007/s11629-016-4329-0

    Article  Google Scholar 

  • Lu S (2018) Effects of tea planting on ecological environment protection. Fujian Tea 40(7):15. (In Chinese)

    Google Scholar 

  • MacKinnon D, Cumbers A, Pike A, et al. (2009) Evolution in economic geography: institutions, political economy, and adaptation. Economic geography 85(2): 129–150. https://doi.org/10.1111/j.1944-8287.2009.01017.x

    Article  Google Scholar 

  • Marcos A, Fisher A, Rea G, et al. (1998) Preliminary study using trace element concentrations and a chemometrics approach to determine the geographical origin of tea. Journal of Analytical Atomic Spectrometry 13(6): 521–525. https://doi.10.1039/A708658J

    Article  Google Scholar 

  • Moran PAP (1948) The interpretation of statistical maps. Journal of the Royal Statistical Society 10(2): 243–251. https://www.jstor.org/stable/2983777

    Google Scholar 

  • Morinaga K, Sumikawa O, Kawamoto O, et al. (2005) New technologies and systems for high quality citrus fruit production, labor-saving and orchard construction in mountain areas of Japan. Journal of Mountain Science 2(1): 59–67. https://doi.org/10.1007/s11629-005-0059-4

    Article  Google Scholar 

  • Ping JL, Green CJ, Zartman RE (2004) Exploring spatial dependence of cotton yield using global and local autocorrelation statistics. Field Crops Research 89(2): 219–236. https://doi.org/10.1016/j.fcr.2004.02.009

    Article  Google Scholar 

  • Sæther B (2014) Socio-economic unity in the evolution of an agricultural cluster. European planning studies 22(12): 2605–2619. https://doi.org/10.1080/09654313.2013.849228

    Article  Google Scholar 

  • Song YP, Wang YR (2008) The demonstration research on congregation degree of tea industry, Journal of Tea Science 28(5): 379–385. (In Chinese)

    Google Scholar 

  • Viles HA (2001) Scale issues in weathering studies. Geomorphology 41(1): 63–72. https://doi.org/10.1016/S0169-555X(01)00104-0

    Article  Google Scholar 

  • Wang GG, Wang ML, Yang C (2014) Characteristics and mechanism of animal husbandry’s geographical agglomeration in China. Journal of Natural Resources 29(12): 2137–2146. (In Chinese)

    Google Scholar 

  • Wang L, Liu JM, Wang LE, et al. (2018) Tourism resource assessment and spatial analysis of wine tourism development: a case study of the eastern foothills of China’s Helan Mountains. Journal of Mountain Science 15(3): 645–656. https://doi.org/10.1007/s11629-016-4350-3

    Article  Google Scholar 

  • Wang WX, Xiang Y, Qi CJ (2013) Study on geographic agglomeration of fruit industry in china: spatial-temporal characteristics and affecting factors. Economic Geography 33(8): 97–103. (In Chinese)

    Google Scholar 

  • Wang YF, Mou HG (1993) A new plan for the ecological division of Chinese tea trees. Geographical Research 12(4): 39–45. (In Chinese)

    Google Scholar 

  • Xiao WD (2012) Analysis on the spatial-temporal features and developing trend and effects of agricultural geographic agglomeration in China. Chinese Rural Economy 28(5): 19–31. (In Chinese)

    Google Scholar 

  • Xiao Z, Huang XJ (2017) Spatial characteristics of tea production in the Yangtze River economic zone. Economic Geography 37(5): 110–115. (In Chinese)

    Google Scholar 

  • Xiao Z, Huang XJ, Zang Z, et al. (2018) Spatio-temporal variation and the driving forces of tea production in China over the last 30 years. Journal of Geographical Sciences 28(3): 275–290. https://doi.org/10.1007/s11442-018-1472-2

    Article  Google Scholar 

  • Xu SW, Wu JZ, Song W, et al. (2013) Spatial-temporal changes in grain production, consumption and driving mechanism in China. Journal of Integrative Agriculture 12(2): 374–385. https://doi.org/10.1016/S2095-3119(13)60236-1

    Article  Google Scholar 

  • Xu YM, Su ZC (2007) Spatial distribution pattern of Chinese tea industry and analysis of its evolutionary causes. Research on Agricultural Modernization 28(3): 364–366. (In Chinese)

    Google Scholar 

  • Yamamoto D (2008) Scales of regional income disparities in the USA, 1955–2003. Journal of Economic Geography 8(1): 79–103. https://doi.org/10.1093/jeg/lbm044

    Article  Google Scholar 

Download references

Acknowledgements

The research reported in this manuscript is funded by the Key Program of the National Natural Science Foundation of China (41630644). The authors extend great gratitude to the anonymous reviewers and editors for their helpful review and critical comments.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jie Fan.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, Hc., Fan, J., Zeng, Yx. et al. The evolution of tea spatial agglomeration in China: An analysis based on different geographical scales. J. Mt. Sci. 15, 2590–2602 (2018). https://doi.org/10.1007/s11629-018-5066-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11629-018-5066-3

Keywords

Navigation