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

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...

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Main Authors: Hanchu Liu, Jie Fan, Kan Zhou
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Sustainability
Subjects:
Online Access:http://www.mdpi.com/2071-1050/10/9/3037
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spelling doaj-1986e81c7c20412fb59842eb8869fe292020-11-24T21:47:44ZengMDPI AGSustainability2071-10502018-08-01109303710.3390/su10093037su10093037An Empirical Study on Spatial–Temporal Dynamics and Influencing Factors of Tea Production in ChinaHanchu Liu0Jie Fan1Kan Zhou2Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing 100101, ChinaRevealing 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.http://www.mdpi.com/2071-1050/10/9/3037tea productionspatial-temporal dynamicsspatial layoutinfluencing factorChina
collection DOAJ
language English
format Article
sources DOAJ
author Hanchu Liu
Jie Fan
Kan Zhou
spellingShingle Hanchu Liu
Jie Fan
Kan Zhou
An Empirical Study on Spatial–Temporal Dynamics and Influencing Factors of Tea Production in China
Sustainability
tea production
spatial-temporal dynamics
spatial layout
influencing factor
China
author_facet Hanchu Liu
Jie Fan
Kan Zhou
author_sort Hanchu Liu
title An Empirical Study on Spatial–Temporal Dynamics and Influencing Factors of Tea Production in China
title_short An Empirical Study on Spatial–Temporal Dynamics and Influencing Factors of Tea Production in China
title_full An Empirical Study on Spatial–Temporal Dynamics and Influencing Factors of Tea Production in China
title_fullStr An Empirical Study on Spatial–Temporal Dynamics and Influencing Factors of Tea Production in China
title_full_unstemmed An Empirical Study on Spatial–Temporal Dynamics and Influencing Factors of Tea Production in China
title_sort empirical study on spatial–temporal dynamics and influencing factors of tea production in china
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2018-08-01
description 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.
topic tea production
spatial-temporal dynamics
spatial layout
influencing factor
China
url http://www.mdpi.com/2071-1050/10/9/3037
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