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Research Paper

Spatial Differentiation and Contribution Factors of Tea Benefit Improvement in Anhui Province

  • WU Haizhong ,
  • TIAN Xiaosi ,
  • CHEN Baoping
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  • College of Geography and Planning, Chizhou University, Chizhou 247100, China

Received date: 2020-04-20

  Revised date: 2020-06-03

  Online published: 2020-12-10

Abstract

Based on the LMDI decomposition method, with the data of tea output value, output and tea garden area in Anhui Province from 2010 to 2018, the spatial distribution pattern and contribution factors of tea benefit increase in Anhui Province were explored quantitatively. The results show that (1) the tea benefit of Anhui Province continued to increase. The increase of tea benefits and production in regions and counties had made outstanding contribution to the increase of total output value of tea in Anhui Province. (2) From the perspective of the county spatial pattern of tea benefit increment, Jianghuai tea area and Dabieshan tea area contributed 96.87% of the total increment of tea benefit. From the perspective of tea benefit increment, the growth rate of tea in the counties of Anhui Province was dominated by super-rapid growth. From the perspective of spatial differentiation of tea growth, the dominant position of tea production in Dabieshan tea area had been continuously strengthening. (3) During the research period, the increase of unit price of tea in Anhui Province accounted for 62.55% of the total increase in benefits. In terms of time sequence, the contribution of the increase of unit price to the increment of tea benefit first decreased and then increased. (4) Among the 47 yield increasing areas, the number of counties contributing to tea benefit by increasing unit price was more than that by expanding area and increasing unit yield. The top 15 counties contributed 83.72% to the increase of tea benefit in Anhui Province, all of which showed an increase in unit price.

Cite this article

WU Haizhong , TIAN Xiaosi , CHEN Baoping . Spatial Differentiation and Contribution Factors of Tea Benefit Improvement in Anhui Province[J]. Journal of Tea Science, 2020 , 40(6) : 845 -852 . DOI: 10.13305/j.cnki.jts.2020.06.011

References

[1] 陈富桥, 胡林英, 姜爱芹. 我国茶产业发展40年[J]. 中国茶叶, 2019, 41(10): 1-5.
Chen F Q, Hu L Y, Jiang A Q.40 years of tea industry development in China[J]. China Tea, 2019, 41(10): 1-5.
[2] 许咏梅, 芦炜杰, 吕威雄. 中国茶叶出口贸易对中国茶产业发展影响的实证分析[J]. 茶叶, 2019, 45(4): 185-192.
Xu Y M, Lu W J, Lv W X.An empirical analysis of the impact of China's tea export trade on the development of China's tea industry[J]. Tea, 2019, 45(4): 185-192.
[3] 刘仲华. 中国茶叶深加工产业发展历程与趋势[J]. 茶叶科学, 2019, 39(2): 115-122.
Liu Z H.Development course and trend of tea deep processing industry in China[J]. Journal of Tea Science, 2019, 39(2): 115-122.
[4] 李金贵, 吴诗晴, 陈俊贤. 我国茶叶安全生产面临的挑战及对策[J]. 粮食科技与经济, 2020, 45(1): 143-144.
Li J G, Wu S Q, Chen J X.Challenges and countermeasures of tea safety production in China[J]. Grain Science and Technology and Economy, 2020, 45(1): 143-144.
[5] 高水练, 杨江帆, 叶乃兴. 福建省茶叶生产效益提升路径实证研究[J]. 福建农林大学学报(哲学社会科学版), 2012, 15(1): 50-55.
Gao S L, Yang J F, Ye N X.An Empirical Study on the path of improving tea production efficiency in Fujian Province[J]. Journal of Fujian Agriculture and Forestry University (Philosophy and Social Sciences), 2012, 15(1): 50-55.
[6] 郭亚军, 刘东南. 信阳市茶叶产业可持续发展模式效益综合评价[J]. 华中农业大学学报(社会科学版), 2011(4): 42-46.
Guo Y J, Liu D N.Comprehensive evaluation on the benefits of sustainable development model of Xinyang tea industry[J]. Journal of Huazhong Agricultural University (Social Sciences Edition), 2011(4): 42-46.
[7] 叶昌松, 包佐淼. 努力开发夏秋茶叶不断提升茶业效益[J]. 茶叶, 2011, 37(1): 39-41.
Ye C S, Bao Z M.Strive to develop tea in summer and autumn to continuously improve the efficiency of tea industry[J]. Tea, 2011, 37(1): 39-41.
[8] 马立锋, 吕闰强, 黄海涛, 等. 机械施肥对茶叶产量、品质和养分吸收的影响及经济效益分析[J]. 浙江农业科学, 2017, 58(3): 391-395, 402.
Ma L F, Lv R Q, Huang H T, et al.Analysis of the effect of mechanical fertilization on the yield, quality and nutrient absorption of tea and its economic benefits[J]. Journal of Zhejiang Agricultural Sciences, 2017, 58(3): 391-395,402.
[9] 肖秀丹, 黄延政, 郑政, 等. 不同配方施肥对夷陵区茶园土壤、茶叶品质和效益的影响初探[J]. 中国茶叶, 2018, 40(3): 20-24.
Xiao X D, Huang Y Z, Zheng Z, et al.Effects of different fertilization formulas on soil, tea quality and benefit in Yiling tea garden[J]. China Tea, 2018, 40(3): 20-24.
[10] 王军, 张越杰. 中国粮食增产的主要因素贡献分解与实证估算[J]. 统计与决策, 2020, 36(1): 44-48.
Wang J, Zhang Y J.Decomposition and empirical estimation of the main factors contributing to grain production increase in China[J]. Statistics and Decision, 2020, 36(1): 44-48.
[11] 段健, 徐勇, 徐小任. 1985—2015年黄土高原地区粮食生产空间格局变化及原因[J]. 水土保持研究, 2019, 26(5): 381-388.
Duan J, Xu Y, Xu X R.Spatial pattern change of grain production and its causes in the Loess Plateau from 1985 to 2015[J]. Research of Soil and Water Conservation, 2019, 26(5): 381-388.
[12] 陈璐, 胡月, 韩学平, 等. 国家粮食安全中主产区粮食生产及其贡献的量化对比分析[J]. 中国土地科学, 2017, 31(9): 34-42.
Chen L, Hu Y, Han X P, et al.Quantitative comparative analysis of grain production and its contribution in major production areas of national food security[J]. China Land Science, 2017, 31(9): 34-42.
[13] 金涛, 陶凯俐. 江苏省粮食生产时空变化的耕地利用因素分解[J]. 资源科学, 2013, 35(4): 758-763.
Jin T, Tao K L.Decomposition of cultivated land use factors in temporal and spatial changes of grain production in Jiangsu Province[J]. Resources Science, 2013, 35(4): 758-763.
[14] 吴海中, 田晓四, 胡刚. 安徽省谷物增量格局及贡献因素分析[J]. 贵州师范大学学报(自然科学版), 2020, 38(1): 79-84, 93.
Wu H Z, Tian X S, Hu G.Analysis of grain increment pattern and contribution factors in Anhui Province[J]. Journal of Guizhou Normal University (Natural Sciences), 2020, 38(1): 79-84, 93.
[15] 付莲莲, 朱红根, 周曙东. 江西省气候变化的特征及其对水稻产量的贡献——基于“气候-经济”模型[J]. 长江流域资源与环境, 2016, 25(4): 590-598.
Fu L L, Zhu H G, Zhou S D.Characteristics of climate change and its contribution to rice yield in Jiangxi Province based on the "Climate-Economy" model[J]. Resources and Environment in the Yangtze Basin, 2016, 25(4): 590-598.
[16] 胡剑波, 任亚运, 郭风. 国际贸易碳排放指数分解法研究综述[J]. 环境科学与技术, 2016, 39(10): 69-72.
Hu J B, Ren Y Y, Guo F.Review of carbon emission index decomposition method in international trade[J]. Environmental Science and Technology, 2016, 39(10): 69-72.
[17] 徐军委, 刘志华. 基于对数平均权重分解法的我国二氧化碳排放因素分解研究[J]. 中国矿业, 2014, 23(12): 24-28.
Xu J W, Liu Z H.Research on decomposition of carbon dioxide emission factors in China based on log average weight decomposition method[J]. China Mining Magazine, 2014, 23(12): 24-28.
[18] 王奇, 夏溶矫. 基于对数平均迪氏分解法的中国大气污染治理投资效果的影响因素探讨[J]. 环境污染与防治, 2012, 34(4): 84-87.
Wang Q, Xia R J.Factors influencing the investment effect of air pollution control in China based on LMDI decomposition method[J]. Environmental Pollution and Control, 2012, 34(4): 84-87.
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