江西省水资源利用与经济发展适配关系研究

王菲; 穆雅晴; 田培; 郝芳华; 陈述; 吴宜进

doi:10.13961/j.cnki.stbctb.20230613.001

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江西省水资源利用与经济发展适配关系研究

试验研究

- 江西省水资源利用与经济发展适配关系研究
- Adaptation Relationship Between Water Resource Utilization and Economic Development in Jiangxi Province
- 水土保持通报 2023年43卷第4期页码：327-337
- 作者机构：
  
  1. 华中师范大学地理过程分析与模拟湖北省重点实验室,湖北,武汉,430079
  2. 华中师范大学城市与环境科学学院,湖北,武汉,430079
  3. 长江水利委员会长江科学院,湖北,武汉,430010
- 作者简介：
- 基金信息：
  
  教育部“春晖计划”合作科研项目“绿色转型视角下长江中游城市群‘水—能—粮’系统适配性研究”(202200199);湖北省自然科学基金项目(2021CFB550);国家自然科学基金区域创新发展联合基项目(U21A2039);江西省水利厅科技项目(202124ZDKT20)
- DOI：10.13961/j.cnki.stbctb.20230613.001
  中图分类号： X22
- 纸质出版：2023
- 稿件说明：
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王菲, 穆雅晴, 田培, 等. 江西省水资源利用与经济发展适配关系研究[J]. 水土保持通报, 2023,43(4):327-337.

Wang Fei, Mu Yaqing, Tian Pei, et al. Adaptation Relationship Between Water Resource Utilization and Economic Development in Jiangxi Province[J]. Bulletin of Soiland Water Conservation, 2023, 43(4): 327-337.
王菲, 穆雅晴, 田培, 等. 江西省水资源利用与经济发展适配关系研究[J]. 水土保持通报, 2023,43(4):327-337. DOI： 10.13961/j.cnki.stbctb.20230613.001.

Wang Fei, Mu Yaqing, Tian Pei, et al. Adaptation Relationship Between Water Resource Utilization and Economic Development in Jiangxi Province[J]. Bulletin of Soiland Water Conservation, 2023, 43(4): 327-337. DOI： 10.13961/j.cnki.stbctb.20230613.001.

摘要

[目的] 探讨江西省及其11个地级市2015—2020年用水总量与总GDP、三次产业用水量与相应产业GDP的适配关系及变化趋势，揭示产生适配差异的原因，进而为该地区水资源利用与经济发展相协调提供科学依据。[方法] 基于产业用水量和产业GDP数据，应用Tapio模型开展研究。[结果] 2015—2020年江西省用水总量与总GDP均处于适配状态，呈现“强适配—扩张性适配—强适配”的变化趋势，且适配程度表现出西北部＞南部＞中东部的空间分布规律；全省农业用水量与第一产业GDP呈“适配—耦合—适配”的变化趋势，而各市的适配关系波动变化；江西省工业用水量与第二产业GDP除2018—2019年为扩张性适配外，其余时段均为强适配关系，各市2017—2018年全部达到强适配状态；该省第三产业在2015—2020年均处于扩张性适配、正耦合状态，除2020年疫情期间，大部分地市在2015—2019年适配情况好于农业；整体来看，江西省产业用水与产业GDP适配程度为：工业＞第三产业＞农业。[结论] 分析水资源利用与经济发展适配关系变化的主要原因有降水量、经济水平、政策措施、产业结构、技术进步以及水利设施建设等，提出了因地制宜发展特色产业、以水定产、推动产业结构转型升级等对策，以助推江西省可持续发展。

Abstract

[Objective] The adaptation relationship and the changing trends between total water consumption and total GDP

water consumption of three industries and GDP of corresponding industries in Jiangxi Province and its 11 prefecture-level cities from 2015 to 2020 were studied

revealing the reasons for the adaptation differences

and providing scientific basis for the coordination of water resource utilization and economic development in the region. [Methods] Industrial water consumption and industrial GDP data were used with the Tapio model in this study. [Results] Total water use and total GDP of Jiangxi Province were both in a state of adaptation from 2015 to 2020

showing a trend pattern of “strong adaption—expanded adaption—strong adaptation”. The degree of adaptation exhibited a spatial distribution pattern of northwest ＞ south ＞ central and east. Agricultural water consumption and GDP of the primary industry showed a trend pattern of “adaptation—coupling—adaptation”

while the adaptation relationship for each city fluctuated. Except for the expansionary adaptation between industrial water consumption and GDP for the secondary industry in the province in 2018—2019

there was a strong adaptation relationship in other periods

and all cities reached a strong adaptation state in 2017—2018. The tertiary industry of the entire province was in a state of expansionary adaptation and positive coupling from 2015 to 2020. Except during the pandemic period in 2020

the adaptation of most cities was better than that of agriculture from 2015 to 2019. On the whole

the degree of adaptation between industrial water consumption and industrial GDP in Jiangxi Province followed the order of industry ＞ tertiary industry ＞ agriculture. [Conclusion] The main reasons for the change in the adaptation relationship between water use and economic development were precipitation

economic level

policy measures

industrial structure

technological progress

construction of water conservation facilities

etc. Countermeasures

such as developing special industries according to local conditions

determining production with water

and promoting transformation and upgrading of industrial structure

have been proposed to help promote sustainable development in Jiangxi Province.

关键词

Keywords

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