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Decomposing the decoupling of water consumption and economic growth in Jiangxi, China

机译:分解江西省水消耗和经济增长的解散

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Current population growth coupled with industrial growth has caused water supply to be outstripped by human demand. Understanding water consumption (WC) decoupling patterns and the factors affecting the decoupling status are essential for balancing economic growth and WC. This study determines the decoupling relationship between WC and economic growth in Jiangxi Province, China, and the driving factors were determined by the Tapio decoupling model and the logarithmic mean Divisia index method. Results showed that changes in the industrial structure in Jiangxi Province resulted in corresponding changes in WC structure. Analysis of the decoupling relationship showed that the decoupling state between WC and economic growth for primary industry was very unstable and largely volatile from 1999 to 2015, but showed a good decoupling status for secondary and tertiary industries. The largest cumulative effects on WC were economic development and technology, which were positive and negative drivers of WC changes, contributing 1,406.14% and ~902.96% to the total effect of WC, respectively. The findings can help Jiangxi government identify the key factors influencing the decoupling effect, and formulate effective policies to reduce WC, which will benefit the harmonious development of economy, society and water resources in Jiangxi Province.
机译:随着工业增长的目前的人口增长导致了人类需求超出了供水。了解耗水量(WC)去耦模式和影响去耦状态的因素对于平衡经济增长和WC来说是必不可少的。本研究决定了江西省,中国的WC与经济增长与驾驶因子的解耦关系是由Tapio解耦模型和对数平均Divisia指数方法决定的。结果表明,江西省产业结构的变化导致了WC结构的相应变化。解耦关系的分析表明,从1999年到2015年,WC与主要行业经济增长之间的解耦状态非常不稳定,并且在2015年至2015年的挥发性很大,但对中等和第三产业展示了良好的解耦状态。对WC的最大累积效应是经济发展和技术,其效率和负面司机分别为WC变化的积极和消极驱动因素,分别为WC的总效应贡献1,406.14%和〜902.96%。调查结果可以帮助江西政府确定影响去耦效应的关键因素,并制定减少WC的有效政策,这将有利于江西省经济,社会和水资源的和谐发展。

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