Research on the relationship between industrial water and economic growth based on the perspective of grey water footprint: A case study of Hubei Province

doi:10.14088/j.cnki.issn0439-8114.2023.10.039

Abstract

Abstract: From the perspective of gray water footprint, based on the time series data of Hubei Province from 2003 to 2019 and the grey water footprint and Environmental Kuznets Curve theory, an empirical analysis on the relationship between industrial grey water footprint and economic growth through the methods of unit root test and co-integration test was conducted. The results showed that the relationship between industrial grey water footprint and economic growth was in line with the assumptions of the Environmental Kuznets Curve theory, but different from the traditional inverted “U” curve. The relationship curve obtained from the perspective of gray water footprint presented an inverted “N” shape and there was no turning point. The possible reason was that the structural and technological effects of Hubei Province had long been stronger than the scale effects, which led to a decline in industrial gray water footprint with economic growth, and it was an approximately monotonously decreasing trend.

Key words: industrial grey water footprint, Environmental Kuznets Curve（EKC）, economic growth, Hubei Province

CLC Number:

TV213.9
F124

ZHANG Ye-yu, LI Ang, ZHAO Wen-qi, LI Lu-ji. Research on the relationship between industrial water and economic growth based on the perspective of grey water footprint: A case study of Hubei Province[J]. HUBEI AGRICULTURAL SCIENCES, 2023, 62(10): 230-233.

References

[1] 陈家琦,王浩,杨小柳. 水资源学[M]. 北京:科学出版社,2002.
[2] HOEKSTRA A Y, CHAPAGAIN A K.Globalization of water: Sharing the planet’s freshwater resources[M]. Oxford: Wiley-Blackwell, 2008.
[3] HOEKSTRA A Y, CHAPAGAIN A K, ALDAYA M M, et al.The water footprint assessment manual: Setting the global standard[M]. London: Earthscan, 2011.
[4] 李胜楠,王远,罗进,等. 福建省灰水足迹时空变化及驱动因素[J]. 生态学报, 2020,40(21): 7952-7965.
[5] 梁丽君, 黄嘉瑜,郑桂兴. 工业用水重复利用指标现状调查及分析[J]. 科学与信息化, 2020(18): 74-75.
[6] 姜明栋,刘熙宇,许静茹,等.京津冀地区经济增长对工业用水的脱钩效应及其驱动因素研究[J].干旱区资源与环境,2019, 33(11):70-76.
[7] 张兵兵,沈满洪.工业用水与工业经济增长、产业结构变化的关系[J].中国人口·资源与环境,2015,25(2):9-14.
[8] 史珍,吴凤平,张陈俊.基于PVAR模型和VAR模型的工业用水与工业经济增长关系研究[J].水利经济,2018,36(4):7-13,18,75.
[9] 蒋黎,王晓君.环境质量与农业经济增长的内在关系探讨——基于我国31个省区面板数据的EKC分析[J].农业经济问题,2019(12):43-51.
[10] 夏勇,钟茂初.经济发展与环境污染脱钩理论及EKC假说的关系——兼论中国地级城市的脱钩划分[J].中国人口·资源与环境,2016,26(10):8-16.
[11] 王菲,杨雪,田阳,等.基于EKC假说的碳排放与经济增长关系实证研究[J].生态经济,2018,34(10):19-23.
[12] 宋丽颖,刘源.地方经济增长与环境质量——基于陕西省环境收入曲线的实证分析[J].西安交通大学学报(社会科学版),2014,34(6):70-77.
[13] 齐绍洲,严雅雪.基于面板门槛模型的中国雾霾(PM_2.5)库兹涅茨曲线研究[J].武汉大学学报(哲学社会科学版),2017, 70(4):80-90.
[14] 张陈俊,章恒全. 新环境库兹涅次曲线:工业用水与经济增长的关系[J]. 中国人口 ∙ 资源与环境,2014,24(5):116-123.
[15] 鲁晓东,许罗丹,熊莹.水资源环境与经济增长:EKC假说在中国八大流域的表现[J].经济管理,2016,38(1):20-29.
[16] 曾昭,刘俊国.北京市灰水足迹评价[J].自然资源学报,2013,28(7): 1169-1178.
[17] GB3838—2002,地表水环境质量标准[S].
[18] MCCONNELL K E.Income and the demand for environmental quality[J]. Environmental and development economics,1997, 2(4):383-399.
[19] GROSSMAN G M,KRUEGER A B.Environmental impacts of the North America Free Trade Agreement[R]. NBER Working Paper,1991.