Zhang Tong, Ni Jiupai, Xie Deti
College of Resources and Environment, Southwest University, Chongqing, 400715, China.
Environ Sci Pollut Res Int. 2016 Apr;23(8):8125-32. doi: 10.1007/s11356-016-6344-7. Epub 2016 Mar 2.
This study investigates the relationship between rural non-point source (NPS) pollution and economic development in the Three Gorges Reservoir Area (TGRA) by using the Environmental Kuznets Curve (EKC) hypothesis for the first time. Five types of pollution indicators, namely, fertilizer input density (FD), pesticide input density (PD), agricultural film input density (AD), grain residues impact (GI), and livestock manure impact (MI), were selected as rural NPS pollutant variables. Rural net income per capita was used as the indicator of economic development. Pollution load was generated by agricultural inputs (consumption of fertilizer, pesticide, and agricultural film) and economic growth with invert U-shaped features. The predicted turning points for FD, PD, and AD were at rural net income per capita levels of 6167.64, 6205.02, and 4955.29 CNY, respectively, which were all surpassed. However, the features between agricultural waste outputs (grain residues and livestock manure) and economic growth were inconsistent with the EKC hypothesis, which reflected the current trends of agricultural economic structure in the TGRA. Given that several other factors aside from economic development level could influence the pollutant generation in rural NPS, a further examination with long-run data support should be performed to understand the relationship between rural NPS pollution and income level.
本研究首次运用环境库兹涅茨曲线(EKC)假说,对三峡库区农村面源污染与经济发展之间的关系进行了调查。选取了肥料投入密度(FD)、农药投入密度(PD)、农膜投入密度(AD)、谷物残留影响(GI)和畜禽粪便影响(MI)这5种污染指标作为农村面源污染物变量。农村人均纯收入被用作经济发展指标。污染负荷由农业投入(肥料、农药和农膜的消费量)和具有倒U形特征的经济增长产生。FD、PD和AD的预测转折点分别处于农村人均纯收入6167.64元、6205.02元和4955.29元的水平,这些水平均已被超越。然而,农业废弃物产出(谷物残留和畜禽粪便)与经济增长之间的特征与EKC假说不一致,这反映了三峡库区当前农业经济结构的趋势。鉴于除经济发展水平外,其他几个因素也可能影响农村面源污染的产生,因此应利用长期数据支持进行进一步研究,以了解农村面源污染与收入水平之间的关系。