Related Experiment Video
Updated: Aug 31, 2025

13:48
Design and Construction of an Urban Runoff Research Facility
Published on: August 8, 2014
13.2K
Research on the Relationship between Urban Agricultural Nonpoint Source Pollution and Rural Residents' Income Growth.
Pu Xu1, Shanwei Li1, Xiaona Yang1
1School of Economics and Management, Shanghai Ocean University, Shanghai 201306, China.
Journal of Environmental and Public Health
|August 22, 2022
Summary
Urban agricultural nonpoint source pollution (UANSP) impacts rural income differently based on pollution type. Plastic film use shows an inverted "N" curve, while fertilizer and pesticide use has a decreasing relationship with income.
Area of Science:
- Environmental Science
- Agricultural Economics
- Regional Planning
Background:
- Urban agricultural nonpoint source pollution (UANSP) presents challenges for environmental quality and rural economic development.
- Understanding the nexus between UANSP and rural income is crucial for sustainable development strategies.
- Shanghai's agricultural sector provides a relevant case study for analyzing these dynamics.
Purpose of the Study:
- To dynamically analyze the interaction between UANSP and rural residents' income levels in Shanghai.
- To examine the impact effects and explanatory contributions of different UANSP factors on income.
- To inform policy interventions for controlling UANSP and enhancing rural livelihoods.
Main Methods:
- Utilized agricultural statistical data from Shanghai spanning 1998-2019.
- Applied the Environmental Kuznets Curve (EKC) and Vector Autoregression (VAR) models.
- Dynamically analyzed the interrelationships and impact effects of key variables.
Main Results:
- An inverted "N" curve relationship was observed between plastic film application intensity and rural income.
- Fertilizer and pesticide application intensity showed a linear decreasing relationship with rural income.
- UANSP emissions decrease with rising rural income; pollution reduction has short-term income benefits but long-term negative effects.
Conclusions:
- Plastic film intensity strongly drives rural income, unlike fertilizer and pesticides.
- Policy should address UANSP from both short-term and long-term perspectives.
- Long-term strategies include promoting ecological agriculture and improving monitoring; short-term measures involve subsidies and technical assistance.
More Related Videos
Related Concept Videos
Responses to Drought and Flooding
10.9K
Water plays a significant role in the life cycle of plants. However, insufficient or excess of water can be detrimental and pose a serious threat to plants.
10.9K
Outliers and Influential Points
4.2K
An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the...
4.2K
Social Traps
23.0K
Social traps are negative situations where people get caught in a direction or relationship that later proves to be unpleasant, with no easy way to back out of or avoid. The concept was orignally introduced by John Platt who applied psychology to Garrett Hardin's "Tragedy of the Commons", where in New England herd owners could let their cattle graze in the common ground. This situation seems like a good idea, but an individual could have an advantage. If they owned...
23.0K
Gene Flow
35.5K
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
35.5K
Scatter Plot
7.4K
The most common and easiest way to display the relationship between two variables, x and y, is a scatter plot. A scatter plot shows the direction of a relationship between the variables. A clear direction happens when there is either:
7.4K
Multiple Regression
3.1K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.1K

