Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Regression Analysis

Regression Analysis

Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:

Sampling Plans

Sampling Plans

Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

AI-Carbon-Energy: Spillover effects and drivers in interconnected markets.

iScience·2026

Same author

Distortion amplification effects caused by imperfect climate policies: Evidence from China's emissions trading scheme.

Journal of environmental management·2025

Same author

Synergistic governance efficiency of industrial pollution and CO<sub>2</sub> emissions under the digital economy.

Journal of environmental management·2025

Same author

Interbasin trade worsens the state of freshwater fish biodiversity in China.

iScience·2024

Same author

Analyzing the dynamic effect of energy endowment-demand distortion on sustainable development: Insights from China's regional disparity.

Journal of environmental management·2024

Same author

The impact of marketed on-grid price on China's photovoltaic industry under the background of carbon neutrality.

Environmental science and pollution research international·2023

Search research articles

Related Experiment Video

Updated: Sep 29, 2025

Assessing the Particulate Matter Removal Abilities of Tree Leaves

Assessing the Particulate Matter Removal Abilities of Tree Leaves

Published on: October 7, 2018

How does financial development alleviate pollutant emissions in China? A spatial regression analysis.

Xing Wang^1,2, Dequn Zhou^3,4, Şahin Telli³

¹College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China. ilepay@126.com.

Environmental Science and Pollution Research International

|March 23, 2022

Summary

Financial development impacts pollutant emissions differently across regions, with sulfur dioxide showing strong spillover effects and solid waste showing weak ones. Both emissions exhibit a U-shaped relationship with financial development.

Keywords:

Financial development Pollutant emissions Spatial autocorrelation Spatial regression model

More Related Videos

Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions

Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions

Published on: January 7, 2019

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

Related Experiment Videos

Last Updated: Sep 29, 2025

Assessing the Particulate Matter Removal Abilities of Tree Leaves

Assessing the Particulate Matter Removal Abilities of Tree Leaves

Published on: October 7, 2018

Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions

Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions

Published on: January 7, 2019

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

Area of Science:

Environmental Economics
Regional Economics
Sustainable Development

Background:

Financial development significantly impacts the real economy and exhibits nonlinear characteristics.
Understanding the environmental effects of financial development is crucial for sustainable development policies.
Regional disparities in financial development necessitate localized environmental assessments.

Purpose of the Study:

To investigate the nonlinear relationship between financial development and pollutant emissions (SO2 and SW) in China.
To analyze the spatial transmission mechanisms of financial development's impact on pollutant emissions.
To consider the varying stages of financial development across different regions.

Main Methods:

Quantitative analysis of industrial sulfur dioxide (SO2) and solid waste (SW) emissions in China.
Theoretical analysis of spatial transmission mechanisms.
Examination of nonlinear relationships and spatial spillover effects.

Main Results:

A positive spatial spillover effect of pollutant emissions was observed across regions.
Financial development reduced SO2 emissions locally but increased them in surrounding regions (strong spillover).
Financial development reduced SW emissions locally with no significant impact on surrounding regions (weak spillover).
A U-shaped relationship was found between financial development and both SO2 and SW emissions.
An inverted U-shaped relationship was observed between economic growth and pollutant emissions.

Conclusions:

Financial development has complex, spatially dependent effects on pollutant emissions.
Policy interventions should account for spatial spillover effects and regional financial development stages.
The findings support the design of targeted environmental policies to promote sustainable financial development.