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Updated: Jan 28, 2026

Reducing Willow Wood Fuel Emission by Low Temperature Microwave Assisted Hydrothermal Carbonization

Reducing Willow Wood Fuel Emission by Low Temperature Microwave Assisted Hydrothermal Carbonization

Published on: May 19, 2019

Are per capita carbon emissions predictable across countries?

Cheng-Kuan Lin¹, Tom Chen², Xihao Li²

¹Department of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Building 1, Room 1406, Boston, MA 02115, USA.

Journal of Environmental Management

|March 4, 2019

Summary

Developing Asian economies show similar CO2 emission patterns, mirroring "leading geese" countries. This "flying S" hypothesis predicts future greenhouse gas emissions based on economic growth and energy matrix stability.

Keywords:

CO(2)Climate change Economic development Emission Flying geese Greenhouse gas Macroeconomic

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Design and Use of a Full Flow Sampling System FFS for the Quantification of Methane Emissions

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Published on: June 12, 2016

Area of Science:

Environmental Science
Economics
Climate Change Modeling

Background:

The flying geese (FG) model describes industrialization catch-up in latecomer economies.
Asian countries, including China, exhibit similar economic development trajectories.
A stable energy matrix is a prerequisite for emission curve mirroring within FG regions.

Purpose of the Study:

To propose and test the "flying S" hypothesis.
To link macroeconomic paradigms (FG model) with climate change analysis.
To predict per capita CO2 emissions in East Asian countries.

Main Methods:

Utilized historical CO2 emissions data from literature and national reports.
Employed bottom-up calculation methods for emissions.
Applied a sigmoid-shaped, non-linear mixed-effect model with 1000 simulations for prediction bands.

Main Results:

Per capita CO2 emissions within the same FG group show mirroring patterns, particularly in industrial sectors.
Projected China's CO2 emissions to 18,252.24 MtCO2 annually by 2030.
Projected India's CO2 emissions to 8,281.76 MtCO2 annually by 2030.

Conclusions:

The "flying S" hypothesis offers a novel framework for understanding and predicting greenhouse gas emissions.
This study integrates macroeconomic theory with climate change research.
Provides an alternative method for CO2 emission forecasting beyond 2030.