Convergence of carbon emissions at the household level in China: A distribution dynamics approach

2020 ◽  
Vol 92 ◽  
pp. 104956
Author(s):  
Hongwu Zhang ◽  
Xunpeng Shi ◽  
Tsun Se Cheong ◽  
Keying Wang
Keyword(s):  
Carbon Emissions ◽  
Distribution Dynamics ◽  
Household Level ◽  
Distribution Dynamics Approach

scholarly journals Global Industrial Development: Insights From the Distribution Dynamics Approach for the Post Covid Era

2021 ◽  
Vol 9 ◽  
Author(s):  
Ning Ma ◽  
Wai Yan Shum ◽  
Tingting Han ◽  
Tsun Se Cheong
Keyword(s):  
Industrial Development ◽  
Global South ◽  
Industrial Sector ◽  
Industrial Output ◽  
Distribution Dynamics ◽  
Income Effects ◽  
Development Policies ◽  
Global North ◽  
Concurrent Development ◽  
Distribution Dynamics Approach

The spread of COVID-19 has significantly dampened global economic activity and has also wreaked havoc on the industrial sector. Understanding the disparity and convergence of global industrial outputs is important in assessing the effectiveness of concurrent development policies. This study investigates the spatial distribution of global industrial output to unveil the disparity in industrial development and the feasibility of achieving convergence over time. Stochastic kernel analyses are carried out for national regimes to study the overall pattern of industrialization for all the countries in the world. Countries are then classified into different groups to further analyse the geographical and income effects on industrial development. The results show that disparity between the Global North and the Global South will enlarge further in the future. Industrial development in the Global North will continue to prosper, while the industrial output in many countries in the Global South just cannot reach the global average.

A Novel Look at Long-run Convergence Dynamics in the United States

2016 ◽  
Vol 40 (3) ◽  
pp. 241-269 ◽  
Author(s):  
Margherita Gerolimetto ◽  
Stefano Magrini
Keyword(s):  
The United States ◽  
Distribution Dynamics ◽  
Long Run ◽  
Cyclical Pattern ◽  
Short Run ◽  
Income Data ◽  
Per Capita ◽  
Distribution Dynamics Approach ◽  
Capita Personal Income ◽  
Changes Over Time

When regional disparities follow a cyclical short-run pattern, convergence analysis results can be sizably distorted. To tackle this issue, we propose a method based on the extraction of the trend from regional income time series that eschews misleading results when the nature of the cyclical pattern changes over time. Using real per capita personal income data for forty-eight conterminous US states and the distribution dynamics approach, we identify the following three distinct consecutive phases: strong convergence (1930–1970), substantial persistence (1971–1980), and divergence (1981–2010).

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