Characterizing the development of sectoral Gross Domestic Product composition
Raphael Lutz, Michael Spies, Dominik E. Reusser, J\"urgen P. Kropp,, and Diego Rybski

TL;DR
This paper models the evolution of a country's GDP sector composition using differential equations, revealing distinct development paths and geographic patterns across countries.
Contribution
It introduces a simple differential equation model to characterize sectoral GDP transfer dynamics during economic development.
Findings
Model fits most countries with 4 parameters
Data collapse supports model applicability across countries
Identifies 8 characteristic development paths
Abstract
We consider the sectoral composition of a country's GDP, i.e. the partitioning into agrarian, industrial, and service sectors. Exploring a simple system of differential equations we characterize the transfer of GDP shares between the sectors in the course of economic development. The model fits for the majority of countries providing 4 country-specific parameters. Relating the agrarian with the industrial sector, a data collapse over all countries and all years supports the applicability of our approach. Depending on the parameter ranges, country development exhibits different transfer properties. Most countries follow 3 of 8 characteristic paths. The types are not random but show distinct geographic and development patterns.
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Taxonomy
TopicsEconomic theories and models · Global trade and economics · Economic Growth and Productivity
