Measuring Inclusive Growth in Developing Countries: Composite Index Approach and Sectoral Transformation Analysis

Inclusive growth is increasingly recognized as being critical to sustainable development, particularly in the context of rising income inequality and social polarization around the globe. Effective policy requires robust measurement, prompting the need to move beyond GDP and supplement traditional economic indicators. This study proposes a novel inclusive growth index (IGI) for 73 developing countries. The index is constructed using factor analysis with principal component analysis (PCA) across four pillars: economy, living conditions, equality, and governance. Our results reveal significant heterogeneity among developing countries, largely driven by variations in economic development and governance. Further analysis using OLS regression explores the impact of sectoral transformation, demonstrating a statistically significant positive relationship between shifts from the agricultural to the service sector and the IGI. These findings provide valuable insights for policymakers seeking to create more opportunities and target interventions to achieve more inclusive growth in developing economies.

Authors

Institutions

Publication Details

Journal
Journal of risk and financial management
Published
2025-06-19
DOI
https://doi.org/10.3390/jrfm18060336
Citations
5
Primary Topic
Global Economic and Social Development
Type
article
Field-Weighted Citation Impact
15.66
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Measuring Inclusive Growth in Developing Countries: Composite Index Approach and Sectoral Transformation Analysis

Светлана Ратнер, Ani Khachatryan, Tatevik A. Mkrtchyan
5 citations
Journal of risk and financial management
Global Economic and Social Development
15.66
article

Measuring Inclusive Growth in Developing Countries: Composite Index Approach and Sectoral Transformation Analysis

Светлана Ратнер, Ani Khachatryan, Tatevik A. Mkrtchyan
article en
5 citations

Abstract

Inclusive growth is increasingly recognized as being critical to sustainable development, particularly in the context of rising income inequality and social polarization around the globe. Effective policy requires robust measurement, prompting the need to move beyond GDP and supplement traditional economic indicators. This study proposes a novel inclusive growth index (IGI) for 73 developing countries. The index is constructed using factor analysis with principal component analysis (PCA) across four pillars: economy, living conditions, equality, and governance. Our results reveal significant heterogeneity among developing countries, largely driven by variations in economic development and governance. Further analysis using OLS regression explores the impact of sectoral transformation, demonstrating a statistically significant positive relationship between shifts from the agricultural to the service sector and the IGI. These findings provide valuable insights for policymakers seeking to create more opportunities and target interventions to achieve more inclusive growth in developing economies.

Journal of risk and financial managementVol. 18(6)
Peoples' Friendship University of Russia (RU), Armenian State University of Economics (AM)
Openalex Percentile: Top 1%
Global Economic and Social Development
15.66
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Measuring Inclusive Growth in Developing Countries: Composite Index Approach and Sectoral Transformation Analysis — Светлана Ратнер, Ani Khachatryan, et al. · Journal of risk and financial management (2025) | TGRS Research Map | TGRS