Input Data for Exploring the Nexus Between Banking Sector, SME-intensive sector perfor-mance and Inclusive Growth: Evidence from CAREC Nations

This dataset contains the processed panel data and calculated index scores used to evaluate inclusive growth across 10 Central Asia Regional Economic Cooperation (CAREC) nations spanning the 15-year period from 2008 to 2022. Data Collection & SourcesThe underlying raw data was extracted from two reputable global databases: World Development Indicators (WDI) by the World Bank United Nations Development Programme (UNDP) reports Methodology & Index ConstructionTo reduce dimensionality and handle multicollinearity among the large array of socio-economic indicators, Principal Component Analysis (PCA) was applied. Using the weights derived from the PCA, the authors constructed a comprehensive Inclusive Growth Index to track and compare development performance across the CAREC member states. How to Read and Use the Data File Structure: The data is organized in a tabular panel format sorted by Country and Year. Variable Acronyms: To ensure seamless cross-referencing, all variable names and acronyms in this dataset strictly match the terminology, shorthand notations, and acronyms used in the accompanying research paper. Key Columns: Includes spatial tracking (CAREC nations), temporal tracking (years 2008–2022), the individual input variables, and the final computed Inclusive Growth Index scores.