Regional Correlates of Real Agricultural Output in Kazakhstan: Panel Evidence

Abstract

This study examines regional correlates of real agricultural output in Kazakhstan using a harmonized panel of 14 agricultural regional units observed from 2016 to 2025. To distinguish production-volume changes from nominal price movements, the main dependent variable is a chain-linked measure of real agricultural output constructed from official regional physical volume indices. The analysis considers agricultural employment, sown area, cattle stock, contemporaneous and lagged agricultural investment, non-agricultural gross regional product, and sectoral concentration measured by the Herfindahl–Hirschman Index. The empirical strategy combines parsimonious two-way fixed-effects models, wild cluster bootstrap inference, correlated random-effects diagnostics, region-specific linear trends, and sensitivity analyses excluding administratively reorganized regional units. Sown area shows the most consistent positive association with real agricultural output in the baseline fixed-effects specifications. However, the coefficient becomes statistically insignificant after region-specific trends are introduced. Agricultural employment, cattle stock, aggregate investment, non-agricultural GRP, prior agricultural specialization, and sectoral concentration do not show robust associations across the revised specifications. Models using annual real-output growth as an alternative dependent variable also produce no robust relationships. The findings indicate that aggregate production inputs alone do not fully explain regional agricultural performance in Kazakhstan. Regional policy should therefore place greater emphasis on land productivity, irrigation efficiency, climate resilience, investment quality, processing, logistics, and agri-food value-chain development.