Spatial Spillovers and the Growth of Livestock Production in Russian Regions

Olga Gennadievna Vasilyeva ()
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Olga Gennadievna Vasilyeva: Economic Research Institute FEB RAS

Spatial Economics=Prostranstvennaya Ekonomika, 2026, issue 2, 29-55

Abstract: Do spatial spillovers matter for the dynamics of livestock production in Russian regions? Are spatial effects significant for individual growth determinants? To address these questions, the study uses panel data for 77 regions spanning 2001–2022 and estimates several spatial econometric models: a spatial lag of X model (SLX), a spatial autoregressive model (SAR), a spatial Durbin model (SDM), and a spatial autoregressive model with error autocorrelation (SAC). Three distance matrices are employed to capture spatial relationships among regions: a road-distance matrix, a rail-distance matrix, and a straight-line distance matrix between regional administrative centers. The results indicate that the spatial autoregressive coefficient and the error autocorrelation coefficient are statistically insignificant. The spatial lags of demand, supply, and infrastructure factors also prove insignificant. This implies that spatial spillovers do not influence livestock production dynamics, and the sector’s development in Russian regions is largely autonomous. The key growth drivers are the inertia of the previous period and consumer demand, while supply-side factors and transport infrastructure exert no statistically significant impact

Keywords: Agricultural economics; Livestock production; Growth factors; Spatial spillovers; Spatial econometric models; Russian regions (search for similar items in EconPapers)
JEL-codes: C23 O13 P25 Q10 R12 (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:far:spaeco:y:2026:i:2:p:29-55

DOI: 10.14530/se.2026.2.029-055

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