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Heptagonal Cross-Border Cooperation and SME Development in the Caucasus and Central Asia: Econometric Modeling of Growth Channels and Spatial Agglomeration (Transekonomika Akuntansi Bisnis dan Keuangan)

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Research paperTransekonomika Akuntansi Bisnis dan KeuanganOctober 202620 pages30 min readMilan Branko VemićOriginal source
Key number
74%
SME share of employment in key markets (up to) p.1
Key number
61%
SME share of GDP in key markets (over) p.1
What changed
39.8%
Kazakhstan SME share of added value (up from 36.7%) p.4

Summary

  • SMEs account for up to 74% of employment and over 61% of GDP in key markets of the Caucasus and Central Asia.p.1
  • The study uses ADB SME Monitor 2024 data (2019-2023) for seven economies.p.1
  • Kazakhstan SME output accounts for 36.7% of added value, a figure that has surged toward 39.8% in the most recent reporting cycles.p.4
  • GVA growth Granger-causes loan growth (p = 0.0003), making SME output a leading indicator for credit.p.14
  • The leave-one-out regional instrument fails in the FE-2SLS diagnostic (F = 0.0483).p.15

Key insights

  1. The region does not operate under a uniform macro-financial transmission mechanism, and three distinct archetypes emerge.p.17
  2. SME gross value added acts as a leading indicator for credit demand and bank lending propensity.p.14
  3. Credit-led policy applies to Kazakhstan and Uzbekistan, where subsidized credit lines and state-backed guarantees are recommended.p.18
  4. For Tajikistan and the Kyrgyz Republic, pushing liquidity into shallow banking sectors is expected to fail and demand-side interventions are preferred.p.18
  5. A weak regional instrument shows that peer averages cannot proxy localized credit supply shocks.p.15
  6. SME definitions differ across economies, so a one-size-fits-all approach to partnership or lending will fail.p.10
  7. The sector remains threatened by corruption, financial exclusion and infrastructure gaps.p.17

Pages

Funders mentioned

Topics and entities

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