Does Institutional Quality Shape Agricultural Credit Orientation? Evidence from D-8 Nations

The agricultural sector, which has long been overshadowed by industrialization, has reemerged with renewed strategic significance in the face of global crises, including pandemics and armed conflicts. This study examines the causal relationship between institutional quality and agricultural credit orientation in the Developing-Eight countries from 2002 to 2023. Using the agriculture orientation index for credit as a key indicator, this study investigates how disaggregated institutional dimensions—control of corruption, government effectiveness, political stability and absence of violence, rule of law, regulatory quality, and voice and accountability—affect the allocation of commercial bank credit to agriculture. Both the standard Kónya panel causality test and its time-varying extension are employed to capture static and dynamic causal patterns. The findings demonstrate that institutional quality exerts a substantial effect on credit orientation, although the magnitude and characteristics of this influence differ across countries. Türkiye, Indonesia, Nigeria, and Egypt exhibit consistent causal relationships, whereas other countries reveal episodic or latent effects linked to specific political or legal shifts. By combining dynamic methodology with a policy-relevant indicator, this study offers novel insights into how governance shapes agricultural finance. The results underscore the need for country-specific and institution-sensitive credit strategies to increase resilience and equity in financial systems.

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Publication Details

Journal
Agriculture
Published
2025-09-19
DOI
https://doi.org/10.3390/agriculture15181975
Primary Topic
Working Capital and Financial Performance
Type
article
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article

Does Institutional Quality Shape Agricultural Credit Orientation? Evidence from D-8 Nations

Yusuf Bahadır KAVAS, Ömer Keskin, Musa Gün, Batuhan Medetoğlu
Agriculture
Working Capital and Financial Performance
article

Does Institutional Quality Shape Agricultural Credit Orientation? Evidence from D-8 Nations

Yusuf Bahadır KAVAS, Ömer Keskin, Musa Gün, Batuhan Medetoğlu
article en

Abstract

The agricultural sector, which has long been overshadowed by industrialization, has reemerged with renewed strategic significance in the face of global crises, including pandemics and armed conflicts. This study examines the causal relationship between institutional quality and agricultural credit orientation in the Developing-Eight countries from 2002 to 2023. Using the agriculture orientation index for credit as a key indicator, this study investigates how disaggregated institutional dimensions—control of corruption, government effectiveness, political stability and absence of violence, rule of law, regulatory quality, and voice and accountability—affect the allocation of commercial bank credit to agriculture. Both the standard Kónya panel causality test and its time-varying extension are employed to capture static and dynamic causal patterns. The findings demonstrate that institutional quality exerts a substantial effect on credit orientation, although the magnitude and characteristics of this influence differ across countries. Türkiye, Indonesia, Nigeria, and Egypt exhibit consistent causal relationships, whereas other countries reveal episodic or latent effects linked to specific political or legal shifts. By combining dynamic methodology with a policy-relevant indicator, this study offers novel insights into how governance shapes agricultural finance. The results underscore the need for country-specific and institution-sensitive credit strategies to increase resilience and equity in financial systems.

AgricultureVol. 15(18)
Van Yüzüncü Yıl Üniversitesi (TR), Recep Tayyip Erdoğan University (TR), Burdur Mehmet Akif Ersoy Üniversitesi (TR), Amasya Üniversitesi (TR)
Openalex Percentile: Top 63%
Working Capital and Financial Performance
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Does Institutional Quality Shape Agricultural Credit Orientation? Evidence from D-8 Nations — Yusuf Bahadır KAVAS, Ömer Keskin, et al. · Agriculture (2025) | TGRS Research Map | TGRS