Table 2

Comparative literature review

Author(s)Context/SectorVariables examinedTheoretical framework/ContributionMethodological approachEmpirical/Application characteristicsKey findingsContribution and gap addressed
Roman and Bilan (2015) EU Banking SectorGDP, unemployment, credit growthCredit risk theory; macro-financial stabilityPanel regressionAnnual data; multi-country panel; bank-levelGDP reduces NPLs; unemployment increases NPLsEstablishes the standard inverse GDP-NPL relationship in developed markets; highlights the contrast to frontier agricultural economies
Umoren et al. (2016) Nigeria, AgricultureAgri-credit, GDP, inflationProcyclicality in agricultural lendingGranger causality and OLSQuarterly sector-level data; NigeriaBi-directional causality between agricultural credit and NPLsProvides direct evidence of procyclicality in African agriculture but uses simpler causality tests, motivating a more robust lagged econometric approach
Ashraf and Butt (2019) PakistanGDP, inflation, lending ratesProcyclical behaviour and financial instabilityARDLAnnual data (1980–2016)GDP reduces NPLs; inflation raises NPLsUses ARDL but finds counter-cyclical GDP effect; underscores that findings are context-specific and may not apply to Ghana's agricultural structure
Yin et al. (2020) China, AgricultureFarm characteristics, land tenure, crop type, loan termsBorrower-level credit risk determinantsLogistic regressionFarm-level loan dataFarm size, crop type and collateral significantly predict agricultural loan defaultDemonstrates that agriculture-specific variables drive default risk, supporting the case for sector-disaggregated NPL analysis
Singh et al. (2021) IndiaInterest rates, GDP, inflationCredit market imperfectionsVAR/VECMMonthly data; whole banking sectorInflation and GDP positively predict NPLsFinds a positive GDP-NPL link in a large economy, supporting the possibility of procyclicality, but does not focus on the agricultural sector
Anita et al. (2022) SAARC countries, Banking sectorInflation, interest rate, credit risk indicatorsSectoral credit risk dynamicsFixed effectsAnnual agricultural credit panelInflation inversely related to agricultural NPLsOffers rare sector-specific analysis in developing economy but with annual data, missing short-run dynamics and lagged effects captured by monthly analysis
Okyere and Mensah (2022) Ghana, Banking SectorGDP, inflation, interest rates, exchange ratesMacroeconomic determinants of aggregate NPLsOLS regressionAnnual data; aggregate banking sectorGDP and inflation significantly affect NPLsProvides a Ghanaian baseline but at the aggregate level only; does not disaggregate by sector or model lagged effects, leaving the agricultural dimension unaddressed
Chowdhury et al. (2023) BangladeshGDP, interest rate, exchange rateFinancial cycles and risk transmissionARDLMonthly macro-bank dataGDP positively correlated with NPLs; interest rate significantSupports the procyclical GDP-NPL hypothesis in a frontier market, providing a relevant comparator but without sectoral disaggregation
Tan and Tang (2023) ChinaMonetary policy and bank riskCredit rationing and bank risk-takingPVARQuarterly dataHigher interest rates increase NPLsRepresents the conventional view on interest rates; contrasts with the disciplining effect found here, highlighting the role of market structure and screening
Nehrebecka (2025) Poland, Corporate SectorEnvironmental risk, capital adequacy, credit qualityLong-run environmental and financial risk transmissionPanel ARDLFirm-level data; publicly listed companiesCapital buffers reduce NPLs in the long run; environmental risk increases credit lossesApplies ARDL to sector-specific credit risk, demonstrating the methodology's suitability for capturing delayed transmission; supports the expectation of muted short-run CAR effects
Reigl (2025) Multi-sector, EstoniaGDP, unemployment, interest rates, sectoral compositionSectoral heterogeneity in NPL determinantsPanel regression with sectoral disaggregationQuarterly data; major economic sectorsNPL determinants vary significantly across sectors; agriculture and construction show distinct patternsDirectly supports the argument that aggregate NPL analysis obscures sectoral differences, motivating the present study's focus on agriculture
Present StudyGhana, Agricultural SectorLagged GDP, inflation, interest, CAR, recapitalisationCredit risk theory; financial accelerator; procyclicality; asymmetric informationARDL + ECM + Prais-Winsten (AR(1) correction)Monthly data (2015–2022); explicit modelling of lagged effects; structural break via recapitalisation dummy; sector-specific analysisGDP shows procyclical short-run effect; interest rate exerts discipline; CAR and recap marginal; NPLs persistentDirectly addresses the gap: provides the first robust, lag-focused analysis of agricultural NPLs in Ghana, integrating structural reform context and a dual-method correction for robust inference
Source(s): Author's own construct

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