Comparative literature review
| Author(s) | Context/Sector | Variables examined | Theoretical framework/Contribution | Methodological approach | Empirical/Application characteristics | Key findings | Contribution and gap addressed |
|---|---|---|---|---|---|---|---|
| Roman and Bilan (2015) | EU Banking Sector | GDP, unemployment, credit growth | Credit risk theory; macro-financial stability | Panel regression | Annual data; multi-country panel; bank-level | GDP reduces NPLs; unemployment increases NPLs | Establishes the standard inverse GDP-NPL relationship in developed markets; highlights the contrast to frontier agricultural economies |
| Umoren et al. (2016) | Nigeria, Agriculture | Agri-credit, GDP, inflation | Procyclicality in agricultural lending | Granger causality and OLS | Quarterly sector-level data; Nigeria | Bi-directional causality between agricultural credit and NPLs | Provides direct evidence of procyclicality in African agriculture but uses simpler causality tests, motivating a more robust lagged econometric approach |
| Ashraf and Butt (2019) | Pakistan | GDP, inflation, lending rates | Procyclical behaviour and financial instability | ARDL | Annual data (1980–2016) | GDP reduces NPLs; inflation raises NPLs | Uses 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, Agriculture | Farm characteristics, land tenure, crop type, loan terms | Borrower-level credit risk determinants | Logistic regression | Farm-level loan data | Farm size, crop type and collateral significantly predict agricultural loan default | Demonstrates that agriculture-specific variables drive default risk, supporting the case for sector-disaggregated NPL analysis |
| Singh et al. (2021) | India | Interest rates, GDP, inflation | Credit market imperfections | VAR/VECM | Monthly data; whole banking sector | Inflation and GDP positively predict NPLs | Finds 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 sector | Inflation, interest rate, credit risk indicators | Sectoral credit risk dynamics | Fixed effects | Annual agricultural credit panel | Inflation inversely related to agricultural NPLs | Offers 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 Sector | GDP, inflation, interest rates, exchange rates | Macroeconomic determinants of aggregate NPLs | OLS regression | Annual data; aggregate banking sector | GDP and inflation significantly affect NPLs | Provides 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) | Bangladesh | GDP, interest rate, exchange rate | Financial cycles and risk transmission | ARDL | Monthly macro-bank data | GDP positively correlated with NPLs; interest rate significant | Supports the procyclical GDP-NPL hypothesis in a frontier market, providing a relevant comparator but without sectoral disaggregation |
| Tan and Tang (2023) | China | Monetary policy and bank risk | Credit rationing and bank risk-taking | PVAR | Quarterly data | Higher interest rates increase NPLs | Represents 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 Sector | Environmental risk, capital adequacy, credit quality | Long-run environmental and financial risk transmission | Panel ARDL | Firm-level data; publicly listed companies | Capital buffers reduce NPLs in the long run; environmental risk increases credit losses | Applies 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, Estonia | GDP, unemployment, interest rates, sectoral composition | Sectoral heterogeneity in NPL determinants | Panel regression with sectoral disaggregation | Quarterly data; major economic sectors | NPL determinants vary significantly across sectors; agriculture and construction show distinct patterns | Directly supports the argument that aggregate NPL analysis obscures sectoral differences, motivating the present study's focus on agriculture |
| Present Study | Ghana, Agricultural Sector | Lagged GDP, inflation, interest, CAR, recapitalisation | Credit risk theory; financial accelerator; procyclicality; asymmetric information | ARDL + ECM + Prais-Winsten (AR(1) correction) | Monthly data (2015–2022); explicit modelling of lagged effects; structural break via recapitalisation dummy; sector-specific analysis | GDP shows procyclical short-run effect; interest rate exerts discipline; CAR and recap marginal; NPLs persistent | Directly 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 |
| Author(s) | Context/Sector | Variables examined | Theoretical framework/Contribution | Methodological approach | Empirical/Application characteristics | Key findings | Contribution and gap addressed |
|---|---|---|---|---|---|---|---|
| EU Banking Sector | GDP, unemployment, credit growth | Credit risk theory; macro-financial stability | Panel regression | Annual data; multi-country panel; bank-level | GDP reduces NPLs; unemployment increases NPLs | Establishes the standard inverse GDP-NPL relationship in developed markets; highlights the contrast to frontier agricultural economies | |
| Nigeria, Agriculture | Agri-credit, GDP, inflation | Procyclicality in agricultural lending | Granger causality and OLS | Quarterly sector-level data; Nigeria | Bi-directional causality between agricultural credit and NPLs | Provides direct evidence of procyclicality in African agriculture but uses simpler causality tests, motivating a more robust lagged econometric approach | |
| Pakistan | GDP, inflation, lending rates | Procyclical behaviour and financial instability | ARDL | Annual data (1980–2016) | GDP reduces NPLs; inflation raises NPLs | Uses ARDL but finds counter-cyclical GDP effect; underscores that findings are context-specific and may not apply to Ghana's agricultural structure | |
| China, Agriculture | Farm characteristics, land tenure, crop type, loan terms | Borrower-level credit risk determinants | Logistic regression | Farm-level loan data | Farm size, crop type and collateral significantly predict agricultural loan default | Demonstrates that agriculture-specific variables drive default risk, supporting the case for sector-disaggregated NPL analysis | |
| India | Interest rates, GDP, inflation | Credit market imperfections | VAR/VECM | Monthly data; whole banking sector | Inflation and GDP positively predict NPLs | Finds a positive GDP-NPL link in a large economy, supporting the possibility of procyclicality, but does not focus on the agricultural sector | |
| SAARC countries, Banking sector | Inflation, interest rate, credit risk indicators | Sectoral credit risk dynamics | Fixed effects | Annual agricultural credit panel | Inflation inversely related to agricultural NPLs | Offers rare sector-specific analysis in developing economy but with annual data, missing short-run dynamics and lagged effects captured by monthly analysis | |
| Ghana, Banking Sector | GDP, inflation, interest rates, exchange rates | Macroeconomic determinants of aggregate NPLs | OLS regression | Annual data; aggregate banking sector | GDP and inflation significantly affect NPLs | Provides a Ghanaian baseline but at the aggregate level only; does not disaggregate by sector or model lagged effects, leaving the agricultural dimension unaddressed | |
| Bangladesh | GDP, interest rate, exchange rate | Financial cycles and risk transmission | ARDL | Monthly macro-bank data | GDP positively correlated with NPLs; interest rate significant | Supports the procyclical GDP-NPL hypothesis in a frontier market, providing a relevant comparator but without sectoral disaggregation | |
| China | Monetary policy and bank risk | Credit rationing and bank risk-taking | PVAR | Quarterly data | Higher interest rates increase NPLs | Represents the conventional view on interest rates; contrasts with the disciplining effect found here, highlighting the role of market structure and screening | |
| Poland, Corporate Sector | Environmental risk, capital adequacy, credit quality | Long-run environmental and financial risk transmission | Panel ARDL | Firm-level data; publicly listed companies | Capital buffers reduce NPLs in the long run; environmental risk increases credit losses | Applies ARDL to sector-specific credit risk, demonstrating the methodology's suitability for capturing delayed transmission; supports the expectation of muted short-run CAR effects | |
| Multi-sector, Estonia | GDP, unemployment, interest rates, sectoral composition | Sectoral heterogeneity in NPL determinants | Panel regression with sectoral disaggregation | Quarterly data; major economic sectors | NPL determinants vary significantly across sectors; agriculture and construction show distinct patterns | Directly supports the argument that aggregate NPL analysis obscures sectoral differences, motivating the present study's focus on agriculture | |
| Present Study | Ghana, Agricultural Sector | Lagged GDP, inflation, interest, CAR, recapitalisation | Credit risk theory; financial accelerator; procyclicality; asymmetric information | ARDL + ECM + Prais-Winsten (AR(1) correction) | Monthly data (2015–2022); explicit modelling of lagged effects; structural break via recapitalisation dummy; sector-specific analysis | GDP shows procyclical short-run effect; interest rate exerts discipline; CAR and recap marginal; NPLs persistent | Directly 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 |
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