Impact of agricultural credit disbursement on cereals yield in Odisha
Dados Bibliográficos
| ID | 4925544 |
|---|---|
| Autores | Bamadev Mahapatra (School of Social, Financial and Human Sciences Kalinga Institute of Industrial Technology (KIIT) (Deemed to be University) Bhubaneswar Odisha India), Diptimayee Jena (0000-0001-9876-8672, Nabakrushna Choudhury Centre for Development Studies (NCDS) Bhubaneswar Odisha India) |
| Ano | 2023 |
| Volume | 73 |
| Fascículo | 248 |
| Páginas | 373-391 |
| Data de publicação | 2023-06-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | International Social Science Journal (JOURNAL) |
| Identificadores do periódico | ISSN: 0020-8701 • E-ISSN: 1468-2451 |
| Editora | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/issj.12425 |
| OpenAlex | W4366123104 |
| Idioma | EN |
| Referências citadas | 32 |
Realizing the significance of agricultural credit and considering millets and rice are the major crops in Odisha, this study proposes to examine the impact of agricultural credit disbursement (crop loan and term loan) on the yield of total cereals, millets and rice for the period 2000-01 to 2019-20. To examine the cointegration relationship among the variables, an autoregressive distributed lag (ARDL) bound F-test, and to investigate the impact of agricultural credit on yield of total cereals, millets and rice, an ARDL regression modelling framework is employed. The empirical result for the bounding F-test provides a statistically significant relationship between agricultural credit and yield of total cereals, millets and rice at 1% level, confirming the long-run equilibrium relationship in the models. The long-run impact of crop loans positively affects the yield of total cereals and rice, whereas it has no statistically significant effect on the yield of millets. Moreover, the change in term loan negatively affects the yield of total cereals, millets and rice in the long-run, where the magnitude is higher in the rice yield compared to the yield of millets. However, in the short-run, both crop and term loans negatively affect the yield of total cereals, millets and rice. Based on the findings of this study, few policy implications have been suggested to reduce the negative consequences of agricultural credit on cereal yields in Odisha
Agriculture · Agronomy · Biology · Cointegration · Crop · Crop yield · Disbursement · Distributed lag · Econometrics · Economics · Loan · Non-invasive ventilation · Yield (engineering) · Agricultural Economics and Practices · Agricultural risk and resilience · Finance · Indian Economic and Social Development · Mathematics
Techniques for Testing the Constancy of Regression Relationships Over Time
Pooled Mean Group Estimation of Dynamic Heterogeneous Panels
Testing for a unit root in time series regression
Bounds testing approaches to the analysis of level relationships
Distribution of the Estimators for Autoregressive Time Series with a Unit Root
Bank Credit to Agriculture in India in the 2000s
Agricultural credit and agricultural productivity across Indian states
Adoption Pattern and Welfare Impact of Agricultural Technology
Credit Constraints and Distress Sales in Rural India
| Velocidade de citação | historical |
|---|---|
| Altamente citado | Não |