Institutional credit and farm technical efficiency: Evidence from a field experiment using stochastic frontier analysis (Record no. 533873)
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| 000 -LEADER | |
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| fixed length control field | 02307nam a22001457a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260709b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Bhat, Showkat Ahmad Paltasingh, Kirtti Ranjan Mir, Ab Hamid and Hamid, Ishfaq |
| 245 ## - TITLE STATEMENT | |
| Title | Institutional credit and farm technical efficiency: Evidence from a field experiment using stochastic frontier analysis |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | International Journal of Rural Management |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 22(1), Apr, 2026: p.115-135 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This study examines the impact of access to formal credit on the technical efficiency of farms. The stochastic frontier analysis (SFA) is used to estimate technical efficiency by utilising primary survey data collected through a multi-stage random sampling technique. The results reveal that technical efficiency scores range from 0.56 to 0.97. There is a relatively high level of technical efficiency among borrower households (score 0.88) compared to non-borrower households (score 0.67), which implies that credit access enables farmers to use better technologies and optimise input use. The major inputs, such as labour, chemicals, machinery and farm size, are positively associated with farm technical efficiency, whereas land tenancy, seed price and fertilisers tend to decrease farm efficiency. The gamma coefficient (0.76) justifies the application of SFA, implying that inefficiency in the farm inputs is more likely than random shocks. In addition, the age of the household head, farming experience, education, occupation, membership, farm size, household assets and access to credit are the primary factors determining efficiency. These findings highlighted the requirement to have policy interventions in order to improve the socio-economic environment, institutional support, access to credit and managerial skills of farmers, which would increase productivity and achieve sustainable agricultural development.- Reproduced https://journals.sagepub.com/doi/full/10.1177/09730052261423707?_gl=1*aqeh6a*_up*MQ..*_ga*MTIwOTEwMjg3 NS4xNzgzNTg5MjE2*_ga_60R758KFDG*czE3ODM1ODkyMTUkbzEkZzEkdDE3ODM1ODkyNjMkajEyJGwxJGg1OTk5NjEwOTg. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Technical efficiency, stochastic frontier analysis, Agricultural credit, Tobit regression. |
| 9 (RLIN) | 61562 |
| 773 ## - HOST ITEM ENTRY | |
| Main entry heading | International Journal of Rural Management |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Item type | Articles |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent location | Current location | Date acquired | Serial Enumeration / chronology | Barcode | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Indian Institute of Public Administration | Indian Institute of Public Administration | 2026-07-09 | 22(1), Apr, 2026: p.115-135 | AR139332 | 2026-07-09 | Articles |