Open access Journal
ESTIMATION MODEL OF POTATO FARMING PRODUCTION FUNCTION IN KERINCI REGENCY, JAMBI PROVINCE INDONESIA
JALOW | Journal of Agribusiness and Local Wisdom · Vol. 8 No. 1 (2025) · pp. 41–49
- ISSN
- 2621-1300, 2621-1297
- Published
- 2025-01-06
- Publisher
- Program Studi Agribisnis bekerja sama dengan PERHEPI
- Language
- en
Abstract
This study aims to estimate the model of potato farming production function in Kerinci Regency, Jambi Province. The estimation of the production function model uses the Cobb-Douglas production function model, the transcendental production function model, and the log-log inversion production function model. The best production function model of the analysis that is able to explain the physical relationship between inputs and potato farming output is the Cobb-Douglas production function model with the value of the determination coefficient adj-R2 = 0.8566 [85.66 %] for granola and for cipanas varieties the determination coefficient adj-R2 = 0.8972 [89.72 %]. The Cobb-Douglas production function model was chosen as the best function because it showed a high adj-R2 value and a t-test of each significant predictor variable. The estimation of the production function model of the Cipanas potato farming function is only a Cobb-Douglas production function model that is able to explain the logical, factual and theoretically acceptable technical relationship to explain the influence of production inputs on production. The sum of all input parameters for granola potato farming production was obtained ∑βi = 0.9689.< 1. Indicates that granola potato farming is in area I (Decreasing Return to Scale). In the cultivation of cipanas potato varieties, ∑βi = 0.9669 < 1. It indicates that the cultivation of cipanas potato varieties is in area II (decreasing Return to Scale). The technical efficiency of both potato varieties is relatively low, which means there is still great potential for increased productivity.
Keywords
Collaboration network of the authors
40 authors · 94 co-authorship links · showing the 40 most connected
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| Co-author | Organisation | Joint articles |
|---|---|---|
| Saad Murdy | Affiliation unknown | 6 |
| Ira Wahyuni | Affiliation unknown | 6 |
| Suandi Suandi | Affiliation unknown | 4 |
| Yanuar Fitri | Affiliation unknown | 4 |
| Yusma Damayanti | Affiliation unknown | 3 |
| Adlaida Malik | Affiliation unknown | 2 |
| Aulia Farida | Affiliation unknown | 2 |
| Ardhiyan Saputra | Affiliation unknown | 2 |
| Armen Mara | Affiliation unknown | 2 |
| Apriliana Apriliana | Affiliation unknown | 2 |
| Zulkifli Alamsyah | Affiliation unknown | 2 |
| Dompak Napitupulu | Affiliation unknown | 2 |
| Mirawati Yanita | Affiliation unknown | 2 |
| Nadia Safitri | Affiliation unknown | 2 |
| Rosa Mayshinta | Affiliation unknown | 2 |
| Yulismi Yulismi | Affiliation unknown | 2 |
| Deny Oscar | Affiliation unknown | 1 |
| Siti Kurniasih | Affiliation unknown | 1 |
| Zahra Aisyah Abel | Affiliation unknown | 1 |
| Riri Oktari Ulma | Affiliation unknown | 1 |
| Sukris Nopi | Affiliation unknown | 1 |
| Damel Fink Lybaws | Affiliation unknown | 1 |
| Nancy Irawaty Sianturi | Affiliation unknown | 1 |
| Ebi Febriansyah | Affiliation unknown | 1 |
| Siska Yumanita | Affiliation unknown | 1 |
| Fenny Febiola Silalahi | Affiliation unknown | 1 |
| vidiya tamara | Affiliation unknown | 1 |
| Inez Almira | Affiliation unknown | 1 |
| Elwamendri Elwamendri | Affiliation unknown | 1 |
| Halisa Arnadia | Affiliation unknown | 1 |
| fitra yusafriyani | Affiliation unknown | 1 |
| Windi Oliviandari | Affiliation unknown | 1 |
| Agustynus Pratama | Affiliation unknown | 1 |
| Adinda Inayah Salwa | Affiliation unknown | 1 |
| Rachel Saragih | Affiliation unknown | 1 |
| Marlina Veni | Affiliation unknown | 1 |
| Firli Anistia Sari | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.