Examining the impacts of input factor application, production efficiency, and inefficiency model on maize yield: employing the stochastic frontier model in search of more efficient ways in managing maize farming
Maize is a significant food crop in Indonesia’s agricultural development endeavors. In South Sulawesi Province, Bantaeng Regency is one of the regencies that developed corn farming with a large land area. This study aimed to examine the impact of input application on maize yield and assess the degre...
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| Format: | Article |
| Language: | English |
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IOP Publishing
2025-01-01
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| Series: | Environmental Research Communications |
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| Online Access: | https://doi.org/10.1088/2515-7620/ada342 |
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| author | Muslim Salam Ayu Anisa Amir A Nixia Tenriawaru Muhammad Hatta Jamil Letty Fudjaja Muhammad An-Nashrullah K Samma Ahmad Imam Muslim Hamed Noralla Bakheet Ali Muhammad Ridwan |
| author_facet | Muslim Salam Ayu Anisa Amir A Nixia Tenriawaru Muhammad Hatta Jamil Letty Fudjaja Muhammad An-Nashrullah K Samma Ahmad Imam Muslim Hamed Noralla Bakheet Ali Muhammad Ridwan |
| author_sort | Muslim Salam |
| collection | DOAJ |
| description | Maize is a significant food crop in Indonesia’s agricultural development endeavors. In South Sulawesi Province, Bantaeng Regency is one of the regencies that developed corn farming with a large land area. This study aimed to examine the impact of input application on maize yield and assess the degree of efficiency and inefficiency in maize farming. The study was conducted in Bantaeng Regency, utilizing a sample size of 180 households engaged in maize farming as the primary data collection method. The data collected was analyzed using the Stochastic Frontier Cobb-Douglas Model, Technical Efficiency Analysis, Allocative Efficiency Analysis, Economic Efficiency Analysis, and Inefficiency Model. The findings indicated that the variables of land area, seed application, urea fertilizer, insecticide, and herbicide exhibited a significant positive impact on yields of maize. Conversely, the variable of NPK fertilizer had a significant negative impact. In the meantime, it is observed that the labor variable demonstrates a negative impact. The observed values in technical (0.544), allocative (1.840), and economic (1.001) suggest that maize cultivation has not attained technical, allocative, or economic efficiency. Meanwhile, it was also found that the variables significant positive to the technical inefficiency of maize farming are farming experience and education level. Therefore, in a short-term perspective, from a technical-managerial perspective, expanding the area of land under management, increasing the volume of seeds, urea fertilizer, insecticides, and herbicides to the optimum use is the right choice and an effective way for farmers to increase maize production. On the local government side, reviewing the price of certified seeds, subsidizing the price of maize seeds, ensuring the availability of urea and NPK fertilizers, insecticides, and herbicides, and intensifying extension activities and technical guidance on maize cultivation are alternative agricultural policies that the government can implement to support the efficiency and effectiveness of maize farming management. |
| format | Article |
| id | doaj-art-a7e5622f861044bbac8073261444e1c4 |
| institution | Kabale University |
| issn | 2515-7620 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Communications |
| spelling | doaj-art-a7e5622f861044bbac8073261444e1c42025-01-07T13:00:39ZengIOP PublishingEnvironmental Research Communications2515-76202025-01-017101500510.1088/2515-7620/ada342Examining the impacts of input factor application, production efficiency, and inefficiency model on maize yield: employing the stochastic frontier model in search of more efficient ways in managing maize farmingMuslim Salam0https://orcid.org/0000-0001-7524-3099Ayu Anisa Amir1https://orcid.org/0000-0001-6100-8901A Nixia Tenriawaru2https://orcid.org/0000-0003-1398-9754Muhammad Hatta Jamil3https://orcid.org/0000-0003-2868-0194Letty Fudjaja4https://orcid.org/0000-0002-7762-9531Muhammad An-Nashrullah K Samma5https://orcid.org/0009-0003-2344-9118Ahmad Imam Muslim6https://orcid.org/0009-0008-2212-6495Hamed Noralla Bakheet Ali7https://orcid.org/0009-0000-2633-6846Muhammad Ridwan8https://orcid.org/0000-0001-5453-6052Laboratory of Farm Management and Agricultural Marketing, Department of Socio-Economics, Faculty of Agriculture, University of Hasanuddin , Jl Perintis Kemerdekaan Km 10 Makassar 90245, IndonesiaLaboratory of Farm Management and Agricultural Marketing, Department of Socio-Economics, Faculty of Agriculture, University of Hasanuddin , Jl Perintis Kemerdekaan Km 10 Makassar 90245, IndonesiaLaboratory of Farm Management and Agricultural Marketing, Department of Socio-Economics, Faculty of Agriculture, University of Hasanuddin , Jl Perintis Kemerdekaan Km 10 Makassar 90245, IndonesiaLaboratory of Farm Management and Agricultural Marketing, Department of Socio-Economics, Faculty of Agriculture, University of Hasanuddin , Jl Perintis Kemerdekaan Km 10 Makassar 90245, IndonesiaLaboratory of Farm Management and Agricultural Marketing, Department of Socio-Economics, Faculty of Agriculture, University of Hasanuddin , Jl Perintis Kemerdekaan Km 10 Makassar 90245, IndonesiaLaboratory of Farm Management and Agricultural Marketing, Department of Socio-Economics, Faculty of Agriculture, University of Hasanuddin , Jl Perintis Kemerdekaan Km 10 Makassar 90245, IndonesiaThe United Graduate School of Agriculture Sciences, Kagoshima University , Kagoshima-shi, Korimoto-ichi-chome 21-ban 24-go, 890-0065, JapanOmdurman Islamic University , Omdurman Abuseeds, Main Campus, Khartoum, Al-Khartoum, PO Box 382, Postal Code 14415, SudanAgriculture Information Institute (AII) , Chinese Academy of Agricultural Sciences, Haidian, Beijing 100081, People’s Republic of ChinaMaize is a significant food crop in Indonesia’s agricultural development endeavors. In South Sulawesi Province, Bantaeng Regency is one of the regencies that developed corn farming with a large land area. This study aimed to examine the impact of input application on maize yield and assess the degree of efficiency and inefficiency in maize farming. The study was conducted in Bantaeng Regency, utilizing a sample size of 180 households engaged in maize farming as the primary data collection method. The data collected was analyzed using the Stochastic Frontier Cobb-Douglas Model, Technical Efficiency Analysis, Allocative Efficiency Analysis, Economic Efficiency Analysis, and Inefficiency Model. The findings indicated that the variables of land area, seed application, urea fertilizer, insecticide, and herbicide exhibited a significant positive impact on yields of maize. Conversely, the variable of NPK fertilizer had a significant negative impact. In the meantime, it is observed that the labor variable demonstrates a negative impact. The observed values in technical (0.544), allocative (1.840), and economic (1.001) suggest that maize cultivation has not attained technical, allocative, or economic efficiency. Meanwhile, it was also found that the variables significant positive to the technical inefficiency of maize farming are farming experience and education level. Therefore, in a short-term perspective, from a technical-managerial perspective, expanding the area of land under management, increasing the volume of seeds, urea fertilizer, insecticides, and herbicides to the optimum use is the right choice and an effective way for farmers to increase maize production. On the local government side, reviewing the price of certified seeds, subsidizing the price of maize seeds, ensuring the availability of urea and NPK fertilizers, insecticides, and herbicides, and intensifying extension activities and technical guidance on maize cultivation are alternative agricultural policies that the government can implement to support the efficiency and effectiveness of maize farming management.https://doi.org/10.1088/2515-7620/ada342maize farmingproduction efficiencymaize yield inefficiencymaize productionstochastic frontier model |
| spellingShingle | Muslim Salam Ayu Anisa Amir A Nixia Tenriawaru Muhammad Hatta Jamil Letty Fudjaja Muhammad An-Nashrullah K Samma Ahmad Imam Muslim Hamed Noralla Bakheet Ali Muhammad Ridwan Examining the impacts of input factor application, production efficiency, and inefficiency model on maize yield: employing the stochastic frontier model in search of more efficient ways in managing maize farming Environmental Research Communications maize farming production efficiency maize yield inefficiency maize production stochastic frontier model |
| title | Examining the impacts of input factor application, production efficiency, and inefficiency model on maize yield: employing the stochastic frontier model in search of more efficient ways in managing maize farming |
| title_full | Examining the impacts of input factor application, production efficiency, and inefficiency model on maize yield: employing the stochastic frontier model in search of more efficient ways in managing maize farming |
| title_fullStr | Examining the impacts of input factor application, production efficiency, and inefficiency model on maize yield: employing the stochastic frontier model in search of more efficient ways in managing maize farming |
| title_full_unstemmed | Examining the impacts of input factor application, production efficiency, and inefficiency model on maize yield: employing the stochastic frontier model in search of more efficient ways in managing maize farming |
| title_short | Examining the impacts of input factor application, production efficiency, and inefficiency model on maize yield: employing the stochastic frontier model in search of more efficient ways in managing maize farming |
| title_sort | examining the impacts of input factor application production efficiency and inefficiency model on maize yield employing the stochastic frontier model in search of more efficient ways in managing maize farming |
| topic | maize farming production efficiency maize yield inefficiency maize production stochastic frontier model |
| url | https://doi.org/10.1088/2515-7620/ada342 |
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