IDEAS home Printed from https://ideas.repec.org/a/ags/ajosrd/342398.html
   My bibliography  Save this article

Technology gap ratio decomposition in sugarcane farming in Indonesia

Author

Listed:
  • Hanani AR, Nuhfil
  • Asmara, Rosihan
  • Fahriyah, Fahriyah

Abstract

Indonesia's population and income growth have led to a higher demand for raw sugar and its derivative products; for this reason, sugarcane production must be improved, especially in central production areas. However, efforts are constrained by the disparity in resource endowment and technology. This study aimed to analyse technical, technological, and managerial gaps in sugarcane farming in different areas of East Java. The study used primary data collected through a survey during the 2019/2020 sugarcane planting season in Malang, Kediri, and Mojokerto Regencies. A structured questionnaire was used to collect data on inputs and outputs. A meta-frontier data envelopment analysis (meta-DEA) approach was used to measure the technical efficiency of sugarcane farming in each research area. The decomposition using meta-DEA showed that, on average, the meta-technical inefficiency of sugarcane farmers was caused mainly by managerial gaps, as the average managerial gap inefficiency (MGI) was more significant than the technological gap inefficiency (TGI). Malang regency showed the largest TGI and MGI, indicating that sugarcane farmers in Malang regency have lower managerial skills for decision-making and a lower level of production technology compared to the other two regions. Based on the findings of this study, the government should improve technological innovation to mitigate the technology gap that was found in our research location.

Suggested Citation

  • Hanani AR, Nuhfil & Asmara, Rosihan & Fahriyah, Fahriyah, 2023. "Technology gap ratio decomposition in sugarcane farming in Indonesia," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 13(01), January.
    • Handle: RePEc:ags:ajosrd:342398
    DOI: 10.22004/ag.econ.342398
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/342398/files/Technology%20gap%20ratio%20decomposition%20in%20sugarcane%20farming%20in%20Indonesia.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.342398?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Carrer, Marcelo José & Filho, Hildo Meirelles de Souza & Vinholis, Marcela de Mello Brandão & Mozambani, Carlos Ivan, 2022. "Precision agriculture adoption and technical efficiency: An analysis of sugarcane farms in Brazil," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    2. Syafrial & Hery Toiba & Moh Shadiqur Rahman & Dwi Retnoningsih, 2021. "The Effects of Improved Cassava Variety Adoption on Farmers’ Technical Efficiency in Indonesia," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society, vol. 11(4), pages 269-278.
    3. Moh Shadiqur Rahman & Novil Dedy Andriatmoko & Moh Saeri & Herman Subagio & Afrizal Malik & Joko Triastono & Renie Oelviani & Juliana C. Kilmanun & Helena da Silva & Marietje Pesireron & Rein Estefanu, 2022. "Climate Disasters and Subjective Well-Being among Urban and Rural Residents in Indonesia," Sustainability, MDPI, vol. 14(6), pages 1-14, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hari Wahyu Wijayanto & Kai-An Lo & Hery Toiba & Moh Shadiqur Rahman, 2022. "Does Agroforestry Adoption Affect Subjective Well-Being? Empirical Evidence from Smallholder Farmers in East Java, Indonesia," Sustainability, MDPI, vol. 14(16), pages 1-10, August.
    2. Uztürk, Deniz & Büyüközkan, Gülçin, 2022. "Smart Agriculture Technology Evaluation: A Linguistic-based MCDM Methodology," Agri-Tech Economics Papers 337128, Harper Adams University, Land, Farm & Agribusiness Management Department.
    3. Uztürk, Deniz & Büyüközkan, Gülçin, 2022. "Smart Agriculture Technology Evaluation: A Linguistic-based MCDM Methodology," Land, Farm & Agribusiness Management Department 337128, Harper Adams University, Land, Farm & Agribusiness Management Department.
    4. Wanglin Ma & Sanghyun Hong & W. Robert Reed & Jianhua Duan & Phong Luu, 2023. "Yield effects of agricultural cooperative membership in developing countries: A meta‐analysis," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 94(3), pages 761-780, September.
    5. Wenyuan Hua & Zhihan Chen & Liangguo Luo, 2022. "The Effect of the Major-Grain-Producing-Areas Oriented Policy on Crop Production: Evidence from China," Land, MDPI, vol. 11(9), pages 1-28, August.
    6. Stefania Troiano & Matteo Carzedda & Francesco Marangon, 2023. "Better richer than environmentally friendly? Describing preferences toward and factors affecting precision agriculture adoption in Italy," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-15, December.
    7. Diro, Samuel & Mohammed, Ali & Getahun, Wudineh & Mamo, Tadele, 2024. "Technical Efficiency of Smallholder Wheat Farmers in Ethiopia: A Panel Data Approach," IAAE 2024 Conference, August 2-7, 2024, New Delhi, India 344277, International Association of Agricultural Economists (IAAE).
    8. Osrof, Hazem Yusuf & Tan, Cheng Ling & Angappa, Gunasekaran & Yeo, Sook Fern & Tan, Kim Hua, 2023. "Adoption of smart farming technologies in field operations: A systematic review and future research agenda," Technology in Society, Elsevier, vol. 75(C).
    9. May Haggag & Eman Rezk & Wael El-Dakhakhni, 2023. "Machine learning prediction of climate-induced disaster injuries," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(3), pages 3645-3667, April.
    10. Campina Illa Prihantini & Nuhfil Hanani & Syafrial & Rosihan Asmara, 2024. "Environmental–Socioeconomic Factors and Technology Adoption: Empirical Evidence from Small-Scale Salt Farmers in Improving Technical Efficiency in the Madurese Coastal Area, East Java, Indonesia," Sustainability, MDPI, vol. 16(14), pages 1-16, July.
    11. Jinjing Ma & Min Lei & Huan Yu & Rui Li, 2023. "A Study on Temporal and Spatial Differences in Women’s Well-Being in an Ecologically Vulnerable Area in Northwest China," Sustainability, MDPI, vol. 15(3), pages 1-24, January.
    12. Konstantina Ragazou & Alexandros Garefalakis & Eleni Zafeiriou & Ioannis Passas, 2022. "Agriculture 5.0: A New Strategic Management Mode for a Cut Cost and an Energy Efficient Agriculture Sector," Energies, MDPI, vol. 15(9), pages 1-17, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:ajosrd:342398. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aesstea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.