IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v210y2023ics0308521x23001348.html
   My bibliography  Save this article

Too little, too imbalanced: Nutrient supply in smallholder oil palm fields in Indonesia

Author

Listed:
  • Lim, Ya Li
  • Tenorio, Fatima A.
  • Monzon, Juan P.
  • Sugianto, Hendra
  • Donough, Christopher R.
  • Rahutomo, Suroso
  • Agus, Fahmuddin
  • Slingerland, Maja A.
  • Darlan, Nuzul H.
  • Dwiyahreni, Asri A.
  • Farrasati, Rana
  • Mahmudah, Nurul
  • Muhamad, Tohirin
  • Nurdwiansyah, Denni
  • Palupi, Sandri
  • Pradiko, Iput
  • Saleh, Shofia
  • Syarovy, Muhdan
  • Wiratmoko, Dhimas
  • Grassini, Patricio

Abstract

Smallholders account for ca. 40% of oil palm area in Indonesia but average yield remains low. Despite higher overall fertilizer use in Indonesia compared with other Southeast Asian countries, poor plant nutrition has been identified as a major factor explaining yield gaps in smallholder oil palm fields and little is known about the underlying management drivers.

Suggested Citation

  • Lim, Ya Li & Tenorio, Fatima A. & Monzon, Juan P. & Sugianto, Hendra & Donough, Christopher R. & Rahutomo, Suroso & Agus, Fahmuddin & Slingerland, Maja A. & Darlan, Nuzul H. & Dwiyahreni, Asri A. & Fa, 2023. "Too little, too imbalanced: Nutrient supply in smallholder oil palm fields in Indonesia," Agricultural Systems, Elsevier, vol. 210(C).
  • Handle: RePEc:eee:agisys:v:210:y:2023:i:c:s0308521x23001348
    DOI: 10.1016/j.agsy.2023.103729
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X23001348
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agsy.2023.103729?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fitri Nurfatriani & Ramawati & Galih Kartika Sari & Heru Komarudin, 2019. "Optimization of Crude Palm Oil Fund to Support Smallholder Oil Palm Replanting in Reducing Deforestation in Indonesia," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
    2. Hoffmann, M.P. & Castaneda Vera, A. & van Wijk, M.T. & Giller, K.E. & Oberthür, T. & Donough, C. & Whitbread, A.M., 2014. "Simulating potential growth and yield of oil palm (Elaeis guineensis) with PALMSIM: Model description, evaluation and application," Agricultural Systems, Elsevier, vol. 131(C), pages 1-10.
    3. de Vos, Rosanne E. & Suwarno, Aritta & Slingerland, Maja & van der Meer, Peter J. & Lucey, Jennifer M., 2023. "Pre-certification conditions of independent oil palm smallholders in Indonesia. Assessing prospects for RSPO certification," Land Use Policy, Elsevier, vol. 130(C).
    4. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    5. Euler, Michael & Hoffmann, Munir P. & Fathoni, Zakky & Schwarze, Stefan, 2016. "Exploring yield gaps in smallholder oil palm production systems in eastern Sumatra, Indonesia," Agricultural Systems, Elsevier, vol. 146(C), pages 111-119.
    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. Eusebius Pantja Pramudya & Lukas Rumboko Wibowo & Fitri Nurfatriani & Iman Kasiman Nawireja & Dewi Ratna Kurniasari & Sakti Hutabarat & Yohanes Berenika Kadarusman & Ananda Oemi Iswardhani & Rukaiyah , 2022. "Incentives for Palm Oil Smallholders in Mandatory Certification in Indonesia," Land, MDPI, vol. 11(4), pages 1-28, April.
    2. Ahmed Zainul Abideen & Veera Pandiyan Kaliani Sundram & Shahryar Sorooshian, 2023. "Scope for Sustainable Development of Small Holder Farmers in the Palm Oil Supply Chain—A Systematic Literature Review and Thematic Scientific Mapping," Logistics, MDPI, vol. 7(1), pages 1-24, January.
    3. Petri, Heinrich & Hendrawan, Dienda & Bähr, Tobias & Asnawi, Rosyani & Mußhoff, Oliver & Wollni, Meike & Faust, Heiko, 2022. "The challenges Indonesian oil palm smallholders face when replanting becomes necessary, and how they can be supported: A review," EFForTS Discussion Paper Series 36, University of Goettingen, Collaborative Research Centre 990 "EFForTS, Ecological and Socioeconomic Functions of Tropical Lowland Rainforest Transformation Systems (Sumatra, Indonesia)".
    4. Hoffmann, M.P. & Donough, C.R. & Cook, S.E. & Fisher, M.J. & Lim, C.H. & Lim, Y.L. & Cock, J. & Kam, S.P. & Mohanaraj, S.N. & Indrasuara, K. & Tittinutchanon, P. & Oberthür, T., 2017. "Yield gap analysis in oil palm: Framework development and application in commercial operations in Southeast Asia," Agricultural Systems, Elsevier, vol. 151(C), pages 12-19.
    5. Rhebergen, Tiemen & Fairhurst, Thomas & Whitbread, Anthony & Giller, Ken E. & Zingore, Shamie, 2018. "Yield gap analysis and entry points for improving productivity on large oil palm plantations and smallholder farms in Ghana," Agricultural Systems, Elsevier, vol. 165(C), pages 14-25.
    6. Monzon, Juan Pablo & Lim, Ya Li & Tenorio, Fatima A. & Farrasati, Rana & Pradiko, Iput & Sugianto, Hendra & Donough, Christopher R. & Rattalino Edreira, Juan I. & Rahutomo, Suroso & Agus, Fahmuddin & , 2023. "Agronomy explains large yield gaps in smallholder oil palm fields," Agricultural Systems, Elsevier, vol. 210(C).
    7. Akosah, Nana Kwame & Alagidede, Imhotep Paul & Schaling, Eric, 2020. "Testing for asymmetry in monetary policy rule for small-open developing economies: Multiscale Bayesian quantile evidence from Ghana," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    8. Molyneux, Philip & Pancotto, Livia & Reghezza, Alessio & Rodriguez d'Acri, Costanza, 2022. "Interest rate risk and monetary policy normalisation in the euro area," Journal of International Money and Finance, Elsevier, vol. 124(C).
    9. Paul Hewson & Keming Yu, 2008. "Quantile regression for binary performance indicators," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 401-418, September.
    10. Georgios Bertsatos & Plutarchos Sakellaris & Mike G. Tsionas, 2022. "Extensions of the Pesaran, Shin and Smith (2001) bounds testing procedure," Empirical Economics, Springer, vol. 62(2), pages 605-634, February.
    11. Salimata Sissoko, 2011. "Working Paper 03-11 - Niveau de décentralisation de la négociation et structure des salaires," Working Papers 1103, Federal Planning Bureau, Belgium.
    12. Korom, Philipp, 2016. "Inherited advantage: The importance of inheritance for private wealth accumulation in Europe," MPIfG Discussion Paper 16/11, Max Planck Institute for the Study of Societies.
    13. Daniele, Vittorio, 2007. "Criminalità e investimenti esteri. Un’analisi per le province italiane [The effect of organized crime on Foreign Investments. An Empirical Analysis for the Italian Provinces]," MPRA Paper 6417, University Library of Munich, Germany.
    14. Ma, Lingjie & Koenker, Roger, 2006. "Quantile regression methods for recursive structural equation models," Journal of Econometrics, Elsevier, vol. 134(2), pages 471-506, October.
    15. Cuesta, Lizeth & Ruiz, Yomara, 2021. "Efecto de la globalización sobre la desigualdad. Un estudio global para 104 países usando regresiones cuantílicas [Effect of globalization on inequality. A global study for 104 countries using quan," MPRA Paper 111022, University Library of Munich, Germany.
    16. Dutta, Anupam & Bouri, Elie & Rothovius, Timo & Uddin, Gazi Salah, 2023. "Climate risk and green investments: New evidence," Energy, Elsevier, vol. 265(C).
    17. Cowling, Marc & Ughetto, Elisa & Lee, Neil, 2018. "The innovation debt penalty: Cost of debt, loan default, and the effects of a public loan guarantee on high-tech firms," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 166-176.
    18. Guili Liao & Qimeng Liu & Rongmao Zhang & Shifang Zhang, 2022. "Rank test of unit‐root hypothesis with AR‐GARCH errors," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(5), pages 695-719, September.
    19. Shweta Bahl & Ajay Sharma, 2021. "Education–Occupation Mismatch and Dispersion in Returns to Education: Evidence from India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(1), pages 251-298, January.
    20. Nguyen, Thao & Bai, Min & Hou, Greg & Vu, Manh-Chien, 2020. "State ownership and adjustment speed toward target leverage: Evidence from a transitional economy," Research in International Business and Finance, Elsevier, vol. 53(C).

    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:eee:agisys:v:210:y:2023:i:c:s0308521x23001348. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    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.