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Technical efficiency and farmland expansion: Evidence from oil palm smallholders in Indonesia

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  • Bernhard Dalheimer
  • Christoph Kubitza
  • Bernhard Brümmer

Abstract

This study asks whether innovation in smallholder production reduces or accelerates land expansion. Even though innovation in agriculture has reduced land expansion globally, rebound effects can occur locally and often at the expense of vital ecosystem functions. In contrast to other studies that investigate rebound effects in response to technological innovation, our study focuses on technical efficiency, the remaining component of total factor productivity. We use a short panel dataset from smallholder oil palm farmers in Sumatra, Indonesia, and develop a two‐stage approach in which we estimate technical efficiency and determine its land expansion effect. Our findings suggest that technical efficiency and in particular land efficiency are low, indicating that 50% of the currently cultivated land could be spared. However, the land‐sparing effect of increasing technical efficiency is at risk of being offset by about half due to a rebound effect. To maximize the conservation potential from increasing smallholder efficiency, policies need to simultaneously incentivize well‐functioning land markets and stricter protection measures for land with high ecological value to mitigate local rebound effects.

Suggested Citation

  • Bernhard Dalheimer & Christoph Kubitza & Bernhard Brümmer, 2022. "Technical efficiency and farmland expansion: Evidence from oil palm smallholders in Indonesia," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(4), pages 1364-1387, August.
    • Handle: RePEc:wly:ajagec:v:104:y:2022:i:4:p:1364-1387
    DOI: 10.1111/ajae.12267
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    1. Chrisendo, Daniel & Krishna, Vijesh V. & Siregar, Hermanto & Qaim, Matin, 2020. "Land-use change, nutrition, and gender roles in Indonesian farm households," Forest Policy and Economics, Elsevier, vol. 118(C).
    2. Kubitza, Christoph & Krishna, Vijesh V. & Urban, Kira & Alamsyah, Zulkifli & Qaim, Matin, 2018. "Land Property Rights, Agricultural Intensification, and Deforestation in Indonesia," Ecological Economics, Elsevier, vol. 147(C), pages 312-321.
    3. William Robert Reed, 2015. "On the Practice of Lagging Variables to Avoid Simultaneity," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(6), pages 897-905, December.
    4. Marchand, Sébastien, 2012. "The relationship between technical efficiency in agriculture and deforestation in the Brazilian Amazon," Ecological Economics, Elsevier, vol. 77(C), pages 166-175.
    5. Nelson B. Villoria & Derek Byerlee & James Stevenson, 2014. "The Effects of Agricultural Technological Progress on Deforestation: What Do We Really Know?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 36(2), pages 211-237.
    6. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    7. Marion Desquilbet & Bruno Dorin & Denis Couvet, 2017. "Land Sharing vs Land Sparing to Conserve Biodiversity: How Agricultural Markets Make the Difference," Post-Print hal-01684020, HAL.
    8. Robin C. Sickles & William C. Horrace (ed.), 2014. "Festschrift in Honor of Peter Schmidt," Springer Books, Springer, edition 127, number 978-1-4899-8008-3, December.
    9. Tran, Kien C. & Tsionas, Efthymios G., 2015. "Endogeneity in stochastic frontier models: Copula approach without external instruments," Economics Letters, Elsevier, vol. 133(C), pages 85-88.
    10. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    11. Krishna, Vijesh V. & Kubitza, Christoph & Pascual, Unai & Qaim, Matin, 2017. "Land markets, Property rights, and Deforestation: Insights from Indonesia," World Development, Elsevier, vol. 99(C), pages 335-349.
    12. David U. Hooper & E. Carol Adair & Bradley J. Cardinale & Jarrett E. K. Byrnes & Bruce A. Hungate & Kristin L. Matulich & Andrew Gonzalez & J. Emmett Duffy & Lars Gamfeldt & Mary I. O’Connor, 2012. "A global synthesis reveals biodiversity loss as a major driver of ecosystem change," Nature, Nature, vol. 486(7401), pages 105-108, June.
    13. Wiebe, Keith D. & Sulser, Timothy & Pacheco, Pablo & De Pinto, Alessandro & Mason d'Croz, Daniel & Dermawan, Ahmad & Thomas, Timothy S. & Li, Man & Robinson, Sherman & Dunston, Shahnila, 2019. "The palm oil dilemma: Policy tensions among higher productivity, rising demand, and deforestation," Policy briefs 9780896296879, International Food Policy Research Institute (IFPRI).
    14. Nelson B Villoria, 2019. "Technology Spillovers and Land Use Change: Empirical Evidence from Global Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(3), pages 870-893.
    15. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    16. Abman, Ryan & Carney, Conor, 2020. "Agricultural productivity and deforestation: Evidence from input subsidies and ethnic favoritism in Malawi," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    17. Payal Shah & Amy W. Ando, 2016. "Permanent and Temporary Policy Incentives for Conservation under Stochastic Returns from Competing Land Uses," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(4), pages 1074-1094.
    18. Subal Kumbhakar & Efthymios Tsionas & Timo Sipiläinen, 2009. "Joint estimation of technology choice and technical efficiency: an application to organic and conventional dairy farming," Journal of Productivity Analysis, Springer, vol. 31(3), pages 151-161, June.
    19. Marion Desquilbet & Bruno Dorin & Denis Couvet, 2016. "Land Sharing vs Land Sparing to Conserve Biodiversity: How Agricultural Markets Make the Difference [land-sharing/land-sparing, comment les marchés font la différence]," Post-Print hal-03948463, HAL.
    20. Haoyang Li & Jinhua Zhao, 2018. "Rebound Effects of New Irrigation Technologies: The Role of Water Rights," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(3), pages 786-808.
    21. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    22. B. Brorsen & Taeyoon Kim, 2013. "Data aggregation in stochastic frontier models: the closed skew normal distribution," Journal of Productivity Analysis, Springer, vol. 39(1), pages 27-34, February.
    23. 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.
    24. Stijn Reinhard & C.A. Knox Lovell & Geert Thijssen, 1999. "Econometric Estimation of Technical and Environmental Efficiency: An Application to Dutch Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 44-60.
    25. Daniel Chrisendo & Hermanto Siregar & Matin Qaim, 2021. "Oil palm and structural transformation of agriculture in Indonesia," Agricultural Economics, International Association of Agricultural Economists, vol. 52(5), pages 849-862, September.
    26. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2019. "A time-varying true individual effects model with endogenous regressors," Journal of Econometrics, Elsevier, vol. 211(2), pages 539-559.
    27. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    28. Jelsma, Idsert & Schoneveld, G.C. & Zoomers, Annelies & van Westen, A.C.M., 2017. "Unpacking Indonesia’s independent oil palm smallholders: An actor-disaggregated approach to identifying environmental and social performance challenges," Land Use Policy, Elsevier, vol. 69(C), pages 281-297.
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    2. Alulu, Joseph & Muendo, Kavoi & Mbeche, Robert & Mithöfer, Dagmar, 2024. "Seed innovations and performance of African indigenous vegetables producers: Evidence from Kenya," IAAE 2024 Conference, August 2-7, 2024, New Delhi, India 344235, International Association of Agricultural Economists (IAAE).

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