IDEAS home Printed from https://ideas.repec.org/a/eee/forpol/v72y2016icp106-114.html
   My bibliography  Save this article

Technical, allocative, and total profit efficiency of loblolly pine forests under changing climatic conditions

Author

Listed:
  • Susaeta, Andres
  • Adams, Damian C.
  • Carter, Douglas R.
  • Gonzalez-Benecke, Carlos
  • Dwivedi, Puneet

Abstract

Forest ecosystem services (ES) provide significant value to society. Without means to adequately capture that value, societal ES values have little influence on landowners' management decisions, leading to inefficiencies in forest-based ES provision. To understand these inefficiencies, we employ data envelopment analysis (DEA) to assess three types of efficiency – technical, allocative and total profit – of planted pine forests using loblolly pine (Pinus taeda L.) in the Southern US as an example. Field data from n=28 plots are used to assess stand-level efficiency in the production of timber, carbon sequestration, and species richness considering inputs such as site index, age and number of trees, precipitation and temperatures. Given the impacts of climate change on key inputs, we also assess efficiency under climate scenarios representing moderate (RCP4.5) and high (RCP8.5) greenhouse gas emissions pathways. We find that 96% of forest plots are technically efficient in providing timber, carbon sequestration and species richness and 75% are allocative or total profit efficient. With climate change, allocative or total profit efficiency remains similar to the initial conditions, and total profit substantially increases (42.8% and 45.6% for RCP4.5 and RCP8.5). These findings highlight the increasingly important role that forests play in providing socially valuable ES.

Suggested Citation

  • Susaeta, Andres & Adams, Damian C. & Carter, Douglas R. & Gonzalez-Benecke, Carlos & Dwivedi, Puneet, 2016. "Technical, allocative, and total profit efficiency of loblolly pine forests under changing climatic conditions," Forest Policy and Economics, Elsevier, vol. 72(C), pages 106-114.
  • Handle: RePEc:eee:forpol:v:72:y:2016:i:c:p:106-114
    DOI: 10.1016/j.forpol.2016.06.021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S138993411630140X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.forpol.2016.06.021?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. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, December.
    2. Sohngen, Brent & Mendelsohn, Robert & Sedjo, Roger A., 2001. "A Global Model Of Climate Change Impacts On Timber Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(2), pages 1-18, December.
    3. Valentina Bosetti & Gianni Locatelli, 2006. "A data envelopment analysis approach to the assessment of natural parks' economic efficiency and sustainability. The case of Italian national parks," Sustainable Development, John Wiley & Sons, Ltd., vol. 14(4), pages 277-286.
    4. Deal, Robert L. & Cochran, Bobby & LaRocco, Gina, 2012. "Bundling of ecosystem services to increase forestland value and enhance sustainable forest management," Forest Policy and Economics, Elsevier, vol. 17(C), pages 69-76.
    5. Marc Hanewinkel & Dominik A. Cullmann & Mart-Jan Schelhaas & Gert-Jan Nabuurs & Niklaus E. Zimmermann, 2013. "Climate change may cause severe loss in the economic value of European forest land," Nature Climate Change, Nature, vol. 3(3), pages 203-207, March.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. William W. Cooper & Lawrence M. Seiford & Joe Zhu, 2011. "Data Envelopment Analysis: History, Models, and Interpretations," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 1-39, Springer.
    8. Nunes, Paulo A. L. D. & van den Bergh, Jeroen C. J. M., 2001. "Economic valuation of biodiversity: sense or nonsense?," Ecological Economics, Elsevier, vol. 39(2), pages 203-222, November.
    9. Andrew Stainback, G. & Alavalapati, Janaki R.R., 2002. "Economic analysis of slash pine forest carbon sequestration in the southern U. S," Journal of Forest Economics, Elsevier, vol. 8(2), pages 105-117.
    10. Matta, Jagannadha & Alavalapati, Janaki & Tanner, George, 2007. "A framework for developing marked-based policies to further biodiversity on non-industrial private forests (NIPF)," Forest Policy and Economics, Elsevier, vol. 9(7), pages 779-788, April.
    11. Hallmann, Fanfan W. & Amacher, Gregory S., 2014. "Uncertain emerging biomass markets, ecosystem services, and optimal land use," Forest Policy and Economics, Elsevier, vol. 47(C), pages 46-56.
    12. Edirisinghe, N.C.P. & Zhang, X., 2010. "Input/output selection in DEA under expert information, with application to financial markets," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1669-1678, December.
    13. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2006. "Introduction to Data Envelopment Analysis and Its Uses," Springer Books, Springer, number 978-0-387-29122-2, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Romualdas Ginevičius & Roman Trishch & Yuriy Bilan & Marcin Lis & Jan Pencik, 2022. "Assessment of the Economic Efficiency of Energy Development in the Industrial Sector of the European Union Area Countries," Energies, MDPI, vol. 15(9), pages 1-12, May.
    2. Susaeta, Andres & Sancewich, Brian & Adams, Damian & Moreno, Paulo C., 2019. "Ecosystem Services Production Efficiency of Longleaf Pine Under Changing Weather Conditions," Ecological Economics, Elsevier, vol. 156(C), pages 24-34.

    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. Aziz KUTLAR & Ali KABASAKAL & Adem BABACAN, 2015. "Dynamic Efficiency of Turkish Banks: a DEA Window and Malmquist Index Analysis for the Period of 2003-2012," Sosyoekonomi Journal, Sosyoekonomi Society, issue 23(24).
    2. Pishchulov, Grigory & Trautrims, Alexander & Chesney, Thomas & Gold, Stefan & Schwab, Leila, 2019. "The Voting Analytic Hierarchy Process revisited: A revised method with application to sustainable supplier selection," International Journal of Production Economics, Elsevier, vol. 211(C), pages 166-179.
    3. Matthias Klumpp & Dominic Loske, 2021. "Sustainability and Resilience Revisited: Impact of Information Technology Disruptions on Empirical Retail Logistics Efficiency," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    4. Samet Güner & Erman Coşkun, 2016. "Determining the best performing benchmarks for transit routes with a multi-objective model: the implementation and a critique of the two-model approach," Public Transport, Springer, vol. 8(2), pages 205-224, September.
    5. Margareta Gardijan & Zrinka Lukač, 2018. "Measuring the relative efficiency of the food and drink industry in the chosen EU countries using the data envelopment analysis with missing data," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(3), pages 695-713, September.
    6. Dapeng Huang & Renhe Zhang & Zhiguo Huo & Fei Mao & Youhao E & Wei Zheng, 2012. "An assessment of multidimensional flood vulnerability at the provincial scale in China based on the DEA method," 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. 64(2), pages 1575-1586, November.
    7. Imanirad, Raha & Cook, Wade D. & Aviles-Sacoto, Sonia Valeria & Zhu, Joe, 2015. "Partial input to output impacts in DEA: The case of DMU-specific impacts," European Journal of Operational Research, Elsevier, vol. 244(3), pages 837-844.
    8. Petridis, Konstantinos & Malesios, Chrisovalantis & Arabatzis, Garyfallos & Thanassoulis, Emmanuel, 2013. "Efficiency analysis of forestry journals: Suggestions for improving journals’ quality," Journal of Informetrics, Elsevier, vol. 7(2), pages 505-521.
    9. Ströhl, Florian & Borsch, Erik & Souren, Rainer, 2018. "Integration von Gewichtsrestriktionen in das DEA-Modell nach Charnes, Cooper und Rhodes: Exemplarische Optionen und Auswirkungen," Ilmenauer Schriften zur Betriebswirtschaftslehre, Technische Universität Ilmenau, Institut für Betriebswirtschaftslehre, volume 3, number 32018.
    10. Shaher Z Zahran & Jobair Bin Alam & Abdulrahem H Al-Zahrani & Yiannis Smirlis & Stratos Papadimitriou & Vangelis Tsioumas, 2017. "Analysis of port authority efficiency using data envelopment analysis," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(3), pages 518-537, August.
    11. Abbas Mardani & Dalia Streimikiene & Tomas Balezentis & Muhamad Zameri Mat Saman & Khalil Md Nor & Seyed Meysam Khoshnava, 2018. "Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends," Energies, MDPI, vol. 11(8), pages 1-21, August.
    12. Muhammad Nisar Khan & Adnan Ahmad & Noor Jehan, 2018. "Pakistani Firms' Efficiency: An Empirical Study of Pakistan Stock Exchange through Data Envelopment Analysis," Global Social Sciences Review, Humanity Only, vol. 3(3), pages 158-174, September.
    13. Jaime Bonet-Morón & Jhorland Ayala-García, 2016. "La brecha fiscal territorial en Colombia," Documentos de trabajo sobre Economía Regional y Urbana 235, Banco de la Republica de Colombia.
    14. Sarmento, Joaquim Miranda & Renneboog, Luc & Verga-Matos, Pedro, 2017. "Measuring highway efficiency : A DEA approach and the Malquist index," Other publications TiSEM 23264815-321e-45a3-83ee-9, Tilburg University, School of Economics and Management.
    15. Eleftherios Kourtis & Michael Kourtis & Panayiotis Curtis & Michael Hanias, 2022. "Sustainable Business Growth, Value Creation and Dynamic Competitive Advantage: The Greek Pharmaceutical Industry," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 46-79.
    16. Javier García-Gudiño & Elena Angón & Isabel Blanco-Penedo & Florence Garcia-Launay & José Perea, 2022. "Targeting Environmental and Technical Parameters through Eco-Efficiency Criteria for Iberian Pig Farms in the dehesa Ecosystem," Agriculture, MDPI, vol. 13(1), pages 1-15, December.
    17. Yang Li & An-Chi Liu & Shu-Mei Wang & Yiting Zhan & Jingran Chen & Hsiao-Fen Hsiao, 2022. "A Study of Total-Factor Energy Efficiency for Regional Sustainable Development in China: An Application of Bootstrapped DEA and Clustering Approach," Energies, MDPI, vol. 15(9), pages 1-13, April.
    18. Nikolaos Oikonomou & Yannis Tountas & Argiris Mariolis & Kyriakos Souliotis & Kostas Athanasakis & John Kyriopoulos, 2016. "Measuring the efficiency of the Greek rural primary health care using a restricted DEA model; the case of southern and western Greece," Health Care Management Science, Springer, vol. 19(4), pages 313-325, December.
    19. Xuming Wang & Xianrui Yu & Xiaobing Yu, 2022. "Flood Disaster Risk Assessment Based on DEA Model in Southeast Asia along “The Belt and Road”," Sustainability, MDPI, vol. 14(20), pages 1-10, October.
    20. Lim, Sungmook & Zhu, Joe, 2013. "Incorporating performance measures with target levels in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 230(3), pages 634-642.

    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:forpol:v:72:y:2016:i:c:p:106-114. 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/forpol .

    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.