IDEAS home Printed from https://ideas.repec.org/p/ags/iaae06/25450.html
   My bibliography  Save this paper

Household's Choice of Fuelwood Source in Malawi: A Multinomial Probit Analysis

Author

Listed:
  • Jumbe, Charles B.L.
  • Angelsen, Arild

Abstract

This paper addresses the following question: What determines household's choice of fuelwood collection source? We address this question by estimating the multinomial probit model using survey data for households surrounding Chimaliro and Liwonde forest reserves in Malawi. After controlling for heterogeneity among households, we find strong substitution across fuelwood sources. Attributes of the fuelwood sources (size and species composition) and distance to them are the most important determinants of fuelwood choice. Further results show that customary forests generate environmental benefits by reducing pressure on both plantation forests and forest reserves. These findings support the need to focus more on community forests in national forest policies, and to strengthen community-based institutions to manage these forests.

Suggested Citation

  • Jumbe, Charles B.L. & Angelsen, Arild, 2006. "Household's Choice of Fuelwood Source in Malawi: A Multinomial Probit Analysis," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25450, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae06:25450
    DOI: 10.22004/ag.econ.25450
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/25450/files/cp061095.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.25450?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. Hausman, Jerry A & Wise, David A, 1978. "A Conditional Probit Model for Qualitative Choice: Discrete Decisions Recognizing Interdependence and Heterogeneous Preferences," Econometrica, Econometric Society, vol. 46(2), pages 403-426, March.
    2. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, November.
    3. Charles Blessings Laurence Jumbe & Arild Angelsen, 2006. "Do the Poor Benefit from Devolution Policies? Evidence from Malawi’s Forest Co-Management Program," Land Economics, University of Wisconsin Press, vol. 82(4), pages 562-581.
    4. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    5. Heltberg, Rasmus, 2005. "Factors determining household fuel choice in Guatemala," Environment and Development Economics, Cambridge University Press, vol. 10(3), pages 337-361, June.
    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. Abebe Beyene & Steven F. Koch, 2011. "Property rights, institutions and source of fuel wood in rural Ethiopia," Working Papers 245, Economic Research Southern Africa.
    2. Fydess Khundi-Mkomba, 2021. "Are Urban Rwandan Households using Modern Energy Sources? An Exploration of Cooking Fuel Choices," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 325-332.
    3. Beyene, Abebe Damte, 2010. "Property Rights and Choice of Fuel Wood Sources in Rural Ethiopia," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 96171, African Association of Agricultural Economists (AAAE).

    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. Jumbe, Charles B.L. & Angelsen, Arild, 2011. "Modeling choice of fuelwood source among rural households in Malawi: A multinomial probit analysis," Energy Economics, Elsevier, vol. 33(5), pages 732-738, September.
    2. Schleich, Joachim & Faure, Corinne & Guetlein, Marie-Charlotte & Tu, Gengyang, 2020. "Conveyance, envy, and homeowner choice of appliances," Energy Economics, Elsevier, vol. 89(C).
    3. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    4. Erik Stam & Roy Thurik & Peter van der Zwan, 2010. "Entrepreneurial exit in real and imagined markets," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 19(4), pages 1109-1139, August.
    5. Frick, Bernd & Barros, Carlos Pestana & Prinz, Joachim, 2010. "Analysing head coach dismissals in the German "Bundesliga" with a mixed logit approach," European Journal of Operational Research, Elsevier, vol. 200(1), pages 151-159, January.
    6. Román, Concepción & Martín, Juan Carlos, 2014. "Integration of HSR and air transport: Understanding passengers’ preferences," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 129-141.
    7. Steven T. Berry & Philip A. Haile, 2021. "Foundations of Demand Estimation," Cowles Foundation Discussion Papers 2301, Cowles Foundation for Research in Economics, Yale University.
    8. Villas-Boas, Sofia B & Taylor, Rebecca & Krovetz, Hannah, 2016. "Willingness to Pay for Low Water Footprint Food Choices During Drought," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9vh3x180, Department of Agricultural & Resource Economics, UC Berkeley.
    9. Ju-Hee Kim & Younggew Kim & Seung-Hoon Yoo, 2021. "Using a choice experiment to explore the public willingness to pay for the impacts of improving energy efficiency of an apartment," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(5), pages 1775-1793, October.
    10. Juan Carlos Martín & Concepción Román & Cira Mendoza, 2018. "Determinants for sun-and-beach self-catering accommodation selection," Tourism Economics, , vol. 24(3), pages 319-336, May.
    11. Deka, Devajyoti & Carnegie, Jon, 2021. "Predicting transit mode choice of New Jersey workers commuting to New York City from a stated preference survey," Journal of Transport Geography, Elsevier, vol. 91(C).
    12. Batarce, Marco & Muñoz, Juan Carlos & Ortúzar, Juan de Dios, 2016. "Valuing crowding in public transport: Implications for cost-benefit analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 358-378.
    13. Useche, Pilar & Barham, Bradford & Foltz, Jeremy, 2006. "A Trait Specific Model of GM Crop Adoption by Minnesota and Wisconsin Corn Farmers," Working Papers 201525, University of Wisconsin-Madison, Department of Agricultural and Applied Economics, Food System Research Group.
    14. Kaplan, Sigal & Shiftan, Yoram & Bekhor, Shlomo, 2012. "Development and estimation of a semi-compensatory model with a flexible error structure," Transportation Research Part B: Methodological, Elsevier, vol. 46(2), pages 291-304.
    15. Rolf Aaberge & Ugo Colombino, 2014. "Labour Supply Models," Contributions to Economic Analysis, in: Handbook of Microsimulation Modelling, volume 127, pages 167-221, Emerald Group Publishing Limited.
    16. Larranaga, Ana Margarita & Arellana, Julian & Senna, Luiz Afonso, 2017. "Encouraging intermodality: A stated preference analysis of freight mode choice in Rio Grande do Sul," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 202-211.
    17. Villas-Boas, Sofia B & Copfer, Jackie & Campbell, Nica, 2021. "Preferences for Sustainability and Supply Chain Essential Worker Conditions: Survey Evidence during COVID-19," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt0nv2n39w, Department of Agricultural & Resource Economics, UC Berkeley.
    18. Marchal, Léa & Naiditch, Claire, 2016. "A micro-funded theory of multilateral resistance to migration," Kiel Working Papers 2051, Kiel Institute for the World Economy (IfW Kiel).
    19. Fredrik Carlsson & Mitesh Kataria, 2008. "Assessing Management Options for Weed Control with Demanders and Non-Demanders in a Choice Experiment," Land Economics, University of Wisconsin Press, vol. 84(3), pages 517-528.
    20. Peter Davis & Pasquale Schiraldi, 2014. "The flexible coefficient multinomial logit (FC-MNL) model of demand for differentiated products," RAND Journal of Economics, RAND Corporation, vol. 45(1), pages 32-63, March.

    More about this item

    Keywords

    Resource/Energy Economics and Policy;

    Statistics

    Access and download statistics

    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:iaae06:25450. 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/iaaeeea.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.