IDEAS home Printed from https://ideas.repec.org/p/dav/wpaper/20-05.html
   My bibliography  Save this paper

Recreation Demand and Indian Zoos’ Holdings of Protected Birds, Mammals, and Reptiles

Author

Listed:
  • David Martin

    (Department of Economics, Davidson College)

Abstract

The role of Indian zoos in protected endangered species has not been studied sufficiently given the country’s wealth of biodiversity. I examine the extent to which recreation demand influences the percentages of Indian zoo collections of birds, mammals, and reptiles are protected species. I conclude that those percentages decrease as the size of their collections increase, with the already low collections of protected birds being the most affected. However, despite concerns that recreation demand might favor charismatic species over endangered ones, it does appear that recreation demand does not generally reduce the percentages of endangered species that Indian zoos hold. To the contrary, it seems that recreation demand may increase the percentage of protected mammals that Indian zoos hold.

Suggested Citation

  • David Martin, 2020. "Recreation Demand and Indian Zoos’ Holdings of Protected Birds, Mammals, and Reptiles," Working Papers 20-05, Davidson College, Department of Economics.
    • Handle: RePEc:dav:wpaper:20-05
    as

    Download full text from publisher

    File URL: https://repec.dcreate.domains/RePEc/dav/wpaper/AvianMammalReptile.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zeileis, Achim, 2004. "Econometric Computing with HC and HAC Covariance Matrix Estimators," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 11(i10).
    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. Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2020. "Forecasting realized oil-price volatility: The role of financial stress and asymmetric loss," Journal of International Money and Finance, Elsevier, vol. 104(C).
    2. Niels Lundtorp Olsen & Alessia Pini & Simone Vantini, 2021. "False discovery rate for functional data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(3), pages 784-809, September.
    3. Miller, Reid & Golab, Lukasz & Rosenberg, Catherine, 2017. "Modelling weather effects for impact analysis of residential time-of-use electricity pricing," Energy Policy, Elsevier, vol. 105(C), pages 534-546.
    4. Ball, Laurence & Carvalho, Carlos & Evans, Christopher & Antonio Ricci, Luca, 2024. "Weighted Median Inflation Around the World: A Measure of Core Inflation," Journal of International Money and Finance, Elsevier, vol. 142(C).
    5. Stefan Seifert & Christoph Kahle & Silke Hüttel, 2021. "Price Dispersion in Farmland Markets: What Is the Role of Asymmetric Information?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1545-1568, August.
    6. Felix Thoemmes & Wang Liao & Ze Jin, 2017. "The Analysis of the Regression-Discontinuity Design in R," Journal of Educational and Behavioral Statistics, , vol. 42(3), pages 341-360, June.
    7. Sviták, Jan & Tichem, Jan & Haasbeek, Stefan, 2021. "Price effects of search advertising restrictions," International Journal of Industrial Organization, Elsevier, vol. 77(C).
    8. Cheng, Tsung-Chi, 2012. "On simultaneously identifying outliers and heteroscedasticity without specific form," Computational Statistics & Data Analysis, Elsevier, vol. 56(7), pages 2258-2272.
    9. Timo Dimitriadis & Xiaochun Liu & Julie Schnaitmann, 2020. "Encompassing Tests for Value at Risk and Expected Shortfall Multi-Step Forecasts based on Inference on the Boundary," Papers 2009.07341, arXiv.org.
    10. Rita Yi Man Li & Herru Ching Yu Li, 2018. "Have Housing Prices Gone with the Smelly Wind? Big Data Analysis on Landfill in Hong Kong," Sustainability, MDPI, vol. 10(2), pages 1-19, January.
    11. Sunn Bush, Sarah & Cottiero, Christina & Prather, Lauren, 2024. "Zombies Ahead: Explaining the Rise of Low-Quality Election Monitoring," Institute on Global Conflict and Cooperation, Working Paper Series qt2fc2d3pr, Institute on Global Conflict and Cooperation, University of California.
    12. Christopher F. Parmeter, 2018. "Estimation of the two-tiered stochastic frontier model with the scaling property," Journal of Productivity Analysis, Springer, vol. 49(1), pages 37-47, February.
    13. Hasler Mario, 2013. "Multiple Contrasts for Repeated Measures," The International Journal of Biostatistics, De Gruyter, vol. 9(1), pages 49-61, July.
    14. David Winkelmann & Marius Ötting & Christian Deutscher & Tomasz Makarewicz, 2024. "Are Betting Markets Inefficient? Evidence From Simulations and Real Data," Journal of Sports Economics, , vol. 25(1), pages 54-97, January.
    15. Malte Knüppel & Fabian Krüger, 2022. "Forecast uncertainty, disagreement, and the linear pool," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 23-41, January.
    16. Zeileis, Achim & Kleiber, Christian & Jackman, Simon, 2008. "Regression Models for Count Data in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i08).
    17. Zeileis, Achim, 2006. "Implementing a class of structural change tests: An econometric computing approach," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 2987-3008, July.
    18. Mario Hasler, 2016. "Heteroscedasticity: multiple degrees of freedom vs. sandwich estimation," Statistical Papers, Springer, vol. 57(1), pages 55-68, March.
    19. repec:jss:jstsof:42:c01 is not listed on IDEAS
    20. repec:grz:wpsses:2021-03 is not listed on IDEAS
    21. Fabian Dutschkus & Christian Lukas, 2022. "Social Relationships and Group Dynamics within the Supervisory Board and their Influence on CEO Compensation," Schmalenbach Journal of Business Research, Springer, vol. 74(2), pages 163-200, June.
    22. Kleiber Christian & Zeileis Achim, 2010. "The Grunfeld Data at 50," German Economic Review, De Gruyter, vol. 11(4), pages 404-417, December.

    More about this item

    Keywords

    recreation demand; ex situ conservation; endangered species.;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:dav:wpaper:20-05. 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: Dave Martin (email available below). General contact details of provider: https://edirc.repec.org/data/dedavus.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.