IDEAS home Printed from https://ideas.repec.org/p/ags/aaea15/205561.html
   My bibliography  Save this paper

Evaluating the Effects of River and Stream Restorations

Author

Listed:
  • Baggio, Michele
  • Towe, Charles

Abstract

This research is the first analysis of a large and long term study of stream restoration activity for Switzerland. This manuscript focuses on the largest Swiss canton of Graubünden (about twice the size of Rhode Island) which is primarily mountainous and rural in character and is a destination for recreational fishing. It contains 11,000 km of streams and over 600 lakes and ponds. Despite stocking efforts, trout catches in Switzerland have declined by as much as 50% since the 1980s potentially due to deteriorated ecological conditions although no single causative factor was identified. In canton Graubünden we observe a reduction in the number of anglers since 2002 though fishing intensity and catch per trip remain stable over time. We utilize the stream data to first establish the relationship between restoration events and trip-level catch totals by species and size. Our preliminary results suggest that the impact of the restoration on the downstream reaches include an increase in the size of the catch by 0.25 cm, an impact on the probability of a catch of 5% both statistically significant

Suggested Citation

  • Baggio, Michele & Towe, Charles, 2015. "Evaluating the Effects of River and Stream Restorations," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205561, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea15:205561
    DOI: 10.22004/ag.econ.205561
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/205561/files/BaggioTowe_Restoration_R.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.205561?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. Ferraro, Paul J. & Miranda, Juan José, 2014. "The performance of non-experimental designs in the evaluation of environmental programs: A design-replication study using a large-scale randomized experiment as a benchmark," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 344-365.
    2. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    3. Paul J. Ferraro & Juan José Miranda, 2017. "Panel Data Designs and Estimators as Substitutes for Randomized Controlled Trials in the Evaluation of Public Programs," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(1), pages 281-317.
    4. Holmlund, Cecilia M. & Hammer, Monica, 1999. "Ecosystem services generated by fish populations," Ecological Economics, Elsevier, vol. 29(2), pages 253-268, May.
    5. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    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. Baggio, Michele & Towe, Charles, 2016. "Evaluating the Effects of Stream Restorations," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235679, Agricultural and Applied Economics Association.
    2. Brett R. Gordon & Florian Zettelmeyer & Neha Bhargava & Dan Chapsky, 2019. "A Comparison of Approaches to Advertising Measurement: Evidence from Big Field Experiments at Facebook," Marketing Science, INFORMS, vol. 38(2), pages 193-225, March.
    3. Dede Long & David Lewis & Christian Langpap, 2021. "Negative Traffic Externalities and Infant Health: The Role of Income Heterogeneity and Residential Sorting," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(3), pages 637-674, November.
    4. Vivian C. Wong & Peter M. Steiner & Kylie L. Anglin, 2018. "What Can Be Learned From Empirical Evaluations of Nonexperimental Methods?," Evaluation Review, , vol. 42(2), pages 147-175, April.
    5. Ellison, Richard B. & Ellison, Adrian B. & Greaves, Stephen P. & Sampaio, Breno, 2017. "Electronic ticketing systems as a mechanism for travel behaviour change? Evidence from Sydney’s Opal card," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 80-93.
    6. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    7. Jeffrey Smith, 2000. "A Critical Survey of Empirical Methods for Evaluating Active Labor Market Policies," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 136(III), pages 247-268, September.
    8. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
    9. Richard Disney & Eleonora Fischera & Trudy Owens, 2010. "Has the Introduction of Microfinance Crowded-out Informal Loans in Malawi?," Discussion Papers 10/08, University of Nottingham, CREDIT.
    10. Kube, Roland & von Graevenitz, Kathrine & Löschel, Andreas & Massier, Philipp, 2019. "Do voluntary environmental programs reduce emissions? EMAS in the German manufacturing sector," Energy Economics, Elsevier, vol. 84(S1).
    11. Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2022. "Covariate distribution balance via propensity scores," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1093-1120, September.
    12. Iacus, Stefano M. & Porro, Giuseppe, 2007. "Missing data imputation, matching and other applications of random recursive partitioning," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 773-789, October.
    13. Slottje, Daniel J. & Millimet, Daniel L. & Buchanan, Michael J., 2007. "Econometric analysis of copyrights," Journal of Econometrics, Elsevier, vol. 139(2), pages 303-317, August.
    14. Hämäläinen, Kari & Ollikainen, Virve, 2004. "Differential Effects of Active Labour Market Programmes in the Early Stages of Young People's Unemployment," Research Reports 115, VATT Institute for Economic Research.
    15. Lin, Jenny X. & Lincoln, William F., 2017. "Pirate's treasure," Journal of International Economics, Elsevier, vol. 109(C), pages 235-245.
    16. Chabé-Ferret, Sylvain, 2017. "Should We Combine Difference In Differences with Conditioning on Pre-Treatment Outcomes?," TSE Working Papers 17-824, Toulouse School of Economics (TSE).
    17. Fatema, Naureen, 2019. "Can land title reduce low-intensity interhousehold conflict incidences and associated damages in eastern DRC?," World Development, Elsevier, vol. 123(C), pages 1-1.
    18. Cadot, Olivier & Fernandes, Ana M. & Gourdon, Julien & Mattoo, Aaditya, 2015. "Are the benefits of export support durable? Evidence from Tunisia," Journal of International Economics, Elsevier, vol. 97(2), pages 310-324.
    19. Ggombe Kasim Munyegera & Akampumuza Precious, 2018. "The gender gap in firm productivity in Rwanda: Evidence from establishment and household enterprise data," WIDER Working Paper Series wp-2018-100, World Institute for Development Economic Research (UNU-WIDER).
    20. Malcolm Keswell & Michael R. Carter, 2011. "Poverty and Land Distribution: Evidence from a Natural Experiment," WIDER Working Paper Series wp-2011-046, World Institute for Development Economic Research (UNU-WIDER).

    More about this item

    Keywords

    Environmental Economics and Policy; Research Methods/ Statistical Methods;

    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:ags:aaea15:205561. 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/aaeaaea.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.