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Measuring species concentration, diversification and dependency in a macro-fishery

Author

Listed:
  • Ikerne Valle

    (University of the Basque Country)

  • Kepa Astorkiza

    (University of the Basque Country)

  • Ignacio Díaz-Emparanza

    (University of the Basque Country)

Abstract

This paper studies the triad “concentration, diversification and dominance” in an ecosystem $$(\Omega _{t})$$ ( Ω t ) defined as the macro-fishery comprised by the entire commercial fish species landed in a specific geographical area and time horizon (1986:1–2011:12). This is faced computing alternative monthly concentration indices (CIs) based on the income shares of individual species and, afterwards, analysing the structural features and overall dynamics of the monthly time series related to each of the CIs. Special attention will be paid on categorising not only the long-term cycles, but also the seasonal components found in the series.

Suggested Citation

  • Ikerne Valle & Kepa Astorkiza & Ignacio Díaz-Emparanza, 2017. "Measuring species concentration, diversification and dependency in a macro-fishery," Empirical Economics, Springer, vol. 52(4), pages 1689-1713, June.
  • Handle: RePEc:spr:empeco:v:52:y:2017:i:4:d:10.1007_s00181-016-1102-8
    DOI: 10.1007/s00181-016-1102-8
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    1. Jacquemin, Alexis P & Berry, Charles H, 1979. "Entropy Measure of Diversification and Corporate Growth," Journal of Industrial Economics, Wiley Blackwell, vol. 27(4), pages 359-369, June.
    2. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    3. Joseph Beaulieu, J. & Miron, Jeffrey A., 1993. "Seasonal unit roots in aggregate U.S. data," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 305-328.
    4. Castro, Tomás del Barrio & Osborn, Denise R. & Taylor, A.M. Robert, 2012. "On Augmented Hegy Tests For Seasonal Unit Roots," Econometric Theory, Cambridge University Press, vol. 28(5), pages 1121-1143, October.
    5. Merlin M. Hackbart & Donald A. Anderson, 1975. "On Measuring Economic Diversification," Land Economics, University of Wisconsin Press, vol. 51(4), pages 374-378.
    6. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    7. Barsky, Robert B & Miron, Jeffrey A, 1989. "The Seasonal Cycle and the Business Cycle," Journal of Political Economy, University of Chicago Press, vol. 97(3), pages 503-534, June.
    8. Whitney K. Newey & Kenneth D. West, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 631-653.
    9. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238.
    10. Saviotti, P. P., 1988. "Information, variety and entropy in technoeconomic development," Research Policy, Elsevier, vol. 17(2), pages 89-103, April.
    11. De Bandt, Olivier & Davis, E. Philip, 2000. "Competition, contestability and market structure in European banking sectors on the eve of EMU," Journal of Banking & Finance, Elsevier, vol. 24(6), pages 1045-1066, June.
    12. Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2007. "Efficient tests of the seasonal unit root hypothesis," Journal of Econometrics, Elsevier, vol. 141(2), pages 548-573, December.
    13. Tom�s del Barrio Castro & Denise R. Osborn & A.M. Robert Taylor, 2016. "The Performance of Lag Selection and Detrending Methods for HEGY Seasonal Unit Root Tests," Econometric Reviews, Taylor & Francis Journals, vol. 35(1), pages 122-168, January.
    14. Krishna Palepu, 1985. "Diversification strategy, profit performance and the entropy measure," Strategic Management Journal, Wiley Blackwell, vol. 6(3), pages 239-255, July.
    15. Díaz-Emparanza, Ignacio & Moral, M. Paz, 2014. "Numerical distribution functions for seasonal stability tests," Statistics & Probability Letters, Elsevier, vol. 86(C), pages 44-49.
    16. Taylor, A M Robert, 2003. "Robust Stationarity Tests in Seasonal Time Series Processes," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 156-163, January.
    17. Canova, Fabio & Hansen, Bruce E, 1995. "Are Seasonal Patterns Constant over Time? A Test for Seasonal Stability," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 237-252, July.
    18. Leslie Hannah & J. A. Kay, 1977. "The Measurement of Concentration," Palgrave Macmillan Books, in: Concentration in Modern Industry, chapter 4, pages 41-63, Palgrave Macmillan.
    19. Attaran, Mohsen, 1986. "Industrial Diversity and Economic Performance in U.S. Areas," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 20(2), pages 44-54, July.
    20. Leslie Hannah & J. A. Kay, 1977. "Concentration in Modern Industry," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-349-02773-6, December.
    21. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    22. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
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    More about this item

    Keywords

    Macro-fishery; Concentration index; Time series; Deterministic–stochastic trend; Deterministic–stochastic seasonality; Seasonal unit roots;
    All these keywords.

    JEL classification:

    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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