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Measuring Companion Animal Welfare Resilience Across Countries: Construction and Validation of the Companion Animal Welfare Resilience Index (CWRI)

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  • Kim, Minjung
  • Yoo, Do-il

Abstract

This study constructs the Companion Animal Welfare Resilience Index (CWRI), a composite index measuring the structural capacity of national companion animal welfare systems to withstand and recover from external shocks, including economic downturns, natural disasters, disease outbreaks, and demographic shifts. Using 26 indicators organized across four sectors (Institutional Capacity, Service Infrastructure, Economic Capacity, and Vulnerability) for 28 countries, the index is constructed via Shannon entropy weighting applied to min-max normalized indicators. The resulting index places Australia first (CWRI = 100), followed by Denmark (82.8), France (78.7), and Sweden (77.5). Sensitivity analysis confirms that rankings are robust to alternative weighting schemes (Spearman ρ ≥ 0.849 across all specifications). To assess construct validity, regression analysis using the MARS State of Pet Homelessness Project (N = 16) confirms a statistically significant negative association between CWRI scores and companion animal homelessness rates. For comparative context, the widely cited WAP Animal Protection Index fails to reach statistical significance under the identical specification (p = 0.243), highlighting the added explanatory value of the CWRI's infrastructure and resilience framing. Exploratory sectorlevel analysis identifies Economic Capacity as the primary structural determinant of welfare outcomes, with the strongest specification explaining 72.1% of the cross-national variation in homelessness rates (𝑅2 = 0.721).

Suggested Citation

  • Kim, Minjung & Yoo, Do-il, 2026. "Measuring Companion Animal Welfare Resilience Across Countries: Construction and Validation of the Companion Animal Welfare Resilience Index (CWRI)," 2026 Annual Meeting, July 26 - 28, 2026, Kansas City, Missouri 404730, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea26:404730
    DOI: 10.22004/ag.econ.404730
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    References listed on IDEAS

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    1. M. Saisana & A. Saltelli & S. Tarantola, 2005. "Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 307-323, March.
    2. Meuwissen, Miranda P.M. & Feindt, Peter H. & Spiegel, Alisa & Termeer, Catrien J.A.M. & Mathijs, Erik & Mey, Yann de & Finger, Robert & Balmann, Alfons & Wauters, Erwin & Urquhart, Julie & Vigani, Mau, 2019. "A framework to assess the resilience of farming systems," Agricultural Systems, Elsevier, vol. 176(C).
    3. MacKinnon, James G. & White, Halbert, 1985. "Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties," Journal of Econometrics, Elsevier, vol. 29(3), pages 305-325, September.
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