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Determinants of performance for agritourism farms: an alternative approach

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  • Wei-Ting Hung
  • Hsiu-Yin Ding
  • Sen-Tyan Lin

Abstract

Previous studies on determinants of agritourism farm performance are inconclusive. Moreover, the key success factors of high and low performance may differ. Differing from previous studies, this study applies quantile regression to identify the determinants of agritourism farm performance in different categories based on Taiwanese agritourism farms census data. The results indicate that large farms perform well for those in the high-performance categories. The quantity and quality of human resources are key success factors for mid- and high-performance farms. Additionally, agritourism business model generally plays a critical role in determining performance.

Suggested Citation

  • Wei-Ting Hung & Hsiu-Yin Ding & Sen-Tyan Lin, 2016. "Determinants of performance for agritourism farms: an alternative approach," Current Issues in Tourism, Taylor & Francis Journals, vol. 19(13), pages 1281-1287, November.
    • Handle: RePEc:taf:rcitxx:v:19:y:2016:i:13:p:1281-1287
    DOI: 10.1080/13683500.2015.1037254
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    Cited by:

    1. Geyao Yang & Changchun Zhou & Jiekuan Zhang, 2023. "Does industry convergence between agriculture and related sectors alleviate rural poverty: evidence from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(11), pages 12887-12914, November.

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