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Rodella I, Madau F, Mazzanti M, et al. Data for the analysis of willingness to pay for Italian beaches. Data Brief. 2019;23:103815doi: 10.1016/j.dib.2019.103815.
Rodella, I., Madau, F., Mazzanti, M., Corbau, C., Carboni, D., Utizi, K., & Simeoni, U. (2019). Data for the analysis of willingness to pay for Italian beaches. Data in brief, 23103815. https://doi.org/10.1016/j.dib.2019.103815
Rodella, Ilaria, et al. "Data for the analysis of willingness to pay for Italian beaches." Data in brief vol. 23 (2019): 103815. doi: https://doi.org/10.1016/j.dib.2019.103815
Rodella I, Madau F, Mazzanti M, Corbau C, Carboni D, Utizi K, Simeoni U. Data for the analysis of willingness to pay for Italian beaches. Data Brief. 2019 Mar 07;23:103815. doi: 10.1016/j.dib.2019.103815. eCollection 2019 Apr. PMID: 31372460; PMCID: PMC6661251.
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Data Brief. 2019 Mar 07;23:103815. doi: 10.1016/j.dib.2019.103815. eCollection 2019 Apr.

Data for the analysis of willingness to pay for Italian beaches.

Data in brief

Ilaria Rodella, Fabio Madau, Massimiliano Mazzanti, Corinne Corbau, Donatella Carboni, Kizzi Utizi, Umberto Simeoni

Affiliations

  1. Department of Engineering, Ferrara University, Via Saragat 1, 44122 Ferrara, Italy.
  2. Department of Science for Nature and Environmental Resources, Sassari University, Via Enrico de Nicola 1, 07100 Sassari, Italy.
  3. Department of Economics and Management, Ferrara University, Via Voltapaletto 11, 44121 Ferrara, Italy.
  4. Department of Physics and Earth Sciences, Ferrara University, Via Saragat 1, 44122 Ferrara, Italy.
  5. Department of Human and Social Sciences, Sassari University, Via Roma 151, 07100 Sassari, Italy.

PMID: 31372460 PMCID: PMC6661251 DOI: 10.1016/j.dib.2019.103815

Abstract

The data presented herein relates to the article entitled "Willingness to pay for management and preservation of natural, semi-urban and urban beaches in Italy" [1]. Data of several Italian beaches are collected considering shape, anthropogenic characteristics, use, activity and urbanization levels. Descriptive statistics of beach characteristics and beach users are presented, on the basis of about 5000 interviews.

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