scholarly journals Sun, Sand, and… Sustainability in Developing Countries from a Tourists’ Perspective. The Case of Punta Cana

2020 ◽  
Vol 12 (11) ◽  
pp. 4743 ◽  
Author(s):  
Gianluca Goffi ◽  
Magdalena Cladera ◽  
Linda Osti

Large-scale tourism represents one of the main causes of environmental problems faced by many seaside destinations in developing countries. A survey was carried out among tourists in Punta Cana, the Dominican Republic, one of the most visited coastal destinations worldwide. This study explores whether the destination is meeting tourists’ demand for sustainable practices and whether the sustainable initiatives implemented, as perceived by tourists, have a role in explaining tourists’ satisfaction. An importance-performance analysis and a principal component analysis, followed by an ordered logit model, were performed. Findings show that tourists’ expectations in terms of sustainability are not adequately met and that environmental and socioeconomic sustainability are positively associated with tourists’ satisfaction.

Entropy ◽  
2019 ◽  
Vol 21 (6) ◽  
pp. 548 ◽  
Author(s):  
Yuqing Sun ◽  
Jun Niu

Hydrological regionalization is a useful step in hydrological modeling and prediction. The regionalization is not always straightforward, however, due to the lack of long-term hydrological data and the complex multi-scale variability features embedded in the data. This study examines the multiscale soil moisture variability for the simulated data on a grid cell base obtained from a large-scale hydrological model, and clusters the grid-cell based soil moisture data using wavelet-based multiscale entropy and principal component analysis, over the Xijiang River basin in South China, for the period of 2002–2010. The effective regionalization, for 169 grid cells with the special resolution of 0.5° × 0.5°, produced homogeneous groups based on the pattern of wavelet-based entropy information. Four distinct modes explain 80.14% of the total embedded variability of the transformed wavelet power across different timescales. Moreover, the possible implications of the regionalization results for local hydrological applications, such as parameter estimation for an ungagged catchment and designing a uniform prediction strategy for a sub-area in a large-scale basin, are discussed.


Sign in / Sign up

Export Citation Format

Share Document