Different tourists to different destinations. Evidence from spatial interaction models

By Emanuela Marrocu, Raffaele Paci. 2013

252 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/2e015320f723c6df9c5abc7e2f8f5ce7497db5cd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. D. Wu
2. Shujie Shen
3. Haiyan Song
4. Gang Li
5. Stephen F. Witt
6. Kevin K. F. Wong
7. G. Crouch
8. Bo Peng

In Sociology and Political Science

1. D. Wu
2. Shujie Shen
3. Haiyan Song
4. Gang Li
5. G. Crouch
6. Stephen F. Witt
7. Bo Peng
8. E. Smeral

Citations in the corpus

• New developments in tourism and hotel demand modeling and forecasting (2017, background): “Although gravity models have been applied in tourism and hotel demand analysis to measure the effect of distance between an origin and a destination on tourism flows, this technique assumes independence among tourist flows once the effect of distance is controlled for (Marrocu and Paci, 2013).”