Factors influencing the contribution of each individual input to productivity growth in the Spanish hotel industry

This paper investigates the contribution of each individual input to total factor productivity change, distinguishing between technical and efficiency change, for a sample of Spanish hotels for the period 1997-2019. To do so, we apply the non-radial and non-parametric weighted Russell directional distance model (WRDDM) considering an input orientation and the Luenberger productivity indicator. In a second stage, drivers of productivity, technical and efficiency changes are analysed for each input considering a linear dynamic panel data model. Results indicate that productivity rose during the period, with capital and labour productivity changes behind this increase. Factors such as being affiliated to an international hotel chain or the market share of hotels have a significant effect on total factor productivity change, technical change and efficiency change.

Authors

Institutions

Publication Details

Journal
Tourism Economics
Published
2025-09-20
DOI
https://doi.org/10.1177/13548166251380729
Primary Topic
Wine Industry and Tourism
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors influencing the contribution of each individual input to productivity growth in the Spanish hotel industry

Jorge V. Pérez–Rodríguez, Christian Hernández-Guedes
Tourism Economics
Wine Industry and Tourism
article

Factors influencing the contribution of each individual input to productivity growth in the Spanish hotel industry

Jorge V. Pérez–Rodríguez, Christian Hernández-Guedes
article en

Abstract

This paper investigates the contribution of each individual input to total factor productivity change, distinguishing between technical and efficiency change, for a sample of Spanish hotels for the period 1997-2019. To do so, we apply the non-radial and non-parametric weighted Russell directional distance model (WRDDM) considering an input orientation and the Luenberger productivity indicator. In a second stage, drivers of productivity, technical and efficiency changes are analysed for each input considering a linear dynamic panel data model. Results indicate that productivity rose during the period, with capital and labour productivity changes behind this increase. Factors such as being affiliated to an international hotel chain or the market share of hotels have a significant effect on total factor productivity change, technical change and efficiency change.

Tourism Economics
Universidad de Las Palmas de Gran Canaria (ES)
Openalex Percentile: Top 76%
Wine Industry and Tourism
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.