Productivity growth of Spanish tourist wineries using a directional distance approach

This paper analyses, in a two-step procedure, the productivity growth of 69 Spanish wineries (period 1998-2022) which offer tourism activities at their installations. To do so, we firstly calculate the total factor productivity (TFP) change using a directional distance function (DDF) and the Luenberger-Hicks-Moorsteen (LHM) TFP indicator introduced by Ang and Kerstens (2017), which allows us to correctly distinguish between technological change (TC), technical inefficiency change (TINC) and scale inefficiency change (SINC). Although a high efficiency is found in median terms, productivity decreased during the period in cumulative terms. This is explained by two contrasting forces: a positive TINC and SINC, and a negative TC. In a second step, we analyse the effect of some factors on TFP change and its components using a dynamic panel data model. Several practical implications are proposed based on these outcomes.

Authors

Institutions

Publication Details

Journal
Tourism Economics
Published
2024-12-11
DOI
https://doi.org/10.1177/13548166241307412
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

Productivity growth of Spanish tourist wineries using a directional distance approach

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

Productivity growth of Spanish tourist wineries using a directional distance approach

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

Abstract

This paper analyses, in a two-step procedure, the productivity growth of 69 Spanish wineries (period 1998-2022) which offer tourism activities at their installations. To do so, we firstly calculate the total factor productivity (TFP) change using a directional distance function (DDF) and the Luenberger-Hicks-Moorsteen (LHM) TFP indicator introduced by Ang and Kerstens (2017), which allows us to correctly distinguish between technological change (TC), technical inefficiency change (TINC) and scale inefficiency change (SINC). Although a high efficiency is found in median terms, productivity decreased during the period in cumulative terms. This is explained by two contrasting forces: a positive TINC and SINC, and a negative TC. In a second step, we analyse the effect of some factors on TFP change and its components using a dynamic panel data model. Several practical implications are proposed based on these outcomes.

Tourism EconomicsVol. 31(6)
Universidad de Las Palmas de Gran Canaria (ES)
Decent work and economic growth
Openalex Percentile: Top 71%
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.