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PRWP

Reproducibility package for Greener Is Not Always Pricier: Ecolabeling and Price Premium in the Tourism Industry

2023
Get Reproducibility Package
Reference ID
RR_EUE_2023_PRWP-10552_v01
DOI
https://doi.org/10.60572/6ddq-6y90
Author(s)
Ridwan Bolaji Bello, Olanrewaju Kassim, Sodiq Oladayo Bello
Collections
World Bank Policy Research Working Papers
Metadata
JSON
Created on
Sep 06, 2023
Last modified
Sep 06, 2023
  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
  • Contacts
  • Information on metadata
  • Citation

    • Overview

    Abstract

    Voluntary ecolabeling programs have gained popularity in the tourism industry as initiatives for promoting ecofriendly practices among tourism firms. Yet, for these programs to appeal to firms, it is crucial that they generate positive market benefits for ecolabeled firms. This paper studies the effect of a sustainable tourism label on prices of hotel firms. It uses hotel listing data collected from Booking.com and covering more than 6,000 hotels across 10 popular European cities. The finding show that the presence of the ecolabel is associated with a price premium of approximately 10 percent in the full sample. However, point estimates of this premium vary across cities, from a low of 1 percent in Venice to a high of 22 percent in London. As a novel contribution, the paper shows that the ecolabel delivers a quantitatively and statistically significant price premium only in cities where tourism (destination) competitiveness is high and ecolabel attainment is low. The paper discusses the implications of these findings for firms and policy makers in the industry.

    Reproducibility Package

    Scripts
    Get Reproducibility Package
    Title
    Reproducibility package (data and code) for Greener Is Not Always Pricier: Ecolabeling and Price Premium in the Tourism Industry
    Date
    2023-08
    Software
    Stata, Python
    Description
    The reproducibility package contains a Stata do file, which performs all necessary calculations to produce the results in the paper using the data present. Also, it has a Python script used to construct some of the figures in the study.
    Dependencies
    Stata: outreg2 coefplot Python: os, pandas, seaborn, matplotlib.pyplot, numpy
    Instructions
    See README in reproducibility package
    Repository
    Reproducible Research Repository (World Bank)
    Notes
    Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank.
    Source code repository
    Repository name URI
    Reproducible Research Repository (World Bank) https://reproducibility.worldbank.org
    Software
    Name
    Stata
    Version
    17
    Name
    Python
    Version
    3.11

    Reproducibility

    Technology environment

    • Computer 1:
    – OS: Windows 10 Enterprise, version 21H2
    – Processor: Intel(R) Core(TM) i7-8665U CPU @ 1.90GHz 2.11 GHz
    – Memory available: 15.8 GB
    – Software version: Stata 16.1, Python 3.7
    • Computer 2:
    – OS: Windows 11 Home, Versions 22H2
    – Processor: Intel(R) Core(TM) i5-9300H CPU @ 2.40GHz 2.40 GHz
    – Memory available: 7.85 GB
    – Software version: Stata 17.01 1
    *Only the Stata part of the code was run
    in this computer
    • Computer 3:
    – OS: MacOS Ventura 13.4
    – Processor: Dual-Core Intel Core i3, 1.1 GHz
    – Memory available: 8 GB 3733 MHz LPDDR4X
    – Software version: Stata 16.1, Python 3.11.
    Reproduction instructions

    A README file with detailed instructions is part of the reproducibility package.

    Data

    Datasets
    Name
    Hotel room pricing and attributes
    Note
    This data was constructed by the authors by scraping data from Booking.com. The authors searched for accommodation options for two adult guests for a one-night stay exactly one month away from the date of the search. Once the browser returned the search results, the authors used Python to extract information on all the hotel listings in the search results. Performing this data collection procedure for Amsterdam, Barcelona, Brussels, Copenhagen, Lisbon, London, Paris, Stockholm, Venice, and Vienna, the data amounts to 6,262 hotels. These cities represent important international tourism markets and are among the top 100 travel destination cities in the world. This refers to hotel_data in the code.
    Access policy
    The data from booking.com is publicly available but cannot be reshared. Repository and details provided in the README file.
    Name
    Tourism Competitiveness
    Note
    The tourism competitiveness data comes from the Top 100 City Destination Index 2021, an index freely and publicly downloadable
    Access policy
    Public - Published with package
    License
    Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License
    License URL
    https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
    Data URL
    https://www.euromonitor.com/
    Data statement

    There are two datasets used for this package, one is public and available in the package. The data from booking.com is publicly available but cannot be reshared. The code used to scrape this data is available in the README file.

    Description

    Output
    Type
    Working Paper
    Title
    Greener Is Not Always Pricier: Ecolabeling and Price Premium in the Tourism Industry
    Authors
    Ridwan Bolaji Bello, Olanrewaju Kassim, Sodiq Oladayo Bello
    Description
    Policy Research Working Paper (PRWP) 10552
    DOI
    https://doi.org/10.1596/1813-9450-10552
    Authors
    Author Affiliation Email
    Ridwan Bolaji Bello World Bank Group rbello@worldbank.org
    Olanrewaju Kassim World Bank Group okassim@worldbank.org
    Sodiq Oladayo Bello University of Ilorin Nigeria sodiqoladayobello@gmail.com
    Date of production

    2023-08

    Scope and coverage

    Geographic locations
    Location Code
    Europe EUE
    Keywords
    Ecolabel Sustainable tourism Hotel Hedonic pricing model City Tourism
    Topics
    ID Topic Parent topic ID Vocabulary URI
    D40 Market Structure, Pricing, and Design D4
    L83 Sports • Gambling • Restaurants • Recreation • Tourism L8
    Q50 Environmental Economics Q5

    Disclaimer

    Disclaimer

    The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/the World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.

    Access and rights

    License
    Name URI
    MIT License https://opensource.org/license/mit/

    Contacts

    Contacts
    Name Affiliation Email
    Ridwan Bolaji Bello World Bank Group rbello@worldbank.org
    Olanrewaju Kassim World Bank Group okassim@worldbank.org
    Reproducibility WBG World Bank Group reproducibility@worldbank.org

    Information on metadata

    Producers
    Name Abbreviation Affiliation Role
    Reyes Retana MRR World Bank Junior Data Scientist
    Date of Production

    2023-08-30
    Document version

    1

    Citation

    Citation
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