Evidence map›Paper›PMID 33180288›Full record

ArticleEnvironmental science and pollution research international2021

The mediating role of ICTs in the relationship between international tourism and environmental degradation: fit as a fiddle.

Muhammad Khalid Anser, Muhammad Azhar Khan, Abdelmohsen A Nassani, Sameh E Askar, Muhammad Moinuddin Qazi Abro, Khalid Zaman, Ahmad Kabbani

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Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Muhammad Khalid AnserSchool of Public Administration, Xi'an University of Architecture and Technology, Xi'an, 710000, China.
Muhammad Azhar KhanDepartment of Economics, University of Haripur, Haripur, Khyber Pakhtunkhwa, Pakistan.
Abdelmohsen A NassaniDepartment of Management, College of Business Administration, King Saud University, PO. Box 71115, Riyadh, 11587, Saudi Arabia.
Sameh E AskarDepartment of Statistics and Operations Research, College of Science, King Saud University, PO. Box 11451, Riyadh, 11587, Saudi Arabia.
Muhammad Moinuddin Qazi AbroDepartment of Management, College of Business Administration, King Saud University, PO. Box 71115, Riyadh, 11587, Saudi Arabia.
Khalid ZamanDepartment of Economics, University of Haripur, Haripur, Khyber Pakhtunkhwa, Pakistan. khalid_zaman786@yahoo.com.
Ahmad KabbaniDepartment of Management, Aleppo University, Aleppo, Syria.

Funding

King Saud University RSP-2020/167
6 · The paper itself

Abstract

The United Nations sustainable development goals (SDGs) proposed 17 effective plans linked with three principal aims, i.e., eradicating poverty, conserving the natural environment, and ensuring prosperity for all. Travel and tourism are the leading stream sector through which all the three stated United Nations themes could be achieved efficiently. The future project of Saudi Arabia's vision is also in line with the United Nation SDGs that much emphasized on tourism expansion, innovation, and sustainable development, which directly supports the SDG-8 (i.e., decent work and economic growth), SDG-9 (i.e., industries, innovation, and infrastructure), SDG-12 (i.e., responsible consumption and production), and SDG-13 (i.e., climate change). The study's objective is to evaluate the country's e-tourism initiatives and green development agenda in the long-run by using the quarterly data from 1995Q1 to 2018Q4. The study employed the autoregressive distributed lag (ARDL) model for estimating the short- and long-run relationship between the variables. Further, the study developed an "e-tourism index" that combines ICT's share in tourism income and expenditures items by principle component matrix (PCM). The results show that oil rents, ores and metal exports, and railways goods transportation depleted natural resources, while ICT's share in energy demand, inbound tourism, and trade openness conserve natural resources via the adoption of advanced technologies, eco-tourism knowledge, and green technology imports in a country. The results confirmed the U-shaped relationship between the country's per capita income and natural resource depletion in a given period. The positive relationship (negative impact) of air transportation freight and trade openness with carbon emissions is evident in the short-run; however, the result is insignificantly determined in the long-run. The industry value-added and ICT's share in energy demand substantially delimit carbon emissions through cleaner production techniques and green innovation. The U-shaped relationship in the short- and flat relationship in the long-run is found for carbon-growth nexus. In the long-run, inbound tourism has a positive (negative impact) relationship with carbon emissions that need sustainable tourism policies to delimit carbon emissions. The air-railways passengers carried and trade openness is the main antecedents that influenced fossil fuel energy consumption in the short- and long-run, while in the long-run, tourism income, ICT's share in energy demand, and industry value-added delimit fossil fuel combustion. The study confirmed the inverted U-shaped relationship between carbon emissions and per capita income in a country. The e-tourism index positively influences the country's economic growth, mobile share in the energy demand, industry value-added, and railways goods transportation. In the long-run, the mobile share in energy demand and railways goods transported increase while air transport freight decreases economic growth. Finally, the e-tourism index is positively influenced by industrial value-added and ICT's share in fossil fuel energy demand. Simultaneously, air transportation passengers carried and ICT's share in carbon emissions negatively affected the e-tourism index in a country. The study concludes that Saudi Arabia's vision 2030 of e-tourism and green sustainable development could be achieved by promoting green ICTs, cleaner production technologies, sustainable consumption and production, tight environmental regulations, and green travel and tourism infrastructure, which ultimately will support the Saudi's vision realization programs towards the country's prosperity.

Indexed as

Carbon DioxideTourismEconomic DevelopmentEnergy-Generating ResourcesFossil FuelsCarbon DioxideFossil FuelsAir-railways transportationCarbon emissionse-tourismFossil fuel combustionInbound tourismNatural resourcesSaudi vision 2030Trade openness

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.