UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 8
August-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2308679


Registration ID:
510256

Page Number

g694-g700

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Title

A MULTIPLE REGRESSION MODEL TO INVESTIGATE THE CONTRIBUTION OF THE TOURISM INDUSTRY TO THE FORECASTING OF THE ECONOMY OF THE TIRUNELVELI DISTRICT

Abstract

Oneofthemostessentialcomponentsoftheinternationaleconomyisthetravelandtourismsector.Itplays a role in the expansion of national economies, the creation of new employment opportunities, andthepromotionofafavorablepublicimage.ThisbusinessisalsoaccountableforasizeableportionofthecashthatgoesintotheoverallproductionofGDPincountries.Inordertogainanunderstandingofthe efficiency with which a specific industry is operating, it is necessary to have access to statistical dataregardingthatindustry'scurrentstateandtomakeuseofup-to-datemethodsofdataanalysis.Thiswillallowonetorecognizepatternsintheevolutionoftheindustry,aswellasdeterminedependenciesandthe values that are expected to be displayed by various indicators. The use of multiple regression modeling is one of the seapproaches. This study explores how much of a contribution the Tourism Industry makes to forecasting the economyof the Tirunelveli District in the state of Tamilnadu. During the period of analysis 2010-2022, this studyexamines the link among the factors of the hotel sector's gross domestic product and the associatedpredictorvariables:hotelnightstays,hotelarrivals,andhotelindustryinvestments.Usingthemethodofmultipleregression,IwasabletodeterminethatinvestmentsandthenumberoftouristsvisitingarebothsignificantpredictorsofthevariablerepresentingGDP.Onthebasisofthesefindings,Iwasabletoidentifypartsofthemarketingstrategythat,inmyview,meritexpenditureandhaveastrongchanceofmakingapositiveimpactontheexpansionoftheclienteleofbusinessesofferingtouristwelcomingservices

Key Words

tourism,GDP,economy,forecasting,multipleregression

Cite This Article

"A MULTIPLE REGRESSION MODEL TO INVESTIGATE THE CONTRIBUTION OF THE TOURISM INDUSTRY TO THE FORECASTING OF THE ECONOMY OF THE TIRUNELVELI DISTRICT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 8, page no.g694-g700, August-2023, Available :http://www.jetir.org/papers/JETIR2308679.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A MULTIPLE REGRESSION MODEL TO INVESTIGATE THE CONTRIBUTION OF THE TOURISM INDUSTRY TO THE FORECASTING OF THE ECONOMY OF THE TIRUNELVELI DISTRICT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 8, page no. ppg694-g700, August-2023, Available at : http://www.jetir.org/papers/JETIR2308679.pdf

Publication Details

Published Paper ID: JETIR2308679
Registration ID: 510256
Published In: Volume 10 | Issue 8 | Year August-2023
DOI (Digital Object Identifier):
Page No: g694-g700
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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