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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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THE MAHARASHTRA MODEL: HARNESSING TOURISM FOR SUSTAINABLE ECONOMIC DEVELOPMENT

Authors: Dr. Sukanta Sarkar, Dr. Suman Kalyan Chaudhury, Dr. Lingaraj Prasad Patnaik;

THE MAHARASHTRA MODEL: HARNESSING TOURISM FOR SUSTAINABLE ECONOMIC DEVELOPMENT

Abstract

It has been observed that Maharashtra has a bright prospect in tourism sector. Handicrafts, local music and dance reflect the cultural distinctiveness of the state. The state has a modern lifestyle, tourist attractions, and rich cultural heritage. There are lakes, open skies, mountains, and wildlife. West coast. Deccan Plateau, and Western Ghats are the three crucial biogeographic zones. Flora in state is heterogeneous. It has museums, trekking sites, dams, forts, forests, beaches, hills stations that attract tourists from all over the globe. Cuisine in the state varies with regions. Still there are many challenges before the tourism industry of the state. Therefore, the government should implement proper policies for tourism industry in the state. The researchers have relied upon secondary data to test this hypothesis. Statistical tests like regression and ANOVA have been used for data analysis. This paper discusses the status, prospects and challenges of tourism industry in Maharashtra. The researchers have concluded that the tourism sector has a significant contribution towards economic development of the state.Keywords: Hills station, Forts, Revenue, Tourism, and Tourist Places

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green