Sustainable Ecotourism in Bangladesh: A SWOT Analysis of Ecotourism Destinations

Tourism is the world's fastest-growing sector. In the recent era, ecotourism has boosted the tourism sector in Bangladesh as well as the world. This study explores the potential of sustainable ecotourism in Bangladesh with a SWOT analysis method. This research mainly identifies eight key ecotourism destinations, including Cox’s Bazar, the Sundarbans, Saint Martin Island, Kuakata Sea Beach, Madhupur Sal Forest, Sitakundo Eco-Park, Sajek Valley, and Hakaluki Haor, and applies SWOT analysis. By using the SWOT analysis research method, the researcher finds out strengths, weaknesses, opportunities, and threats. The ecological, economic, and social benefits of ecotourism are the strength of these destinations. On the other hand, environmental degradation, inadequate infrastructure, and unregulated tourism are challenges these destinations face. There are also opportunities and threats like domestic & foreign income and over tourism & natural disasters. This study provides specific recommendations that are effective for conserving the eco-environment in tourism destinations in Bangladesh as well as the world. This study mainly helps the authority bodies that are responsible for tourism planning and policy making and preserving tourism over the world, including UNWTO, UN, ATAB, WTTC, IATA, and PATA, as well as Bangladesh, including BPC, BTB, and TOAB.

Authors

Publication Details

Journal
International Journal of Multidisciplinary Research and Growth Evaluation
Published
2025-01-01
DOI
https://doi.org/10.54660/.ijmrge.2025.6.2.1146-1163
Primary Topic
Strategic Planning and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sustainable Ecotourism in Bangladesh: A SWOT Analysis of Ecotourism Destinations

M.S. Hossain
International Journal of Multidisciplinary Research and Growth Evaluation
Strategic Planning and Analysis
article

Sustainable Ecotourism in Bangladesh: A SWOT Analysis of Ecotourism Destinations

M.S. Hossain
article en

Abstract

Tourism is the world's fastest-growing sector. In the recent era, ecotourism has boosted the tourism sector in Bangladesh as well as the world. This study explores the potential of sustainable ecotourism in Bangladesh with a SWOT analysis method. This research mainly identifies eight key ecotourism destinations, including Cox’s Bazar, the Sundarbans, Saint Martin Island, Kuakata Sea Beach, Madhupur Sal Forest, Sitakundo Eco-Park, Sajek Valley, and Hakaluki Haor, and applies SWOT analysis. By using the SWOT analysis research method, the researcher finds out strengths, weaknesses, opportunities, and threats. The ecological, economic, and social benefits of ecotourism are the strength of these destinations. On the other hand, environmental degradation, inadequate infrastructure, and unregulated tourism are challenges these destinations face. There are also opportunities and threats like domestic & foreign income and over tourism & natural disasters. This study provides specific recommendations that are effective for conserving the eco-environment in tourism destinations in Bangladesh as well as the world. This study mainly helps the authority bodies that are responsible for tourism planning and policy making and preserving tourism over the world, including UNWTO, UN, ATAB, WTTC, IATA, and PATA, as well as Bangladesh, including BPC, BTB, and TOAB.

International Journal of Multidisciplinary Research and Growth EvaluationVol. 6(2)
Openalex Percentile: Top 90%
Strategic Planning and Analysis
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.