Potential Cluster Regions for Manufacturing Small and Medium Enterprises in Khulna City of Bangladesh: A Spatial Examination
Author(s) -
Towhidur Rahman,
Ahsanul Kabir,
K Sahu,
M Chen,
H Zhang,
W Liu,
W Zhang,
L Narayan,
H Nguyen,
L,
M Porter,
A Cumbers,
D Mackin,
P Li,
X Chen,
T Tambunan,
V Navickas,
A Malakauskaite,
B Safavi,
A Bagheri,
C Ketels,
O Memedovic,
A Mikhaylov,
N Jote,
B Beshah,
D Kitaw,
A Abraham,
N Reid,
M Carroll,
B Smith,
J Frizado,
M Hassan,
M Alenezi,
R Good,
J Swords,
S Rosenfeld,
M Porter,
V Prasannakumar,
H Vijith,
R Charutha,
N Geetha,
D Kim,
H Lee,
A Mohaymany,
M Shahri,
B Mirbagheri,
Bbs,
Bbs,
J Martyniuk-Pczek,
O Martyniuk,
A Gierusz,
G Pczek,
S Rahman,
A Kabir
Publication year - 2019
Publication title -
international journal of recent technology and engineering (ijrte)
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1130.0982s919
Subject(s) - industrialisation , urbanization , cluster (spacecraft) , economic geography , business , distribution (mathematics) , cluster development , index (typography) , manufacturing , geography , industrial organization , economic growth , marketing , computer science , economics , engineering , programming language , work (physics) , market economy , mathematical analysis , mechanical engineering , mathematics , world wide web
Industrialization is considered as the main path towards urbanization and economic development. Small and medium enterprises (SMEs) are the major contributor to the industrialization in many countries across the world. Cluster approach has gained extensive acceptance among academics and policy makers as an effective development strategy both for an industry and a region. This study thus aims to identify the potential cluster regions (PCRs) for manufacturing SMEs in Khulna city of Bangladesh since such identification is an important first step for cluster-based development strategy. Locating and mapping key manufacturing SMEs and exploring their spatial pattern are the major objectives of the study. The study concentrates on applying geo-statistical analysis such average nearest neighbour index, kernel density plot and SME distribution mapping using GIS to find the spatial pattern of the industries in the study area. The study depicted a clustered spatial pattern and uneven distribution of the SMEs across different wards of the city.
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