Author: Urgen Dukpa and Sayel Basel
Author Address: School of Economics, University of Hyderabad, Gachibowli, Hyderabad-500046 (Telangana) and Department of Economics, Christ University, Bengaluru-560029 (Karnataka)
Keywords: Categorical Principal Component Analysis (CATPCA), Ordinal Logistic Regression Model, regional development, socioeconomic development.
JEL Codes: C49, C83, I31, O10
The measurement of
regional development plays a crucial role in improving the quality of life of
local communities. However, the process of analyzing the regional progress was
challenging as regional development was presented as a multidimensional
concept. Nonetheless, the study's primary objective was to understand the
indicators that genuinely reflect the development process's various dimensions
in the northernmost district of West Bengal, Darjeeling Himalayas. Seven
dimensions of development, namely psychological well-being, health, education,
governance, safety and crime, energy and environment and standard of living
were identified for analyzing the socio-economic development of the Darjeeling
Himalaya. A questionnaire was framed and circulated in the region for the
collection of data. By applying Categorical Principal Component Analysis
(CATPCA), the data collected was aggregated into the above mentioned seven
dimensions of development and analyzed the relationship between these
development indicators through the Ordinal Logistic Regression model (OLR). The
results showed that education and governance indicators had a significant
impact on the psychological wellbeing. Governance was affected by psychological
wellbeing, while standard of living was affected by psychological wellbeing and
health indicators in the region.
Indian Journal of Economics and Development
Volume 17 No. 1, 2021, 128-135
DOI: https://doi.org/10.35716/IJED/20198
Indexed in Clarivate Analytics (ESCI) of WoS
Indexed in Clarivate Analytics (ESCI) of WoS
Scopus: Title Accepted
NAAS Score: 5.15