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Lal, Madan
- Understanding the Dynamics of Length of Stay of Tourists in India through Interpretive Structure Modeling
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PDF Views:201
Authors
Affiliations
1 Department of Commerce, Delhi School of Economics, University of Delhi, Delhi, IN
2 Department of Commerce, Shaheed Bhagat Singh College (University of Delhi), Sheikh Sarai, New Delhi, IN
3 Non- Collegiate Women’s Education Board, University of Delhi, Delhi, IN
1 Department of Commerce, Delhi School of Economics, University of Delhi, Delhi, IN
2 Department of Commerce, Shaheed Bhagat Singh College (University of Delhi), Sheikh Sarai, New Delhi, IN
3 Non- Collegiate Women’s Education Board, University of Delhi, Delhi, IN
Source
Review of Professional Management- A Journal of New Delhi Institute of Management, Vol 16, No 2 (2018), Pagination: 14-24Abstract
The purpose of this research paper is to identify the different factors that affect the length of stay of tourists in India and developing a hierarchical relationship between those factors. The factors are grouped into different classifications which will help policymakers to focus on specially identified groups. Interpretive Structural Modeling (ISM) is used to develop the hierarchical relationship. MICMAC ( cross-impact matrix multiplication applied for classification) analysis will be conducted to determine the driving as well as dependence power of the factors involved and to classify them into Driving, Dependent, Autonomous and Linkage factors. Different factors involved are identified from literature and then a questionnaire is prepared to verify whether there exists any relationship between variables. The MICMAC analysis finds that Age of tourist, purpose of visit and budget of tourist are among the driving forces which affect of other variables involved in the system. Average daily expenditure and pre planning of visit are dependents and knowledge of destination is autonomous factors. An ISM model is then prepared on the basis of partition level of factors.
This paper has implications for researchers as well as policymakers. Researchers need to carry out the demographic study of tourists so that the tourists could be divided on the basis of age, nationality, education. Similarly, investigation should be carried out to identify the purpose of visit that impacts length of stay. The policymakers must concentrate on strategies on those groups who stay or can be made to stay for longer length of period.
Keywords
Length of Stay, ISM, MICMAC, Driving Factor, Dependent factor and Autonomous Factor.Full Text
References
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- Growth and Instability in India's Service Exports:A Policy Period Analysis
Abstract Views :202 |
PDF Views:180
Authors
Anurag Maurya
1,
Madan Lal
2
Affiliations
1 Research Scholar, Department of Commerce, University of Delhi, IN
2 Professor, Department of Commerce, University of Delhi, IN
1 Research Scholar, Department of Commerce, University of Delhi, IN
2 Professor, Department of Commerce, University of Delhi, IN
Source
Review of Professional Management- A Journal of New Delhi Institute of Management, Vol 17, No 1 (2019), Pagination: 92-100Abstract
After economic reforms of 1991, the service sector has become important for economic growth in India. International trade in services has accounted for 13.90 per cent of GDP as highest value during 2006. Trade in services also has been positively contributing towards trade balance during the last three decades. In 2017-18, service trade positively contributed $111.319 billion against total trade deficit of $160.036 billion. The growth of Indian economy is positively linked with the growth in trade in services. Therefore, trade in services has become an important attribute to economic growth. In this context, the present study has primarily attempted to measure growth and instability of the service export. It also analyzes the impact of reforms on growth as well as on instability of service export. The study period is sub divided into two parts pre and post reform period. The separate growth rates are measured and compared for pre and post reform period. The service trade data of different categories of services are included from 1980 to 2013 in accordance with BPM5. The samples of services include aggregate service export, commercial services, travel, transportation and other commercial services. The overall results indicate that there is significant difference in growth and instability for pre and post reform periods. Further, the trend in instability of service export is also found significant over the study period for pre and post reform period separately.Keywords
Service, Economic Growth, Instability, Pre and Post Reform Period.Full Text
References
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