Impact Identification and Determinants of Gambling: A Case of Figure Gambling in Sholapur

Roopesh Kaushik, Suhrsh Shirke


The study is an attempt to identify various determinants, viz., income, consumption, age, education and sex of figure gambling. The activity which is considered to be illegal by the government of many countries is widely practiced in Sholapur district of Maharashtra. The current study adopts a mixed-method research design to examine the motivation for gambling and its impact on developmental indicators. Results show that the variables like income, education, sex, consumption and age are having relationship with gambling and its frequency. Although the values of correlation coefficients are very small, except in case of education and sex, yet the analysis shows some sort of relationships between these variables and gambling frequency. 


Figure Gambling, Developmental indicators, Income, Education, Sex, Consumption and Age, Sholapur district

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Leal A, Lopez-Laborda J, Rodrigo F. The inside and outside revenue impact of regional gambling taxes in Spain. Growth and Change Mar 2014: 79-97. [2] Bhagat V. Suresh Bhagat’s Brother vows to take over ‘Matka’ business. (R. Ramaswamy, Interviewer), Sep 27, 2013. [3] Dandekar V. Government by gambling. Economic and Political Weekly 1970; 5: 83-87. [4] Government of India. 81st report on Lotteries (Prohibition) Bill, 1999. New Delhi: Rajya Sabha Secretariat, 2001. [5] Jacos DF. Juvenile gambling in North

Kaushik R et al.

America: An analysis of long term trends and future prospects. Journal of Gambling Studies 2000: 119-52. [6] Svensson J, Romild U. Problem gambling features and gendered gambling domains. Sex Roles 2014: 240-50. [7] Erickson L, Molina CA, Ladd GT et al. Problem and pathological gambling are associated with poorer mental and physical health in older adults. International Journal of Geriatric Psychiatry 2005: 754-59. [8] Mirman LJ, Santugini M. On risk aversion, classical demand theory. J Risk Uncertain 2014: 51-66. [9] Li M. On Aumann and Serrano’s economic index of risk. Econ Theory Apr 2013: 415-37.

Pietrzak RH, Ladd GT, Petry NM. Disordered gambling in adolescents: Epidemiology, diagnosis, and treatment. Paediatr Drugs 2003: 583-95. [11] Salaam AO. Gambling for Sustainability: “Area Boys” and Gambling. New York: Springer Science+Business Media, 2014: 80-93. [12] Thomas AG, Marsh TL. The revenue impacts of cross-border lottery shopping in the presence of spatial autocorrelation. Regional Science and Urban Economics 2002; 32(4): 501-19. [13] Sakle S, Kaushik R. Gambling, Determinants and its Impact: A Case Study of Figure Gambling in Sholapur. Research Report, Tuljapur: Unpublished, 2014: 1-23.


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