International Research Journal of Agricultural Economics and Statistics

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Determinants of Purchase Probability and Consumption of Egg: an Evidence from Indian Households


Affiliations
1 Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore(T.N.), India
2 Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore(T.N.), India
     

   Subscribe/Renew Journal


In this study, we attempted to estimate the influence of household characters on purchasing decision and number of egg consumption by using consumer expenditure survey data collected by National Sample Survey Organization (NSSO), Government of India. Since zero expenditure problem was encountered in the data set, Heckman Sample Selection Model was employed to estimate the purchase probability and demand for egg. Results of the study revealed that prices of egg and fish, per capita income, size of household and having food away from home were the major determinants of purchase probability and consumption of egg. Egg consumption among the poor people was lesser than the middle and higher income people.

Keywords

Egg, Demand, Income, Price, Household, Consumer Expenditure.
Subscription Login to verify subscription
User
Notifications
Font Size


  • Bai, J., Wahl, T.I. and McCluskey, J.J. (2008). Fluid milk consumption in urban Qingdao, China. Australian J. Agric. & Resource Econ., 52(2): 133-147.

  • Bansil, P.S. (1999). Demand for food grains by 2020 AD. Observer Research Foundation, New Delhi.

  • Birthal, P.S., Taneja, V.K. and Thorpe, W. (2006). Smallholder livestock production in India-Opportunities and challenges: Proceedings of an ICAR–ILRI international workshop, New Delhi, India, 31 January–1 February 2006.

  • Chatterjee, S., Rae, A., Ray, R. and Universuty, M. (2006). Food consumption, trade reforms and trade patterns in contemporary India: How do Australia and NZ fit in?. In Conference Paper, Massy University, New Zealand: Department of Applied and International Economics.

  • Cheah, Y.K. and Tan, A.K. (2014). Determinants of leisure-time physical activity: Evidence from Malaysia. Singapore Econ. Rev., 59(02): 1450017.

  • Chengappa, P.G., Achoth, L., Mukherjee, A., Reddy, B.R., Ravi, P.C. and Dega, V. (2007). Evolution of food retail chains in India. Agricultural Diversification and Smallholders in South Asia, New Delhi, Academic Foundation.

  • Crawford, I., Laisney, F. and Preston, I. (2003). Estimation of household demand systems with theoretically compatible Engel curves and unit value specifications. J. Econ., 114 (2) : 221-241.

  • Deaton, A. (1990). Price elasticities from survey data: extensions and Indonesian results. J. Econometrics, 44(3): 281-309.

  • Deaton, A. (1997). The analysis of household surveys: a microeconometric approach to development policy. World Bank Publications.

  • Dong, F. (2006). The outlook for Asian dairy markets: the role of demographics, income, and prices. Food Policy, 31(3): 260–271.

  • Febrianto, N., Budi, H. and Dan, H.D.U. (2013). Analysis of the demand for eggs in city of Malang. IOSR J. Business & Management, 11(5): 35-39.

  • Greene, W. (2007). Econometric analysis. Prentice Hall, New York.

  • Hatirli, S.A., Ozkan, B. and Aktas, A.R. (2004). Factors affecting fluid milk purchasing sources in Turkey. Food Quality & Preference, 15(6): 509-515.

  • Kedir, A.M. (2005). Estimation of own-and cross-price elasticities using unit values: econometric issues and evidence from urban Ethiopia. J. African Econ., 14(1): 120.

  • Kumar, A., Joshi, P.K., Kumar, P. and Parappurathu, S. (2014). Trends in the consumption of milk and milk products in India: implications for self-sufficiency in milk production. Food Security, 6(5): 719-726.

  • Kumar, P. and Dey, M.M. (2007). Long-term changes in Indian food basket and nutrition. Economic & Political Weekly, 42(35): 3567-3572.

  • Kumar, P., Kumar, A., Parappurathu, S. and Raju, S.S. (2011). Estimation of demand elasticity for food commodities in India. Agric. Econ. Res. Rev., 24(1): 1-14.

  • Quah, S.H. and Tan, A.K. (2009). A Heckman sample selection approach to the demand for organic food products: An exploratory study using Penang data. J. Food Products Mktg., 15(4): 406-419.

  • Pazarlioglu, M.V., Miran, B., Ucdogruk, S. and Abay, C. (2007).Using econometric modelling to predict demand for fluid and farm milk: A Case Study from Turkey. Food Quality & Preference, 18 : 416.424.

  • Radhakrishna, R. (2005). Food and nutrition security of the poor: emerging perspectives and policy issues. Econ. & Political Weekly, 40(18): 1817-21.

  • Tobin, J. (1958). Estimation of relationships for limited dependent variables. Econometrica: J. Econometric Society, 26(1): 24-36.

  • Vasileska, A. and Rechkoska, G. (2012). Global and regional food consumption patterns and trends. Procedia-Social & Behavioral Sciences, 44 : 363-369.

  • Yen, S.T. and Rosinski, J. (2008). On the marginal effects of variables in the log-transformed sample selection models. Economics Letters, 100(1): 4–8.


Abstract Views: 326

PDF Views: 0




  • Determinants of Purchase Probability and Consumption of Egg: an Evidence from Indian Households

Abstract Views: 326  |  PDF Views: 0

Authors

M. Umanath
Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore(T.N.), India
R. Paramasivam
Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore(T.N.), India
V. Kavitha
Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore(T.N.), India
T. Thanga Durai
Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore(T.N.), India

Abstract


In this study, we attempted to estimate the influence of household characters on purchasing decision and number of egg consumption by using consumer expenditure survey data collected by National Sample Survey Organization (NSSO), Government of India. Since zero expenditure problem was encountered in the data set, Heckman Sample Selection Model was employed to estimate the purchase probability and demand for egg. Results of the study revealed that prices of egg and fish, per capita income, size of household and having food away from home were the major determinants of purchase probability and consumption of egg. Egg consumption among the poor people was lesser than the middle and higher income people.

Keywords


Egg, Demand, Income, Price, Household, Consumer Expenditure.

References