Global Advanced Research Journal of Management and Business Studies (ISSN: 2315-5086) November 2017 Vol. 6(7), pp 216-222

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Original Research Articles

Simultaneous Estimation  Function Model To Identify Factors  That Influence of Beef  Demand and Supply

Dwi Aulia Puspitaningrum1;  Masyhuri2 ;  Slamet Hartono2;  Jamhari 2

1Department of Agribusiness. Faculty of Agriculture, University of Pembangunan Nasional (UPN)”Veteran” Yogyakarta Indonesia

2Faculty of Agriculture Gadjah Mada University Yogyakarta,Indonesia

*Corresponding author: e-mail  / : 081228055877 (WA) ; 081392781717

Accepted 16 October 2017


The Income per  capita   in each district in  Daerah Istimewa Yogyakarta (DIY) Indonesia always increase  year to year.  The Human population in that area also high rise too. This condition makes the demand of food also increase, both the staple food and secondary food.  The Supply of  beef  in this area have not been balance with the demand of beef. This study purpose to analyze the condition of beef supply-demand in DIY, and to identify factors that influence the demand and supply of beef. We incorporated  one  of  econometric model  called  Simultaneous  Estimation  Function  Model  to  approach  the goal of this research by  using secondary time series data from 1995 through 2016 from Indonesia Statistical Bureau and  Data Centre of Directorate General for Livestock Services of Indonesia. Many parameters observed are production and consumtion of beef. Many parameters are running in this model especially  Two Stage Least Square (2SLS) methode. The result of this study indicated that all of parameter that include in this model  were determined simultanouesly by demand and supply Linkage. This condition indicated that in the future time there will be increasing of demand of beef  in  DIY. It must be fullfill with the availaibility of beef in this province. Generally Province of DIY able to provide the wise policy to anticipate non balance condition between beef demand and supply.

Keywords: Beef, Demand, Supply, Simultanoeous Model.



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