Changes in meat demand system due to COVID-19

2021 ◽  
Vol 24 (7) ◽  
pp. 199-226
Author(s):  
Na-Yeong Kim ◽  
Ha-Ram Eom ◽  
Chang-Gyu Kim ◽  
Seon-Jin Kim ◽  
Do-Hyun Kim ◽  
...  
Keyword(s):  
Demand System ◽  
Meat Demand

scholarly journals Meat Demand in South Korea: An Application of the Restricted Source-Differentiated Almost Ideal Demand System Model

2007 ◽  
Vol 39 (1) ◽  
pp. 47-60 ◽  
Author(s):  
Shida Rastegari Henneberry ◽  
Seong-huyk Hwang
Keyword(s):  
United States ◽  
South Korea ◽  
The United States ◽  
System Model ◽  
Demand System ◽  
Almost Ideal Demand System ◽  
The South ◽  
Meat Demand ◽  
South Korean ◽  
Meat Market

The first difference version of the restricted source-differentiated almost ideal demand system is used to estimate South Korean meat demand. The results of this study indicate that the United States has the most to gain from an increase in the size of the South Korean imported meat market in terms of its beef exports, while South Korea has the most to gain from this expansion in the pork market. Moreover, the results indicate that the United States has a competitive advantage to Australia in the South Korean beef market. Results of this study have implications for U.S. meat exports in this ever-changing policy environment.

Estimating a Demand System with Nonnegativity Constraints: Mexican Meat Demand

2001 ◽  
Vol 83 (3) ◽  
pp. 541-550 ◽  
Author(s):  
Amos Golan ◽  
Jeffrey M. Perloff ◽  
Edward Z. Shen
Keyword(s):  
Demand System ◽  
Meat Demand ◽  
Nonnegativity Constraints

scholarly journals Pola Permintaan Daging Tingkat Rumah Tangga di Indonesia: Analisa Data Mikro 2013

2015 ◽  
Vol 16 (1) ◽  
pp. 47-58 ◽  
Author(s):  
Sigit Nugroho ◽  
Sita Wardhani Suparyono
Keyword(s):  
Urban Education ◽  
Least Square ◽  
Demand Elasticity ◽  
Demand System ◽  
Almost Ideal Demand System ◽  
Household Demand ◽  
Meat Demand ◽  
Demand Pattern ◽  
Economic Survey ◽  
Linear Least Square

AbstractThe objective of this study is to understand the meat demand pattern of household in Indonesia. This study used the 2013 National Socio-Economic Survey (SUSENAS) and Agriculrural Census (SP). The method used to understand the meat demand pattern is Quadratic Almost Ideal Demand System (QUAIDS) approach with Iterated Linear Least Square (ILLS) estimator. The result shows that urban, education, household size, and domestic meat supply have an influence on meat demand pattern and its elasticity. Keywords: Quadratic Almost Ideal Demand System (QUAIDS); Household Demand; Meat; Demand Elasticity AbstrakTujuan penelitian ini adalah untuk mempelajari pola permintaan daging di Indonesia. Penelitian ini menggunakan data survei rumah tangga SUSENAS 2013 dan Sensus Pertanian 2013 yang dikeluarkan oleh Badan Pusat Statistik. Penelitian ini menggunakan pendekatan Quadratic Almost Ideal Demand System (QUAIDS) dengan estimator Iterated Linear Least Square (ILLS). Hasil analisis menunjukkan bahwa terdapat pengaruh kota, pendidikan, ukuran rumah tangga, kelas pendapatan, dan suplai daging domestik terhadap pola permintaan dan elastisitas daging. 

scholarly journals Meat demand model in Iran: a restricted source-differentiated almost ideal demand system approach

2018 ◽  
Vol 10 (2) ◽  
pp. 194-204
Author(s):  
Elham Pourmokhtar ◽  
Reza Moghaddasi ◽  
Amir Mohammad Nejad ◽  
Seyed Safdar Hosseini
Keyword(s):  
System Approach ◽  
Demand System ◽  
Almost Ideal Demand System ◽  
Demand Model ◽  
Meat Demand

scholarly journals Toward a Difference Approach: A Discrete Meat Demand System

2020 ◽  
Vol 5 (3) ◽  
pp. p66
Author(s):  
Shu Tsuchida
Keyword(s):  
Budget Constraint ◽  
Demand System ◽  
Difference Quotient ◽  
Fresh Meat ◽  
Partial Difference ◽  
Meat Demand ◽  
Differential Approach ◽  
The Difference ◽  
Almost All ◽  
Continuous Demand

While the differential approach to economic analysis is useful, the difference approach is indispensable as almost all economic data are discrete, rather than continuous. Thus, we must to investigate the integration of the differential with difference approaches. We show a difference quotient corresponding to a differential quotient, which is generally called a derivative, and a partial difference quotient corresponding to a partial differential quotient, which is generally called a partial derivative. From these, the difference approach produces a discrete demand system with logarithmic mean elasticities as parameters that corresponds to a continuous demand system with point elasticities as parameters produced by the differential approach. These systems should satisfy each budget constraint: the former for finite-change variables and the latter for infinitesimal-change variables. Based on these, we consider a discrete meat demand system, apply it to monthly demand for fresh meat in Japan, and estimate it using a weighted RAS method. The estimated demand system has two desirable properties: each estimated demand (theoretical value) of the conditional demand function coincides with each observed demand, and this system satisfies the difference budget constraint.

scholarly journals Estimating a Demand System with Seasonally Differenced Data

2010 ◽  
Vol 42 (2) ◽  
pp. 321-335
Author(s):  
Ardian Harri ◽  
B. Wade Brorsen ◽  
Andrew Muhammad ◽  
John D. Anderson
Keyword(s):  
Moving Average ◽  
Demand System ◽  
Average Error ◽  
Demand Systems ◽  
Monthly Data ◽  
Meat Demand ◽  
Overlapping Data ◽  
Annual Changes ◽  
Asymptotically Efficient ◽  
The U.S

Several recent papers have used annual changes and monthly data to estimate demand systems. Such use of overlapping data introduces a moving average error term. This paper shows how to obtain consistent and asymptotically efficient estimates of a demand system using seasonally differenced data. Monte Carlo simulations and an empirical application to the estimation of the U.S. meat demand are used to compare the proposed estimator with alternative estimators. Once the correct estimator is used, there is no advantage to using overlapping data in estimating a demand system.

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