Analisis Permintaan dan Elastisitas Daging Sapi pada Tingkat Rumah Tangga

M Chalidin
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引用次数: 1

Abstract

This study aims to determine the level of beef demand, the factors that affect beef demand and measure and identify the role of the elasticity of factors that affect beef demand. Sampling is done by simple random sampling. The data analysis method used is qualitative (descriptive) and quantitative analysis. The results showed that the demand for beef at the household level in Sei Sikambing B village, the average beef consumption was 2.2 kg / month. Simultaneously the test results show that the variable beef prices, fish prices, chicken meat prices, egg prices, the level of household income, the number of family members, and taste have a real impact on the amount of beef demand at a 95% confidence level. On the price of partial fish, the price of chicken cuts, the level of household income and tastes significantly influence the demand for beef at a 95% confidence level, while the variable beef prices, egg prices, and the number of family members do not significantly influence the demand for beef meat at the level 95% confidence. From the estimation that the determination value (R2) of 67.8% variation of the seven variables can explain the amount of beef demand, while the remaining 32.2% is influenced by other variables. Beef demand is not elastic to changes in beef prices.Keywords: Demand, Elasticity, Price, Beef, Income
分析家庭层面的牛肉需求和弹性
本研究旨在确定牛肉需求水平,影响牛肉需求的因素,并测量和识别影响牛肉需求因素弹性的作用。抽样采用简单随机抽样。使用的数据分析方法是定性(描述)和定量分析。结果表明:塞西坎冰B村户级牛肉需求平均消费量为2.2 kg /月;同时,检验结果表明,在95%的置信水平上,可变的牛肉价格、鱼价格、鸡肉价格、鸡蛋价格、家庭收入水平、家庭成员数量和口味对牛肉需求量有实际影响。部分鱼的价格、鸡肉块的价格、家庭收入水平和口味水平在95%置信水平上显著影响牛肉的需求,而可变牛肉价格、鸡蛋价格和家庭成员数量在95%置信水平上对牛肉的需求没有显著影响。由估算可知,7个变量中67.8%的变异决定值(R2)能解释牛肉需求量,其余32.2%受其他变量影响。牛肉需求对牛肉价格的变化没有弹性。关键词:需求,弹性,价格,牛肉,收入
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