CD Tesis
Analisis Pola Dan Perilaku Konsumsi Pangan Di Provinsi Riau: Wilayah Lokus Dan Nonlokus Stunting
This study aims to: (1) analyze the patterns of household food consumption by
income level, number of household members, education of housewives and locus
areas, and non-locus stunting. (2) analyze the dominant factors that affect food
consumption expenditure. (3) analyze changes in food demand behavior in case of
price and income changes. (4) know the impact of the policy with changes in prices
and income on household food consumption expenditures in Riau Province. The data
used is secondary data obtained from the Central Statistics Agency (BPS), namely
data on consumption expenditure modules and household kor results of the National
Socioeconomic Survey (Susenas) for Riau Province in 2018. The data was analyzed
using the Linear Approximate/Almost Ideal Demand System (LA/AIDS) model with
the Seemingly Unrelated Regression (SUR) method.
The results showed the largest proportion of food consumption expenditure in
Riau Province is prepared food and beverages. Then the most consumed quantity of
food is rice. The higher household income, the higher the consumption of food
consumption of rice commodities, tubers, sugar, oil, and coconut, legume, wheat and
instant noodles are decreasing, and the consumption of food consumption of meat,
fish and other aquatic animals, eggs, and milk, and prepared food and beverages will
increase. The higher the level of education of housewives, the higher the proportion
of food expenditure for fish and other aquatic animals, eggs, and milk, prepared food
and beverages, and the lower for rice, tubers, meat, oil, and coconut, sugar, and
wheat and instant noodles. Increasing the number of household members will
increase the consumption of food sources of calories and decrease the consumption
of food sources of protein. In the region of locus stunting food expenditures higher
calorie sources for oil and coconut commodities, sugar, wheat, and instant noodles,
while low food consumption for food sources of protein from fish and other aquatic
animals, eggs, and milk commodities.
The results of the LA/AIDS model suggest the dominant factors that affect
household food consumption expenditures are egg and milk prices, oil and coconut
prices, household income, and stunting locus areas. The high consumption of
prepared food and beverage consumption in Riau Province shows no difference to the
increasing prevalence of stunting in locus and non locus stunting areas. The value of
price elasticity itself is inelastic to commodities rice, meat, fish and other aquatic
animals, eggs, and milk, oil, and coconut, sugar, legume, while the commodities
tubers and prepared food and beverages were so responsive to price changes
themselves. Based on the cross-price elasticity of all inelastic commodities with
varying positive and negative signs of changes in food prices, most commodities are
complex. Income elasticity is of positive value to all food commodities. Increased
revenue responsive to legume commodities, so categorized as legume as luxury goods
for households in Riau Province.
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The simulated implications of price policy vary across each food commodity
group, while the increase in revenue positively affects consumption expenditures of
tubers, meat, fish and other aquatic animals, oil and coconut, and processed foods
and beverages. Alternative policy recommendations that can be taken by the
government are to maintain the stability of rice, oil, and coconut prices, as well as
increase household income. Then to improve people's food intake and reduce stunting
prevalence in Riau Province can be done by increasing the consumption of food
sources of protein from fish and other marine animals, eggs, and milk commodities
and reducing the consumption of food sources of calories from sugar, oil, and
coconut. In addition, the government can also promote healthy food education and
campaign for fish and other aquatic animals-eating movements in Riau Province.
Key words : Food consumption, stunting, LA/AIDS, elasticity, Riau Province.
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