Nutrient elasticities of food consumption: the case of Indonesia

Faharuddin,; Mulyana, Andy; Yamin, Muhammad; Yunita, Yunita

doi:10.1108/jadee-02-2016-0008

Cited by 20 publications

(21 citation statements)

References 32 publications

(43 reference statements)

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“…These results are consistent with that of Gulseven and Wohlgenant (2015) [ 34 ], which show that the coefficient of protein enjoys the highest value, followed by carbohydrates and fat. Rising expenditures or incomes, as demonstrated by Widarjono (2012) [ 59 ] and Faharuddin et al (2014) [ 60 ], leads to increased consumption of fats and proteins in comparison with the consumption of calories and carbohydrates.…”

Section: Empirical Results and Discussionmentioning

confidence: 99%

U.S. Consumer Demand for Plant-Based Milk Alternative Beverages: Hedonic Metric Augmented Barten’s Synthetic Model

Yang

Dharmasena

2021

Foods

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Consumers in the U.S. increasingly prefer plant-based milk alternative beverages (abbreviated “plant milk”) to conventional milk. This study is motivated by the need to take into consideration varied nutritional and qualitative attributes in plant milk to examine consumers’ purchasing behavior and estimate demand elasticities which are achieved by a new approach combing hedonic pricing model with Barten’s synthetic demand system. The method of estimation is enlightened from the common practice of companies differentiating their products in multidimensions in terms of attributes. A research dataset was uniquely created by associating the products’ purchase data from Nielsen Homescan dataset with exclusive first-hand nutritional data. Estimations began with creating a multidimensional hedonic attribute space based on the qualitative information of different types of plant milk and conventional milk available to consumers and then calculating the hedonic distances by Euclidean distance measurement to reparametrize Barten’s synthetic demand system. Estimation results showed that the highest own-price elasticity pertained to soy milk which was −0.25. Three plant milk types had inelastic demand. Soy milk exerted substituting effects on all types of conventional milk products and vice versa. Soy milk, rice milk and almond milk entertained complementary relationships between each other and four types of conventional milk were strong substitutes within the group.

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Section: Empirical Results and Discussionmentioning

confidence: 99%

U.S. Consumer Demand for Plant-Based Milk Alternative Beverages: Hedonic Metric Augmented Barten’s Synthetic Model

Yang

Dharmasena

2021

Foods

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“…= ∏ ′ , and ln ( ) We included six demographic variables in the model to control the variation of preference due to the differences in the demographic characteristics of the household as follows: household size; number of children under five years old; urban/rural classification; educational attainment of household head (completed senior high school or not); income groups (40% lowest income, 40% medium income, and 20% highest income); and employment sector of household head (agriculture or nonagriculture). We then simplify the estimation of the demand model by aggregating all food commodities into the following 14 groups: rice, non-rice staple, tubers, fish, meat, eggs, milk, vegetables, pulses, fruits, oil and grease, beverage ingredients, spices, and other foods, following Faharuddin et al (2017).…”

Section: Methodsmentioning

confidence: 99%

Agricultural Households’ Food Demand: Evidence from Indonesia

Faharuddin¹,

Yunita²,

Mulyana³

et al. 2019

AJAD

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This study analyzes the consumption patterns of agricultural households in Indonesia using the 2013 first quarter data of the Indonesian National Socioeconomic Survey (Survei Sosial Ekonomi Nasional [Susenas]) and the quadratic almost ideal demand system (QUAIDS) approach. Indonesian households' food expenditure is mostly on rice, vegetables, and fish. Rice expenditure is a top priority particularly in agricultural household spending in Indonesia. Agricultural households consume more calories and carbohydrates, but less protein and fat, than nonagricultural households do. The expenditure elasticities of agricultural and nonagricultural households are significantly different only in the following commodities: milk, other foods, meat, fruits, and rice. The differences in the price elasticities of the two household groups are found in non-rice staple, other foods, rice, and milk. The expenditure elasticity of nutrients of agricultural households tend to be higher.

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“…The ordinary least squares (OLS) estimation results of Equation (2) reported in Table 8 show that estimated income elasticities for all households were significant and positive for calories, all macronutrients, and all micronutrients. These results are in accordance with those from previous studies.…”

Section: Modelsmentioning

confidence: 99%

“…Achieving a balanced diet in terms of nutritional composition enables individuals to perform required daily activities, and populations to achieve appropriate health standards ( 2 ). However, it is widely established in the literature that the demand for food depends on the specific food group, nutritional value, and availability, along with the cultural values, socio-demographic characteristics, preferences, and lifestyles of consumers.…”

Section: Introductionmentioning

confidence: 99%

Increased Household Income Improves Nutrient Consumption in Pakistan: A Cross-Sectional Study

et al. 2021

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The provision of high-quality food is a primary factor in ensuring adequate nourishment and preventing malnourishment-related diseases in Pakistan. This study, therefore, aimed to quantify the impact of income on nutrient consumption in Pakistan, with the hypothesis that income has a primary role in reducing malnourishment in the developing world. To do this, we estimated nutrient–income elasticity—defined as the proportion of change in nutrient consumption in response to a change in income—for total calories, macronutrients, and micronutrients, using the nationally representative Household Integrated Economic Survey data (2010–2011) for Pakistan. Nutrient–income elasticity values were derived using several parametric regression approaches. We also assessed the non-linearity and endogeneity of the relationship. Calorie–income elasticity was found to be significantly different from zero, irrespective of the estimation technique used. Income elasticity for macronutrients and micronutrients was also found to be significantly different from zero, ranging from 0.29 to 0.65. This study, therefore, supports the hypothesis that increased household income likely improves nutrient consumption.

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Nutrient elasticities of food consumption: the case of Indonesia

Cited by 20 publications

References 32 publications

U.S. Consumer Demand for Plant-Based Milk Alternative Beverages: Hedonic Metric Augmented Barten’s Synthetic Model

U.S. Consumer Demand for Plant-Based Milk Alternative Beverages: Hedonic Metric Augmented Barten’s Synthetic Model

Agricultural Households’ Food Demand: Evidence from Indonesia

Increased Household Income Improves Nutrient Consumption in Pakistan: A Cross-Sectional Study

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