scholarly journals Analisis Pola Konsumsi Pangan Berdasarkan Status IPM di Jawa Timur

2018 ◽  
Vol 18 (2) ◽  
pp. 191-213 ◽  
Author(s):  
Dewi Mayasari ◽  
Dias Satria ◽  
Iswan Noor

The Pattern of Food Consumption Based on HDI in East JavaThe objectives of this article are (1) to analyze the influence of socio economic characteristics in influencing patterns of food consumption by HDI and (2) Analyze demand responses (elasticity) of East Java household to food prices and income changes. Linear Approximation Almost Ideal Demand System (LA/AIDS) and elasticity are used to answer the objectives by using microdata Susenas 2016. The result indicates that generally, socio economic characteristics contribute substantially in determining household food consumption patterns and based on their elasticity values, food commodities in East Java are price inelastic and more responsive to income changes.Keywords: Consumption Patterns; Demand Systems; LA/AIDS; East JavaAbstrakPenelitian ini bertujuan untuk (1) menganalisis pengaruh karakteristik sosial ekonomi berdasarkan status IPM daerah terhadap pola konsumsi pangan rumah tangga dan (2) menganalisis elastisitas konsumsi pangan di Jawa Timur sebagai respons atas perubahan harga dan pendapatan. Model sistem permintaan Linear Approximation Almost Ideal Demand System (LA/AIDS) dan konsep elastisitas digunakan untuk menjawab tujuan tersebut dengan menggunakan data mikro Susenas 2016. Hasil penelitian menunjukkan bahwa secara umum, karakteristik sosial ekonomi memiliki andil yang besar dalam menentukan pola konsumsi pangan rumah tangga dan berdasarkan nilai elastisitasnya, komoditas pangan di Jawa Timur bersifat inelastis terhadap harga dan lebih responsif terhadap perubahan pendapatan.

2020 ◽  
Vol 5 (12) ◽  
pp. 256-265
Author(s):  
Faiqoh Amalina ◽  
Ratya Anindita ◽  
Abdul Wahib Muhaimin

The efforts of the Government in food diversification of rice to local food thus generating household conditions that tend to switch to wheat consumption compared to local commodities. So the necessary analyse to look at preferences in consuming the food commodities. Besides seeing the influence of price changes and the expenditure against the demand for food as the evaluation of food diversification successfully implemented. This analysis were using Susenas data (2016) analyzed by the Linear Approximation/Almost Ideal Demand System (LA/AIDS) model. The results of the analysis note that the highest preference is present on rice and flour, seen from the amount of consumption as well as the proportion of its expenditure. The results of the demand elasticity indicates that diversifies effort still hadn't done very well because there were still a dependency of the rice. So that the effort to maintain the affordability of the rice should still be enacted.


2019 ◽  
Vol 1176 ◽  
pp. 042077
Author(s):  
Sar Sary ◽  
Xu Shiwei ◽  
Yu Wen ◽  
Siek Darith ◽  
Sophannak Chorn

1983 ◽  
Vol 15 (2) ◽  
pp. 27-33 ◽  
Author(s):  
Chung L. Huang ◽  
Robert Raunikar

In recent years, significant changes have taken place in the food consumption patterns of American consumers. Evidence indicates that the ongoing changes in U.S. household food expenditure patterns occurred in response not only to sudden increases in food prices in the early 1970s and the recent salient inflationary period (Buse and Fleischner; Salathe), but also to demographic shifts, tastes, and preferences (LeBovit).


2021 ◽  
Vol 883 (1) ◽  
pp. 012055
Author(s):  
N R Timisela ◽  
W Girsang ◽  
L Tupamahu

Abstract This study aims to analyze food consumption patterns, the hope food patterns, and the factors that influence household food consumption patterns. The research was located in Suli and Liang Villages, Central Maluku Regency. The location was determined purposively based on the 2017 Central Maluku Regency Food Security and Vulnerability Atlas (FSVA) results included in Priority 1 and 2 as Food Vulnerable Areas. The research sample was determined by simple random sampling using the Slovin formula with a total sample size of 87 households, 44 (Suli Village) and 43 (Liang Village). The research data were analyzed qualitatively and quantitatively. The results showed that the pattern of household food consumption in the two villages was lower than the ideal weight of food consumption, namely 870 g/capita/day, respectively 783.83 (Liang Village) and 709.81 (Suli Village). The score of the hope food pattern in Liang Village is 75, and Suli Village is 76.9. Analysis of the factors that influence household food consumption patterns in the two villages with a coefficient of determination of 51.56 (Liang Village) and 59.19 (Suli Village). The results of the t-test show that the factors that influence the pattern of household food consumption in Liang Village include income (X 1), the number of family members (X 2), and the education of housewife (X 4), while the factors that influence food consumption patterns Households in Suli Village include income (X 1), age of the housewife (X 3) and education of housewife (X 4).


Author(s):  
Abdulazize Wolle ◽  
Kalle Hirvonen ◽  
Alan de Brauw ◽  
Kaleab Baye ◽  
Gashaw T. Abate

2019 ◽  
Vol 11 (5) ◽  
pp. 1378 ◽  
Author(s):  
Jessica Diehl ◽  
Kate Oviatt ◽  
Amanda Chandra ◽  
Harpreet Kaur

As growing populations in urban areas demand greater food supplies, the poor—particularly poor migrants—may be at higher risk for food insecurity. Evidence suggests that the urban poor who pursue agriculture in the city as a livelihood are more food secure. Thus, it could be assumed that migrants involved in urban agriculture are also in a better position to meet nutritional needs. The aim of this research was to explore household food security among migrant urban farmers using data from studies conducted in three rapidly urbanizing cities: Delhi, India; Jakarta, Indonesia; and, Quito, Ecuador. Surveys and semi-structured interviews were conducted with market-oriented small-to-medium scale farmers in each city to understand livelihood and migrant status, household food consumption patterns, and food security. In general, we found that participation in urban agriculture had a positive impact on household food security among participants through direct (self-consumption) and indirect (improved income, improved access) means. Although each case city expressed a different form of low-income migrant practice of urban agriculture, findings suggest that growing food in the city offers some protection against food insecurity through improved quantity, quality, and diversity of food options. This study is particularly relevant in the context of the Sustainable Development Goals (SDGs) to end hunger, achieve food security and improved nutrition, and promote sustainable agriculture. These factors guide development goals and priorities. Given that rural-urban migrant trends are predicted to continue, this exploratory study offers empirical evidence related to rural-urban migrants, food security, and urban agriculture.


2018 ◽  
Vol 2 (1) ◽  
pp. 76-83
Author(s):  
Siska Alfiati

Food has become a primary human need that must be fulfilled before fulfilling other living needs such as clothing, housing and education. This study aims to analyze food consumption patterns and factors that influence the food consumption patterns of households in Prabumulih City. The method of analysis is done by tabulating data, then analyzed using the calculation of energy consumption adequacy based on the PPH reference. To analyze the influencing factors carried out using multiple linear regression analysis. Sampling is done by simple random sampling method as many as 100 housewives. The results of this study indicate that the food consumption patterns of households in Prabumulih City have not reached ideal numbers. Simultaneously the income variable, the number of family members, the age of the mother, the level of maternal education significantly influence the food consumption patterns of households in Prabumulih City, while partially the income and number of families have a significant effect on household food consumption patterns in Prabumulih City. Keywords: Pattern of Food Consumption, Household.


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