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1 – 6 of 6Eka Rastiyanto Amrullah, Aris Rusyiana and Hiromi Tokuda
This study aims to explore the structural changes in food consumption expenditure in Indonesia before and during the COVID-19 pandemic using data from the 2020 and 2021 National…
Abstract
Purpose
This study aims to explore the structural changes in food consumption expenditure in Indonesia before and during the COVID-19 pandemic using data from the 2020 and 2021 National Socioeconomic Survey by Statistics Indonesia.
Design/methodology/approach
The quadratic almost-ideal demand system analysis model is used to estimate changes in the share of food consumption and the demand and price elasticity of food commodities in Indonesia. A total of 15 food items are analyzed to determine changes in food consumption expenditure during the COVID-19 pandemic.
Findings
The results of this study show that during the COVID-19 pandemic, there was an increase in the proportion of household expenditure related to the consumption of home-cooked food. Simultaneously, the proportion of expenditure on prepared food significantly decreased.
Practical implications
The pandemic has changed household food consumption in Indonesia. This study recommends that the government ensure the availability of supplies and stability of food prices and provide financial subsidies to maintain food consumption, especially for lower-income communities.
Originality/value
There has yet to be a study on the changes in household food consumption during the COVID-19 pandemic in Indonesia. Therefore, this research provides empirical evidence that there were changes in household food expenditure during the pandemic.
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Eka Rastiyanto Amrullah, Hironobu Takeshita and Hiromi Tokuda
The agricultural extension system in Indonesia has experienced its ups and downs in line with the sociopolitical dynamics of the country. This study examines the impact of access…
Abstract
Purpose
The agricultural extension system in Indonesia has experienced its ups and downs in line with the sociopolitical dynamics of the country. This study examines the impact of access to agricultural extension on the adoption of technology and farm income of smallholder farmers in Banten, Indonesia.
Design/methodology/approach
This study uses a quasi-experimental research design to estimate the impact outcomes at the farm level, with methods that form part of the counterfactual framework.
Findings
Estimation results show that farming experience, off-farm income, irrigation, group membership, mobile phones and livestock ownership significantly affect extension access. The results of this main study show the important role of extension access to technology adoption and agricultural income. These studies found consistently positive and statistically significant effects of access to extension services on technology adoption and farm income.
Research limitations/implications
The consistent positive and significant effect of extension access implies that public investment by the government in agricultural extension can optimize the potential impact on technology adoption and agricultural income, which also affects the distribution of the welfare of rural smallholder farmers.
Originality/value
Agricultural extension as a key to increasing technology adoption. However, the impact of access to agricultural extension in Indonesia has received less attention in terms of adoption and farm income.
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Eka Rastiyanto Amrullah, Hironobu Takeshita and Hiromi Tokuda
This study identified the determinants of improved rice variety adoption and measured their impact on farm productivity and the income of smallholder farmers in Indonesia.
Abstract
Purpose
This study identified the determinants of improved rice variety adoption and measured their impact on farm productivity and the income of smallholder farmers in Indonesia.
Design/methodology/approach
We used a multistage sampling procedure and data from household surveys in four districts in the Banten region of Indonesia. An endogenous switching regression (ESR) model was used to estimate the impact of adoption, and the propensity score matching (PSM) non-parametric method tested the strength of the ESR findings.
Findings
The farm productivity of adoption increased by 11.45% and the income of smallholder farmers increased by 12.10% when compared to that of traditional methods.
Research limitations/implications
The positive and significant effects of improved rice variety adoption indicated that research programs that develop improved rice varieties can optimize the productivity and income of smallholder farmers.
Originality/value
Adopting improved rice varieties increases the productivity and income of smallholder farmers, and the level of education, rice farming experience, access to extension workers, off-farm work, and mobile phone ownership have positive and significant effects on the adoption of improved rice varieties.
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Eka Rastiyanto Amrullah, Hiromi Tokuda, Aris Rusyiana and Akira Ishida
The COVID-19 pandemic has significantly affected access to adequate and nutritious food, resulting in hunger, malnutrition and increased food insecurity. The purpose of this study…
Abstract
Purpose
The COVID-19 pandemic has significantly affected access to adequate and nutritious food, resulting in hunger, malnutrition and increased food insecurity. The purpose of this study was to identify the households in Indonesia that were most likely to experience the pandemic's effects.
Design/methodology/approach
Using raw data from nationwide Indonesian household socioeconomic and expenditure surveys (SUSENAS 2020 and SUSENAS 2021), food insecurity was measured using the Food Insecurity Experience Scale (FIES). A multinomial logistic regression model was used to analyze the data.
Findings
The prevalence of mild, moderate and severe food insecurity increased from 20.61% to 21.67% and from 1.28% to 1.37%, respectively, between 2020 (the initial stage of the COVID-19 pandemic) and 2021 (the period during which the infection rapidly spread nationwide). The estimation results of the multinomial logistic regression analysis indicated that urban households, which may have had more difficulties with income generation and access to food due to behavioral constraints, were more likely to be affected by the pandemic. Additionally, economically vulnerable poor households, households with low levels of education or unemployed heads were more likely to be affected by the pandemic.
Originality/value
To the best of the authors knowledge, this is the first study to access the impact of economic downturn and social restrictions due to the COVID-19 pandemic on household food insecurity in Indonesia, using the nationwide household survey data.
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Wiliyanti Sutanto, Mayumi Sakaguchi, Eka Rastiyanto Amrullah, Aris Rusyiana and Akira Ishida
Using nationally representative data, this study estimated the probability of a household receiving RASKIN rice in general as well as the rate of excluding poor households and…
Abstract
Purpose
Using nationally representative data, this study estimated the probability of a household receiving RASKIN rice in general as well as the rate of excluding poor households and including nonpoor households in relation to the targeting accuracy of the RASKIN program.
Design/methodology/approach
The data came from the National Socioeconomic Survey conducted by the Central Bureau of Statistics in March 2015. Several independent variables were included, such as the head of household's age, gender and marital status, in addition to highest educational level among family members, household size, economic status, regional district and residential classification.
Findings
The results showed that a household's probability of receiving RASKIN rice increases if the head of household is older, female and a widower, and the household has more human capital accumulation, more family members, lower economic status and is in a rural area and/or Java and Nusa Tenggara. The estimated probabilities of poor households excluded from the RASKIN program and nonpoor households included are 44.8 and 35.1%, respectively, suggesting mistargeting occurred where eligible recipients were undercovered, and revealed the loss of funds to ineligible households.
Originality/value
The present study focused on the program's targeting accuracy while at the same time keeping in mind the social and geographical conditions in Indonesia. To the best of the authors’ knowledge, little to no such research has been conducted.
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Eka Rastiyanto Amrullah, Akira Ishida, Ani Pullaila and Aris Rusyiana
The purpose of this paper is to clarify the socioeconomic determinants of household food insecurity in Indonesia using individual household data obtained from the 2015 nationwide…
Abstract
Purpose
The purpose of this paper is to clarify the socioeconomic determinants of household food insecurity in Indonesia using individual household data obtained from the 2015 nationwide household socioeconomic and expenditure survey called Survei Sosial Ekonomi Nasional.
Design/methodology/approach
A stereotype logistic regression model is applied to detect factors determining household food security.
Findings
The results from the cross-analysis between calorie consumption and share of food expenditure to total household expenditure (Engel coefficient) indicate that 20.8 percent of households were in the “food insecure” category, 21.5 percent in the “lack of food” category, 26.6 percent in the “vulnerable” category and the remaining 31.2 percent in the “food secure” category.
Research limitations/implications
The main limitation relates to the data set because the collection was conducted in March 2015. Furthermore, the analysis is restricted because of the limited availability of information on socioeconomic factors of respondents. Further research based on the latest data set with more detailed information on respondents is necessary to deepen the discussion.
Originality/value
Researchers have not specifically discussed the factors determining household food security in Indonesia using reliable nationwide household survey data. The estimation results clearly indicate that a household fulfilling one or more of the following conditions is more likely to be in the “food insecure” category: many members, low education level of household head, divorced household head, household head is a smoker, household head engages in agriculture or construction work and residence is in rural or backward regions.
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