The relationship between socioeconomic status and consumption pattern of fishermen household in Indonesia

Rusdiana, A.; Sanuri,; Subandi, Muhammad; Mulyawan, Setia

doi:10.18488/journal.1005/2020.10.1/1005.1.141.148

Cited by 4 publications

(3 citation statements)

References 1 publication

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“…Animal source foods have been demonstrated to benefit child growth and cognitive development (Neumann et al, 2007; Dror and Allen, 2011;Iannotti et al, 2017;Iannotti, 2018). Here we found that fishing households negatively correlated with CDD, similar to other studies where involvement in fishing activities was not associated with improved household fish consumption (Garaway, 2005;Fiorella et al, 2014;Rusdiana and Mulyawan, 2020). As evidenced from our qualitative research findings, fishing households tend to sell fish in order to purchase the less expensive starch-based foods (Cartmill et al, 2022).…”

Section: Nutrientsupporting

confidence: 88%

Sustainable aquatic food systems: Multisectoral analysis of determinants of child nutrition in coastal Kenya

Kamau-Mbuthia

Lesorogol²,

Wamukota³

et al. 2023

Front. Sustain. Food Syst.

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Marine foods produced by small-scale fishers can make vital contributions to sustainable, healthy food systems with multisectoral considerations of public health nutrition, gender equity, economics, and marine ecology. This pilot study aimed to map the multidimensional determinants of fish food security and young child nutrition in four coastal communities of Kenya with a view toward designing a large intervention trial. We compared anthropometric and dietary diversity indicators of children under 5 years in fishing vs. non-fishing households. Mixed methods included household surveys, 24-h recalls for dietary intake, and anthropometric measures of children. Child dietary diversity score (CDDS) and height-for-age Z (HAZ) were primary outcomes tested in ordinary least square regression modeling. Stunting was widely prevalent (20.2%), as were morbidities for acute diarrhea (29.0%) and fever (46.5%), with no statistically significant differences in fishing compared to non-fishing households. High proportions of children showed nutrient intake inadequacies for vitamins A, C, and E, iron and zinc; <50% met requirements for all nutrients except protein, which was derived primarily from plant-based foods. Regression modeling showed children living in fishing households were associated with lower CDDS. Maternal education, maternal body mass index (BMI), and household livelihood diversity were positively associated with both CDDS and HAZ, while child morbidities and north coast (of Mombasa) residence showed negative associations. Our findings highlight nutritional vulnerabilities within a coastal food system of Kenya and the need to involve multiple sectors—education, environment, health, finance, communications, and governance and policy—in deriving solutions.

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Section: Nutrientsupporting

confidence: 88%

Sustainable aquatic food systems: Multisectoral analysis of determinants of child nutrition in coastal Kenya

Kamau-Mbuthia

Lesorogol²,

Wamukota³

et al. 2023

Front. Sustain. Food Syst.

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“…Indonesians' consumption pattern has varying determinants leading to the volatility viewed from some aspects. Rusdiana et al, (2020) suggests that consumption to fisherman family group is affected by income and number of family members. The relationship between income and consumption in fisherman family group in Indonesia shows that the increased income tends to be used for consumption with MPC of 0.908.…”

Section: Jurnal Ekonomi Pembangunan Issn 1411-6081 E-issn 2460-9331 136mentioning

confidence: 99%

Estimating Aggregate Consumption Function in Indonesia: An Error Correction Approach

Prasetyanto

Panjawa²,

Prakoso³

et al. 2022

JEP

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The aggregate consumption pattern in Indonesia tends to be volatile due to economic, social, political instability, and disasters affecting consumption expenditure and social welfare. Relooking at public expenditure and its determinant with the 1992-2019 time series is the focus of current research. This review aims to find out the change of aggregate consumption in Indonesia with the Life-Cycle Hypothesis. The method used to authenticate the research was the Direct Error Correction Model. Using this approach, short- and long-term consumption estimation will be found that is useful to stakeholders. The result of the test shows there is a relationship between determinants and aggregate consumption in Indonesia in both the short and the long terms. In short term, inflation affects the change of aggregate consumption, while in the long term, GDP, interest rate, and inflation affect consumption. Estimation building on hypothesis testing is useful to policymakers, particularly for macro-credential adjustment.

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“…SHAPE_MN represents the complexity of the patch. Lastly, FRAC_MN stands for the degree of irregularity of RSs [ 15 ].…”

Section: Research Scheme Designmentioning

confidence: 99%

Deep Learning-Based Artificial Neural Network-Cellular Automata Model in Constructing Landscape Gene in Shaanxi Ancient Towns under Rural Revitalization

Wei

2022

Computational Intelligence and Neuroscience

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With the development of modern industrialization, the rational planning of land resources, especially rural settlements (RSs), has become an important part of rural revitalization. Optimizing the RS spatial layout and enhancing its evolution simulation can encourage effective land resource allocation. It helps improve rural residents’ production and living standards, alleviates the pressure of urban and rural land conflicts, and promotes the common development of urban and rural economies. This work mainly uses the ANN-CN (artificial neural network-cellular automata) model to study the cultural landscape gene construction of ancient towns in Shaanxi. First, RSs’ spatial layout and landscape pattern index (LPI) in Shaanxi are analyzed. Second, the ANN-CA model is designed using the artificial neural network (ANN). Finally, Hua Yang Ancient Town in southern Shaanxi, Feng Huo Town in Guan Zhong, and Zhong Jiao Town in Northern Shaanxi are selected as the research objects. The influencing factors of spatial layout are extracted, and the evolution extracted of spatial layout is simulated based on the ANN-CA model. The simulation experiment finds that the area change of Hua Yang Ancient Town is more obvious than that of the other two ancient towns, with a change rate of 6.98%. Although the area change rate of Feng Huo Town is 19.79%, the actual change area is less than that of Hua Yang Ancient Town. Second, comparing the simulation accuracy of the model under different parameters, we can obtain the most suitable parameter for predicting the ancient towns’ land-use type and construing landscape gene land. Specifically, for Hua Yang Ancient Town, T = 0.9 and the random disturbance parameter α = 1.0. For Zhong Jiao Town, T = 0.8 and α = 1.0. For Feng Huo Town, T = 0.9 and α = 1.0. It is hoped that this work can further carry forward Shaanxi’s traditional culture and carry out the protective development of traditional rural buildings.

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The relationship between socioeconomic status and consumption pattern of fishermen household in Indonesia

Cited by 4 publications

References 1 publication

Sustainable aquatic food systems: Multisectoral analysis of determinants of child nutrition in coastal Kenya

Sustainable aquatic food systems: Multisectoral analysis of determinants of child nutrition in coastal Kenya

Estimating Aggregate Consumption Function in Indonesia: An Error Correction Approach

Deep Learning-Based Artificial Neural Network-Cellular Automata Model in Constructing Landscape Gene in Shaanxi Ancient Towns under Rural Revitalization

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