Evidence map›Paper›PMID 36923891›Full record

ArticleHeliyon2023

A simulation of increasing rice price toward the disparity of income distribution: An evidence from Indonesia.

Fitrawaty, Wawan Hermawan, Muhammad Yusuf, Indra Maipita

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Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

FitrawatyFaculty of Economics, Universitas Negeri Medan, Indonesia.
Wawan HermawanFaculty of Economics and Business, Universitas Padjadjaran, Indonesia.
Muhammad YusufFaculty of Economics, Universitas Negeri Medan, Indonesia.
Indra MaipitaFaculty of Economics, Universitas Negeri Medan, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Considering the significance of rice as a staple food in Indonesia, this study aims to analyze the impact of various factors, i.e., domestic price production level, exchange rate, international rice price, and Gross Domestic Product (GDP) per capita, on domestic rice prices and the resultant disparity in income distribution and inequality in the country. Methods: A simulation analysis has been performed to assess the impact of the above-mentioned factors on rice prices and the resultant income disparity in Indonesia. For that, input data from 2006 to 2020 was used to depict the change in domestic rice prices from 2021 to 2026 due to independent variables changes. Findings: Results revealed that a regular increase in rice production decreases rice prices in the longer term. Besides, a rise in the exchange rate decreases rice prices, and a fall in the exchange rate results in higher rice prices. Results also showed the insignificant impact of international rice prices on domestic rice prices in Indonesia. In contrast, an increase in per capita income reflected an increase in rice prices. Moreover, the result of the study exemplifies that the expenditure for rice has a very low elasticity (0.0975) compared to the expenditure on non-rice food (0.4096). More than half of the total household expenditure (50.71%) is spent on food, while the rest (49.29%) is used for non-food. The increase in rice prices affects the rise of income amongst farmers and declines the income of non-farmers. Hence it affects the decline of disparity in households' income distribution. Originality/value: This study adds value to the existing literature with several implications for practitioners, policymakers, and government organizations to take necessary measures to stabilize rice prices and income distribution among the various income groups.

Indexed as

DisparityExchange rateGDP Per capitaIncome distributionInternational rice priceRice price

Identifiers

PMID36923891
PMCPMC10008976

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.