Decomposition of Household Income Inequality in Bali Based on the Migration Status

Pramandari, Putu Yusi; Ashar, Khusnul; Khusaini, Moh.; Pratomo, Devanto Shasta

doi:10.26668/businessreview/2022.v7i4.e568

Cited by 1 publication

(1 citation statement)

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“…The relationship between income and consumption is direct, i.e. if income increases, consumption will also increase (Bordón-Lesme et al, 2022;Duarte et al, 2021;Qian et al, 2022); some economists consider consumption to be the engine of any economy (Pramandari et al, 2022), since as there is enough consumption, needs will be better met and firms will sell more (Christodoulides et al, 2021;Hobson et al, 2021;Montoya et al, 2023), and thus if households earn and spend some income ( (Luri Minami et al, 2021;Pottier, 2022;Saito, 2022). The level of disposable income is the main determinant of household consumption (Bohlmann & Inglesi-Lotz, 2021;Chancel et al, 2023;Yang, 2023).…”

Section: Analysis Of Household Consumptionmentioning

confidence: 99%

An Analysis of Household Consumption for the City of Chachapoyas, Amazonas

Vega¹,

Dávila²,

Pantaleón³

et al. 2023

J. Professional Business Review

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Objective: The objective of this study was to identify the profile of academic research on blended learning in the world and propose a research agenda for the topic. Theoretical framework: Recent literature has reported good results in both student performance and satisfaction in blended learning (Dziuban et al., 2004). However, there is still much to investigate and learn about BL because it is a recent development. Method: The research is descriptive was non-experimental, the sample was calculated by probabilistic sampling, for the estimation of consumption a simple model of consumption was used a general linear regression model (GLRM) that was supported by the estimation by ordinary least squares (OLS). Results and conclusion: The results show an 83.0% degree of goodness of fit. In other words, 83.0% of the variability of consumption is explained by the variability of family income. The marginal propensity of households to consume is 62.6 percent, i.e., for each additional monthly income generated, 0.62 percent of this new income is converted into consumption expenditure, taking into account all the components of consumption, and the remainder, i.e., 37.4 percent, is spent on savings or investment, bearing in mind that the economic theory of saving and investment essentially are the same. Implications of the research: The study is important because it describes consumption at the microeconomic level, using an econometric model that explains the relationship between consumption and income. Socially, it describes consumer behavior. Originality/Value: The value of the study focuses on the analysis of income with consumption through an econometric model that describes how much of the income is destined for consumption.

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