Alyasa, Faisal Madjid
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Who emits more emission? the association between CO2 emissions and socio-economics characteristics of Indonesian household Alyasa, Faisal Madjid; Komarulzaman, Ahmad; Isjwara, Harlan Dimas
Jurnal Ekonomi & Studi Pembangunan Vol 25, No 1: April 2024
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jesp.v25i1.20326

Abstract

Much research has been done on identifying socio-economic household links in developed countries. However, the study of household carbon emission (HCE) levels and related variables still needs to be examined, especially in developing countries. The study uses an ordinary least squares model to pinpoint the socio-economic elements that affect a household's carbon emission levels. SUSENAS (National Socio-economic Survey) data from March 2019 and 2021, covering 655,694 households, were used. This study used ordinary least squares (OLS) for the regression and dominance analyses (DA) to determine the most crucial factors affecting the HCE. The household characteristics, individuals, and residential conditions are used to measure socio-economic situations. The DA analysis shows that income and household size are the most crucial determinants of HCE. The OLS analysis reveals that the income variable exhibits a non-linear relationship with HCE as an inverted U-shape in the total HCE and most consumption categories. Wealthier households generate higher levels of household carbon emissions than poorer households. The variable of household size demonstrates a positive relationship with the HCE. The composition of household members also significantly affects household carbon emission levels, where the presence of working members and toddlers tends to increase household carbon emissions. The research also finds differences in consumption patterns between urban and rural households, resulting in varying levels of carbon emissions. The findings of this study can assist policymakers in formulating targeted policies to reduce household carbon emissions.
Environmental-Friendly Consumption: Measuring the Impact of Lifestyle on Household Carbon Emissions Alyasa, Faisal Madjid; Hawari, Adam; Syawala, Afif Akbar; Sihaloho, Estro Dariatno Dariatno
Economics and Finance in Indonesia Vol. 71, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In 2060, Indonesia aims for a clean, emissions-free society. However, achieving this goal requires understanding how lifestyle choices affect household carbon emissions. This study, based on data from the Indonesian Family Life Survey 2014, examines the impact of different diets (plant-based, vegetarian, Mediterranean, full meat-based, and mixed) on carbon emissions. Using Ordinary Least Square Panel Data Regression, the research finds that plant-based and vegetarian diets have a lower carbon footprint compared to mixed and full meat-based diets. The findings suggest that transitioning to more environmentally friendly consumption patterns can help reduce carbon emissions and benefit the environment.
Who emits more emission? the association between CO2 emissions and socio-economics characteristics of Indonesian household Alyasa, Faisal Madjid; Komarulzaman, Ahmad; Isjwara, Harlan Dimas
Jurnal Ekonomi & Studi Pembangunan Vol. 25 No. 1: April 2024
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jesp.v25i1.20326

Abstract

Much research has been done on identifying socio-economic household links in developed countries. However, the study of household carbon emission (HCE) levels and related variables still needs to be examined, especially in developing countries. The study uses an ordinary least squares model to pinpoint the socio-economic elements that affect a household's carbon emission levels. SUSENAS (National Socio-economic Survey) data from March 2019 and 2021, covering 655,694 households, were used. This study used ordinary least squares (OLS) for the regression and dominance analyses (DA) to determine the most crucial factors affecting the HCE. The household characteristics, individuals, and residential conditions are used to measure socio-economic situations. The DA analysis shows that income and household size are the most crucial determinants of HCE. The OLS analysis reveals that the income variable exhibits a non-linear relationship with HCE as an inverted U-shape in the total HCE and most consumption categories. Wealthier households generate higher levels of household carbon emissions than poorer households. The variable of household size demonstrates a positive relationship with the HCE. The composition of household members also significantly affects household carbon emission levels, where the presence of working members and toddlers tends to increase household carbon emissions. The research also finds differences in consumption patterns between urban and rural households, resulting in varying levels of carbon emissions. The findings of this study can assist policymakers in formulating targeted policies to reduce household carbon emissions.