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All Journal Jurnal Wilayah dan Lingkungan QALAMUNA: Jurnal Pendidikan, Sosial, dan Agama Jurnal SEPA (Social Economic and Agribusiness Journal) Buletin Ilmiah Marina : Sosial Ekonomi Kelautan dan Perikanan International Journal of Research on English Teaching and Applied Linguistics Prosiding Seminar Nasional Official Statistics Leksema: Jurnal Bahasa dan Sastra Jurnal Ekonomi dan Pembangunan Indonesia Economic and Finance in Indonesia Journal Of Agriculture Sciences (Agrosci)
Budiasih Budiasih
UIN Raden Mas Said Surakarta
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Social Sciences

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Analyzing the Linkage between CO2 Emissions, Economic Growth, Energy Intensity and Consumption: A VECM Model Application Adjie, Farah Bunga Amalia; Budiasih, Budiasih
Jurnal Wilayah dan Lingkungan Vol 14, No 1 (2026): April 2026
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jwl.14.1.1-16

Abstract

Indonesia is one of the 198 countries which in 1992 signed the United Nations Framework Convention on Climate Change (UNFCCC). UNFCCC formulated international agreements to reduce global greenhouse gas emissions as an effort to combat rising global temperatures. However, in 2022, Indonesia currently is one of the largest carbon dioxide emitters in the world with a total carbon emission of 728.88 million Tons of CO2 and occupies the 6th position in the world. Fossil fuels are still used as the main energy source in Indonesia to support economic growth with a contribution of 87,7 percent. This research aims to analyze the shape of the relationship between CO2 emissions and economic growth, and to analyze the relationship between CO2 emissions, economic growth, energy intensity, and renewable energy consumption in Indonesia. Regression modeling is used in finding the shape of the relationship between CO2 emissions and economic growth, which resulted in a monotonically increasing relationship. Vector Error Correction Model (VECM) is used to analyze the relationship between CO2 emissions, economic growth, energy intensity, and renewable energy consumption, which found that in the long run economic growth and energy intensity will increase CO2 emissions with the parameters are positively significant to CO2 emission. Meanwhile, an increase in renewable energy consumption will reduce CO2 emissions with the parameter is negatively significant to CO2 emission. However, in the short term only energy intensity has a significant effect on CO2 emissions. With this research, it can be determined how to mitigate CO2 emissions and reducing the impact of the rising greenhouse gas emissions on environment.
The Moderating Effect of Income Inequality on the Income–Emissions Relationship in G20 Countries Fadilah, Zahra Rizky; Budiasih, Budiasih
Economics and Finance in Indonesia Vol. 71, No. 2
Publisher : UI Scholars Hub

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Abstract

This study analyzes the moderating effect of income inequality on the income–emissions relationship in the environmental Kuznets curve (EKC) framework. Findings indicate that the relationship is inverted U-shaped in middle-income G20 countries, but monotonically increasing in high-income G20 countries. Interestingly, income inequality moderates this relationship only in the latter group. These findings suggest that middle-income G20 countries should focus on raising income per capita to mitigate environmental degradation, while their high-income counterparts need to prioritize reducing income inequality to effectively decouple income from emissions.
EFISIENSI TEKNIS PRODUKSI TANAMAN JAHE DI PROVINSI JAWA TIMUR: PENDEKATAN STOCHASTIC FRONTIER ANALYSIS Aziz, Muhammad Fahrul; Budiasih, Budiasih
SEPA: Jurnal Sosial Ekonomi Pertanian dan Agribisnis Vol 21, No 1 (2024): FEBRUARY
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/sepa.v21i1.63051

Abstract

Ginger is a spice and medicinal plant that much needed by industry and society. However, ginger production decreased and even experienced a trade balance deficit. One solution that can be done is through intensification or efficiency improvement, especially in the largest ginger-producing province in Indonesia, namely East Java Province. The data used is raw data of Cost Structure of Horticultural Cultivation Household Survey (SOUH) 2018. The results of the analysis using Stochastic Frontier Analysis (SFA) show that four factors of production, namely land area, number of workers, amount of seeds used, and amount of fertilizer used, can increase ginger production significantly with a fairly high level of technical efficiency. However, technical inefficiencies are still found which cause ginger production to not be maximized. There are seven from eight variables that have a significant effect, namely farmer age, farmer education level, farmer group participation, pest control, receiving farm assistance, use of credit, and land ownership status. Meanwhile, the variable of farmer gender has no significant effect.
Co-Authors A.W, Vilentine Tessalonica Adjie, Farah Bunga Amalia Akhmad Anwar Dani Aziz, Muhammad Fahrul Danang Try Purnomo Diarty, Milie Dominicus Savio Priyarsono Fadilah, Zahra Rizky Fathan Fathan Febrianti, Mita Fitri Ana Ika Dewi Fitriyani, Arum Eka Hamidi, Danu Haryanto, Jasmine ‘Abqoriyah Izzuddin, Kautsar Hilmi Lesmana, Muhammad Erza LIA AMALIA Lukman, Raif Maulana Maharani Dyah Ayu Setiawati Manganti, Marella Dea Neli Agustina Ni Putu Eka Merliana Pramesty, Ni Putu Lidya Rahman, Muhamad Reza Tien Turmuktini Zen, Fauziah