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The Analysis of Inclusive Green Growth In Indonesia Aminata, Jaka; Nusantara, Dzulfikar Ilham Kusuma; Susilowati, Indah
Jurnal Ekonomi & Studi Pembangunan Vol 23, No 1: April 2022
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jesp.v23i1.13811

Abstract

The concept of economic growth that has increased social welfare needs to be expanded in terms of its meaning and benchmarks. It focuses not only on economic activities but also on how they impact all of society in the present and the future. This study aims to analyze Indonesia’s inclusive green growth in 2015 and 2019. The method used to obtain the analysis is the Inclusive Green Growth Index (IGGI), conducted by Asian Development Bank (ADB). IGGI is a composite index consisting of three pillars: economic growth, social equity, and environmental sustainability. The study showed that Indonesia’s inclusive green growth was getting better where its average score in 2015 was 3.21, increasing to 3.36 in 2019. However, the improvement is not ideal yet because its mainly influenced by the economic growth pillar. In contrast, the average score of the environmental sustainability pillar declined from 4.19 in 2015 to 4.00 in 2019, accompanied by the decreasing social equity pillar score in 15 out of 34 provinces. All Efforts to achieve a better-balanced IGGI are improving and maintaining environmental quality, improving access to economic and political activities, improving public service and infrastructure in various provinces, and increasing superior and potential sectors to pursue economic disparity inter-provincial.
ECO TOURISM DEVELOPMENT STRATEGY IN SEMARANG CITY: Case of Mangrove Tugurejo Ecotourism Yuswinarto, Rahardyan Haris; Aminata, Jaka; Susilowati, Indah
Jurnal Ilmiah Bisnis dan Ekonomi Asia Vol 16 No 1 (2022): Jurnal Ilimiah Bisnis dan Ekonomi Asia
Publisher : LP2M Institut Teknologi dan Bisnis Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jibeka.v16i1.436

Abstract

This study aims to design an ecotourism development strategy and calculate its economic value. The research method used is a "mixed method" approach. The qualitative approach is obtained from in-depth interviews with parties involved in developing and managing the Tugurejo mangrove forest conservation, which is processed using the NVivo application. In contrast, the quantitative approach is processed using the analysis of the contingent assessment method (CVM) and willingness to pay (WTP). The study results show that the role and involvement of youth are crucial in the preservation of Ecotourism Areas. Conservation is needed in the sustainable development of Ecotourism Areas with the part and participation of youth. The average amount of WTP is Rp. 10.000.00. The economic value of income for one year is estimated to generate Rp revenue. 280,000,000.00 with a ticket of Rp. 5,000 (including parking).
Analysis of the Impact of Bitcoin Mining Ecosystem Growth on Global Electricity Consumption 2018-2022 Aminata, Jaka; Ismiyati, Ismiyati
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 4 No. 9 (2025): JETBIS : Journal of Economics, Technology and Business
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/jetbis.v4i9.215

Abstract

This study examines the relationship between the Bitcoin mining ecosystem and global primary electricity consumption using variables such as hashrate, Bitcoin market value, mining difficulty, adjusted transaction value, and the number of Bitcoin transactions. A quantitative method is employed, utilizing Vector Error Correction Model (VECM) analysis with E-Views 12. Granger causality analysis reveals a relationship between the number of Bitcoin transactions and hashrate, as well as between Bitcoin market value and Bitcoin transactions. Long-term findings show that Bitcoin hashrate and market value significantly increase global primary electricity consumption, while mining difficulty, adjusted transaction value, and transaction number do not. However, in the short term, mining difficulty and transaction number positively impact energy consumption, while transaction number alone does not have a significant effect.
Analysis of the Impact of Bitcoin Mining Ecosystem Growth on Global Electricity Consumption 2018-2022 Aminata, Jaka; Ismiyati, Ismiyati
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 4 No. 9 (2025): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/jetbis.v4i9.215

Abstract

This study examines the relationship between the Bitcoin mining ecosystem and global primary electricity consumption using variables such as hashrate, Bitcoin market value, mining difficulty, adjusted transaction value, and the number of Bitcoin transactions. A quantitative method is employed, utilizing Vector Error Correction Model (VECM) analysis with E-Views 12. Granger causality analysis reveals a relationship between the number of Bitcoin transactions and hashrate, as well as between Bitcoin market value and Bitcoin transactions. Long-term findings show that Bitcoin hashrate and market value significantly increase global primary electricity consumption, while mining difficulty, adjusted transaction value, and transaction number do not. However, in the short term, mining difficulty and transaction number positively impact energy consumption, while transaction number alone does not have a significant effect.
Oil Price Fluctuation and Their Impact on Indonesia Manufacturing Industry Nia, Cholida Ana; Aminata, Jaka
Jurnal Ilmu Ekonomi Terapan Vol. 7 No. 1 (2022)
Publisher : Department of Economics, Faculty of Economics and Business, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jiet.v7i1.32408

Abstract

This study analyzes the effect of crude oil price fluctuations using the model approach of Fukunaga et al (2009) where crude oil price fluctuations are influenced by several components such as oil supply shocks, global demand shocks, and oil-specific demand shocks. Then analyze the effect of each component on the aggregate industry production index, food, beverage and tobacco industry production index, chemical and goods from chemical raw materials, petroleum, rubber and plastic industry production index, metal, non-machinery and equipment production index. The research method is VAR in difference and the analysis methods are Granger causality test, Impulse Response Function (IRF), and Forecast Error Variance Decomposition (FEVD). Global demand shocks and oil-specific demand shocks have a significant and positive effect on crude oil prices, while oil supply shocks have no significant effect. Oil-specific demand shocks have a significant effect on aggregate industry production index variables, while oil supply shocks and global demand shocks have no significant effect. The decomposition variables of oil price fluctuations, namely oil supply shocks, global demand shocks, oil-specific demand shocks, have no significant effect on the food, beverage and tobacco industry production index chemical and goods from chemical raw materials, petroleum, rubber and plastic industry production index, metal, non-machinery and equipment production index of metal, non-machinery and equipment.