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All Journal Jurnal Ekonomi Indonesia Eko-Regional: Jurnal Pembangunan Ekonomi Wilayah Eko-Regional: Jurnal Pembangunan Ekonomi Wilayah
Rinangku, Rahadian Eka Bagus Indra
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Economics, Econometrics & Finance Energy Environmental Science Public Health Social Sciences

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Carbon Trading Potential in the Forest Sector: Analysis at the Province Level in Indonesia Kartiasih, Fitri; Azhari, Azhari; Rinangku, Rahadian Eka Bagus Indra
Eko-Regional: Jurnal Pembangunan Ekonomi Wilayah Vol 20 No 1 (2025): March 2025
Publisher : Faculty of Economics and Business Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/er.v20i1.14668

Abstract

Forests are ecosystems that provide various important services for humanity, especially in mitigating climate change. Forests in Indonesia, as carbon absorbers and stores, have large market potential, where the carbon market provides opportunities to fund forestry sector projects. However, the forestry sector in Indonesia has not been able to take maximum advantage of the carbon market. This study aims to describe the condition and potential of the forestry sector carbon market, as well as estimate the carbon trading value of the forestry sector for 34 provinces in Indonesia in 2022. The method used is K-Medoids and calculating the carbon trading value. The study results show that areas on Papua Island and Kalimantan Island are the main potential contributors to carbon trading in Indonesia. These two islands have large areas of primary forest that are still maintained. This shows that the forest area in Papua Province is a strategic asset for Indonesia in its efforts to mitigate climate change through carbon trading.
Carbon Trading Potential in the Forest Sector: Analysis at the Province Level in Indonesia Kartiasih, Fitri; Azhari, Azhari; Rinangku, Rahadian Eka Bagus Indra
Eko-Regional: Jurnal Pembangunan Ekonomi Wilayah Vol 20 No 1 (2025): March 2025
Publisher : Faculty of Economics and Business Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/er.v20i1.14668

Abstract

Forests are ecosystems that provide various important services for humanity, especially in mitigating climate change. Forests in Indonesia, as carbon absorbers and stores, have large market potential, where the carbon market provides opportunities to fund forestry sector projects. However, the forestry sector in Indonesia has not been able to take maximum advantage of the carbon market. This study aims to describe the condition and potential of the forestry sector carbon market, as well as estimate the carbon trading value of the forestry sector for 34 provinces in Indonesia in 2022. The method used is K-Medoids and calculating the carbon trading value. The study results show that areas on Papua Island and Kalimantan Island are the main potential contributors to carbon trading in Indonesia. These two islands have large areas of primary forest that are still maintained. This shows that the forest area in Papua Province is a strategic asset for Indonesia in its efforts to mitigate climate change through carbon trading.
Optimizing tourism development using Google Trends and nighttime light (NTL) data Kartiasih, Fitri; Azhari, Azhari; Rinangku, Rahadian Eka Bagus Indra
Jurnal Ikatan Sarjana Ekonomi Indonesia Vol 14 No 3 (2025): English
Publisher : Jurnal Ekonomi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52813/jei.v14i3.792

Abstract

Tourism plays a strategic role in driving regional economic growth through job creation, cultural preservation, and equitable development. East Java Province recorded the highest number of domestic tourist visits in 2024; however, not all districts and cities have received digital exposure and infrastructure support proportional to their tourism potential. This study analyzes digital visibility, infrastructure development, and tourist arrivals across 38 districts and cities, and classifies them using descriptive analysis, Pearson correlation, and K-Means Clustering. Data sources include Google Trends (digital tourism interest), Nighttime Light imagery (infrastructure development), and domestic tourist statistics from BPS. The results identify four clusters with distinct characteristics, with Surabaya City showing high performance in all aspects, while other regions demonstrate strong digital interest but limited infrastructure. The study recommends targeted digital promotion, infrastructure enhancement for high-demand destinations, and strengthened tourism attractiveness in emerging areas, contributing to more efficient, inclusive, and sustainable tourism development.
Co-Authors Azhari Azhari Fitri Kartiasih