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DAMPAK SOSIAL, EKONOMI, DAN LINGKUNGAN TERHADAP PENINGKATAN EMISI KARBONDIOKSIDA (CO2) DI INDONESIA: STUDI KASUS 1990-2020 Anisa Seto Rahayu; Nur Hidayah
Journal of Economic, Bussines and Accounting (COSTING) Vol. 7 No. 6 (2024): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/costing.v8i1.13988

Abstract

Perubahan iklim global yang diakibatkan oleh peningkatan emisi karbon dioksida (CO2) menjadi salah satu masalah lingkungan yang mendesak di seluruh dunia, termasuk di Indonesia. Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor yang memengaruhi peningkatan emisi CO2 di Indonesia, dengan fokus pada luas hutan, jumlah industri, pengangguran, dan korupsi. Menggunakan data sekunder deret waktu (time series) dari tahun 1990 hingga 2020, analisis dilakukan menggunakan model regresi linier sederhana (Ordinary Least Squares/OLS). Hasil penelitian menunjukkan bahwa luas hutan berpengaruh negatif dan signifikan terhadap emisi CO2, yang berarti peningkatan luas hutan dapat menurunkan emisi karbon. Sementara itu, jumlah industri dan korupsi tidak memiliki pengaruh signifikan terhadap emisi CO2, meskipun keduanya menunjukkan pengaruh positif. Sebaliknya, pengangguran berpengaruh negatif dan signifikan terhadap emisi CO2, yang mengindikasikan bahwa tingkat pengangguran yang lebih tinggi dapat berkontribusi pada pengurangan emisi. Temuan ini memberikan kontribusi dalam memahami peran faktor lingkungan dan sosial terhadap perubahan iklim di Indonesia dan memberikan rekomendasi kebijakan untuk pengelolaan hutan yang lebih baik serta penciptaan lapangan kerja yang lebih inklusif untuk mengurangi dampak negatif terhadap lingkungan.
Economic and Social Determinations of the APBD: A Panel Data Approach in 12 Districts/Cities in East Java 2019–2023 Octaviana Dwi Chintya; Nur Hidayah
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 3 (2025): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

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Abstract

This research sought to examine the impact of various determinants, including Gross Regional Domestic Product (PDRB), Rice Agricultural Land Area, Open Unemployment Rate, and Poverty Level, on Regional Revenue and Expenditure Budgets (APBD). The analysis was carried out across 12 districts and cities within East Java Province over a five-year period, specifically from 2019 to 2023. The employed methodology consists of a panel data regression utilizing the most suitable approach, identified as the Random Effect Model (REM). The data utilized were sourced from official agencies such as BPS, BPKAD, and other relevant institutions. The findings indicated that PDRB exerts a positive and significant influence on the budget, suggesting that an increase in regional economic activity correlates with enhanced financial capacity for local governments. Conversely, the Poverty Rate demonstrated a negative and significant impact, indicating that a higher poverty level corresponds to diminished financial capacity within the region. The variables pertaining to Rice Agricultural Land Area and Open Unemployment Rate revealed no significant effect on the budget. These outcomes underscore the importance of economic development and the enhancement of public welfare as pivotal factors for augmenting regional budgets.
Production Factors and Commodity Prices on Farmers' Exchange Rate in Indonesia: Panel Data Analysis 2019–2023 Nabila Prastyanti Putri Hanifah; Nur Hidayah
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 3 (2025): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

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Abstract

This research seeks to ascertain the components of agricultural production and the price dynamics of commodities that affect the Nominal Producer Price (NTP) in Indonesia, utilizing panel data from 26 provinces over the period from 2019 to 2023. The independent variables examined comprise labor, commodity prices, harvested land area, and farmer productivity. Through a series of model evaluations, the Fixed Effect Model (FEM) emerged as the optimal model, as determined by the outcomes of the Chow and Hausman tests. Collectively, all variables demonstrated a statistically significant impact on the NTP, with a coefficient of determination of 0.9681, signifying that 96.81% of the variability in the NTP can be attributed to these factors. On an individual basis, the labor variable exhibited a negative and significant influence, suggesting that an increase in the workforce has not been matched by corresponding improvements in work efficiency. In contrast, commodity prices displayed a positive and significant relationship, indicating that rising agricultural product prices can enhance farmer welfare. The variables pertaining to harvested area and farmer productivity revealed a positive yet insignificant impact on the NTP, implying that an increase in production alone does not necessarily translate into improved welfare without the backing of efficient distribution and price stability. These results highlight the necessity for policies aimed at price stabilization, enhancement of value addition, and modernization of agricultural practices to bolster farmers' purchasing power and overall welfare.