Shadow Economy, Energy Consumption, and Ecological Footprint in Indonesia

Sustainable Futures, Journal Year: 2024, Volume and Issue: unknown, P. 100343 - 100343

Published: Oct. 1, 2024

Language: Английский

---

Business Confidence in Indonesia: Which Macroeconomic Factors Have Long-Term Impact?

Indatu Journal of Management and Accounting, Journal Year: 2024, Volume and Issue: 2(1), P. 40 - 54

Published: June 19, 2024

Business confidence refers to the level of optimism or pessimism that business owners have about prospects their companies and overall economy. Thus, focus this study is examine long-term impact various macroeconomic factors—economic growth, government expenditure, interest rates, inflation, exchange composite stock price index—on index in Indonesia by utilizing monthly data from January 2009 December 2022. We employ Dynamic Ordinary Least Squares (DOLS) Fully-Modified (FMOLS) as main methods, with Canonical Cointegrating Regressions (CCR) a robustness check method. The also utilizes pairwise Granger causality tests for comprehensive analysis. findings indicate all factors significantly long term across methodologies. Specifically, economic exert positive impact, while rates negative on index. This evidence emphasizes importance businesses diligently monitor trends understand patterns these indicators so can better anticipate changes sentiment. Taking perspective when making strategic decisions investments advisable, recognizing influence may be more pronounced over time.

Language: Английский

---

Energy Poverty and Environmental Quality Nexus: Empirical Evidence from Selected South Asian Countries

Ekonomikalia Journal of Economics, Journal Year: 2024, Volume and Issue: 2(2), P. 119 - 135

Published: Oct. 23, 2024

South Asian countries are included in the economies of developing Asia. The region Asia is predominantly affected by energy poverty issues due to a heavy reliance on conventional and unpredictable access services. It has about quarter world's population home three ten most populated countries: India, Pakistan, Bangladesh. This study investigates environmental sustainability dynamics from 2000 2021, utilizing Cross-sectional Autoregressive Distributed Lag (CS-ARDL) Dumitrescu-Hurlin (D-H) causality methods. research offers insights into long-term trends causal relationships that shape outcomes nations. Based empirical findings, long-term, it revealed increases poverty, economic growth, income inequality, capital formation raise greenhouse gas (GHG) emissions, while renewable labor reduce GHG emissions. On other hand, error correction term shows speed adjustment toward equilibrium at 0.75%. Furthermore, D-H panel reveals directional link between variables. These findings highlight urgent need for implement policies address promote adoption, inequality mitigate emissions achieve effectively.

Language: Английский

---

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra

Published: Feb. 28, 2025

K-means is a popular clustering algorithm with significant applications in numerous scientific and engineering areas. One drawback of its inability to identify non-linearly separable clusters, which may lead inaccurate solutions certain cases. Kernel variant classical that can find clusters. However, it scales quadratically respect the size dataset, taking several minutes cluster even medium-sized datasets on traditional CPU-based machines. In this paper, we present formulation using sparse-dense matrix multiplication (SpMM) sparse matrix-vector (SpMV), show our enables rapid implementation fast GPU-based version little programming effort. Our implementation, named Popcorn, first open-source K-means. Popcorn achieves speedup up 123.8x over CPU 2.6x GPU does not use computations. results support effectiveness matrices as tools for efficient parallel programming.

Language: Английский

---

The Effect of Food Price Fluctuations on the Poverty Rate in Aceh Province, Indonesia

Deleted Journal, Journal Year: 2024, Volume and Issue: 1(2), P. 86 - 95

Published: May 30, 2024

The government continues to address poverty through various policies including food security initiatives, but the rate in Aceh is still relatively high when compared other provinces Indonesia. Given this urgency, study aims estimate short-term and long-term effects of prices on rates using an Error Correction Model (ECM) supplemented by observations equilibrium or cointegration relationships. secondary data used period 2014Q1 - 2022Q4. estimation results show that short long run, have a significant effect are positively related Aceh. imbalance between actual desired will be adjusted over 3.32 quarters. Therefore, Government's measures alleviating need revisited consistently improving quality human resources, quantity, sustainability agricultural production.

Language: Английский

---

Predictive Maintenance with Machine Learning: A Comparative Analysis of Wind Turbines and PV Power Plants

Heca Journal of Applied Sciences, Journal Year: 2024, Volume and Issue: 2(2), P. 87 - 98

Published: Sept. 28, 2024

The transition to renewable energy requires innovations in new sources, such as wind turbines and photovoltaic (PV) systems. Challenges arise ensuring efficient reliable performance their operation maintenance. Predictive maintenance using machine learning (PdM-ML) is relevant for addressing these challenges by enhancing failure predictions reducing downtime. This study examines the effectiveness of PdM-ML turbine PV systems analyzing operational data, performing data preprocessing, developing models each system. results indicate that model can predict failures critical components gearboxes blades with high accuracy. In contrast, effective predicting efficiency declines inverters solar panels. Regarding complexity, has advantages disadvantages its own, but when compared conventional techniques, both provide lower costs greater efficiency. conclusion, learning-based predictive a promising solution reliability

Language: Английский

---

The Impact of Green Trade Openness on Air Quality

Ekonomikalia Journal of Economics, Journal Year: 2024, Volume and Issue: 2(2), P. 105 - 118

Published: Oct. 21, 2024

Environmental degradation is among the most pressing issues world faces today. Air pollution one of many forms environmental and can drastically impact human health ecosystem functioning. Research shows that rapid intervention strategies are required to achieve targets set out by international agreements. One strategy has been widely accepted combat this issue introduction green products. The adoption products be increased through trade. However, knowledge trading these limited. This study examines relationship between air quality in a case 33 Organization for Economic Cooperation Development (OECD) member countries from 2003-2016. We employ several panel strategies, such as Westerlund (2008) Durbin-H method cointegration Method Moments Quantile Regression (MM-QR). was proxied newly developed ‘Green Openness Index.’ Nitrous oxide (NOx) sulfur (SOx) emissions served proxies pollution. variables explored context Kuznets Curve (EKC). analysis reveals there long-run series. Long-run estimations prove EKC hypothesis valid analyzed Additionally, empirical findings reveal environmentally friendly increases while energy consumption decreases. provide policy suggestions based on study’s outcomes, supporting trade liberalization goods, reducing tariff non-tariff barriers products, promoting goods providing subsidies other tax incentives consumers.

Language: Английский

---

Hybrid Energy Solutions for Sustainable Offshore Oil and Gas Operations: Leveraging Thermoelectric, Solar, and Wind Potential

Leuser Journal of Environmental Studies, Journal Year: 2024, Volume and Issue: 2(2), P. 52 - 61

Published: Oct. 11, 2024

The transition towards sustainable offshore oil and gas operations is increasingly important given the declining conventional energy reserves growing environmental concerns. This research developed a concept design to enhance sustainability in by integrating local solar wind sources. proposed hybrid system combines systems turbines with traditional Thermoelectric Generators (TEGs), which have traditionally relied on natural gas. study found that incorporating these renewable sources into significantly reduces carbon emissions, lowers dependency fossil fuels, improves overall operational efficiency. main conclusion of this mitigates impact, offers long-term cost savings, enhances security. framework provides practical solutions for sector's greener, more resilient operations.

Language: Английский

---

Evaluating Regional Sustainable Energy Potential Through Hierarchical Clustering and Machine Learning

Environmental Research Communications, Journal Year: 2024, Volume and Issue: 7(1), P. 015002 - 015002

Published: Dec. 23, 2024

Abstract Energy is an essential resource for sustaining daily life and achieving economic growth. The increase in global energy demand, combined with the adverse environmental impacts of fossil fuels, has highlighted urgency transitioning to sustainable sources. In large heterogeneous countries like Türkiye, region-specific analyses potential (SEP) are crucial formulating effective policies optimizing allocation. This study introduces a novel two-step hierarchical clustering classification framework evaluate SEP Türkiye’s provinces comprehensively. combines fuzzy crisp methods capture complex relationships among socioeconomic, geographical, renewable criteria. First, Fuzzy C-Means (FCM) algorithm employed perform using three main criteria different distance metrics—Euclidean, Manhattan, Minkowski—, resulting 21 scenarios. Membership degrees from phase then integrated into new dataset, which undergoes K-Means algorithm. approach provides both granular definitive cluster structures, enabling robust analysis regional characteristics. To validate results, supervised methods—including K-Nearest Neighbors (KNN), Support Vector Machines (SVM), Random Forest (RF), Extreme Gradient Boosting (XGBoost)—are utilized, alongside ensemble models based on RF XGBoost. results compared traditional evaluation indices, such as Silhouette Calinski-Harabasz demonstrating feasibility assess accuracy. study’s key contributions lie integrating systematically providing actionable insights sources most suitable each cluster. By tailoring policy recommendations unique characteristics cluster, this not only corroborates existing findings literature but also extends them by offering practical methodology planning.

Language: Английский

---

The Effect of Aceh Government Spending Policy on Inclusive Growth: Income per Capita as a Mediating Variable

Deleted Journal, Journal Year: 2024, Volume and Issue: 2(1), P. 1 - 14

Published: Aug. 13, 2024

In 2021, inclusive growth in Aceh Province, Indonesia, as measured by the Inclusive Economic Development Index (IPEI), declined compared to ranking achieved 2011. Government intervention through spending policy faces new challenges, particularly due a decrease allocation of special autonomy fund (OTSUS) 2022, which is set fully end 2027. This study aims analyze effect local expenditure policies implemented government, using per capita income mediating variable. The analysis was conducted Random Effects Model (REM) and panel data from 23 districts/cities 2011 2021. results show that capital social assistance negatively impact growth, whereas grant have positive effect. Additionally, findings indicate mediates on but does not mediate effects or growth. Therefore, it necessary improve governance, budgeting policies, regional expenditures more sustainable targeted manner promote achieve equitable welfare for all people Province.

Language: Английский

---