Energy Economics, Journal Year: 2025, Volume and Issue: unknown, P. 108429 - 108429
Published: March 1, 2025
Language: Английский
Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 368, P. 122077 - 122077
Published: Aug. 9, 2024
Language: Английский
Citations
26
Leuser Journal of Environmental Studies, Journal Year: 2024, Volume and Issue: 2(1), P. 41 - 51
Published: April 29, 2024
Indonesia's archipelago presents a distinctive opportunity for targeted sustainable development due to its complex interplay of economic advancement and environmental challenges. To better understand this dynamic identify potential areas focused intervention, study applied K-means clustering 2022 data on the Air Quality Index (AQI), electricity consumption, Gross Regional Domestic Product (GRDP). The analysis aimed delineate provinces into three distinct clusters, providing clearer picture varying levels impact across nation's diverse islands. Each cluster reflects specific dynamics, suggesting tailored policy interventions. results show that in Cluster 1, which exhibit moderate quality lower activity, introduction agricultural enhancements, eco-tourism, renewable energy initiatives is recommended. 2, marked by higher outputs conditions, would benefit from implementation smart urban planning, stricter controls, adoption clean technologies. Finally, 3, includes highly urbanized with robust growth, requires expanded green infrastructure, improved practices, enhanced public transportation systems. These recommendations aim foster balanced growth while preserving integrity Indonesia’s landscapes.
Language: Английский
Citations
20
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Jan. 17, 2025
Language: Английский
Citations
7
Journal of Economy and Technology, Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 1, 2024
The growing awareness of the importance transitioning to sustainable energy sources emphasizes necessity fostering business optimism toward renewable energy, as businesses wield significant influence in driving innovation and scaling up deployment. Therefore, this study investigates impact confidence on long-term generation selected major Asian economies: China, Japan, South Korea, Indonesia, Turkey. Through country-specific assessments, we utilized three methods capable yielding empirical results: Fully-Modified OLS (FMOLS), Dynamic (DOLS), Canonical Cointegrating Regressions (CCR). also conducted a robustness check by utilizing Robust Least Squares (RLS) method, preceded multiple preliminary tests, ensure validity reliability results. findings show that all countries exhibit energy. However, there are variations level, with Turkey demonstrating high while those China Indonesia low confidence. found trade-off between levels consumption. In Turkey, correlates negative consumption, is aligned positive effect consumption This suggests dynamics development. Policy recommendations tailored each provided address these findings, aiming enhance trust within economies.
Language: Английский
Citations
15
Ekonomikalia Journal of Economics, Journal Year: 2024, Volume and Issue: 2(1), P. 53 - 65
Published: April 28, 2024
Achieving sustainable environmental quality has become a critical global issue, necessitating the reduction of carbon dioxide (CO2) emissions and greenhouse gas (GHG) to mitigate pollution. Hydropower energy potential play significant role in this effort by providing clean, renewable source that can help reduce reliance on fossil fuels decrease CO2 emissions. This study examines dynamic impact hydropower consumption, economic growth, capital, labor Indonesia's from 1990 2020. Applying Autoregressive Distributed Lag (ARDL) method, findings demonstrate consumption negative effect both short long term, indicating increasing leads Conversely, exhibits positive influence suggesting rise contributes higher levels Indonesia. Furthermore, Granger causality analysis reveals bidirectional relationship between consumption. The robustness ARDL results is confirmed through additional tests using Fully-Modified Ordinary Least Squares (FMOLS), Dynamic (DOLS), Canonical Cointegrating Regressions (CCR) methods. underscore importance promoting for effective management Policymakers should prioritize investments infrastructure, encourage adoption energy-efficient technologies, develop skilled workforce increased force participation.
Language: Английский
Citations
14
Sustainable Futures, Journal Year: 2024, Volume and Issue: unknown, P. 100343 - 100343
Published: Oct. 1, 2024
Language: Английский
Citations
13
Journal of Economy and Technology, Journal Year: 2024, Volume and Issue: 2, P. 138 - 154
Published: April 25, 2024
The goal of the research project is to look at influence economy, technology, and renewable energy on China's ecological damage. A number methods, such as ARDL bound test for cointegration, DOLS, FMOLS, CCR, were utilized how explanatory variables changed that affected dependent variable. DOLS estimate results show a significant positive extended connection between economic growth CO2 generations. 1% increase in expansion 0.51% rise emissions. use has strong destructive association with emissions carbon dioxide are expected decline by 0.03% over long run every upsurge green use. Moreover, technological innovation substantial adverse long-term effect, resulting 0.08% decrease reliability findings confirmed using several estimators, FMOLS CCR. paired Granger causality was used determine causal link among various factors. study recommends implementing regulatory measures support carbon-free boosting consumption clean energy, investing developments lower achieve neutrality China.
Language: Английский
Citations
12
Ekonomikalia Journal of Economics, Journal Year: 2024, Volume and Issue: 2(2), P. 66 - 81
Published: May 14, 2024
Environmental degradation due to human over-exploitation is one of the most pressing global issues. The ten Newly Industrialized Countries (NICs) have recently witnessed substantial economic growth and involvement in trade. In discussion on environmental degradation, trade has a crucial role. Scholars use openness test scale effect environment. This research investigates non-green openness, growth, energy consumption ecological footprint. Panel estimation techniques such as cross-sectional dependence, slope homogeneity, unit root, cointegration analyses are applied panel data NICs between 2003 2016. Fully Modified Ordinary Least Squares (FMOLS) method reveals that increases panel. Energy also found increase degradation. Moreover, Kuznets Curve (EKC) hypothesis validated. presents few relevant policy implications. should invest green an energy-efficient economy focus stimulating catalyst for sustainable development order improve quality their can be done by introducing higher tariffs products investing technological innovations production methods renewable energy. Although local pollution European Union (EU) decreases, threatens state Therefore, approached international problem detrimental effects all countries different phases development.
Language: Английский
Citations
12
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
Citations
11
Infolitika Journal of Data Science, Journal Year: 2024, Volume and Issue: 2(1), P. 34 - 44
Published: May 27, 2024
Customer churn is critical for businesses across various industries, especially in the telecommunications sector, where high rates can significantly impact revenue and growth. Understanding factors leading to customer essential developing effective retention strategies. Despite predictive power of machine learning models, there a growing demand model interpretability ensure trust transparency decision-making processes. This study addresses this gap by applying advanced specifically Naïve Bayes, Random Forest, AdaBoost, XGBoost, LightGBM, predict dataset. We enhanced using SHapley Additive exPlanations (SHAP), which provides insights into feature contributions predictions. Here, we show that LightGBM achieved highest performance among with an accuracy 80.70%, precision 84.35%, recall 90.54%, F1-score 87.34%. SHAP analysis revealed features such as tenure, contract type, monthly charges are significant predictors churn. These results indicate combining analytics methods provide telecom companies actionable tailor strategies effectively. The highlights importance understanding behavior through transparent accurate paving way improved satisfaction loyalty. Future research should focus on validating these findings real-world data, exploring more sophisticated incorporating temporal dynamics enhance prediction models' applicability.
Language: Английский
Citations
10