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Natural Disasters and Economic Growth in Indonesia Idroes, Ghalieb Mutig; Hardi, Irsan; Nasir, Muhammad; Gunawan, Eddy; Maulidar, Putri; Maulana, Ar Razy Ridha
Ekonomikalia Journal of Economics Vol. 1 No. 1 (2023): July 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/eje.v1i1.55

Abstract

Natural disasters can have a profound impact on a country's economic growth, making it crucial for policymakers to understand the relationship between natural disasters and economic growth in order to develop effective strategies that mitigate adverse effects and promote sustainable development. The study utilizes secondary data spanning from 1990 to 2021 and employs the Fully-Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), Canonical Co-Integrating Regression (CCR), and Vector Error Correction Model (VECM) methods. The study's findings provide valuable insights into the substantial effects of natural disasters on economic growth, indicating a positive long-term impact. Furthermore, the analysis highlights a unidirectional causality, illustrating the notable influence of natural disasters on the country's economic performance. Policymakers should prioritize investments in upgrading and retrofitting infrastructure, focusing on key sectors like transportation, energy, water, and telecommunications, to mitigate the adverse effects of natural disasters and promote sustainable economic growth.
Enhancing Environmental Quality: Investigating the Impact of Hydropower Energy Consumption on CO2 Emissions in Indonesia Maulidar, Putri; Fadila, Sintia; Hafizah, Iffah; Zikra, Naswatun; Idroes, Ghalieb Mutig
Ekonomikalia Journal of Economics Vol. 2 No. 1 (2024): April 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/eje.v2i1.180

Abstract

Achieving sustainable environmental quality has become a critical global issue, necessitating the reduction of carbon dioxide (CO2) emissions and greenhouse gas (GHG) emissions to mitigate environmental pollution. Hydropower energy has the potential to play a significant role in this effort by providing a clean, renewable energy source that can help reduce reliance on fossil fuels and decrease CO2 emissions. This study examines the dynamic impact of hydropower energy consumption, economic growth, capital, and labor on Indonesia's CO2 emissions from 1990 to 2020. Applying the Autoregressive Distributed Lag (ARDL) method, the findings demonstrate that hydropower energy consumption has a negative effect on CO2 emissions in both the short and long term, indicating that increasing hydropower energy consumption leads to a reduction in CO2 emissions. Conversely, labor exhibits a positive influence on CO2 emissions in both the short and long term, suggesting that a rise in labor contributes to higher levels of CO2 emissions in Indonesia. Furthermore, the Granger causality analysis reveals a bidirectional relationship between CO2 emissions and hydropower energy consumption. The robustness of ARDL results is confirmed through additional tests using Fully-Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Canonical Cointegrating Regressions (CCR) methods. The findings underscore the importance of promoting sustainable hydropower energy for effective environmental management in Indonesia. Policymakers should prioritize investments in sustainable hydropower infrastructure, encourage the adoption of energy-efficient technologies, and develop a skilled workforce to mitigate the environmental impact of increased labor force participation.
The Impact of Credit Access on Economic Growth in SEA Countries Idroes, Ghalieb Mutig; Maulidar, Putri; Marsellindo, Rio; Afjal, Mohd; Hardi, Irsan
Indatu Journal of Management and Accounting Vol. 2 No. 2 (2024): December 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ijma.v2i2.256

Abstract

Access to credit serves as a vital catalyst for economic growth, allowing individuals, enterprises, and governments to fund investments, maintain consumption stability, and encourage productive endeavors. Economic growth is fundamental to sustainable development, enhancing living standards, and promoting innovation. This study investigates the impact of credit access on economic growth in Southeast Asia (SEA) countries using monthly data from 2014 to 2020. By applying the Fully Modified Ordinary Least Squares (FMOLS) method, along with robustness checks using the Dynamic Ordinary Least Squares (DOLS) technique, this study includes essential control variables such as capital, labor, and technology. The results reveal that credit access has a positive impact on economic growth, while capital and technology also contribute positively to economic growth. Conversely, labor shows a negative impact on economic growth within the region. These results are consistent across both the FMOLS and DOLS analyses. Based on these findings, Southeast Asian policymakers ought to facilitate credit accessibility by making loan applications more straightforward, minimizing bureaucratic obstacles, and providing lower interest rates, especially for small enterprises and marginalized communities. Moreover, encouraging financial institutions to lend more liberally and utilizing digital platforms can expand access. Additionally, investing in technology, improving capital formation, and tackling labor market challenges will more effectively align with the region's growth path.
Economic Complexity as a Driver of Economic Growth in Indonesia: A Multidimensional Analysis of Trade, Technology, and Research Maulidar, Putri; Yulfianti, Chairunnisa; Prasetyo, Farhan Hadi
Ekonomikalia Journal of Economics Vol. 3 No. 2 (2025): October 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/eje.v3i2.346

Abstract

This study investigates how economic complexity influences Indonesia’s economic growth through three interrelated dimensions: research, technology, and trade. Using annual time-series data from 2000 to 2021, several econometric techniques including Ordinary Least Squares (OLS), Robust Least Squares (RLS), Fully Modified OLS (FMOLS), Canonical Cointegrating Regression (CCR), Dynamic OLS (DOLS), and Quantile Regression (QR) are applied to capture both short-run and long-run dynamics. The results reveal that the contribution of economic complexity to growth is heterogeneous and stage dependent. Research and trade-based complexities emerge as the primary long-run drivers of growth, enhancing productivity, export diversification, and structural transformation. In contrast, technology-based complexity exerts a negative effect in both the short and long run, reflecting Indonesia’s limited absorptive capacity, skill mismatches, and institutional constraints. Quantile regression results further show that research-based complexity supports growth during low-performance phases, whereas trade-based complexity becomes more influential at higher stages of development. These findings highlight the need for phase-specific development strategies that strengthen research and innovation in early stages, improve technological absorption during industrial transitions, and promote export sophistication and value-chain integration to achieve resilient, knowledge-driven, and sustainable economic growth.
Exploring Indonesia's CO2 Emissions: The Impact of Agriculture, Economic Growth, Capital and Labor Maulidar, Putri; Fitriyani, Fitriyani; Sasmita, Novi Reandy; Hardi, Irsan; Idroes, Ghalieb Mutig
Grimsa Journal of Business and Economics Studies Vol. 1 No. 1 (2024): January 2024
Publisher : Graha Primera Saintifika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61975/gjbes.v1i1.22

Abstract

This study examines the dynamic impact of agriculture, economic growth, capital, and labor on carbon dioxide (CO2) emissions in Indonesia from 1990-2022. Employing the Autoregressive Distributed Lag (ARDL) method, the findings indicate that agriculture plays a substantial role in decreasing CO2 emissions in the short and long run. Additionally, a consistent positive correlation exists between economic growth and CO2 emissions, underscoring the difficulty in decoupling economic progress from its environmental repercussions. Capital formation, on the other hand, exerts a noteworthy negative influence on CO2 emissions, particularly in the long run, implying that increased investment in capital formation, potentially in environmentally friendly technologies, could contribute to a gradual reduction in emissions. However, the expanding labor is identified as a significant driver of CO2 emissions, particularly in the long run. Highlighting the challenges associated with mitigating the environmental impact of workforce growth. Furthermore, the Granger causality results indicate unidirectional causality from CO2 emissions and labor to agriculture, from agriculture to economic growth and capital formation, and from economic growth to capital formation. Therefore, promoting sustainable agriculture, aligning economic growth with green technologies, incentivizing eco-friendly investment, integrating comprehensive planning, and maintaining flexible policies are crucial for Indonesia's effective environmental and economic management.