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Ekonomikalia Journal of Economics
Published by PT. Heca Sentra Analitika
ISSN : -     EISSN : 29885787     DOI : https://doi.org/10.60084/eje
Core Subject : Economy, Science, Social,
Economics, Econometrics & Finance Energy Environmental Science
Ekonomikalia Journal of Economics (EJE) stands as a distinguished global scholarly publication. It is dedicated to releasing original research articles and review papers of exceptional quality within the realm of economics. The primary aim of the journal is to foster cross-disciplinary research, facilitate the exchange of knowledge, and propel the advancement and implementation of pioneering approaches. EJE remains steadfast in its pursuit of excellence, significance, and influence, serving as an invaluable asset for researchers, professionals, and educators across the globe. Topics of this journal includes, but not limited to: microeconomics and macroeconomics, international economics, development economics, public economics, behavioral economics, econometrics, regional economics, monetary economics, islamic economics, energy economics, environmental economics, political economy
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekomomi dan Ekonometrika
Articles 30 Documents
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Decrypting the Relationship Between Corruption and Human Development: Evidence from Indonesia Hardi, Irsan; Saputra, Jumadil; Hadiyani, Rahmilia; Maulana, Ar Razy Ridha; Idroes, Ghalieb Mutig
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.v1i1.22

Abstract

Corruption is considered endemic in a large part of the world's population and is believed to be a factor that disrupts market behavior and distorts competition, thereby hindering economic growth and human development. This study aims to unveil the impact of corruption on Indonesia's human development through various approaches, utilizing Fully-Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), Moderated Regression Analysis (MRA), Path Analysis, and Vector Error Correction Model (VECM) methods, with data covering the period from 1995 to 2022. The results of the estimation are discussed in three parts: 1) Dynamic Impact, by analyzing the long-term direct effect of corruption on human development; 2) Indirect Impact, by examining the role of government expenditure, tax revenue, and public debt in mediating the effect of corruption on human development; and 3) Causal Impact, by determining the unidirectional and bidirectional relationships between all variables studied. The findings indicate that corruption does not have a lasting direct impact on human development. Moreover, government expenditure and public debt play a role in moderating the impact of corruption on human development. Additionally, there is no causal link between corruption and human development, whereas there are causal connections between human development, government expenditure, tax revenue, and public debt. The results of this study will be valuable in assessing the extent of corruption's impact on human development, particularly in Indonesia, and aim to raise awareness of policymakers, hence encouraging individuals to participate in combating corruption.
Unveiling the Carbon Footprint: Biomass vs. Geothermal Energy in Indonesia Idroes, Ghalieb Mutig; Syahnur, Sofyan; Majid, M. Shabri Abd; Idroes, Rinadi; Kusumo, Fitranto; Hardi, Irsan
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.v1i1.47

Abstract

Global climate change, caused by greenhouse gases (GHGs) emissions, particularly carbon dioxide (CO2), has an enormous and unprecedented impact on our planet's ecosystem, development, and long-term sustainability. This study investigates the dynamic impact of biomass and geothermal energy on CO2 emissions in Indonesia from 2000 to 2020. Employing the Green Solow model with the approach of Fully-Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), Autoregressive Distributed Lag (ARDL) and Pairwise Granger causality test. The cointegration tests suggest the existence of a long-term equilibrium relationship between CO2 emissions, biomass, and geothermal energy. Empirical evidence reveals that although biomass and geothermal energy positively influence CO2 emissions, their overall impact is relatively low. This highlights the potential for these renewable energy sources to contribute to CO2 reduction and promote environmental sustainability. The Granger causality test confirms a causal relationship between CO2 emissions, biomass, and geothermal energy. Important policy recommendations for promoting sustainable energy practices in Indonesia involve investing in high-quality biomass and geothermal facilities to reduce emissions, implementing energy efficiency programs and fossil fuel conservation measures, and encouraging the use of electricity-based biomass and geothermal energy sources to reduce dependence on non-renewable fuels. These recommendations play a crucial role in achieving environmental and economic sustainability.
Understanding Short-Term and Long-Term Price Fluctuations of Main Staple Food Commodities in Aceh Province, Indonesia: An ARDL Investigation Putra, Hadi Arisyah; Fijay, Ade Habya; Suriani, Suriani; Seftarita, Chenny; Ringga, Edi Saputra; Wintara, Heri; Fadliansah, Oka
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.v1i1.50

Abstract

Aceh Province still relies on external sources from other regions for its main staple food commodities, resulting in unpredictable price fluctuations. To address this issue, it is essential to identify the key determinants responsible for these fluctuations and implement suitable preventive measures and policies. Utilizing monthly time-series data from January 2016 to December 2020 and employing the Autoregressive Distributed Lag (ARDL) approach, we investigate the short-term and long-term impact of variables like raw material prices, rainfall, and price index received by farmers on the price fluctuations. The results of the ARDL estimation reveal that all selected independent variables play a crucial role and significant in influencing the price fluctuations of main staple food commodities. Armed with these findings, we suggest that policymakers can provide necessary resources to farmers, strengthen weather monitoring systems, and enhance market transparency, thus better controlling future price fluctuations of regional staple food commodities.
Deep Learning-Based Bitcoin Price Forecasting Using Neural Prophet Noviandy, Teuku Rizky; Maulana, Aga; Idroes, Ghazi Mauer; Suhendra, Rivansyah; Adam, Muhammad; Rusyana, Asep; Sofyan, Hizir
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.v1i1.51

Abstract

This study focuses on using the Neural Prophet framework to forecast Bitcoin prices accurately. By analyzing historical Bitcoin price data, the study aims to capture patterns and dependencies to provide valuable insights and predictive models for investors, traders, and analysts in the volatile cryptocurrency market. The Neural Prophet framework, based on neural network principles, incorporates features such as automatic differencing, trend, seasonality considerations, and external variables to enhance forecasting accuracy. The model was trained and evaluated using performance metrics such as RMSE, MAE, and MAPE. The results demonstrate the model's effectiveness in capturing trends and predicting Bitcoin prices while acknowledging the challenges posed by the inherent volatility of the cryptocurrency market.
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.
Provincial Real Economic Growth in Indonesia: Investigating Key Factors Through Spatial Analysis Muzzakar, Kahar; Syahnur, Sofyan; Abrar, Muhammad
Ekonomikalia Journal of Economics Vol. 1 No. 2 (2023): November 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/eje.v1i2.66

Abstract

This study addresses the need to understand provincial real economic growth, as measured by gross regional domestic product (GRDP), by conducting a spatial analysis. The study focuses on the influential factors of physical investment, working labor force, social infrastructure relative to the head-count index of poverty, and human development index (HDI). Data from 34 provinces spanning eight years (2015-2022) were examined using geographically weighted panel regression with a fixed effect of provincial units and adaptive bisquare kernel function as spatial weights. The study identifies distinct spatial patterns in the variable impact on provincial real economic growth, forming groups based on influential factors. Physical investment and HDI significantly drive growth in most provinces. The working labor force strongly impacts Papua Island’s growth. Intriguingly, social infrastructure relative to the head-count index of poverty link to economic growth emerges in the central and eastern regions of Indonesia (Kalimantan, Sulawesi, Maluku, and Papua), highlighting its role in poverty reduction and inclusive growth. The findings highlight the importance of region-specific policies to optimize the potential of these variables and promote balanced economic growth across the province.
Decomposed Impact of Democracy on Indonesia’s Economic Growth Hardi, Irsan; Ringga, Edi Saputra; Fijay, Ade Habya; Maulana, Ar Razy Ridha; Hadiyani, Rahmilia; Idroes, Ghalieb Mutig
Ekonomikalia Journal of Economics Vol. 1 No. 2 (2023): November 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/eje.v1i2.80

Abstract

Indonesia's democratic performance is still classified as a 'moderate' and 'flawed democracy' according to the latest report, even though the ongoing progress of national democracy continues to advance every year. This study addresses the issue by offering a more comprehensive perspective and distinguishes itself by employing a decomposition approach that incorporates 25 indicators of the Indonesian democracy index to assess their individual effects on economic growth, which no prior Indonesian study has explored. The study classifies these indicators into six distinct categories: freedom and civil rights issues, discrimination issues, political and electoral issues, social and cultural issues, law and justice issues, and demonstration and community participation issues. The findings reveal that five out of the six categorized indicators have a crucial role and significantly impact economic growth. This evidence suggests that policymakers should prioritize a multifaceted approach, which includes bolstering the protection of civil rights and freedoms, combating discrimination, as well as reforming electoral and political processes. If implemented with transparency and inclusivity, this approach can pave the way for a more robust and prosperous democracy, leading to better and sustainable economic growth in Indonesia.
Economic Growth, Agriculture, Capital Formation and Greenhouse Gas Emissions in Indonesia: FMOLS, DOLS and CCR Applications Hardi, Irsan; Idroes, Ghalieb Mutig; Zulham, Teuku; Suriani, Suriani; Saputra, Jumadil
Ekonomikalia Journal of Economics Vol. 1 No. 2 (2023): November 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/eje.v1i2.109

Abstract

Economic growth drives increased demand for resources, placing greater pressure on the agricultural sector. While the adoption of advanced technologies and increased capital investment can enhance productivity, they also have environmental consequences, contributing to greenhouse gas emissions. Based on this interconnected issue, this study aims to examine the long-term relationships between economic growth, agricultural productivity, gross fixed capital formation, and greenhouse gas emissions in Indonesia, utilizing data from the period 1965-2021. The study employs the Dynamic Ordinary Least Squares (DOLS) and Fully-Modified Ordinary Least Squares (FMOLS) methods, and includes robustness checks using the Canonical Cointegration Regressions (CCR) method. To provide a more comprehensive insight, the study also employs the pairwise Granger causality approach to detect the direction of the relationships. In concise terms, the results suggest that agricultural productivity, gross fixed capital formation, and greenhouse gas emissions have a positive long-term influence on economic growth. Additionally, gross fixed capital formation has a negative effect, while economic growth has a positive long-term impact on agricultural productivity. Furthermore, agricultural productivity has a negative impact, while economic growth indicates a positive long-term effect on gross fixed capital formation. Moreover, economic growth positively influences greenhouse gas emissions over the long term. Lastly, the study found three bidirectional causalities, with greenhouse gas emissions as the central figure. These important findings provide crucial information for policymakers, economists, and environmentalists, giving a nuanced understanding of the intricate relationships between economic activities and environmental consequences, as well as aiding in the formulation of sustainable strategies for green economic growth, especially in Indonesia.
The Regional Nexus of Economic Growth, Income Inequality and Poverty Naufal, Abyan; Fikriah, Fikriah
Ekonomikalia Journal of Economics Vol. 1 No. 2 (2023): November 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/eje.v1i2.114

Abstract

This study divides Aceh Province into three distinct regional to investigate the nexus between economic growth, income inequality, and poverty from 2011-2021. Applying the Granger causality test across 23 districts/cities, this research uncovers the distinct interplay among these pivotal socioeconomic variables. While previous studies have delved into these relationships in various contexts, the unique socio-economic backdrop of Aceh Province commands a targeted empirical exploration. Across the province, our findings indicate a bidirectional causality between economic growth and poverty, elucidating a reciprocal influence where economic dynamics and poverty levels directly affect each other. Additionally, we observe a unidirectional causality from income inequality to economic growth and poverty, demonstrating that income inequality hampers regional economic growth and exacerbates poverty levels. In regional 1, a self-sustaining causal loop is identified, where economic growth leads to changes in poverty, which then feed into income inequality, and subsequently loop back to impact economic growth. In regional 2, a bidirectional causality between economic growth and poverty is found, highlighting a relationship where economic progress alone does not effectively address poverty. Regional 3 presents a distinctive pattern, where income inequality is a precursor to poverty, which then unidirectionally impacts economic growth, suggesting that in this region, strategies to combat inequality could be pivotal in spurring economic development. These varied regional causal patterns signal the need for nuanced and region-specific policy interventions.
A Deep Dive into Indonesia's CO2 Emissions: The Role of Energy Consumption, Economic Growth and Natural Disasters Idroes, Ghalieb Mutig; Hardi, Irsan; Noviandy, Teuku Rizky; Sasmita, Novi Reandy; Hilal, Iin Shabrina; Kusumo, Fitranto; Idroes, Rinaldi
Ekonomikalia Journal of Economics Vol. 1 No. 2 (2023): November 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/eje.v1i2.115

Abstract

This study examines the influence of non-renewable energy consumption, renewable energy consumption, economic growth, and natural disasters on Indonesia's carbon dioxide (CO2) emissions spanning from 1980 to 2021. The Autoregressive Distributed Lag (ARDL) model is employed, with supplementary robustness checks utilizing Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Canonical Cointegration Regression (CCR). The findings reveal that economic growth, along with non-renewable and renewable energy consumption, significantly affects CO2 emissions in both the short and long term. Robustness checks confirm the positive impact of non-renewable energy consumption and economic growth, while renewable energy consumption has a negative effect on CO2 emissions. Moreover, natural disasters exhibit a positive short-term impact on CO2 emissions. Pairwise Granger causality results further underscore the intricate relationships between the variables. To mitigate climate change and curb CO2 emissions in Indonesia, the study recommends implementing policies that foster sustainable economic development, encourage the adoption of renewable energy, and enhance disaster resilience.

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