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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 5 Documents
 1 
Search results for , issue "Vol. 2 No. 1 (2024): April 2024" : 5 Documents clear
Analysis of the Influence of Investment and Labor on Poverty Levels Through the Growth of the Indonesian Manufacturing Industry Balqis, Riqah; Syahnur, Sofyan; Ernawati, Ernawati
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.v2i1.134

Abstract

This study aims to eradicate poverty by utilizing the manufacturing industrial sector, which cannot be separated from the influence of investment value and labor absorption. The analysis methods used are multiple linear regression and Vector Autoregression (VAR). The study employs quarterly secondary data from 1999 to 2022. The results of the analysis show that labor and investment partially have a significant and positive effect on the growth of the manufacturing industry. Moreover, by using a bivariate causality test, this study proves the existence of a two-way causal relationship between the economic growth of the manufacturing industry and poverty. Additionally, the study also analyzed the response of the independent variable to the dependent variable using Impulse Response (IRF) and Variance Decomposition (VD). It can be concluded that the economic growth of the manufacturing industry responds negatively to poverty, and poverty responds negatively to the economic growth of the manufacturing industry until both reach a balance. The contribution made by each variable in forming the value of that variable is different from one another. The implementation of good governance is highly expected in efforts to eradicate poverty in Indonesia, one of which is through increasing the economic growth of the manufacturing industry and then creating useful programs to increase investment and employment.
Innovation and Economic Growth in the Top Five Southeast Asian Economies: A Decomposition Analysis Hardi, Irsan; Ray, Samrat; Attari, Muhammad Umer Quddoos; Ali, Najabat; 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.v2i1.145

Abstract

Innovation has the potential to act as a double-edged sword in impacting economic growth. While it serves as a powerful driver of economic advancement, it also carries risks alongside its benefits. Recognizing this duality, our study aims to fill the identified gap and add comprehensiveness to the literature by assessing the individual impact of innovation indicators on economic growth in the top five Southeast Asian countries based on GDP: Indonesia, Thailand, Singapore, Malaysia, and Vietnam. The innovation aspect comprises 21 indicators from the Global Innovation Index (GII), grouped into seven categories: institution, human capital and research, infrastructure, market sophistication, business sophistication, knowledge and technology outputs, and creative outputs. Both panel analysis and country-specific assessments consistently conclude that innovation significantly influences economic growth. However, delving into the categorized indicators reveals intriguing insights. While all the indicators demonstrate a notable impact, most of them are found to hinder rather than foster economic growth. This compelling empirical evidence underscores that innovation in the selected countries has yet to be optimized, highlighting the urgent need to implement innovation-friendly policies, including removing innovation barriers, targeting investment in key sectors, and fostering education and skills development. This holistic approach aims to cultivate an environment conducive to innovation, thereby solidifying innovation's role as one of the primary drivers of economic growth.
Toward a Greener Future: Investigating the Environmental Quality of Non-Green Trading in OECD Countries van Ledden, Anke; Can, Muhlis; Brusselaers, Jan
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.v2i1.149

Abstract

International trade is recognized as a key contributor to environmental degradation. However, researchers and policymakers do not distinguish between the trade of green and non-green products. The Non-Green Trade Openness Index was developed to examine the effect of non-green products on environmental quality. This study examines the effect of trading non-green products on environmental quality for 37 member countries of the Organization for Economic Co-operation and Development (OECD) from 2003 to 2016 in the context of the Environmental Kuznets Curve (EKC) framework. The results of the long-run estimation techniques employed (FMOLS, DOLS, Fixed and Random effects) confirm the EKC hypothesis and show a negative relationship between the Non-Green Trade Openness Index and greenhouse gas emissions, which serves as a proxy for environmental quality. This implies that when there is more non-green trade in OECD member countries, greenhouse gas emissions within these countries decrease. Dividing green and non-green products is important, empowering practitioners and policymakers to make informed choices and define a strategy for a sustainable future. Additionally, policy recommendations are provided to support policymakers in their efforts to combat climate change.
The Importance of Gold’s Effect on Investment and Predicting the World Gold Price Using the ARIMA and ARIMA-GARCH Model Bunnag, Tanattrin
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.v2i1.155

Abstract

This paper studies the importance of gold's effect on investment and the fact that gold is often seen as a safe-haven asset during economic uncertainty. When inflation rates rise, investors may turn to gold to preserve their wealth; the government will reserve gold to reduce the exchange rate risk. To provide a comprehensive analysis, the study incorporates forecasting the price of gold using both the Autoregressive Integrated Moving Average (ARIMA) and ARIMA-Generalized Autoregressive Conditional Heteroskedasticity (ARIMA-GARCH) models. The gold price data is daily from 1/01/2021 to 3/01/2024. We perform model comparisons that the ARIMA (2,1,3) and the ARIMA (2,1,3)-GARCH (1,1), which model gives lower mean absolute error (MAE) and root mean squared error (RMSE) values. The results show that the MAE and RMSE predictions of the ARIMA (2,1,3)-GARCH (1,1) model are 80.1371 and 96.8299, better than those of the other model. Therefore, the ARIMA (2,1,3)-GARCH (1,1) model forecast results are better precise. It gives a forecast value for gold prices in the world market at the end of 2024 of 1942.094 USD per troy ounce. Hence, the recommendation for investors and policymakers is that if the price is higher than 1942.094 USD per troy ounce in 2024, investors and policymakers should slow down to buy and wait for it to adjust first, or investors and policymakers with gold should gradually sell to make some profit. Moreover, good portfolio management will reduce the exchange rate risk by including an optimized amount of gold in currency portfolios. However, holding gold is risky; its prices may fluctuate due to factors beyond our control, such as war, uncertainty about world economic growth, and inflation. Therefore, investors and policymakers should consider the abovementioned factors and be careful when hedging in gold.
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.

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