cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Teuku Rizky Noviandy
Contact Email
trizkynoviandy@gmail.com
Phone
+6282275731976
Journal Mail Official
editorial-office@heca-analitika.com
Editorial Address
Jl. Makam T. Nyak Arief Kompleks BUPERTA Blok L7B, Lamgapang, Aceh Besar, Provinsi Aceh
Location
Kab. aceh besar,
Aceh
INDONESIA
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
 1   2   3 
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.
The Impact of Non-Green Trade Openness on Environmental Degradation in Newly Industrialized Countries van Hek, Sil; Can, Muhlis; Brusselaers, Jan
Ekonomikalia Journal of Economics Vol. 2 No. 2 (2024): October 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/eje.v2i2.148

Abstract

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 global trade. In the discussion on environmental degradation, trade has a crucial role. Scholars use trade openness to test the scale effect on the environment. This research investigates the effect of non-green trade openness, economic growth, and energy consumption on ecological footprint. Panel estimation techniques such as cross-sectional dependence, slope homogeneity, unit root, and cointegration analyses are applied to panel data of ten NICs between 2003 and 2016. The Fully Modified Ordinary Least Squares (FMOLS) method reveals that non-green trade openness increases environmental degradation in the panel. Energy consumption and economic growth are also found to increase environmental degradation. Moreover, the Environmental Kuznets Curve (EKC) hypothesis is validated. The research presents a few relevant policy implications. The NICs should invest in green energy and an energy-efficient economy and focus on stimulating green trade as a catalyst for sustainable economic development in order to improve the quality of their environment. This can be done by introducing higher tariffs on non-green products and investing in technological innovations for green production methods and renewable energy. Although local environmental pollution in the European Union (EU) decreases, an increase in pollution in the NICs threatens the global state of the environment. Therefore, non-green trade should be approached as an international problem that has detrimental effects on all countries in different phases of economic development.
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.
Demand Analysis for Large Animal and Poultry Meat in Indonesia: An ARDL Perspective Muksalmina, Muksalmina; Nasir, Muhammad; Sartiyah, Sartiyah
Ekonomikalia Journal of Economics Vol. 2 No. 2 (2024): October 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/eje.v2i2.202

Abstract

This study examines the growing demand for large livestock and poultry meat in Indonesia, reflecting changing consumption patterns and economic growth. However, this phenomenon faces challenges such as price fluctuations between provinces, declining per capita income, and supply-demand gaps that affect access to and consumption of animal protein. Utilizing panel data from 34 provinces covering the period from 2015 to 2022 and employing an Autoregressive Distributed Lag (ARDL) model, this study analyzes the short- and long-run relationships in meat demand. The results indicate that in the short run, meat prices and per capita income significantly influence demand, while tuna prices have no noticeable effect. In the long run, meat prices, per capita income, and fish prices as substitutes affect meat demand. This study contributes to the development of the livestock sector in Indonesia, provides information for farmers to plan production, and advises the government to educate the public about protein sufficiency and conduct market operations to stabilize prices and maintain meat availability. The findings are expected to help fulfill the current and future demand for meat from large livestock and poultry in Indonesia.
Government Expenditure on Education, Educational Index, and Economic Growth in Nepal: An ARDL-ECM Approach Duwal, Niroj; Suwal, Sunil
Ekonomikalia Journal of Economics Vol. 2 No. 2 (2024): October 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/eje.v2i2.205

Abstract

Education is a key priority in economic development, significantly impacting growth and society through its role in enhancing human capital and advancing technological knowledge. Government spending on education is crucial for providing equitable access to quality education and is widely believed to stimulate economic growth. This study examines the relationship between education, government expenditure on education, and economic growth in Nepal from 1990 to 2022, using the Autoregressive Distributed Lag (ARDL) model and the Error Correction Model (ECM) to assess long-run and short-run impacts. The findings reveal that the educational index, gross capital formation, and population have a positive and significant impact on economic growth. In contrast, government expenditure on education, domestic credit to the private sector, and trade openness have negative and insignificant effects on long-run economic growth. Additionally, the educational index shows a negative and significant impact on economic growth in the short run. The study’s policy recommendations emphasize the need to increase government spending on education, implement effective mechanisms for spending, and enhance credit availability and trade openness to boost economic growth.
The Impact of Green Trade Openness on Air Quality van Hinsberg, Nicky; Can, Muhlis
Ekonomikalia Journal of Economics Vol. 2 No. 2 (2024): October 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/eje.v2i2.198

Abstract

Environmental degradation is among the most pressing issues the world faces today. Air pollution is one of the many forms of environmental degradation and can drastically impact human health and ecosystem functioning. Research shows that rapid intervention strategies are required to achieve the environmental targets set out by international agreements. One strategy that has been widely accepted to combat this issue of environmental degradation is the introduction of green products. The adoption of green products can be increased through trade. However, knowledge of the impact of trading these products is limited. This study examines the relationship between the trading of green products and air quality in a case study of 33 Organization for Economic Cooperation and Development (OECD) member countries from 2003-2016. We employ several panel strategies, such as the Westerlund (2008) Durbin-H method for cointegration and the Method of Moments Quantile Regression (MM-QR). The trading of green products was proxied by the newly developed ‘Green Openness Index.’ Nitrous oxide (NOx) and sulfur oxide (SOx) emissions served as proxies for air pollution. The relationship between the variables was explored in the context of the Environmental Kuznets Curve (EKC). The cointegration analysis reveals that there is a long-run relationship among the series. Long-run estimations prove that the EKC hypothesis is valid for the analyzed series. Additionally, the empirical findings reveal that trading environmentally friendly products increases air quality while energy consumption decreases. We provide several policy suggestions based on the study’s outcomes, such as supporting the trade liberalization of green goods, reducing tariff and non-tariff barriers for environmentally friendly products, and promoting the adoption of environmentally friendly goods by providing subsidies and other tax incentives to consumers.
Energy Poverty and Environmental Quality Nexus: Empirical Evidence from Selected South Asian Countries Sikdar, Asaduzzaman; Bani, Nor Yasmin binti Mhd; Salimullah, Abul Hasnat Muhammed; Majumder, Shapan Chandra; Idroes, Ghalieb Mutig; Hardi, Irsan
Ekonomikalia Journal of Economics Vol. 2 No. 2 (2024): October 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/eje.v2i2.221

Abstract

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

Page 2 of 3 | Total Record : 30

 1   2   3 

Filter by Year

2023 2025


Reset
Filter By Issues
All Issue Vol. 3 No. 2 (2025): October 2025 Vol. 3 No. 1 (2025): April 2025 Vol. 2 No. 2 (2024): October 2024 Vol. 2 No. 1 (2024): April 2024 Vol. 1 No. 2 (2023): November 2023 Vol. 1 No. 1 (2023): July 2023