Do Natural Disasters, Fossil Fuels, and Renewable Energy Affect CO2 Emissions and the Ecological Footprint?

Ekonomikalia Journal of Economics, Год журнала: 2025, Номер 3(1), С. 47 - 63

Опубликована: Апрель 27, 2025

Climate change is a global concern driven by increasing pollution through rising CO2 emissions and growing ecological footprint from human activities. This research investigates how environmental quality (proxied footprint) in Indonesia affected multiple factors, including natural disasters, fossil fuels, renewable energy consumption, economic growth, capital formation 1965 to 2022. The analysis employs the Autoregressive Distributed Lag (ARDL) model, with robustness ensured using Dynamic Ordinary Least Squares (DOLS), followed Granger causality tests examine dynamic relationships between variables. findings show that fuel growth contribute long run, while consumption helps reduce them. Natural disasters exhibit negative but insignificant impact on footprint. Economic increases footprint, whereas it run. In short fuels are found increase emissions, reduces Additionally, test confirms unidirectional relationship both quality. study recommends implement integrated strategies focused accelerating green adoption enhancing disaster resilience achieve

Язык: Английский

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Innovation and Carbon Emissions: A Southeast Asian Perspective

Ekonomikalia Journal of Economics, Год журнала: 2025, Номер 3(1), С. 15 - 32

Опубликована: Апрель 4, 2025

In an era where sustainable development is paramount, understanding the relationship between innovation and environmental impact has become increasingly critical. As Southeast Asian (SEA) economies strive to transition toward more knowledge-based technology-driven growth, it crucial assess whether fosters sustainability or exacerbates degradation. This study examines of ecosystem on CO2 emissions in selected SEA countries, utilizing various metrics from Global Innovation Index (GII) grouped into five categories: institutions, human capital research, infrastructure, market sophistication, creative outputs. By employing Generalized Linear Models (GLMs) conducting robustness checks with Robust Least Squares (RLS), reveals that all GII categories significantly emissions. However, findings indicate this positive, meaning landscape continues contribute rising The country-specific analysis also confirms most are still not environmentally friendly. evidence underscores need for policymakers countries prioritize frameworks promote adoption inclusive green technologies practices mitigate adverse effects

Язык: Английский

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General Equilibrium Model Applications in Energy Research: A Bibliometric Analysis

Ekonomikalia Journal of Economics, Год журнала: 2025, Номер 3(1), С. 64 - 77

Опубликована: Апрель 28, 2025

This study investigates the scholarly landscape of General Equilibrium (GE) model applications within field energy research through a bibliometric lens. Utilizing dataset 864 journal articles indexed in Scopus from 1974 to 2022, maps publication trends, identifies leading contributors, and uncovers prevailing thematic clusters field. The analysis employs VOSviewer visualize co-authorship networks, as well institutional country-level productivity, source relevance, keyword co-occurrence patterns. Results reveal that China, United States, Japan are most prolific countries, while Energy Policy Economics emerge influential journals. Among authors, Masui T. stands out productive, Paganetti registers highest number citations, reflecting significant impact over recent years. Keyword mapping highlights dominant themes centered on "computable general equilibrium analysis," model," "emission control," field’s alignment with climate-related policy evaluation. overview not only provides structured understanding intellectual developments GE-energy but also underexplored areas warrant further investigation—particularly integration GE models renewable transitions developing economies incorporation behavioral distributional dimensions assessments. contributes advancement interdisciplinary dialogue by informing future directions supporting evidence-based policymaking energy-climate nexus.

Язык: Английский

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The Impact of Green Trade Openness on Air Quality

Ekonomikalia Journal of Economics, Год журнала: 2024, Номер 2(2), С. 105 - 118

Опубликована: Окт. 21, 2024

Environmental degradation is among the most pressing issues world faces today. Air pollution one of many forms environmental and can drastically impact human health ecosystem functioning. Research shows that rapid intervention strategies are required to achieve targets set out by international agreements. One strategy has been widely accepted combat this issue introduction green products. The adoption products be increased through trade. However, knowledge trading these limited. This study examines relationship between air quality in a case 33 Organization for Economic Cooperation Development (OECD) member countries from 2003-2016. We employ several panel strategies, such as Westerlund (2008) Durbin-H method cointegration Method Moments Quantile Regression (MM-QR). was proxied newly developed ‘Green Openness Index.’ Nitrous oxide (NOx) sulfur (SOx) emissions served proxies pollution. variables explored context Kuznets Curve (EKC). analysis reveals there long-run series. Long-run estimations prove EKC hypothesis valid analyzed Additionally, empirical findings reveal environmentally friendly increases while energy consumption decreases. provide policy suggestions based on study’s outcomes, supporting trade liberalization goods, reducing tariff non-tariff barriers products, promoting goods providing subsidies other tax incentives consumers.

Язык: Английский

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Demand Analysis for Large Animal and Poultry Meat in Indonesia: An ARDL Perspective

Ekonomikalia Journal of Economics, Год журнала: 2024, Номер 2(2), С. 95 - 104

Опубликована: Авг. 23, 2024

This study examines the growing demand for large livestock and poultry meat in Indonesia, reflecting changing consumption patterns economic growth. However, this phenomenon faces challenges such as price fluctuations between provinces, declining per capita income, supply-demand gaps that affect access to of animal protein. Utilizing panel data from 34 provinces covering period 2015 2022 employing an Autoregressive Distributed Lag (ARDL) model, analyzes short- long-run relationships demand. The results indicate short run, prices income significantly influence demand, while tuna have no noticeable effect. In long prices, fish substitutes contributes development sector provides information farmers plan production, advises government educate public about protein sufficiency conduct market operations stabilize maintain availability. findings are expected help fulfill current future Indonesia.

Язык: Английский

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Starting a Business: A Focus on Construction Permits, Electricity Access, and Property Registration

Indatu Journal of Management and Accounting, Год журнала: 2024, Номер 2(2), С. 105 - 117

Опубликована: Дек. 29, 2024

Efficient processes for construction permits, electricity access, and property registration are critical to fostering entrepreneurship economic growth. Delays, high costs, bureaucratic inefficiencies in these areas pose significant barriers business start-ups. This study examines the impact of factors on starting a business, highlighting their role shaping formal activity dynamics. By applying methods such as Generalized Linear Model (GLM), Robust Least Squares (RLS), Quantile Regressions (QR) data from 213 countries cities featured World Bank’s Doing Business 2019 (DB19) 2020 (DB20) reports, this paper demonstrates that all three significantly positively business. Notably, comparison results between DB19 DB20 reveals magnitude influences decreased DB20, with some effects becoming less or even insignificant compared DB19. phenomenon is most apparent middle-to-high scores. The findings suggest shocks like COVID-19 pandemic may have reduced relevance increased risks associated during likely overshadowed considerations. Overall, indicate streamlining improving simplifying could enhance entrepreneurial activity, drive growth, foster more dynamic environment.

Язык: Английский

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The Impact of Credit Access on Economic Growth in SEA Countries

Indatu Journal of Management and Accounting, Год журнала: 2024, Номер 2(2), С. 96 - 104

Опубликована: Дек. 28, 2024

Access to credit serves as a vital catalyst for economic growth, allowing individuals, enterprises, and governments fund investments, maintain consumption stability, encourage productive endeavors. Economic growth is fundamental sustainable development, enhancing living standards, promoting innovation. This study investigates the impact of access on in Southeast Asia (SEA) countries using monthly data from 2014 2020. By applying Fully Modified Ordinary Least Squares (FMOLS) method, along with robustness checks Dynamic (DOLS) technique, this includes essential control variables such capital, labor, technology. The results reveal that has positive while capital technology also contribute positively growth. Conversely, labor shows negative within region. These are consistent across both FMOLS DOLS analyses. Based these findings, Asian policymakers ought facilitate accessibility by making loan applications more straightforward, minimizing bureaucratic obstacles, providing lower interest rates, especially small enterprises marginalized communities. Moreover, encouraging financial institutions lend liberally utilizing digital platforms can expand access. Additionally, investing technology, improving formation, tackling market challenges will effectively align region's path.

Язык: Английский

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Artificial Intelligence in Islamic Finance: Forecasting Stock Indices with Neural Prophet

Indatu Journal of Management and Accounting, Год журнала: 2024, Номер 2(2), С. 68 - 80

Опубликована: Ноя. 29, 2024

Ensuring financial system stability is paramount, especially in markets guided by Sharia principles, where investor confidence and adherence to ethical standards play critical roles. The ability accurately forecast stock movements within this framework not only supports informed investment decisions but also strengthens the overall of markets. This research employs innovative Neural Prophet model predict Islamic indices Indonesia with remarkable accuracy depth. demonstrates its capability forecasting trends detecting subtle fluctuations three indices: Jakarta Index (JII), 70 (JII70), Stock (ISSI). Visual representations highlight model's adaptability advanced foresight, surpassing traditional models. significance lies potential enhance precision index predictions, particularly for stocks, offering stakeholders deeper insights. effectiveness spans both stable volatile market conditions, making it a valuable tool decision-making. Accurate forecasts aid risk management support well-informed fluctuating markets, thereby contributing stability.

Язык: Английский

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The Impact of Foreign Direct Investment, Private Investment, Government Expenditure, and Labor on Economic Growth in Indonesia

Deleted Journal, Год журнала: 2024, Номер 2(1), С. 26 - 38

Опубликована: Сен. 24, 2024

Sustainable economic growth is a key goal for every developing country, including Indonesia. In this context, several factors have been identified as the main determinants influencing pace of growth. This study investigates Indonesia’s in relation to foreign direct investment (FDI), private investment, government spending, and labor. The Autoregressive Distributed Lag (ARDL) method applied analyze time series data from 1986 2022. results indicate that, long term, spending has positive significant effect on Indonesia, while labor negative effect. short FDI impact Therefore, regulations policies are needed Indonesia regarding tax collection, currency stabilization, facilitation permit acquisition, protection, legal certainty.

Язык: Английский

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Long-Term Impact of Dirty and Clean Energy on Indonesia’s Economic Growth: Before and During the COVID-19 Pandemic

Deleted Journal, Год журнала: 2024, Номер 2(1), С. 66 - 76

Опубликована: Ноя. 25, 2024

Dirty (non-renewable) energy, considered environmentally harmful due to greenhouse gas emissions, is contrasted with clean (renewable) which believed have positive ecological impacts that can boost economic growth in the long term. This study analyzes long-term effects of electricity generation from both dirty and energy sources on Indonesia, using data two periods: before COVID-19 pandemic (2000–2019) full period including (2000–2022). Empirical findings Fully Modified Ordinary Least Squares (FMOLS) Dynamic (DOLS) methods reveal significantly periods, while does not a substantial effect. A robustness check conducted Canonical Cointegrating Regression (CCR) method confirms continues play crucial role Indonesia's growth. key finding impact was stronger compared before. suggests contributed more during pandemic. The recommends balanced approach by prioritizing transition recognizing importance economy. should be gradual, current support development investing alternatives for sustainable

Язык: Английский

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