Assessing Forest Conservation for Finland: An ARDL-Based Evaluation

Georgescu, Irina; Kinnunen, Jani; Nica, Ionuț

doi:10.3390/su16020612

Cited by 5 publications

(2 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In another study [12], authors explore the determinants of FAG for Finland for the period 1990-2022. The findings indicate that an increase in forest area is positively associated with both renewable energy production and urban development; economic expansion is inversely related to forest area growth; and, in the short term, an increase in forest area shows a positive association with all examined factors.…”

Section: Economic Growth and Deforestationmentioning

confidence: 99%

Evaluating the Determinants of Deforestation in Romania: Empirical Evidence from an Autoregressive Distributed Lag Model and the Bayer–Hanck Cointegration Approach

Georgescu,

Nica

2024

Sustainability

Self Cite

View full text Add to dashboard Cite

This study focuses on deforestation, a key aspect of the current environmental decline linked to worldwide economic development and increasing populations. It examines how renewable energy consumption (RENC), GDP per capita, urbanization (URB) and foreign direct investments (FDI) have influenced the expansion of forest areas (FAG) in Romania from 1990 to 2022, utilizing an autoregressive distributed lag (ARDL) model and the Bayer–Hanck cointegration approach. The main results of the paper are the following: GDP has a positive and statistically significant long-term influence on FAG; URB and FDI have a long-term negative impact on FAG; and RENC is not a significant determinant of FAG. In the short term, a 1% increase in URB leads to an 809.88% decrease in FAG, while a 1% increase in the first and second lag of URB leads to a 323.06%, and 216.26% increase in FAG. This suggests that as more land is developed for urban use (like building homes, businesses, and infrastructure), the immediate consequence is a significant reduction in the area available for forests. This effect indicates a strong inverse relationship between urbanization and the availability of land for forests in the short term. Our results underscore the importance of sustainable development strategies, including green urban planning and robust forest conservation, to offset the adverse effects of increased FDI on Romania’s environmental conservation, emphasizing the need for careful strategic planning and strong environmental policies to balance economic growth with forest protection.

show abstract

Section: Economic Growth and Deforestationmentioning

confidence: 99%

Evaluating the Determinants of Deforestation in Romania: Empirical Evidence from an Autoregressive Distributed Lag Model and the Bayer–Hanck Cointegration Approach

Georgescu,

Nica

2024

Sustainability

Self Cite

View full text Add to dashboard Cite

show abstract

“…The findings are discussed with considerations for policy implications and directions for future research. Another study [13] focuses on analyzing the impact of renewable electricity production, GDP per capita, and urbanization on forest growth in Finland between 1990 and 2022. Using the ARDL model, the research highlights a long-term relationship between these factors and forest area growth, which is supported by renewable electricity and urbanization but hindered by economic growth.…”

Section: Hypothesismentioning

confidence: 99%

Evaluating the Environmental Phillips Curve Hypothesis in the STIRPAT Framework for Finland

Kinnunen,

Georgescu,

Nica

2024

Sustainability

Self Cite

View full text Add to dashboard Cite

In the context of increasing concerns about environmental sustainability and economic growth, this study evaluates the Environmental Phillips Curve hypothesis within Finland’s STIRPAT framework from 1990 to 2022. Finland is renowned for its commitment to environmental policies and renewable energy innovations, yet it faces challenges in balancing economic growth with environmental protection. The identified problem is the need to understand the trade-offs between economic growth and environmental impact in this specific context. Using the ARDL model, we analyze the effects of GDP per capita, renewable energy consumption (RENC), urbanization (URB), and unemployment rates (UR) on greenhouse gas emissions (GHG). Our findings show that while GDP and urbanization increase GHG emissions, renewable energy significantly reduces them. The Error Correction Model highlights quick adjustments toward equilibrium, reflecting the effectiveness of Finland’s environmental policies. Short-term results confirm the limited impact of urbanization on GHG emissions, possibly due to advanced urban planning. The FMOLS, DOLS, and CCR techniques further support these findings, emphasizing the importance of renewable energy in mitigating environmental impacts. This study provides crucial insights for policymakers seeking to balance economic growth with environmental sustainability in Finland.

show abstract

Assessing the Dynamics of Ecological Footprint in Relation to Economic and Energy Factors: A Comparative Analysis of Finland and Japan

Oprea,

Bâra,

Georgescu

2024

J Knowl Econ

View full text Add to dashboard Cite

The ecological footprint (EF) has a complex relationship with several key factors, including economic growth, nuclear energy, urban population, and renewables. The scope of this paper is to analyze the effect of renewables (REN), GDP per capita, urbanization (URB), and nuclear energy (NUK) on EF by means of the ARDL model for Finland and Japan. The ARDL long-run estimated coefficients are validated by supplementary tests, such as FMOLS, DOLS, and CCR. While Finland and Japan share similarities in education, technology, and quality of life, they differ significantly in geography, population density, cultural practices, economic structure, and historical backgrounds. The main results indicate that in the long term, REN and NUK exhibit a negative impact on EF, while GDP and URB exhibit a positive impact on EF for Finland. Additionally, REN, URB, and NUK exert a negative impact on EF, while GDP exerts a positive impact on EF for Japan. The ECT of − 1.96 for Finland indicates a very fast and strong correction towards equilibrium in the EF following any short-term disturbances. Furthermore, an ECT of − 1.01 in the ARDL model for Japan indicates a very fast adjustment of the EF to its long-term equilibrium following any short-term disturbances caused by changes in REN, GDP, URB, or NUK. Our research proposes some policy implications for both economies. Its main contributions enhance the understanding of the complex relationships between economic growth, energy sources, urbanization, and environmental impact, providing guidance for sustainable development policies.

show abstract

Assessing Forest Conservation for Finland: An ARDL-Based Evaluation

Cited by 5 publications

References 57 publications

Evaluating the Determinants of Deforestation in Romania: Empirical Evidence from an Autoregressive Distributed Lag Model and the Bayer–Hanck Cointegration Approach

Evaluating the Determinants of Deforestation in Romania: Empirical Evidence from an Autoregressive Distributed Lag Model and the Bayer–Hanck Cointegration Approach

Evaluating the Environmental Phillips Curve Hypothesis in the STIRPAT Framework for Finland

Assessing the Dynamics of Ecological Footprint in Relation to Economic and Energy Factors: A Comparative Analysis of Finland and Japan

Contact Info

Product

Resources

About