Template-Type: ReDIF-Article 1.0 Author-Name: I. Openko Author-X-Name-First: I. Author-X-Name-Last: Openko Author-Name: R. Tykhenko Author-X-Name-First: R. Author-X-Name-Last: Tykhenko Author-Name: O. Tsvyakh Author-X-Name-First: O. Author-X-Name-Last: Tsvyakh Author-Name: O. Shevchenko Author-X-Name-First: O. Author-X-Name-Last: Shevchenko Author-Name: O. Tykhenko Author-X-Name-First: O. Author-X-Name-Last: Tykhenko Author-Name: Ya. Stepchuk Author-X-Name-First: Ya. Author-X-Name-Last: Stepchuk Author-Name: A. Rokochinskiy Author-X-Name-First: A. Author-X-Name-Last: Rokochinskiy Author-Name: P. Volk Author-X-Name-First: P. Author-X-Name-Last: Volk Author-Name: A. Shatkovskyі Author-X-Name-First: A. Author-X-Name-Last: Shatkovskyі Author-Name: Ye. Kryvoviaz Author-X-Name-First: Ye. Author-X-Name-Last: Kryvoviaz Author-Name: O. Chumachenko Author-X-Name-First: O. Author-X-Name-Last: Chumachenko Title: Mathematical models for estimating the economic impact of using forestry land in the European Union Abstract: The article presents theoretical and methodological approaches to mathematical modelling of economic indicators of using forestry land. Successful experience of the European Union in the field of forestry from the standpoint of sustainable development in terms of significant anthropogenic, economic and climatic load on natural ecosystems was analysed. Mathematical models of economic indicators of using forestry land in the European Union were made. The obtained results of the research enable to model the policy of forest management on the basis of economic and mathematical calculations in different countries of the world. Journal: Int. J. of Green Economics Pages: 1-13 Issue: 1 Volume: 20 Year: 2026 Keywords: forestry land; forest cover loss; mathematical model; forest sector of the economy. File-URL: http://www.inderscience.com/link.php?id=151892 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgrec:v:20:y:2026:i:1:p:1-13 Template-Type: ReDIF-Article 1.0 Author-Name: Bhuvaneskumar Annamalaisamy Author-X-Name-First: Bhuvaneskumar Author-X-Name-Last: Annamalaisamy Title: Dynamic nexus of 'economy-energy-environment' in BRICS countries: a time-frequency analysis Abstract: This study investigates the association and coherence of energy consumption (EC), economic growth, and environmental quality (Carbon emissions) of Brazil, Russia, India, China, and South Africa (BRICS countries) over the period 1971-2018. We employed wavelet correlation and partial wavelet coherence approaches to determine the associations of EC, economic growth, and carbon emissions (CO<SUB align="right"><SMALL>2</SMALL></SUB>) for the countries with strong economic development and most polluting nature (BRICS). The empirical results for Brazil, China, and South Africa show a weak short-run association between economic growth and EC/CO<SUB align="right"><SMALL>2</SMALL></SUB> emissions. However, Russia and India have exhibited long-run comovement among economic growth and EC/CO<SUB align="right"><SMALL>2</SMALL></SUB> emissions while controlling for trade openness. These findings also support the pollution haven hypothesis (PHH). A clear understanding of the complex dynamic interactions between the economy, energy, and environment is possible through wavelet analysis with multiple time-horizons. This study suggests that BRICS countries should adopt/revamp renewable policy interventions that ensure the swift sustainable energy transition, thus contributing to global warming mitigation targets. Journal: Int. J. of Green Economics Pages: 27-43 Issue: 1 Volume: 20 Year: 2026 Keywords: economic growth; energy use; CO2 emissions; BRICS; wavelet correlation; wavelet coherence. File-URL: http://www.inderscience.com/link.php?id=151900 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgrec:v:20:y:2026:i:1:p:27-43 Template-Type: ReDIF-Article 1.0 Author-Name: Pasquale Marcello Falcone Author-X-Name-First: Pasquale Marcello Author-X-Name-Last: Falcone Author-Name: Antonio Lopolito Author-X-Name-First: Antonio Author-X-Name-Last: Lopolito Author-Name: Edgardo Sica Author-X-Name-First: Edgardo Author-X-Name-Last: Sica Title: Rising from the pandemic: do ESG factors matter for resiliency in the Italian Stock Market? Abstract: This study examines the resilience of ESG investments across different phases of the COVID-19 pandemic, focusing on the Italian Stock Exchange. We compare the performance of firms included in the MIB ESG index with a carefully stratified control group of non-ESG companies. Using a network analysis approach, the results show a higher degree of resilience among ESG assets, particularly in the post-lockdown phase, when they exhibited a faster and stronger recovery than traditional investments. The findings suggest that firm-level commitments to environmental responsibility, social engagement, and sound governance can enhance market robustness during periods of uncertainty and stress. By providing empirical evidence on the stabilising role of ESG practices, the study contributes to the sustainable finance literature and improves understanding of the relationship between ESG investing and market dynamics. The analysis identifies consumer discretionary, healthcare, and technology as the sectors that benefited most from ESG adoption during the recovery phase. Journal: Int. J. of Green Economics Pages: 14-26 Issue: 1 Volume: 20 Year: 2026 Keywords: resilience; Italian Stock Exchange; COVID-19; environmental, social, and governance; ESG; asset correlation networks. File-URL: http://www.inderscience.com/link.php?id=151901 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgrec:v:20:y:2026:i:1:p:14-26 Template-Type: ReDIF-Article 1.0 Author-Name: Nouran M. Taha Author-X-Name-First: Nouran M. Author-X-Name-Last: Taha Author-Name: Dalia M. Ibrahiem Author-X-Name-First: Dalia M. Author-X-Name-Last: Ibrahiem Author-Name: Rasha Sameh Author-X-Name-First: Rasha Author-X-Name-Last: Sameh Title: The load capacity curve and foreign aid in recipient countries: an empirical investigation Abstract: Despite growing interest in the load capacity factor as a comprehensive indicator of environmental quality, research on its determinants, especially in cross-country and developing economies contexts, remains limited. This study examines the load capacity curve, linking environmental quality (measured using the load capacity factor) and economic growth, while exploring how foreign aid influences ecological outcomes in developing nations. The analysis follows a two-step approach. The study first employs quantile regression, identifying an N-shaped load capacity curve across quantiles. Next, a threshold model is employed to capture the nonlinear impact of foreign aid. Results reveal that lower aid levels correlate with environmental degradation, but exceeding a 7% gross national income threshold shifts the relationship to positive. Notably, this threshold alters the curve from N-shaped to inverted-N, emphasising that no universal pattern exists across developing countries. These findings emphasise the importance of foreign aid in guiding economic growth toward more sustainable outcomes. Journal: Int. J. of Green Economics Pages: 72-88 Issue: 1 Volume: 20 Year: 2026 Keywords: load capacity curve; LCC; official development assistance; renewable energy; quantile regression; threshold model. File-URL: http://www.inderscience.com/link.php?id=151904 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgrec:v:20:y:2026:i:1:p:72-88 Template-Type: ReDIF-Article 1.0 Author-Name: Xiaohang Ren Author-X-Name-First: Xiaohang Author-X-Name-Last: Ren Author-Name: Qian Lu Author-X-Name-First: Qian Author-X-Name-Last: Lu Author-Name: Yi Jin Author-X-Name-First: Yi Author-X-Name-Last: Jin Title: The club convergence in green economy: evidence from 120 countries during 2010-2020 Abstract: The neoclassical theory posits that an economic system often presents multiple stable equilibria in response to short-term shocks, rather than a sole equilibrium. Contrary to the conventional <i>β</i>-convergence approach that emphasises the convergence of equilibrium across all nations, the club convergence methodology uncovers the diverse trajectories of green economic growth among different countries. Utilising global green economic growth data from 2010 to 2020, this paper distinguishes four types of 'club convergence' and delves into the potential factors shaping the emergence of these clubs. The results indicate that energy vulnerability, the human development index, and GDP per capita enhance a country's probability of joining high green economic growth clubs, whereas per capita carbon emissions, the unemployment rate, and the urbanisation rate diminish the likelihood of belonging to these high-growth clubs. Additionally, this paper presents substantial evidence on how spatial spillover effects and temporal effects collaboratively impact the formation of various clubs. Through these analyses, this paper furnishes novel theoretical perspectives on the geographical distribution of green economies and their determinants, and advocates for the formulation of differentiated green economy policies in accordance with each country's economic structure and green development level. Journal: Int. J. of Green Economics Pages: 44-71 Issue: 1 Volume: 20 Year: 2026 Keywords: green economy; club convergence; energy vulnerability; spatial spillovers. File-URL: http://www.inderscience.com/link.php?id=151905 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgrec:v:20:y:2026:i:1:p:44-71