This study examines the socioeconomic, institutional, technological, and behavioral determinants of carbon dioxide (CO
2
) emissions across the G7 countries over the period 2011–2024. Specifically, it investigates how self‐reported life satisfaction (SRLS), human development (HDI), total factor productivity (TFP), environmental policy stringency (EPS), government effectiveness (GE), and real expenditure per capita (REPC) are associated with CO
2
emissions while accounting for the nonlinear effect of HDI and the moderating role of household expenditure. Following diagnostic tests for slope heterogeneity, cross‐sectional dependence, stationarity, cointegration, multicollinearity, and model specification, the study employs the FE‐DKSE as the primary estimation technique, with PCSE and FGLS estimations used to assess robustness. The findings reveal that HDI is consistently associated with lower CO
2
emissions, while its significant quadratic term indicates a nonlinear relationship that does not support the conventional EKC hypothesis. EKC exhibits a positive association with CO
2
emissions, whereas environmental policy stringency contributes to emission reductions. Moreover, the SRLS × REPC interaction is positive and significant, suggesting that the association between life satisfaction and CO
2
becomes stronger as household expenditure increases. The robustness analyses confirm the stability of these relationships across alternative estimators. By integrating nonlinear human development effects and the behavioral interaction between subjective well‐being and household expenditure within a unified empirical framework, this study delivers updated and robust indications on the complex drivers of carbon emissions in advanced economies and contributes to a more inclusive understanding of the development–environment nexus in the G7 countries.
The exploration of sustainability in the context of the dynamic linkage between macroeconomic conditions and carbon emissions (CO
2
e) across SAARC nations reveals critical insights into how economic activities influence environmental outcomes. This study utilizes real gross domestic product (RGDP), foreign direct...
Extending the stochastic STIRPAT framework, this study investigates the impacts of institutional quality, technological progress, and natural resource dependency on CO2 emissions across the Gulf Cooperation Council (GCC) from 1995 to 2021. Econometrically, the framework integrates a multi-estimator matrix comprising FM...
E. Amer, Xiu-Wu Zhang· Sustainability· 0 citations
From the perspective of global environmental stability, the BRICS’ position as the world's leading carbon emitter poses a serious threat. Therefore, it is essential to develop a distinct model that enables policymakers to formulate robust mitigation strategies and support emission sustainability and the achievement...
Azka Amin, Nora Yusma Bte Mohamed Yusoff, Cem Işık et al.· Kybernetes· 0 citations
Shadow economy (SE) is an important feature of economic activity, yet excessive informality may undermine environmental sustainability by weakening regulatory compliance. While green energy (GE) is central to climate policy and sustainable development, the relationship between GE, SE, and ecological footprint (EFP)...
Md Salah Uddin, Rashed Jahangir, Muhammad Al Amin et al.· Frontiers in Environmental S...· 0 citations
This study examines how green technology innovation (GTI), green finance (GF), gross domestic product (GDP), and financial development (FD) affect environmental quality in Pakistan using annual data from 1990 to 2024. Autoregressive Distributed Lag (ARDL) and Nonlinear ARDL (NARDL) models estimate symmetric and asymmet...
Fatima Farooq, Muhammad Faheem, Said Zamin Shah et al.· Pakistan Journal of Commerce...· 0 citations
The study examines a gender‐disaggregated Environmental Phillips Curve (EPC) hypothesis and the role of renewable energy (REC) on environmental sustainability across 48 African countries (2000–2021) using the Load Capacity Factor (LCF). The study leverages the method of moments quantile regression (MMQR), Instrumenta...
Anthony Mawuena Numekevor, Zai-Wu Gong, Martinson Ankrah Twumasi et al.· Sustainable Development· 0 citations
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